Showing posts with label SEO Tips. Show all posts

Saturday, July 11, 2026

Google Canonical Evaluation Can Take Up To 2 Weeks

Google has updated the canonicalization troubleshooting guide. This guide explains how long Google takes to reevaluate cluster pages. It is common practice that pages leave cluster pages quickly after submission. You need to manually ask Google for indexing to re-evaluate cluster pages.

Google’s canonical troubleshooting guide explains that you need to wait up to 2 weeks after fixing content to index it in search.

It also explains that pages get out of cluster pages quickly but only when there is a difference between the new content.

Google Canonical Evaluation Can Take Up To 2 Weeks: eAskme
Google Canonical Evaluation Can Take Up To 2 Weeks: eAskme

 

Why Does Google Keep Cluster Pages for Two Weeks?

Google groups similar content pages in a cluster and selects only one as canonical. The new updates guide explains that the only way to make your page leave cluster group is to publish content which is different than cluster pages.

If your new content is different than grouped pages, then it will leave the cluster quickly.

Rather than redirecting or misinformation, google wants you to fix the content on these pages to add real value.

It is best to check Google selected canonical URL to find out if it is the best page for users or not.

Google Canonical Guidance:

Google updates canonical documents in the JavaScript docs. It has updated the canonical document multiple times in recent months.

Why Canonical Guidance Matters:

If you have updated content, your pages are in the group of pages. You should know that Google has set the waiting period up to 2 weeks to fix and reevaluate the content.

After Google’s revaluation your content may get reindexed.

Conclusion:

Google has made it clear that a waiting period can take up to 2 weeks. You need to fix content to ensure that it does not match the other pages. The quicker you can edit and submit your pages, the faster they can get out of the Google cluster pages group.

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Wednesday, July 8, 2026

Retargeting Ads: How it works?

Ads retargeting is an essential part of ad campaigns. You must understand what Retargeting is. How can you use success retargeting strategy for your business?

Google first addressed retargeting in 2010.

Now, businesses are using ad retargeting in a much more significant way.

Retargeting Ads: eAskme
Retargeting Ads: eAskme

Is there no option you should use retargeting ads or not?

Ads retargeting is a must.

Now the question is, how should you use retargeting for your paid campaigns?

Whether a newbie or an expert marketer who wants to improve your retargeting strategy, you should know how to create retargeting campaigns.

Importance of Ads Retargeting:

Retargeting ads are pretty beneficial for eCommerce sites.

The eCommerce industry has a 0.7% to 4% conversion rate, which is relatively low. Low attention span is the reason. When people scroll a lot, they usually forget the product they are interested in. Therefore, retargeting ads help improve your marketing strategy.

People visiting your page for the first time may not be interested in purchasing anything.

For example, if only 4% of visitors want to buy from the site, then the rest, 96%, are not easy to convert.

If your retargeting ad tells people to buy your product, it will not yield any good results.

Your "Buy Now" retargeting ad will not make 96% of people convert.

What makes the retargeting ad successful?

  • Audience behavior segmentation.
  • Choosing the best ad platform.
  • Serve the right audience to pitch the right message.

How Retargeting Ads Will Help You?

The retargeting ad is unsuccessful if it only pitches to people "Buy Now."

A successful retargeting ad will follow the next buying decision step.

Your retargeting ad should understand what your customer is looking for and the steps to help him make the final purchase decision.

To make it work for you, you need a remarketing strategy.

Tagging:

Tagging is the first thing you need to take care of when running retargeting ads.

Tags are helpful when you are targeting customers on apps or websites.

Each ad platform has a different pixel for retargeting ads.

Here are the most popular ad platforms for retargeting:

  • Google Ads
  • Facebook/Meta Ads.
  • Twitter Ads.
  • Microsoft Ads.
  • Instagram Ads
  • LinkedIn Ads.
  • Twitter Ads.
  • Snapchat Ads.
  • TikTok Ads.
  • Pinterest Ads.

Adding too many pixels to your website can slow down your website.

Therefore, it is best to use Google Tag Manager for effective management.

How do Tags Work?

Tags help to identify user behavior on your website. And use this data for ad targeting on different platforms.

The best thing about using tags is to get rid of third-party cookies. Google has already announced that the brand will remove third-party cookies.

This change has increased the need for retargeting ads.

Create Targeted Audiences:

The absence of third-party cookies will impact the ad retargeting.

Instead, you will need first-party data such as email address, contact number etc.

After collecting first-party data, you will have limitless segmentation opportunities such as;

  • How do visitors come to your website or blog?
  • How long do visitors stay on your website?
  • What action visitor has completed?
  • What products or categories have they viewed?
  • Have they purchased anything?
  • How much have they spent on watching videos?
  • What offers have they found interesting?
  • How have they engaged with your social media pages?

Be creative when creating retargeting ads to remarket your business.

Upload visitors' information on ad platforms to retarget users.

You can upload:

  • First Name and Last Name:
  • Email Address
  • Phone Number
  • Address, etc.

You can easily retarget the audience when your data matches the ad platform.

With the help of pixels and tags, you can easily create an audience based on behavior.

You can create remarketing lists after linking your Google ads account with your YouTube channel.

Message:

Once you understand your audience, choosing the right message is next.

Use different messages for different audience segmentations.

Dont look for the sale but look for the process that can lead the user to make the purchase.

Here is what you can do in different scenarios:

  • For Product Awareness, create an informative page and lead the visitor to that page.
  • Use qualifying factors for retargeting ads and make them download whitepapers.
  • Lead people to lucrative offers once they complete an action.
  • Don't use push marketing. Ads retargeting is about Pull marketing.

Ad Platform:

After choosing the tags, pixels, audience, and message, the next step is to choose the right ad platform for retargeting ads.

I have already shared the major ad platform for retargeting.

How to find the best retargeting platform for ads?

You can find the answer with these.

Critical Demographics of your audience.

Pages where the audience spends maximum time.

Why are you collecting user information?

The message you are sending to your audience.

You will find the answer to these questions when you dig deeper into user behavior and understand buyers' personas.

And with that answer, you will find the best retargeting ad platform.

Conclusion:

Use the above tips to see growth in conversion and revenue.

In the past few years, retargeting options have changed a lot.

Now, it is necessary to align retargeting with users' expectations.

Keep an eye on what is changing in the ads and marketing industry. It will keep you updated with the changes in retargeting strategies.

Still have any question, do share via comments.

Share it with your friends and family.

Don't forget to like us FB and join the eAskme newsletter to stay tuned with us.

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Wednesday, June 10, 2026

17 SEO Mistakes, How to Fix Them, and What to Avoid

Search engine optimization continues to trip up even experienced marketers, costing businesses visibility and revenue.

