u/gromskaok

For AI visibility tracking, what metric do you trust most?

Did you buy a separate AI visibility tool, or do you use it inside an all-in-one SEO platform?

What did you choose and why?

For people who track AI visibility: how many prompts do you usually track for one brand?

Is it 20–50 prompts, 100+ or much more?

My top bullshit advice list:
1/ Add robots.txt for LLMs and you will get cited more. No. It is mostly about access control. It does not make your brand more trusted or more relevant.

2/ Schema markup will guarantee LLM recommendations. Schema can help machines understand a page better. But it does not make your product the best answer.

3/ Create a separate page for every query fan-out. This can easily become thin content with slightly different H1s. LLMs do not need 100 weak pages saying almost the same thing.

4/ Add FAQ blocks and AI will pick your answers. FAQ is not magic. If the answer is generic, copied from competitors, or adds no real insight, it will not help much.

5/ Optimize for prompts, not keywords. Sounds smart, but often it is just keyword stuffing with longer phrases. You still need to understand the user, the use case, and the buying context.

6/ AI visibility can be hacked fast. Maybe for one answer, for a short time. But stable visibility usually comes from brand mentions, reputation, useful content, and being present in sources LLMs actually use.

https://preview.redd.it/z7txjujbyb1h1.png?width=500&format=png&auto=webp&s=eacf320ea4fd66e6a6ad5750b6be26e9e22b8eba

My take: lot of “AI SEO hacks” are just old shortcuts with a new name. What is the worst AI visibility advice you’ve seen so far?

My top bullshit advice list:
1/ Add robots.txt for LLMs and you will get cited more. No. It is mostly about access control. It does not make your brand more trusted or more relevant.

2/ Schema markup will guarantee LLM recommendations. Schema can help machines understand a page better. But it does not make your product the best answer.

3/ Create a separate page for every query fan-out. This can easily become thin content with slightly different H1s. LLMs do not need 100 weak pages saying almost the same thing.

4/ Add FAQ blocks and AI will pick your answers. FAQ is not magic. If the answer is generic, copied from competitors, or adds no real insight, it will not help much.

5/ Optimize for prompts, not keywords. Sounds smart, but often it is just keyword stuffing with longer phrases. You still need to understand the user, the use case, and the buying context.

6/ AI visibility can be hacked fast. Maybe for one answer, for a short time. But stable visibility usually comes from brand mentions, reputation, useful content, and being present in sources LLMs actually use.

https://preview.redd.it/z7txjujbyb1h1.png?width=500&format=png&auto=webp&s=eacf320ea4fd66e6a6ad5750b6be26e9e22b8eba

My take: lot of “AI SEO hacks” are just old shortcuts with a new name. What is the worst AI visibility advice you’ve seen so far?

Has anyone here had a strategy that really worked for getting a brand mentioned more often in ChatGPT, Perplexity, Gemini, Claude, or AI Overviews?

Not theory, actual actions + results.

What did you do?
How did you track it?
How long did it take?

In one hospitality niche, our brand is consistently present and even ranks #2 by share of voice. So it is not an awareness issue. But the top competitor still owns almost 2x more visibility.

This feels different from classic SEO. In Google, you can see the SERP gap and work with pages, links, intent, CTR, etc.

In AI answers, the gap looks more like a reputation gap:
1/ which brand is easier to describe
2/ which brand has clearer associations
3/ which brand is repeated across third-party sources
4/ which brand AI treats as the default recommendation

AI prompt analytics by RankinAI

So the real question is not only “how do we get mentioned?” It is “how do we stop being the alternative option and become the default answer?”

Curious if anyone else sees this pattern: AI knows your brand, but keeps choosing the same competitor as the safest recommendation?

Saw a PR piece about political campaigns being invisible when voters ask AI basic questions.

The political angle is less interesting. The brand angle is bigger. Same thing happens in SaaS.

You can run ads, publish SEO content, post on LinkedIn, and still have AI give a weak or random answer when someone asks:

1/ Is this tool legit?
2/ Best alternatives to X?
3/ Any complaints about this brand?
4/ Why choose X over Y?

https://preview.redd.it/enj0it1bhg0h1.png?width=1448&format=png&auto=webp&s=221abe2a0999c13d61345ac0a5c7375de0ff1fbe

AI will build the answer from what it finds: reviews, Reddit threads, listicles, competitor pages, old mentions, your site, or anything else it trusts. So AI visibility is not only “did we get cited?” It is also: does the reputation layer around your brand actually help you sell?

Big brands can survive weak AI answers. Smaller SaaS brands often cannot.

When someone asks AI about your brand before buying does the answer help you or hurt you?