What AI visibility metric do you actually use?
For AI visibility tracking, what metric do you trust most?
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?
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?
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.
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?
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?