This article breaks down 17 common SEO mistakes and provides clear solutions to fix them, drawing on insights from industry experts who have diagnosed these issues across hundreds of campaigns.

Each mistake comes with a practical remedy and guidance on what to avoid moving forward.

SEO Mistakes, How to Fix Them, and What to Avoid: eAskme

Other people are reading: Best Subreddits for SEO, Marketing, Social Media, Product, Technology, Development, Business and Bonus!

1. Too Much AI:

Access to everything is bad. The same applied to AI. At the same time, AI tools are making the job of SEO professionals and content creators easy. But relying too much on AI hurts the quality, human insight, and organic ranking.

It is advisable to use Ahrefs, SEMrush and other SEO tools. But only to understand the issues and fixes. You cannot let AI do SEO or generate content for your website.

I have already shared why you should not use ChatGPT for Law Firm SEO.

Gaurav Kumar, Founder and CEO at eAskme.  

2. Handle Noindex and Launch Checks Seriously

We relaunched a client's e-commerce website a few years ago and about 1,500 URLs ended up as "crawled - currently not indexed" in Google Search Console. It happened because every new category page got shipped with a global noindex tag in the frenzy of the final stages of the relaunch. As a result, the client's organic revenue fell by about 30%.

I will admit that a bit of panic did set in at first, but we were able to jump in and fix it in time.

- We stripped the rogue tag and rolled out a new lean XML sitemap with priority pages only.

- We also built a new internal-link web that pointed to the affected categories and requested re-indexing (in batches to avoid crawl-budget shock).

The pages eventually regained rankings in about six weeks and sales then began to bounce back.

The lesson we learnt is that your staging-to-live checklists should be treated as sacred.

Isaac Bullen, Marketing Director, 3WH

3. Slow Down and Earn Trust

When I first started my business, I was very focused on getting content out quickly, rather than spending time on creating quality content. I wrote a tremendous volume of AI-generated SEO articles for clients (all B2B) in a very short period of time, and I believed that boosting the articles with internal linking and optimizing my website would make up for any shortcomings in the articles, quality-wise.

This did increase the amount of digital traffic to our websites, but it did not convert into increased leads. Even though the content ranked well, it did not align with the challenge that our target audience was attempting to address.

While I technically did match what our target audience was searching for, I had not built any trust with them. Per comments from the sales team, prospective customers viewed our content as being "generic," even though, by the metrics of Ahrefs, our articles looked good.

Therefore, I ceased publishing content because I had the opportunity to interview the sales staff to learn about the challenges faced by prospective customers and what words they were using to describe the transactions, as well as examples that were received well during earlier calls.

I utilized AI to generate outlines of the content and to clean up the final drafts of the articles, but the primary authorship remained with humans.

Tracking rankings is not an accomplishment; tracking revenue is more important.

Do not use AI or the need for speed as an excuse to publish subpar content.

Mike Khorev, SEO Consultant, Mike Khorev

4. Guard Robots Files With Rigid Checks

I once blocked an entire subdirectory in robots.txt during a site migration and killed 40% of our organic traffic in three weeks. We caught it during a routine crawl audit, but the damage was already done... Recovery took us 2 months even after we fixed the file and resubmitted the sitemap.

Everyone makes technical errors - the lesson was that I had no process to catch it before it shipped.

So now I run a staged deployment checklist that includes:

  • A crawl simulation on staging,
  • A manual robots.txt review by two people,
  • And a post-launch monitor that alerts me if indexed page counts drop more than 5% week over week.

I also keep a rollback-ready version of every configuration file we touch.

My recommendation is to treat robots.txt and canonical tags like you treat database migrations. One wrong line can erase months of work, so you should always build a review gate.

Milosz Krasinski, International SEO Consultant, Owner, Chilli Fruit Web Consulting

5. Validate SERPs, Not Just Scores

One SEO mistake that taught me a hard lesson was relying too heavily on keyword difficulty scores from tools. Early on, I targeted keywords labeled "easy," only to find page one dominated by high-authority brands that perfectly matched user intent.

Rankings stalled, and a lot of time was wasted.

I fixed this by making SERP review mandatory before creating content.

Now I check:

  • Who ranks
  • Their Domain Rating
  • Traffic
  • Backlink depth
  • How well they answer the query

In many cases, that shift helped pages rank within 60 days because we focused on keywords where competitors had thin content and fewer than 10 referring domains.

My advice is simple. Treat keyword difficulty as a directional signal, not a decision-maker. Always validate the SERP manually.

Nick Mikhalenkov, SEO Manager, Nine Peaks Media

6. Strengthen Strategic Internal Links

Early on, I made the error of neglecting internal links while chasing external backlinks. I used to assume that authority came only from external sources.

At the time, I would publish great content and move on to outreach, which leaves new pages un-integrated into the site's structure. This created a growing number of orphan or poorly connected pages that Google could index, but couldn't crawl, analyze, and rank consistently.

We rectified this by embracing a streamlined hub-and-spoke model. We evaluated the site for high-performing authoritative pages and linked them to relevant new pages, both topically and chronologically, to redistribute link equity and reinforce contextual relevance.

Furthermore, we instituted a publishing rule that every new page has to be contextually linked to multiple relevant pages and has to have significant inbound and outbound links at launch.

I recommend applying the same level of thought and strategy to internal linking as you would to external linking. Internal links guide crawler behavior, outline the interrelationships of the content, and indicate to the algorithm the hierarchy and importance of the content.

Overlooking internal links means you are leaving one of the best, most efficient, and high ROI levers in SEO untouched.

Brandon Schroth, Founder, Reporter Outreach

7. Fix Foundations Before You Scale Content

One of the biggest SEO mistakes I made was focusing too much on publishing content quickly without first fixing the technical foundation of a website.

We once pushed a large batch of blog and service pages for a client, but traffic barely moved because the site had indexing issues, slow load times, and weak internal linking.

Adil Rafeeque, Co-Founder and CEO, SEO Expert

8. Delete Thin Lists, Focus Relevance

I wrote too much content, and ended up with irrelevant content.

I run a blog about Lisbon, Portugal, and I had written a lot of great content, the blog was growing, but then I hit a wall and started writing "best X" articles, and a lot of them, and this started hurting me. It was clear that Google saw this as thin, easy-to-duplicate content, especially if you don't add a personal edge to each piece.

I then deleted all of these and significantly reduced my content, which actually made my traffic start growing again. Likely because Google started scoring my overall website content score higher.

Phillip Stemann, SEO Consultant, Phillip Stemann

9. Create Hyperlocal Pages With Real Proof

Okay, so here's a little SEO lesson I learned the painful way. Years ago, I worked with this multi-location firm.

