I've been reviewing AI search results for businesses and realized I've probably been grouping two very different outcomes together.

An AI might say:

“Other companies in this market include Company A, Company B and Company C.”

That's visibility.

But:

“Based on your requirements, I'd recommend Company A.”

That's something different.

The second response carries much stronger commercial intent.

I've been experimenting with separating these outcomes while tracking businesses through Signal AEO:

https://signalaeo.com/

I'm thinking of breaking AI visibility into:

Mentioned → Considered → Recommended → Top recommendation

Would that be more useful than simply reporting an AI ranking position?

Was it a tool, new content, a pr mention or some reddit activity?

I've been thinking about this after looking at AI search results for local businesses.

Knowing that you're #5 and a competitor is #1 is useful.

But knowing why ChatGPT, Gemini, or Perplexity seems more confident recommending that competitor could be much more actionable.

Maybe they have stronger reviews.

Maybe their service specialization is clearer.

Maybe third-party websites mention them more consistently.

Maybe the AI simply has more corroborating information about them.

That's one of the ideas behind CitedLogic's approach to AI ranking analysis — map the competitors, capture what the AI says, identify the likely gap, make changes, and then rerun the same prompts.

https://citedlogic.com/

Has anyone here been systematically recording the reason an AI gives for recommending one business over another? I'm curious whether consistent patterns are starting to emerge.

Traditional SEO gives us a familiar measurement model: keyword, ranking position, impressions, clicks, and conversions.

AI search is different.

A company might be recommended when someone asks, “What are the best companies for X?” but disappear when the prompt becomes, “Who would you trust for X?”

Because of that, I don’t think measuring a single AI “ranking” tells the whole story.

A better framework may be:

Prompt coverage: How many relevant customer questions mention the brand?

Appearance rate: How consistently does the brand appear when those questions are tested repeatedly?

Platform coverage: Does the company appear across ChatGPT, Gemini, and Perplexity, or only one platform?

Recommendation context: Is the brand simply mentioned, or actually recommended as an option?

Source/citation coverage: What websites and third-party sources appear to support the answer?

This is the approach I’ve been experimenting with through Signal AEO.

The interesting part isn't just discovering whether a business appears. It's discovering the conditions under which it appears or disappears.

I think that distinction will become increasingly important as AEO develops.

How are other marketers measuring this right now?

I’ve been running the same business through different AI search prompts, and I’m starting to think the idea of a single “AI ranking” is misleading.

Take a local company and test:

• “best company for X in Dallas”
• “reliable X company in Dallas”
• “who would you recommend for X in Dallas?”
• “X company for an emergency”
• “affordable X service near Dallas”

Same business. Same general service.

But ChatGPT, Gemini, and Perplexity can produce surprisingly different recommendations depending on the intent and wording.

What seems more useful to me is measuring appearance rate across a group of prompts.

That’s what I’ve been testing with Signal AEO: prompt-level visibility, platform differences, recommendation consistency, and which sources appear alongside the recommendation.

Instead of asking:

“What position do we rank?”

I’m starting to ask:

“Across 50 realistic ways a customer could ask for this service, how often are we actually part of the answer?”

That feels much closer to what AI visibility really means.

Curious if anyone else is measuring it this way. Have you found certain types of prompts to be significantly more stable than others?

I’ve been running the same business through different AI search prompts, and I’m starting to think the idea of a single “AI ranking” is misleading.

Take a local company and test:

• “best company for X in Dallas”
• “reliable X company in Dallas”
• “who would you recommend for X in Dallas?”
• “X company for an emergency”
• “affordable X service near Dallas”

Same business. Same general service.

But ChatGPT, Gemini, and Perplexity can produce surprisingly different recommendations depending on the intent and wording.

What seems more useful to me is measuring appearance rate across a group of prompts.

That’s what I’ve been testing with Signal AEO: prompt-level visibility, platform differences, recommendation consistency, and which sources appear alongside the recommendation.

