u/addllyAI

A GEO audit focuses on how visible and understandable a website is for AI search engines and generative search systems.

Unlike traditional SEO audits that mainly focus on rankings and keywords, GEO audits look at things like entity recognition, topical authority, structured information, brand mentions, citation signals, and whether content can be easily retrieved and understood by AI systems.

The goal is to improve how often a brand, website, or piece of content gets surfaced inside AI-generated answers across platforms like ChatGPT, Google AI Overviews, Perplexity, and similar tools.

As AI search keeps growing, GEO audits will probably become a normal part of digital marketing alongside traditional SEO.

I keep seeing questions this!!!

But personally, I don’t think good SEO hurts AEO/GEO at all. In fact, good SEO naturally becomes good AEO/GEO.

Lately I’ve been seeing certain pages get picked up in ChatGPT and Perplexity responses even though they barely show up in Google search results. Makes me wonder if AI tools are evaluating content on a completely different set of signals.

Feels like direct, answer-focused pages might be getting more visibility now. Or maybe things like structure, entity clarity, and proper citations are starting to matter more than backlinks and rankings. Curious if anyone else has noticed the same pattern.

This might sound controversial, but I genuinely think topical relevance is starting to matter more than pure domain authority in AI search.

I keep seeing smaller niche websites get mentioned in AI generated answers over massive high DR publications. Especially when the smaller site is deeply focused on one subject.

For example, a site that talks only about AI search visibility every single day often seems to get picked up more than a huge marketing blog covering 50 different topics at once.

And honestly, it kind of makes sense.

If a website consistently publishes useful content around one topic, AI systems probably start recognizing it as a reliable source in that area, even if the site does not have insane backlink metrics.

Feels like being known for one thing is becoming more valuable than trying to cover everything.

Which also creates a problem for broad content sites.

Maybe in AI search, you cannot dominate every category anymore. You have to become the go to source for something specific.

Curious if others here are seeing the same shift or if traditional authority metrics still matter more in your niche.

I’m trying to get mentions from top AI visibility tools / AI search visibility tools listicles.

An interesting thing is, many lower DA blogs are actually ranking really well for these keywords. But most of them are also direct competitors.

A lot of them are asking for link exchanges:
“We’ll add your tool/company in our listicle if you mention us on your site too.”

What would you do in this situation?

• Is this considered safe in SEO today?
• Does competitor-to-competitor linking actually help?
• Or can this become risky/spammy long term?
• Would you still do it if those pages are ranking and getting traffic?

Would love to hear real experiences!

wondering if the focus should shift entirely to making Q&A content citation-ready for LLMs instead. Been thinking about structuring answers more like mini-scenarios with concrete examples rather than traditional FAQs. Anyone already experimenting with this? What's working?

To translate AI into real business value, it's crucial that entrepreneurs in developing countries get the support they need in terms of skills, finance and enabling ecosystems.

People keep talking about AI like it’s something that will finally help small business owners in places that were always behind get the same opportunities as everyone else. And honestly? The tools are there. They're cheaper than ever, more accessible than ever.

But access isn't the problem anymore. The problem is that most entrepreneurs, especially those running lean operations, don't have a clear picture of where AI actually fits into their business. Not in theory. In practice. Tomorrow morning.

The skills gap is real but it goes deeper than just learn how to use the tool.

It's about having the strategic clarity to know which problem is worth solving with AI in the first place.

That kind of thinking doesn't come from a YouTube tutorial.

And then there's the funding side. Open-source tools help, sure, but implementation takes time, and time costs money.

Without access to the right financing or mentorship structures, most small operators are just experimenting blindly and burning resources.

What's your experience been? Are there programs, communities, or resources that actually helped?

Been noticing this a lot lately and it's kind of messing with how I think about content.

A page sitting at position 6 or 7 gets cited in AI responses. The page ranking number 1 gets completely skipped. Same topic, same keyword intent.

The pages that get picked up tend to just... answer the question faster. No long intro, no filler, just the actual answer upfront. The structure is also cleaner, not because of fancy formatting but because the logic flows in a way that's easy to follow.

I think AI tools are essentially rewarding writing that respects the reader's time. Which is ironic because a lot of SEO content was built to do the opposite, keep people on the page longer, bury the answer, add sections for word count.

That whole playbook might be working against you now.

Traditional SEO you could chase a position. With LLMs it's different.

The model isn't pulling a ranked list. It's recalling what it knows about a topic, nd what it associates with credibility in that space.

So if you're only thinking "how do I get mentioned," you're already behind. The real question is: what does the AI believe about your category, and where does your name fit in that belief?

Mentions matter. Context around those mentions matters more.

Everyone's obsessed with getting cited. Nobody's thinking about staying cited.

AI models get updated. Your mention today might disappear next month. The brands that show up consistently aren't just optimizing once, they're treating it like an ongoing process, not a one-time fix.

Write content that answers real questions directly. Keep it updated. Build context around your topic across multiple sources.

That's it. Not complicated. Just ignored.

Genuinely curious whether GEO is delivering real traffic for smaller sites or if it's still too early to rely on.

Is anyone actually running this end-to-end with agents, or is that mostly LinkedIn theatre?

Is anyone else thinking about how the entire content architecture of the web needs to shift for the AI search era?

Curious what signals people think actually influence whether an LLM references a source

Random thought. traditional SEO feels like competing for clicks, but AI search feels more like competing to be the answer.

In Google, you fight for rankings.
In AI tools, you fight for mentions.

Lately I’ve been testing content that’s less “keyword-focused” and more “answer-engineered”, clear explanations, strong opinions, and consistent brand mentions across different platforms.

What’s interesting is that some pages with lower rankings are still getting surfaced in AI responses, while higher-ranking pages sometimes get ignored.

Makes me think authority + clarity > pure SEO metrics in this space.

Curious if anyone else is seeing the same shift, or if I’m just overthinking this.

Most setups I've seen treat writing and distribution as separate steps, but it feels like the next evolution is an agent that creates content already structured to get cited by ChatGPT or Perplexity automatically.

Anyone else thinking about this when choosing their AI content stack?

Is anyone actually tracking and reporting on this differently?