We were in a rush, so we cranked out location pages with almost identical content, just changing the city name. And yeah, it actually worked for about three months.

But then Google updated the algorithm, and traffic nosedived. They went from pulling in 180 leads a month to struggling to break 60.

Had to go back and do it right. We rebuilt every page from the ground up and made it hyper-local.

Showed who worked in that office, pulled in actual reviews from people in that city, talked about real cases, and even gave directions from local landmarks.

It was a pain, but six months later not only were they ranking again, but their conversion rate doubled. Because people actually felt like the content was for them.

Since then, I keep saying the same thing over and over. If your content doesn't feel like it was written for a real person in a real place, it's not worth publishing. Templated junk won't cut it anymore with Google or with people.

Sasha Berson, Grow Chief Executive, Grow Law Firm

10. Chase Gaps, Not Competitors

I used to just copy what my competitors were ranking for.

Sure, I got some traffic, but I was always one step behind. Now I look for the specific questions people are searching for that nobody is answering. That's what actually works.

My advice is to stop chasing the crowd and find those gaps for yourself. It's a much better way to grow.

Justin Herring, Founder and CEO, YEAH! Local

11. Use Natural Anchors With Context

I once went too far with anchor text optimization. The rankings jumped up fast, but then Google caught on and our organic growth flatlined.

Working with national brands since then showed me that natural, relevant links are what actually last. My advice?

Be genuine with your linking. Focus on context over keywords to avoid penalties.

Miguel Salcido, CEO, Organic Media Group

12. Refresh Winners Before You Pursue New Topics

Years ago I made the mistake of letting my old blog posts get stale.

Our best repair guides started dropping in Google, and traffic fell off a cliff. But once we went back and updated those old posts with fresh info and clearer photos, the traffic came right back. Seriously, don't just chase new topics.

The real opportunity is updating what you already have out there.

David Fuller, Marketing Director, WorkshopManuals

13. Prefer Evergreen Guides, Skip Trend Bait

My big early mistake was chasing whatever tech keywords were trending. I had one post get a huge spike in traffic for a week, then it vanished as soon as the news cycle moved on. It was ugly.

I switched to writing detailed guides and updating them regularly. Our traffic stopped being a roller coaster and I could tell people were actually finding the content useful.

Now I build content that lasts instead of chasing those quick hits.

Branden Shortt, Founder & Product Advisor, The Informr

14. Recommit to SEO for Durable Growth

I believe that in past years I neglected my SEO strategy, partly due to the success I achieved on other platforms when it came to converting clients. It wasn't until about a year ago that I started giving it the importance it truly deserves again.

In recent times, SEO has become more important than ever, and there are significant opportunities to be found.

First of all, many people have stopped investing in it after the latest Google updates, which penalized many small businesses that were not engaging in any bad practices.

Secondly, this has impacted many agencies that were doing good work but, after traffic drops, ended up losing clients. If we add to this the fact that SEO is not "trendy" right now, we find a large number of empty spaces waiting to be filled.

On the other hand, artificial intelligence and LLMs are fed by search engines. So the way to appear in them is, once again, SEO.

As if that weren't enough, just look into the most disruptive brands and I can assure you that the most successful ones all have a strong SEO strategy. It doesn't matter if they are better known for their social media presence or for viral videos—those that perform best have an SEO strategy behind them.

For these reasons, I have launched several websites and am collaborating with other media outlets to strengthen my presence in organic search.

Jose Garcia, Economista 3909 - Marketing 447, Economista Jose Garcia

15. Make SEO a Continuous Discipline

I started a global branding and digital marketing firm 24 years ago. It is a common mistake to believe that SEO is a one-time activity—set it and forget it.

Search engines are constantly updating their algorithms and keywords and evolving, so SEO needs to be an ongoing commitment for content to stay on top—page 1. Search engines will continue to find and serve up websites that contain the best content and information to meet its users' needs, so make it an ongoing priority.

Google updates algorithms regularly to make sure sites aren't tricking audiences with their process to move up the ranks unfairly.

One big danger is making a lot of small SEO changes to your site. Although it's smart to update your site with fresh content, you have to be careful it doesn't look suspicious and get penalized by the search engines.

It's also a danger and rookie mistake: if you discontinue a product or service, do not delete the page from your site.

Once the page is deleted, both the URL and the keyword for which it was ranked will disappear. Don't risk losing your ranking if you delete a product or service. Simply add a message for visitors to your site to redirect them to the relevant page. You work hard to get your strong rankings, so don't let that effort go to waste unnecessarily or by accident.

It is important to conduct thorough SEO audits to uncover any technical SEO issues, including broken links. Good internal and external links show both users and search crawlers that you have high quality content.

Over time, with content changes, links can break, which creates a poor user experience and reflects lower quality content, a factor that can affect page ranking.

SEO is a great strategy to increase your visibility, awareness, credibility and rankings online.

Paige Arnof-Fenn, Founder & CEO, Mavens & Moguls

16. Target High Intent, Not Volume

I'm with Gotham Artists, a boutique speaker bureau, and the SEO mistake that probably cost us the most time and money early on was getting obsessed with high volume keywords instead of actually thinking about search intent.

The Mistake:

I went hard after broad terms like "motivational speakers" because the search volume looked incredible—like thousands of searches every month.

We eventually ranked pretty well for it, traffic started coming in, and I felt like I was crushing SEO.

Except almost none of that traffic actually converted.

When I finally looked at what these visitors were doing, most of them were students doing research projects, people just browsing for inspiration, or folks looking for free content. Not a single company with an actual budget trying to book a speaker for their event.

Meanwhile, we were barely showing up for searches like "keynote speaker for healthcare conference" or "innovation speaker for tech summit"—way lower volume, but those were the people actually trying to book speakers with real budgets and timelines.

What I Learned:

Traffic by itself is basically a vanity metric if it's the wrong traffic. A hundred people searching "book keynote speaker for annual sales kickoff" are worth way more than ten thousand people searching generic stuff. Search intent is everything.

How I Fixed It:

I completely flipped the strategy. Instead of chasing volume, I started looking at what actual buyers were searching for.

I went through our inquiry forms to see what phrases people used, listened to how prospects described what they needed on calls, looked at the specific types of events and industries we actually served.

Then I built content around those long-tail, high-intent searches. Things like:

  • "how to choose a speaker for a virtual leadership conference"
  • "typical speaker fees for corporate events"

The search volume looked tiny compared to what I'd been targeting before, but the traffic that did come was actually qualified.

Traffic went down overall, but leads and actual conversions went up, which is obviously what actually matters.

What I'd Recommend:

Don't get seduced by big search volume numbers.

Before you invest time optimizing for any keyword, ask yourself: if someone searching this lands on my site, are they actually a potential customer, or are they just... someone who typed some words into Google?