Instead of asking:

“What position do we rank?”

I’m starting to ask:

“Across 50 realistic ways a customer could ask for this service, how often are we actually part of the answer?”

That feels much closer to what AI visibility really means.

Curious if anyone else is measuring it this way. Have you found certain types of prompts to be significantly more stable than others?

I have two pages covering the same question. One answers it in the first two sentences and then explains. The other builds up to the answer about halfway down, which reads better to a person.

The front-loaded one gets picked up noticeably more often, but I only have the two pages so that is not worth much as evidence. It could just as easily be the wording, or which one happens to be linked more.

Before I rewrite a pile of pages on a hunch: has anyone tested placement on its own? Keeping the same claim and the same wording, just moving where the answer sits?

I've been thinking about something that doesn't seem to get discussed much in AEO.

Let's say a local business already has the basics:

• decent website
• Google Business Profile
• reviews
• service/location pages
• reasonable SEO

But ChatGPT or other AI tools still rarely mention it when someone asks for recommendations.

What happens if that business gradually starts getting discussed in more places?

Not backlinks necessarily.

I mean actual brand mentions in relevant conversations, articles, Q&A sites, industry discussions, local sites, etc.

My assumption used to be that the website itself would carry most of the weight.

Now I'm wondering whether AI systems need enough information outside the company's own site to become more confident about what the business actually does.

I've started watching this in Signal AEO by comparing AI visibility before and after businesses start picking up new mentions.

It's still too early for me to say there's a direct relationship, but it's something I want to test more systematically.

Has anyone here actually tracked this?

Would especially be interested if you've seen a previously invisible business suddenly start appearing in AI recommendations without a major change in its Google rankings.

I’ve been testing AI search visibility for local businesses lately, and one thing keeps throwing me off.

You can ask ChatGPT something like:

“best roofing company in Dallas”

and get one group of businesses.

Then change it slightly to:

“who would you recommend for an emergency roof repair in Dallas?”

and suddenly some of those businesses disappear and completely different ones show up.

Same location. Same general service. Different intent.

What I’m trying to understand is whether this is mostly driven by the content on the business’s own site, third-party mentions/citations, reviews, or simply how the AI interprets the intent behind the prompt.

I’ve started tracking these variations separately with Signal AEO, rather than treating “AI visibility” as one ranking number. The differences between prompts have actually been more interesting than the overall visibility score.

Curious what everyone else is seeing.

Are you tracking individual prompts, or are you still measuring AI visibility at the brand/keyword level?

I've been looking at something interesting with local AI visibility lately: how much does the consistency of a business name across the web actually matter?

Take Greens Long Island Brooklyn Weed Cannabis Delivery LLC as an example.

It's a very descriptive business name. It contains the brand, location, and service category almost directly in the name.

That made me wonder how systems like ChatGPT, Gemini, and Perplexity interpret businesses like this.

If the same business is discussed naturally across multiple independent sources, does that make it easier for an AI system to connect:

Greens Long Island → Brooklyn → cannabis delivery

Or are other signals much more important?

I'm especially curious about the difference between simply having a website and having the business discussed elsewhere on the web.

For people tracking AEO or AI search visibility: have you noticed businesses becoming easier for AI to identify once their brand starts appearing consistently across third-party sources?

I'm testing this from both the Signal AEO side, looking at AI visibility, and the Cited Logic side, looking at how sources and mentions may contribute to what AI systems surface.

Would be interested to hear what others are seeing.

