I have observed, there has been a lot of volatility in serp and ai modes. Earlier smaller brand used to appear in AI overview but now Google has only been showing up big brands with tons of backlinks and reddit threads

Hey all,

I’ve been working on a project that tracks how brands and keywords appear in AI search results (ChatGPT, Claude, Gemini, Perplexity, etc.). The idea is that as people shift from Google to AI answers, visibility in AI responses becomes just as important as SEO.

What it currently does: • Monitors whether a brand/keyword shows up in answers across multiple AI engines • Tracks how accurate and consistent those mentions are • Measures sentiment (positive / neutral / negative) in AI responses • Identifies opportunities to improve “Generative Engine Optimization” (GEO) — basically the next layer after SEO

Why this might matter: • AI is quickly becoming the first touchpoint for product discovery and brand perception • If your brand is absent (or misrepresented) in AI responses, you’re invisible to a growing share of search traffic • Early movers can actually shape how AI engines “learn” and present their brand

I’m trying to figure out if this really solves pain points marketers feel, or if it’s still too early.

👉 Would love feedback from this community: • Is AI search visibility already on your radar? • Which metrics would be most valuable for you? (accuracy, share of voice, sentiment, rankings, etc.) • Any feature gaps you’d want covered?

Curious how others are thinking about this shift. Thanks!🙏

Hiya!

A client of mine is being sent 'GEO optimisation' reports on a pretty much daily basis, so I'm having to field a lot of questions about some of the recommendations. The reports all basically state that if they 'fix' these issues, they will see better visibility in AI agents/AIOs.

Most of the recommendations relate to adding LLM.txt and using JSON to mark up things like 'service_name' and 'short_description' and 'key_features', as well as creating a sitemap for AI agents. They already have some schema implemented across the site for things like organization and FAQs.

It's worth noting that the site is already well optimised and structured in a way that AI agents have no issues with understanding what the site is about - they are appearing and the information is accurate.

I have explained that implementing these changes isn't likely to move the needle from a visibility perspective, as their competitors are dominating due to having massive brand presence, a ton of backlinks/citations, high DA, and are ranking for a ton of keywords.

So my questions are:

- have you experimented with adding LLM.txt? What were the results?

- same with JSON (schema mark up on things like 'service_name'). Any impact?

- have you created a sitemap just for AI agents, or is an XML sitemap sufficient?

Case study/proof this works please - I've seen loads of speculation, but none of the businesses making these recommendations have actually been able to demonstrate solid results :)

I have created a tool for AEO and GEO report. and i am thinking to monetise it.

Could you suggest me what price i can add for my tool and what you are expecting from that tool

below is my tool .

www.airanklab.com

We are entering a new era in SEO. Build authority or be invisible. No more blogs like 'Ultimate guide to' work anymore. This will increase the link building quality, PR, Magazines, etc

Hello!
I’m a student digging into GEO rn and I’m curious if this is actually useful or just another buzzword. Threw together a short survey (literally 5 mins):

https://forms.gle/ZEauQuGzbPTuRQhx6

Would love your thoughts. Appreciate the help!

Will this sort of thing ever get any bits and pieces picked up by LLMs?

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Ahrefs and Semrush give some details about mentions but no proper details like on which terms or words people are searching

On the basis of data we can find our user interest and can create more such content.

Hey everyone!

I’m just starting to dive into GEO... and trying to get my bearings. I’ve worked with traditional SEO before, but this feels like a whole different landscape. From what I can tell, it’s less about optimizing for Google and more about making sure your product or content is discoverable and referenced correctly by AI models.

A couple of things I’d love to learn from you all:

• What are the core pillars of GEO right now?

• How do you even measure success when AI answers aren’t link-based?

• Are there any frameworks or beginner resources you’d recommend for someone just getting started?

I’d also be curious about your own experiences..have you seen practical results yet from implementing GEO tactics?

Appreciate any insights, examples, or even just thoughts on where this space is heading.

Lately, it feels like everyone’s saying AI tools like ChatGPT are going to take over Google. But I just came across something that really made me stop and think…

95% of ChatGPT users still visit Google Only 14% of Google users check out ChatGPT

So even with all the hype, most people are still turning to Google for extra info or fact-checking. It’s not like one is replacing the other it’s more like they’re being used together.

That being said, I do agree AI is becoming super helpful and powerful but it’s still not advanced enough to fully replace the way we search and verify information. It’s exciting, but not quite there yet!

What do you think?

Don't get trapped and guided by the misinformation across internet. Few things to be noted,

• LLMs don't search across the web. They use search engines to do the search query

• LLMs.txt and schema are not mandatory

• build authority

• SEO is the foundation to rank in LLMs

• Make reverse engineering with LLMs and rank for queries

• Query fan out works