If they're not in your target market, the ranking is worthless. Good SEO isn't about more traffic—it's about the right traffic.

Austin Benton, Marketing Strategist, Gotham Artists

17. Align Topics With Real Questions

Keywords must be backed with intent and alignment. During the first months of EVhype, I managed to publish dozens of EV-related pages. They were great in tools, but they didn't match the search intent.

Thus, they prompted users to abandon the pages. We had lots of visitors, but repeat visits were absent, and bounce rates were above 75%.

Deleting non-performing pages didn't seem like a productive step to many. Consolidating content and optimizing the pages to new, specific, user-generated questions, such as:

  • The costs of charging an EV.
  • The home installation steps.
  • Or the calculations of range anxiety, helped the pages perform better.

In a brief period, we reduced the number of indexed pages by 40% and more than doubled the number of visits attributed to organic search. Moreover, people started staying longer on the new pages.

I would say step aside from the volume trap. It doesn't matter if you rank for 10,000 keywords and none of them are the right ones.

Rob Dillan, Founder, EVhype

Other helpful articles:

Saturday, June 6, 2026

Best GEO Strategies to Rank Your Brand in AI Search Engines

Generative engine optimization (GEO) is the way to get features or rank in AI search engines. It enhances your online reach and visibility.

AI search engines are expanding. Users are also adapting AI search engines more than traditional search engines. ChatGPT has 900 million active users weekly. Google AI Mode and AI overviews are ranking and citing publishers’ content with links.

You must learn how to turn your business into a brand.

Best GEO Strategies to Rank Your Brand in AI Search Engines: eAskme
 

Other people are reading: AI Agents Use Trust to Choose Which Brands to Recommend: What Marketers Should Do? 

GEO Strategies to Rank Your Brand in AI Search Engines: 

Every time an AI search happens, it gives the opportunity to rank for maximum visibility. 

AI search is here, and it is time to understand how to use Generative Engine Optimization (GEO) to rank your brand in AI search.

Without delay, here are the steps you must take to rank your brand in AI search.

Measuring Your Brand’s AI Visibility:

The very first step to measure if your brand is ready for AI search or not. You can do it by measuring AI visibility.

It will help you find out:

  • Does AI search follow your brand or not
  • Which AI platforms mention your brand
  • Which are the most relevant queries
  • How many times are your competitors cited in AI search?

Measuring is necessary to optimize your efforts.

How to Measure AI Visibility of Your Brand?

Marketers and GEO experts are still not using this step.

It is easy to measure your brand visibility:

  1. Note down the top questions your customers ask
  2. Ask Gemini, ChatGPT, and Perplexity the same questions.
  3. Find out where AI search mentions your brand, and where your competitors rank better.

Do it every month to measure the changes in the AI search results. Measuring your brand mentions and citations in AI search is a tedious task.

For this purpose, you can use the best SEO tools like Ahrefs or SEMrush.

Both track AI citations and brand mentions.

For example: go to SEMRush, open the AI-SEO tab and enter the URL or domain to track AI visibility. You can also check the same by adding the domain name in the SEO search.

It displays the AI visibility score, number of mentions and cited pages.

This way, you can easily find out where your brand ranks in AI search and where you need to work more.

SEO for GEO:

SEO is not dead. It is more important to use SEO for GEO.

Generative search still ranks websites ranking better in traditional search engines. Most AI searches pull results from Google search.

It is necessary that your brand rank is better for targeted queries in Google search to influence the AI search ranking.

Pages that rank better in SERP also rank better in AI search results.

Google AI Overviews also cite links to websites that rank better than competitors in organic search.

Do the following:

  • Write quality and creative content with engagement triggers.
  • Build backlinks
  • Fix Technical SEO.

Search engine optimization works as the foundation stone for GEO. But to rank in GEO, you need to do more.

Best GEO Practices:

Make sure that your content follows the best GEO practice to gain a better ranking.

Here are the best GEO practices:

Write for Visibility:

In GEO, visibility is more important than anything else.

The more content and links get cites the better chances you have attract traffic from AI search engines.

Create content such as case studies, statistics, expert-led research, and tutorials.

Content Structure:

Content structure is as important for AI search as it is for Google search.

Use titles, headings, descriptions, FAQs, paragraphs, with creative visuals and infographics.

Also, repurpose your content on multiple channels to increase its value.

Structured Data and Schema Markup:

AI search engines look for structured data and schema markups.

These two things help AI search bots to read your content and understand it. It is necessary to optimize your website and content schema.

Topical Authority:

Topical Authority is always important.

You must be an expert in the niche you are writing about. It is better to research and collect facts before writing content. Proofread content to fix mistakes before publishing it.

Note: To maximize the benefits of AI search visibility, you need to optimize your website, content, and marketing strategies. 

Target UGC:

UGC platforms like Reddit help you rank better in AI search. Google is ranking Reddit content more than in the last 5 years.

This is not a dilemma. User-generated content is becoming the trusted source of information.

AI search engines also rank links from Reddit discussions.

It is a must to rank your brand in Reddit threads.

How to Rank Your Content in UGC Discussions:

  • Target audience: Choose the UGC platform based on your target audience. Not every UGC forum is best for your content and audience. For example, you do not want to share football content in SEO communities. Join subreddits based on your niche and customers.
  • Contribute: Platforms like Reddit focus on user participation. Rather than chasing links, target contribution. Making useful contributions to communities, and it will help you improve your Reddit Karma.
  • Be Genuine: When helping someone in UCG communities, make sure to be genuine. Only give tips when you have experience in something. Read questions before answering and only provide relevant information.
  • UGC in AI Search: Check which threads are ranking in AI search. Join those communities and reply to those threads. Be active and responsive as much as you can.

Listicles:

Listicles are also popular in AI Search. Be ready to optimize your marketing strategy to get featured in listicles.

Get your interview features in top publications. Be part of expert roundups and earn links from listicle articles.

How to target Listicles for GEO:

  • AI Search for Listicles: Run a query on the AI search engine to find out which listicles are ranking. Use ChatGPT, Perplexity, and Gemini for this. Note down the URLs for the next step.
  • Pitch: Pitch your listicle contribution to the publishers. Make sure that your idea adds value to the listicle. It is the only way to get features in top-ranking articles.
  • Get Featured: Engage with the content of the publisher to add value to their websites. It will work as an ego boost and make them notice your contribution and feature them without hiccups.

Be the First:

GEO has just begun. It is the best time to adopt strategies that can help your brand to rank better in AI search results.

Keep tracks of changes in AI search to adapt to the latest strategies. Test everything and keep those that work best for your audience and goals.

Conclusion:

Brand’s presence in AI search is all about being visible.