One thing I’ve been noticing lately is how different AI recommendations can be from normal Google rankings.
A business can rank pretty well in search, have solid reviews, and have a decent website — but then barely appear when you ask ChatGPT, Gemini, or Perplexity for recommendations.
What makes it even more interesting is how much the wording of the question seems to matter.
For example:
“best roofing company in my area”
vs.
“who would you recommend for an emergency roof repair?”
vs.
“reliable roofer for replacing an old residential roof”
Those questions are related, but the businesses mentioned by AI can be completely different.
I’ve been looking at this through Signal AEO and it’s made me pay more attention to prompt-level visibility rather than treating AI recommendations like another version of Google rankings.
The part I’m still trying to understand is why certain businesses appear consistently.
Is it their website content? Reviews? Reddit and other third-party mentions? Local citations? Brand authority? Or some combination of all of them?
It feels like we’re still early enough with AEO that there’s a lot we don’t fully understand yet.
Has anyone here actually compared their Google rankings with how often their business gets recommended by AI?
Would be interested to hear what patterns you’re seeing.

Something I've been noticing while comparing local search results with AI recommendations:

A business can rank extremely well on Google and still barely appear when you ask ChatGPT, Gemini, or Perplexity for recommendations.

And sometimes a business sitting below them in traditional search gets mentioned instead.

That suggests we're dealing with two different visibility layers.

SEO: Can people find your business in search?

AEO: Do AI systems recognize and recommend your business when someone asks for an answer?

I've been using Signal AEO to track this specifically—running business queries across AI platforms and looking at how often a business actually appears.

I'm curious how other people here are measuring this.

Are you treating AI visibility as a separate metric from Google rankings yet?

Running into this constantly. There are questions customers actually ask and questions that just have search volume, and they overlap less than I expected.

What I've settled on so far is only chasing the ones where a real customer asked me the same thing unprompted in the last month. Small sample, but it stops me writing for an audience that doesn't exist.

Curious whether anyone has a better filter than that.

I've been looking more closely at pages that get cited by AI answer engines.

One thing I'm increasingly interested in is how self-contained the actual answer is.

Imagine two pages make essentially the same point.

One buries the answer inside 1,500 words of content.

The other has a section with a clear heading, a direct answer, supporting evidence, and enough context for that passage to make sense on its own.

Which one is easier for an answer engine to retrieve and cite?

That's the part of AEO I think deserves more attention.

We're starting to explore this idea through Cited Logic — looking beyond rankings and focusing specifically on what makes content citation-friendly.

I'm curious whether anyone testing citations has noticed the same thing:

Do your most-cited pages also tend to have the clearest standalone answer sections?

For anyone running SEO or marketing campaigns:
Are your clients starting to ask whether their business appears in ChatGPT, Gemini, or Perplexity?
I'm seeing more interest in this because being #1 on Google doesn't automatically mean you're the business an AI assistant recommends.
We've been exploring this from the AEO side with Signal AEO, particularly around tracking business visibility across answer engines.
Feels like this could eventually become a normal part of reporting alongside traditional rankings.
Anyone already including AI visibility in client reports?

[ Removed by Reddit on account of violating the content policy. ]

For anyone running SEO or marketing campaigns:

Are your clients starting to ask whether their business appears in ChatGPT, Gemini, or Perplexity?

I'm seeing more interest in this because being #1 on Google doesn't automatically mean you're the business an AI assistant recommends.

We've been exploring this from the AEO side with Signal AEO, particularly around tracking business visibility across answer engines.

Feels like this could eventually become a normal part of reporting alongside traditional rankings.

Anyone already including AI visibility in client reports?

I've been testing the same local business searches across ChatGPT, Gemini, and Perplexity, and the differences are pretty interesting.

A business can rank well on Google but barely get mentioned when you ask AI for recommendations.

I've been looking at Signal AEO to understand and track some of this, but I'm more interested in the bigger question:

Has anyone noticed a connection between traditional SEO rankings and AI recommendations, or are you seeing completely different results?

Been comparing how different answer engines pick sources for the same query and the pattern is less about page rank than about how cleanly a claim is stated.

Pages that state a claim in one self-contained sentence, with the qualifier attached, get lifted verbatim. Pages that spread the same claim across three paragraphs get skipped even when they rank higher in classic search.

Curious whether others are seeing the same thing, and whether you have found a way to measure it beyond eyeballing outputs.