I’m learning AEO/GEO by running small experiments in public instead of just reading opinions about AI search.
This one started in the least glamorous way possible: I wanted to buy a cat water fountain.
I opened a few review pages, asked Perplexity and ChatGPT, and quickly realized I wasn’t only comparing products. I was comparing the sources AI used to decide what a brand “is.”
That made me curious:
When someone asks AI about a specific brand, does the brand’s own website control the answer?
I tested 15 queries around one product category, using PETLIBRO as a public example. The queries were split into three layers - here’s what stood out:
Problem-aware queries
Example: “why won’t my cat drink from a bowl?”
Result: the brand disappeared. AI cited vets, health sites, Reddit, and pet-care blogs.
Solution-aware queries
Example: “best / quietest cat water fountain”
Result: the brand appeared often as a top pick. AI cited review media, retailers, and brand pages.
Brand-aware queries
Example: “[brand] review / vs competitor / alternatives”
Result: the brand appeared, but the answer was shaped by third-party sources too.
The interesting part was the branded layer.
Even when the query was explicitly about the brand, AI didn’t only use the brand’s site. It pulled from review sites, retailer reviews, Reddit, YouTube, and app/review signals.
My takeaway:
A brand’s website makes claims. Third-party sources make those claims believable. AI seems to use both.
That changed how I think about AEO.
Before this, I would have mostly checked:
I still think all of that matters.
But now I’d also audit:
This is the part I think founders should care about:
AI visibility is not just a website/content problem. Sometimes the fix is product, support, reviews, positioning, community, or third-party proof.
Small caveat: this was a tiny test, not a benchmark. 15 queries, two engines, one run each, visible citations only.
I cleaned the raw outputs into a source-level dataset instead of publishing the full AI responses. The cleaned version keeps query, engine, brand role, cited domains, source type, gap, and notes.
Full write-up + cleaned 30-row dataset:
https://www.nixal.ai/blog/ai-brand-visibility-brand-queries-source-gap/
I’m curious if other founders are checking this yet:
When people ask ChatGPT or Perplexity about your product/category, does AI mostly cite your own site, or does it lean on third-party sources for trust?
Now I'm curious what the pattern was. AI visibility is becoming its own discipline — how products show up in AI search results, not just Google. I'm watching this closely since my product is literally about AI tool discovery. What tipped you off that something unusual was happening?
The query-layer split (problem-aware / solution-aware / brand-aware) is the genuinely useful finding here. The pattern that the brand disappears at the problem-aware layer is the one founders should panic about, because that's the top of the funnel where buyers don't know you exist yet. AI hands that moment entirely to vets, Reddit, and health sites.
The strategic takeaway buried in your data: you can't win problem-aware visibility with your own site at all. That layer is owned by third-party trust signals. So the real move isn't better product pages, it's getting cited in the sources AI already trusts for that category, which is a PR/community/review problem, not an SEO one.
Which layer did you find hardest to influence once you spotted the gap?
The shift from "what does my website say?" to "what does the rest of the internet consistently say about me?" really stood out.
It feels like AI is rewarding consistency across sources more than any single page. That's a very different way of thinking about visibility than traditional SEO.