The more you are active in your niche with expert knowledge and authority, the better chances you have to get featured and cited in AI search results.

While targeting AI search results, do not forget that the real business is your audience.

Always work for your audience, and you will get the best rankings without too much effort.

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7 Image Search Techniques: Guide to Find, Verify, and Optimize Visual Content

Image search techniques has not only made it easy to search for products and services but also made reverse image search possible. With a few words or keywords, you can find the right image for your blog and content.

Google Lens processes 12 billion searches every month. Image search itself accounts for 25% of all Google searches.

If you are a marketer, blogger, designer, researcher, or journalist, then image search should be your most powerful tool.

Image Search Techniques: eAskme

Other people are reading: How to Deal with Evergreen Content

While everyone knows how to search on Google, very few know how to search using images.

Today, I am sharing everything about image search techniques in 2026, such as:

  • What is Image Search?
  • How Do Image Search Engines Actually Work?
  • The Main Types of Image Search Techniques
  • What are the Best Image Search Tools?
  • What are the common Mistakes and the future of Image Search?

Image Search:

Image search requires visual input. It is different than traditional text-based search. You can use image search to search for images, products, information, and sources online.

It is easy to upload a photo, image URL, or use a mobile camera to capture a physical object and search to get related results.

There are two types of image search, which are quite popular:

  • Forward Image search: You type a keyword to retrieve images.
  • Reverse Image Search: You use images to get relevant or related images.

The modern Image search techniques use both approaches to blend visual search with text metadata and deliver the best search results.

Different people use image search for different purposes:

  • Journalists: Image search to fact-check viral photos.
  • eCommerce: Use images to identify stolen product shots
  • Designers: Use image search to find the source of visuals.
  • Researchers: Use image search to track scientific diagrams.
  • Brands: Use to detect logo misuse.

How Do Image Search Engines Actually Work?

Before learning the image search techniques, it is a must to understand how the image search works. It is not a single algorithm.

It is a layered search that covers 3 stages: extraction, indexing, and measurement.

Feature Extraction:

It is the first step when you upload an image.

Search engines convert the image into a numerical representation known as a vector or embeds to analyze properties such as spatial patterns, textures, shapes, edges, and colors.

  • Traditional methods: Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) detect and describe image features. These features stay the same regardless of the size of the image. This type of search struggles with complex image searches.
  • Modern deep learning methods: Convolutional Neural Networks (CNNs) such as VGG and ResNet were trained on billions of images. When you upload a new image, it produces 2048 dimensions for ResNet. It understands information like color, shape, relationship, contextual patterns, and what object presents.

Indexing:

It is the second stage.

After extracting the image features, it is necessary to organize the retrieval across billions of images.

  • Locality-Sensitive Hashing (LSH): It maps similar features into the same hash bucket. It saves time as your image does not need to be compared with billions of images, but only with the images in that bucket. The system only extracts information from the same set of vectors.
  • Tree-based structures: Facebook AI Similarity Search (FAISS) and Approximate Nearest Neighbors Oh Yeah (Annoy) are users for large-scale systems. FAISS supports vector quantization and GPU acceleration. It compresses HD vectors to complete a scaled search in seconds.

Similarity Measurement:

It is the final stage. It compares your query feature with indexed image candidates to rank according to relevance.

It uses metrics like:

  • Euclidean distance: Straight line distance between two vectors in features.
  • Cosine similarity: Measures the angle between two vectors. It works best for semantic embedding.
  • Hamming distance: It is used for binary hash representations. It counts the number of bit positions where hashes differ.

Image Search Techniques:

Now that you know how image search works, it is time to understand what the best image search techniques are.

1. Keyword-Based Image Search:

It is one of the most common types of image search. You type the word or query in the search engine, and it displays images ranked by relevance.

The search engine will use your text to match with the metadata of indexed images. It uses file name, alt text, body text, captions, structured data, and page headings.

This method works best for content discovery and inspiration. The only weakness of this method is that the success of its search depends upon how well the images are labeled and described.

It means that a stunning image with no alt text and no context will not appear, even if your query is related to that image.

Tips:

  • Use layered descriptors rather than using single-word queries.
  • Include features like color, style, orientation, and resolution.
  • Use filtering tools for size, usage rights, and date.

2. Reverse Image Search:

Reverse Image Search is a popular way to identify the misuse of images or logos. In this search, you add an image to the search rather than text.

The search engine analyzes your image and compares it with already indexed images to display the search result. It displays all the pages where that image appears.

Professional Use Cases:

  • Verify the source of the image
  • Detect unauthorized use of your own images
  • Identify if the image has been manipulated
  • Find an HD version of low-quality images
  • Locate products seen on social media without their names.

Note: Fact-checkers and journalists rely on reverse image search. 68% of journalists use it to identify the source of images.

3. Visual Similarity Search:

Visual Similarity Search is different than Reverse Image Search.

Reverse image searches look only for exact or near-match images. Still, visual similarity searches find images that have similar structural characteristics or aesthetics, such as style qualities, design patterns, layouts, and color palettes.

Pinterest Lens is the best example of Visual Similarity Search. You upload a photo of a blue velvet sofa, and the platform searches for related furniture even if there is no sofa in the search results.

It is beneficial for businesses like eCommerce, fashion, and interior design. You do not need to know the product name, designer or category to search the platform.

Visual similarity search relies on Convolutional Neural Networks (CNNs). These capture compositional and aesthetic information.

4. Object Recognition and Selective Search:

Rather than searching the whole image, it allows you to select a portion of the image and perform a search based on your selection.

Bing Visual Search Crop Feature allows you to crop an image and then perform a search. You can select watch on lifestyle photos, and it will display the images related to that watch.

Google Lens also performs a similar function.

It is the best technique when you must search for a part of the image rather than the whole image. For example, you can search for the logo on the brand magazine cover image.

Note: the technology behind object recognition and selective search uses extraction and similarity features for a cropped region of the image rather than the complete image.

5. Pattern and Color-Based Search:

Some image search engines and design platforms offer advanced filters like color palette or visual patterns.

Brand managers and designers can use pattern or color-based searches to find images within the hue ranges.

Dedicated design tools use techniques to extract color histograms and palette information during feature extraction.

They later use this information with feature vectors.

6. Facial and Object Recognition Search:

Facial recognition search identifies faces or individuals across image databases. They compare facial geometry extracted from uploaded photos.

Object recognition extends facial recognition search to logos, animals, vehicles, and other items.

  • Media organizations are using these techniques for photo archives.
  • Law enforcement also uses these for identity verification.
  • Social media platforms use it for content moderation.

Yandex Images, LensGO AI, and EyeMatch are the best examples of facial and object recognition search engines.

