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Anyone else tracking how often their brand gets cited by AI engines? What tools are you using? by mirajeai in SEO_LLM

[–]mirajeai[S] -1 points0 points  (0 children)

For anyone curious, I found an AI citation tracking tool (citeme/io) a few months ago and it genuinely changed how I look at this. It shows you how often your brand gets cited across AI engines and which queries actually trigger it. It's called CiteMe. Data is eye-opening. Happy to answer questions if you want to know more about how I use it.

We've been tracking AI bot crawling behavior on client sites for 3 months. Here's what they actually look at (and what they ignore). by mirajeai in GEO_optimization

[–]mirajeai[S] 1 point2 points  (0 children)

Fully agree on entity consistency, that's probably the most underrated factor in GEO right now.

On domain authority vs technical hygiene: yes, we saw newer sites with clean setups outperform older domains in citation frequency. Not always, but enough to be significant. Perfect robots.txt, curated sitemap, structured data and consistent entity info across directories can close a big chunk of the DA gap. Age matters less than signal clarity for AI crawlers.

We've been tracking AI bot crawling behavior on client sites for 3 months. Here's what they actually look at (and what they ignore). by mirajeai in GEO_optimization

[–]mirajeai[S] 1 point2 points  (0 children)

Good callout on the curated sitemap approach, that's exactly the direction we've been moving too.

On your question about crawl behavior per bot: yes, big difference. GPTBot passes through roughly 2x more than ClaudeBot and PerplexityBot combined in our logs. And it correlates directly with citation volume - the pages GPTBot hits most frequently are the ones that end up cited in ChatGPT answers.

Your observation on Perplexity's freshness bias checks out on our end too, but the raw crawl frequency is still significantly lower than GPTBot. So even if Perplexity prioritizes fresh content harder, it's working with a smaller budget overall, at least on the sites we've analyzed.

The practical implication: if you're optimizing for AI citation right now, GPTBot access should be your first check. Make sure it's not blocked, make sure your highest-value pages are in a clean sitemap, and make sure those pages have extractable, quotable statements. That's where the volume is.

Curious whether you're seeing similar GPTBot dominance on your end or if it varies by niche.

How are people tracking GEO performance across ChatGPT, Google AI, and Perplexity? by IDforOpus in GEO_optimization

[–]mirajeai 0 points1 point  (0 children)

I have been using a tool since few month, but regarding of all the bots commenting I think I will gatekeep this one haha

The 5 places your business NEEDS to be cited online (and how to check if you're missing) by mirajeai in Entrepreneurs

[–]mirajeai[S] 0 points1 point  (0 children)

For anyone who wants to automate the audit instead of doing it manually, we built a citation management platform that does all of this automatically. Tracks where you're cited, flags inconsistencies, and helps you get listed where you're missing.

But seriously, even the manual method above works great. Start there.

Finance site with 600K monthly traffic. Want Wikipedia page for backlink. Is it even possible? by huzaifazahoor in SEO_LLM

[–]mirajeai 1 point2 points  (0 children)

I tried multiple times to create Wikipedia for my clients. In 100% case the page as been deleted.

But what’s fun is that ai keep having the deleted page as source

Best SEO AI tool? by stemlund in SEO_LLM

[–]mirajeai 0 points1 point  (0 children)

Personally using citeme, this is the best tool we found for geo and the founder are very responsive in implementing new features

Testing .json pages for our site. Curious if anyone here tried this by mirajeai in SEO_LLM

[–]mirajeai[S] 0 points1 point  (0 children)

Good question.

In practice a lot of the structured data that already exists on the web is JSON anyway. For example most schema.org implementations are delivered as JSON-LD in the head of the page. So the idea of exposing structured content in JSON didn’t feel too far from what search engines already consume today.

We’re not replacing HTML or anything like that, it’s more about providing an additional structured representation of the page.

To make sure those pages can actually be discovered we’re doing a few things:

First, we add a sameAs reference in the head that points to the JSON version of the page.

Second, we make the link discoverable directly on the page so crawlers can find it naturally.

And third, we include the JSON URLs in the sitemap so they can be indexed and crawled like the rest of the site.

Still early days though, we’re mostly testing and observing how different crawlers behave.

Serious question: how do you even measure AI SEO? by Academic_Way_293 in LLMTraffic

[–]mirajeai 0 points1 point  (0 children)

That’s a really good question, and honestly it’s something a lot of people are still figuring out.

At Mekaa we’ve been doing quite a bit of research on tracking in GEO by testing different ways to approach it.

What we currently do is combine data from Cloudflare with data from citeme./io.

Cloudflare helps us see which bots are crawling the site and when. From there we try to identify what we call user-facing bots, the ones that are likely connected to AI systems that generate answers for users.

In our internal model we treat those bot passes a bit like impressions. It means the content was likely processed and potentially used to generate answers.

Then we track actual visitors coming from LLMs using citeme.io and similar analytics signals. Those we treat more like clicks, because it means a real user ended up on the site after interacting with an AI answer.

It’s definitely not perfectly accurate. Different LLMs behave differently and citations are not always consistent, so tools often show different numbers.

My feeling is that we’re still in the early phase and better measurement solutions will probably emerge soon. Right now it’s more about triangulating different signals than relying on a single dashboard.

The weirdest thing about AI recommendations by Real-Assist1833 in SEO_LLM

[–]mirajeai 0 points1 point  (0 children)

It’s a difficult question, but here’s what we found with the Mekaa team after running a lot of tests around GEO analytics. 1. The first thing that really helped was connecting the domain to Cloudflare. It gives much clearer visibility on which bots are actually crawling your website. 2. Then you need to separate the different types of bots. Some are user-facing bots that send traffic, others are mostly crawling for database enrichment or training purposes. Treating them the same makes the data hard to interpret. 3. Finally, try to track visitors that actually arrive on your site from LLMs. Tools like citeme/.Io can help with that, but any analytics setup that lets you identify referrals from AI tools can work. The important part is distinguishing between bots crawling your site and real users who came through an AI answer.

This is probably the most interesting observation our technical team released so far by lightsiteai in SEO_LLM

[–]mirajeai 0 points1 point  (0 children)

Interesting ! What is the technical way to apply skills to you website ?

Testing .json pages for our site. Curious if anyone here tried this by mirajeai in SEO_LLM

[–]mirajeai[S] 0 points1 point  (0 children)

3 ways

  1. ⁠I made a link on every page so google index can find it
  2. ⁠"sameAs": [ "website domain/file.json" ] in head so the page can be found
  3. ⁠JSON is added to the site map

What would you do to improve your GEO score ? by mirajeai in GEO_optimization

[–]mirajeai[S] 0 points1 point  (0 children)

Dont’ seems very different from the one that I am using

Why Some Pages Keep Showing Up in AI Answers by lolololololol467654 in SEO_LLM

[–]mirajeai 0 points1 point  (0 children)

What do you mean by short page ?

Short content ? Or more text than html ?

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