Guides to AI search visibility
How ChatGPT, Perplexity, Gemini, Grok and Claude pick the brands they mention, what the metrics mean, and what to do when an answer gets you wrong. Written by the advisible team from work in the product and the docs of the tools we compare against.
Basics
What AI search visibility, GEO and AEO mean, and how the engines pick brands to mention.
AI search visibility is how often your brand shows up when buyers ask ChatGPT, Perplexity or Gemini about your category. What it means and how to measure it.
GEO optimises how AI engines describe and cite you. SEO optimises ranking. The buyer is the same and much of the work carries over. A side-by-side comparison.
GEO is getting mentioned, described correctly and cited in AI answers. How engines build an answer, what GEO includes, and what you can measure.
No engine publishes how it picks brands. The inputs are observable: what the sources say, query fit, consistency and prominence. What you can influence.
Sampling, model updates, source churn and your own chat history all move AI answers day to day. Why one snapshot misleads, and how to read the change.
Plain definitions of the terms used in AI search visibility: GEO, AEO, LLMO, prompt, run, answer, mention, citation, Visibility, sample size and verdicts.
Measuring
Which prompts to run, what each metric means, and how to read the numbers.
Three ways to track whether ChatGPT mentions your brand, from manual checks to daily API runs, and what each one costs you in time and accuracy.
What each AI visibility metric counts, worked examples with invented numbers, what each one cannot tell you, and which to put in front of your boss.
How to build an AI visibility prompt set from real buyer questions, how many prompts to start with, and why branded prompts belong on their own line.
What a sample line like based on 18 answers licenses you to say, our rule of thumb for ignoring noise, and how a confidence interval reads without the math.
Mention, citation and retrieved source defined in one sentence each, plus how to read citation share and a sources list without fooling yourself.
How official-API collection and browser scraping differ in fidelity, repeatability, cost shape and terms risk, and the one question that decides which you buy.
A copy-paste monthly structure for an AI visibility report: prompt scope, Visibility with sample sizes, named competitors, top sources, one action.
Improving
Getting cited, correcting wrong claims, and choosing which pages to write or update.
How engines choose sources at answer time, how to write a page worth quoting, and a 30-day procedure for earning citations in ChatGPT and Perplexity answers.
AI answers repeat wrong claims about brands. Find the claim, trace the source page feeding it, correct that page, and re-run until the claim stops appearing.
Review sites, forums, YouTube, Wikipedia, news, your own docs and listicles each signal something different to an engine. What each does and your move for it.
A competitor gap is an answer that names a rival and leaves you out. How to read the gap list, choose which gap to work, and pick the page to write.
A week-by-week plan for your first 30 days of GEO: baseline runs, canonical facts, source work, measurement discipline, and what will not have moved by day 30.
Buyers ask AI whether you are worth it and the answer repeats objections it finds online. How to see which objections recur and what to do about each.
Brand perception
What AI says about you once it does mention you.
Visibility tells you whether AI answers mention you. Perception tells you what they say: the attributes, objections and factual claims behind each mention.
Build a fact sheet of dated, checkable claims about your brand, then read AI answers against it: the four verdicts, how to trace a wrong claim, and what to do next.
Association is what AI ties to your brand. Market prominence is which brands own an attribute in your category. Why the two diverge and what to do about the gap.
Tool selection
Checklists, pricing models and the questions worth asking before you buy.
A checklist for buying AI visibility software: engine coverage, collection method, sample sizes, prompt limits, pricing model, and the questions to ask in a demo.
Twelve verbatim questions for an AI visibility demo, grouped by coverage, methodology, numbers, pricing, exports and company, plus the red flags that should end the call.
How to track AI visibility for free: a weekly manual audit with a copy-pasteable spreadsheet, what each free route gives you, and when to move to a tool.
Bundled pricing bakes model cost into the subscription. Bring your own key passes provider token prices through at cost. How each bills, what each hides, who each suits.
Compare
advisible next to the other AI visibility tools, with facts checked on their own sites.
20 AI search visibility tools compared by criterion: engines, entry price and limits, every price read from the vendor's own page on 2026-10-11.
Peec AI vs advisible: both track daily. Peec UI-scrapes and gates models by plan; advisible runs five engines via their own APIs and shows sample sizes.
Peec AI alternatives worth a look in 2026: eight tools compared on engines, entry price and limits, every price read from the vendor on 2026-10-11.
Otterly.AI vs advisible: Otterly starts at $29 with 4 engines and paid add-ons; advisible runs five engines daily on your own provider keys, with sample sizes on every number.
Profound vs advisible: Profound sells a 7-day trial and quote-based Enterprise with SOC 2 and SSO; advisible runs on your own provider keys, with five engines.
Semrush AI Visibility Toolkit vs a dedicated tracker: $99/mo per domain for 25 prompts in the SEO suite, or daily runs of your prompts with sample sizes.
Ahrefs Brand Radar vs dedicated tools: a 470M prompt index for instant lookups, or daily runs of your buyer prompts with sample sizes and fact-checking.
Otterly.AI alternatives: eight tools on engines, entry price and limits, for buyers hitting the 4-engine ceiling, add-on fees or the Lite feature gates.
Profound alternatives for buyers facing quote-based Enterprise: eight tools compared on engines, entry price and limits, verified on vendor pages 2026-10-11.
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How we research, fact-check and update these guides.