Note: Always approach facial recognition search with a sense of privacy and ethical consideration.

7. Metadata and EXIF-Based Search:

Image contains structured information. Cameras and editing software often leave information like EXIF data, camera model, GPS coordinates, lens information, and timestamp. 

Tags, file names, captions, and all text also contribute to how search engines categorize and retrieve image search results.

EXIF data is less relevant in search results. But Metadata is still a critical part of image search results.
For example, A file name green-artistic-coffee-mug.jpg is more discoverable than 123.jpg.

The Best Image Search Tools in 2026

Tool Best For Reverse Search Standout Feature
Google Images and Lens General discovery, SEO Yes Massive index, entity recognition, Lens integration
LensGo AI Facial recognition, copyright monitoring Yes Category filters such as; People, Duplicates, Places, Similar; alert system
TinEye Image provenance, copyright protection Yes Fingerprint finds altered or resized copies
Bing Visual Search Product research, object isolation Yes Crop-to-search within an image
Yandex Images Faces, landmarks, Eastern European content Yes Strong facial and object recognition
Pinterest Lens Fashion, lifestyle, interior design Yes (visual) Visual discovery
Openverse Openly licensed images No Creative Commons filters
Baidu Images China market research Yes Localized indexing of Chinese-language

Note: No single image search tool is perfect. You may need to use more than one platform for research and verification. Google Images and TinEye offer maximum coverage for reverse image search. Bing's crop feature and Pinterest's visual similarity results are best for product research.

Image Search Techniques for SEO:

Even in 2026, images are underused organic traffic channels.

You must understand that optimized images can rank better in Google Images. It can also appear in Discover and visual carousels. This strategy increases topical authority.

Here is how SEOs can Optimize Images for Search:

Technical Optimization:

  • Use descriptive and relevant file names.
  • Do not use serial numbers and underscores.
  • Serve images in AVIF or WebP formats.
  • Use lazy loading to improve load time and CWV score.
  • Make images crawlable.
  • Use canonical tags.

On-Page Optimization:

  • Alt text is a must for images. Make it descriptive.
  • Place images near related body text.
  • Us captions
  • Use ImageObject schema markup to add structured data.

Image Sitemaps:

eCommerce, news websites, and portfolio platforms should submit image sitemaps. This ensures that your CMS, lazy loaders, and JavaScript are discoverable and indexed.

Image sitemaps ensure that images get an indexing opportunity.

Measure Image Search Performance:

For the success of your image SEO best practices, it is a must to measure image search performance. Use the Image Search Filter in Google Search Console to track clicks, impressions, and CTR.

Deep impressions, but low CTR means image quality is poor, or the image is misaligned with the content.
Low impressions indicate relevancy or indexing issues.

Reverse Image Search for Brand Protection and Verification

The maximum use of reverse image search is to identify misuse of intellectual property and detect misinformation.

Photographers and creative professionals:

Use LensGO AI and TinEye to run regular reverse image searches. Whenever your image appears on a new platform, these platforms send you a notification.

Brand Managers:

Monitor unauthorized use of logo and brand assets.

You can use reverse image search to identify counterfeit products, impersonating them in ads, and unauthorized use of brand images.

Journalists and researchers:

Do not blindly publish images sourced from the internet.

Use third-party image search tools to perform reverse image search. Identify when the image first appeared on the internet.

eCommerce:

Monitor if a competitor uses your images.

Unique and original images are required to rank in search results.

Image Search Results Common Mistakes:

Low-quality images:

Low-quality and heavily cropped images are bad for image search.

They do not carry enough visual information to perform research.

Single Image Search Engine:

Relying on only one image search engine is also a mistake. You must use two or more search engines to find out everything related to the images.

Do not Ignore Image SEO:

Ignoring Image SEO reduces your chances to rank in image search. Do not waste the value on your digital assets.

Stock Images:

Relying on stock images often creates issues. Stock image platforms sell the same image to thousands of websites. It becomes hard to identify who owns the image.

Future of Image Search Techniques:

Multimodal AI has changed the trajectory of image searches. It uses text, images and even voice in a single query to search for images.

Google Lens already offers real-time camera-based search. It will mature into a more physical environment. Augmented reality devices will make users identify products, landmarks, artworks, and plants by just looking at them.

AI-generated image detection is also becoming important for image verification. Synthetic images are becoming indistinguishable from naked eye.

Conclusion:

Image search techniques have evolved from text-based search to multi-layered image search. Real-time visual recognition, semantic embeddings, extraction algorithms, and approximate indexing make image search effective.

You can use image search techniques to verify a photograph's authenticity, unauthorized use of brand assets, and find a product you saw online. SEOs can also optimize images for Google Image search for better ranking.

There is one thing common across all image search techniques, and that is the alignment between an image's visual content, metadata, context, and intent.

FAQs:

What is the difference between reverse image search and visual similarity search?

Reverse image search works as an investigation to find the misuse of digital images. Visual similarity search finds images based on structural qualities.

Which image search tool is most accurate for finding stolen or duplicated images?

TinEye is the most accurate tool to find stolen and duplicate images.

Does image search work for identifying AI-generated images?

It is not yet reliable to identify AI-generated images.

Can image search be used for SEO, and does it drive traffic?

Yes. SEOs can index their images in Image search results and boost their organic traffic.

What is alt text, and how important is it for image search?

Alt text is an HTML attribute that describes the content of an image.

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Friday, June 5, 2026

What Search Engines Trust in 2026: Authority, Freshness, First-party Signals, and Content Usability

Search engine trust signals play an important role in ranking a website in SERP. There was a time when Google’s algorithms felt straightforward. You earn backlinks, publish rich, quality content, and wait for the ranking to climb. But AI has changed those rules.

In the AI search era, search engines like Google have also adapted AI technologies and algorithms to keep the search valuable for the users. Its AI-powered search ranking system continuously evaluates your website.

You cannot wait for the quarterly update to see ranking changes. Every day, rank positions are changing due to the dynamic nature of AI algorithms.

What Search Engines Trust in  2026: Authority, Freshness, First-party Signals, and Content Usability: eAskme

Other people are reading: Combining Human Insight with AI for SEO Success

For every SEO, marketer, and content creator, it is a must to know what search engines trust in 2026. 

What are the signals that matter? What are the mistakes that destroy credibility? And what are the practice steps you should take to build authority in AI-powered search?

How Search Engine Trust Works in 2026?

Before AI, SEO worked on a simple model where you publish content, build links, and wait for rankings. With every Google update, you see predictable changes.

AI has replaced that model with a completely different model.

Search engines in 2026 run on multiple layers of AI. Their AI system does not wait for quarterly updates. They test, interpret, and refine the search results 24/7.

Adjusting signals, factors, and outputs is the new SEO.

Trust is no longer a fixed asset. It is dynamic. Every day, search engine trust changes as they replace the ranking of websites for the same keywords.

It is possible that the keyword you are ranking at the number one position today, the next day you will not find your website in the top 300 results for the same keyword.

This search engine shift has 3 major consequences:

  • Short signal half-life: What worked years ago may still matter, but is being reevaluated every day.
  • Two competitive layers: You compete to be extracted by AI systems.
  • Entity-level evaluation: Google considers you as an author or brand, not what your content says.

Note: these shifts have changed the foundation of how you earn ranking and build trust in search engine results.

What Does "Trust" Mean to Search Engines?

In Traditional SEO, Trust worked as a score. It was calculated based on content quality, backlinks, domain age, and technical health. Sites built trust slowly, and it was stable.

Trust work as a filter with multiple checkpoints:

  • Entity recognition: Can I identify who you are?
  • Freshness: Is your content still relevant and accurate?
  • First-party signals: Do you offer something original?
  • Usability and structure: Can I extract an answer from your content?

Your content must pass these checkpoints. It is not enough to clear only one or two.

A site with strong authority and poor content, and a site with original content but poor structure, gets ignored by search engines.

The 4 Pillars of Search Engine Trust in 2026

Authority:

Authority always matters in SEO. But it has changed with new technologies. Earlier, it was calculated based on the quality of backlinks. More links meant more trust.

Now, authority works as an entry point. Search engines use authority to decide which sources they should consider when displaying results and AI-generated answers.

If your website lacks authority, then your content will be invisible.

What builds authority in 2026?

Entity recognition is where you should focus.

Search engines like Google use knowledge graphs. These are structured databases of real-world entities like organizations, people, and brands.

The more clarity they have about you in their system, the better your content rank in search results.

Signals that establish entity-level authority:

  • Brand mentions still work as the quality factor. But only if your brand is mentioned on top-quality blogs, websites, and publications.
  • Consistent author identity: Regular authors with verifiable expertise who write on the defined subject.
  • Topical focus and depth: The subject knowledge and depth of writing help search engines associate your brand with it.
  • Structured data and knowledge panels: Use of structured markups and mentions on Google business profiles, Wikipedia, and Wikidata helps in boosting trust.
  • Public relations and digital PR: Guest articles, media coverage, industry awards, and podcast appearances also contribute to entry visibility.

Note: Authority determines eligibility, not visibility. Even the top authoritative websites will not rank or be cited without stable, original, or quality content.

Freshness:

Freshness is the ongoing effort. Earlier, it meant the content frequency. New pages helped in ranking boost for time-sensitive queries.

This rule changed in 2026.

Recency matters for news publishers and time-sensitive topics. A breaking news article published today can outrank the article published yesterday.

For other business-like blogs, Saas companies, eCommerce sites, and educational sites, freshness means demonstrating ongoing relevance.

An AI-powered search system is evaluating if your content is maintained or accurate.

Outdated information increases the risk. It is a must that your content relates to the current state of the topic.

What keeps content fresh for non-news publishers?

  • Update key statistics and data points
  • Add revision timestamps
  • Revisit your top-performing pages
  • Reinforce topic coverage
  • Remove or redirect outdated pages

Freshness is not about rewriting everything. It is about keeping the content fresh and boosting trust signals.

Freshness also matters at the site level. If a large portion of your website is filled with outdated content, then it will drag down the trust signal.

First-Party Signals:

This is where many websites fail to work in the right direction. It separates quality content from commodity content.

AI-driven search technologies synthesize information from sources. You need to create better and original source material to rank better in search results.

Search engines also favor content with verifiable and original information.

First-party signals include:

  • Original research and proprietary data, such as benchmark reports, surveys, internal analysis, and studies
  • Direct product or service information, such as pricing, specs, and process explanation
  • Firsthand experience, such as product test reports, travel visits, and expert interviews
  • Unique expert analysis, such as insights, opinions, and interpretations

These are the reasons why scale content strategies fail. Publishing AI generates a large volume of content, or reshaping content only creates noise without adding any value.

Search engines are only looking for better content.

Always ask yourself, what does your content deliver that no one else can?

Content Usability:

There are websites that are ranking well and getting organic traffic, but are completely invisible on AI search.

They optimize content, keywords, and links, yet nothing changes.

The biggest problem is extractability.

An AI system reads pages in a completely different way than humans.

They only retrieve what is easy to extract. Make sure that your content does not require too much interpretation, AI search engines will skip it.

Characteristics of content that gets extracted and cited:

  • Clear, descriptive headings
  • One primary idea per paragraph
  • Direct, declarative statements
  • Early placement of key answers
  • Lists and tables where appropriate
  • Defined terms and concise definitions

Structure is not a cosmetic to your website. In the AI search world, it works as a mechanism to make your content usable.

What Search Engines No Longer Trust

It is just as important to understand what search engines no longer trust.

Here are the signals and practices:

  • Thin Content: Thin and derivative content only contains summaries of other pages without deep insight. Search engines ignore such content.
  • Orphaned content: old and outdated pages with no internal links and no current information fall in this category. They work as trust decay at the site level.
  • Anonymous content: ages without author, no about us, or named experts, does not qualify for AI systems.
  • Excessive ads: Pages with a lot of interruptions, popups, redirects, and ads also damage the user experience. It is also bad for trust.
  • Inconsistent topical focus: A site that lacks topical focus also faces gravity issues. Depth and focus build trust.
  • Unverified claims: Statistics without sources, options without experts, and claims without evidence reduce trustworthiness.

How to Build Search Engine Trust:

Step 1: Establish Your Entity

  • Create and verify a Google Business Profile
  • Build or claim your Wikipedia page or Wikidata entry
  • Implement Organization and Person Schema markup
  • Develop a clear About page
  • List your brand consistently across major directories, social platforms, and industry sites

Step 2: Build External Authority

  • Pursue digital PR, pitch data-driven stories to industry publications and journalists
  • Write bylined articles
  • Contribute to podcasts, webinars, and conferences
  • Earn editorial mentions

Step 3: Conduct a Content Audit

  • Identify your highest-traffic, highest-value pages and review them
  • Flag content that has outdated statistics, broken links, or obsolete recommendations
  • Consolidate or redirect thin, overlapping pages
  • Add author bylines, credentials, and update timestamps

Step 4: Produce Original Research

  • Run a customer survey and publish it
  • Compile internal data that shows trends relevant to your industry
  • Test or review products and publish detailed findings
  • Interview industry experts and publish original Q&As

Step 5: Optimize for Extractability

  • Rewrite long, dense paragraphs into shorter, focused statements
  • Add clear H2 and H3 headings
  • Use FAQ sections to answer common questions
  • Add summary boxes or key takeaways
  • Use tables, bullet lists, and numbered steps

Conclusion:

Search engine trust is not a one-time thing or an algorithm update. Search engines regularly calculate the trust to rank a website and its pages.

Old one-time trust-building strategies no longer work.

Now the focus is on:

  • Authority determines whether your website is considered or not.
  • Freshness determines whether you remain relevant or not.
  • First-party signals determine whether you are credible.
  • Structure determines whether you are usable.

All four are required to build trust. Even if you miss one of them, you will lose search engine ranking.

FAQs:

What do search engines use to determine trust?

Search engines continuously evaluate the authority, freshness, first-party signals, and usability of the website.

How often should I update my content to maintain freshness?

There is no fixed time or number. Focus on high-value pages first. Review them annually. Structured data, topical health, brand mentions, and entity recognition are important.

Can I rank well without backlinks in 2026?

Backlinks still matter. But they work only when you are building entity recognition, brand mentions, topical depth, and structured data.

What is "entity gravity" in SEO?

Entity gravity is the weight of brand recognition on the internet. You get mentions of authoritative sites, secure data entries, tropical focus, and consistent authorship.

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Thursday, May 28, 2026

Content Scoring: Why it is Important for Content Marketing Success?

Do you know what content marketing is? Maybe you do. But, do you know what content scoring is? Do you know how content scoring help to get success in content marketing? No, well don’t worry these are the questions that I am going to answer today.

The whole world is talking about blogging, internet marketing, content marketing, affiliate marketing or many other names of marketing.

To get maximum out of your marketing, you create content such as blog posts, videos, infographics, etc.

You may have seen many marketers and SEO’s complaining that their content is not ranking or conversion is zero.

What is the reason behind this?

Have you ever checked that your content is capable of ranking for the keywords or have the potential to bring visitors or boost conversion?

No!

This is the time where content scoring comes into play.

What Is Content Scoring?

Content Scoring : Why it is Important for Content Marketing Success: eAskme


Other people are reading: Content Marketing Tools to Skyrocket your Business


Content Scoring is a way or process to find out the potential of your content.

How you can do it or how you can score your content by assessing and quantifying its potential.
The answer is simple.

You can do it but tracking how content is performing for your business to generate leads or boost conversion.

Let’s dig more about content scoring.

What Content Scoring do for you:

What Content Scoring do? Content Scoring : Why it is Important for Content Marketing Success: eAskme

Know your customers:

Content scoring helps you understand buyer personas. The most successful content on your blog or website tells that what type of content can influence buyers. Once you know buyer personas, you can effectively control them with your marketing strategies.

Analyze actions:

When you understand the buyer personas, the next thing is to track the buyer’s activity. It is your job to find out what pages or posts or products your buyers find more useful. Which type of products or services attracts more buyers or buyers try to engage with which type of content.

This will help you plan a strategy that will make the buyers engage more with your content and buy more products from your business.

Such a strategy will help you to boost traffic and ROI.

Reposition the content:

Content scoring also helps you to reposition the content. You should keep the content on top position which has a high conversion rate. Keep the average converting content ad mid-level and rest at a low level.

What are the Benefits of Content Scoring:

Benefits of Content Scoring: What Content Scoring do? Content Scoring : Why it is Important for Content Marketing Success: eAskme

There are multiple benefits of content scoring.

Let’s discover them.

Content Scoring boosts the quality of your content:

When you score your content, you will spend time on adding value to already published content rather than creating post after post.

You will find ways to add more value to the content with good scoring or conversion. You can do it by adding infographics, videos, gifs, polls, etc.

Content Scoring improves your strategy:

Scoring content won’t give you results overnight. But, it helps you improve the quality of all the posts so that they can rank better and after some time improve the overall quality of your site or business.

The more help and engagement options you add in your content the more time visitor will spend on your blog.

Scoring content helps you measure user behavior:

Scoring content enables you to find out how visitors are engaging with your content and what type of content they not just promote but also want more on your site.

These help you to understand the performance of your content and reposition accordingly.

Leave an impression:

Scoring content will help you to create content that leaves an impression. When you keep the high ranking content on top position, it helps to attract more readers as well as improve the overall reputation of your site.

People find out that you are a professional and have authority in your niche.

This makes you an influencer, and you can easily influence the people.

How to Score Content?

How to Score Content? Content Scoring : Why it is Important for Content Marketing Success: eAskme

How to score content or how to improve content scoring rate can be your next question. It is a natural process. All you need is to follow some simple steps.

Let’s see how you can score content effectively:

Lead Scoring:

Lead scoring is one of the easiest ways to find how useful or influential your content is? As the word says for itself the content that generates more leads get more score than the content with fewer leads.

Platform:

You may find it confusing to create a scoring model for your content. Let me help you here.

Create an excel sheet and write down weight, niche or field or product, attributes, keywords or queries, priority, and score.

When you create a list according to this, you will find out how your content is working.

Evaluation:

Evaluation is the essential part of content scoring. Scoring content cannot be fruitful if you do not evaluate the results or data.

Keep track of your content on a daily basis and find out on which queries or keywords it is ranking. Focus on which content piece helps you generate more revenue.

Once you follow these steps, you can easily create content or content marketing strategy to boost organic traffic, leads, and conversion.

Now you know everything about content scoring such as;
  • What is content scoring?
  • What are the benefits of content scoring?
  • How does content scoring work?
  • How to score your content?
Now it is the time to find out how content scoring plays a vital role in content marketing success.

How Content Scoring Plays a Vital Role in Content Marketing Success?

 How Content Scoring Plays a Vital Role in Content Marketing Success?: eAskme

The whole world is falling for content marketing, but only a few can understand how to get maximum out of content marketing efforts.

Content scoring is there to help you in every possible way.

Scoring content provides actionable insight:

Content scoring provides you with all the details that help you find out where you should work on your content. It also enables you to figure out what type of content is some value or what kind of content needs some push.

You can quickly analyze the performance and decide accordingly.

Scoring Content Demands High-Quality Content:

Content Scoring makes you work on creating high quality, engageable and worthy link content. It pushes you to create content that not only satisfies your visitors but also attracts high-quality backlinks.

Gain Authority:

When you focus on content authority and work accordingly, you will create excellent pieces of content. This way you will tell the world how authoritative your content is and why people love your content.

This will attract more buyers and clients to your blog or business.

Conclusion:

Content scoring is a natural process that improves the overall quality of your content, boost engagement, increase traffic, and generate more leads. It is easy to create the content scoring sheet and score your content.

Work on improving the content quality, and you will have everything to run content marketing campaigns effectively.

If you still have any question, feel free to ask me via comments.

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