Definition
What is AI Visibility?
AI Visibility is how often, how accurately, and how favourably a brand is named when people ask AI assistants for recommendations. It is the difference between being findable and being recommended.
Answer first
What is AI Visibility?
AI Visibility is your presence inside AI-generated answers: whether an assistant names your brand when asked to recommend a solution, how it describes you, and what it recommends you for.
It is not a ranking and not a score. It is a binary presence check, repeated across the assistants your buyers use, plus a read of the description attached to your name.
Why it matters
Why being findable is no longer the same as being chosen
Traditional discovery produced a ranked list of documents and let the reader decide. An assistant does the deciding. It reads across sources, forms a working view of the category, and returns a small number of named options with reasons attached. There is no second page and often no visible ranking to appeal to.
That makes visibility binary in a way search never was. You are in the answer or you are not. And unlike a search result, the answer also carries a characterisation of your product — accurate or not — that the buyer will treat as neutral fact.
Where it happens
Where AI recommendations actually occur
AI Visibility is not one surface. It is a set of moments where a model decides which brands to name.
Conversational assistants
ChatGPT, Claude and Gemini answering open questions like "what should we use to do X at a 40-person company?"
Answer engines
Perplexity and similar tools that synthesise an answer with citations and a recommended set of options.
AI search summaries
Google's AI-generated overviews sitting above the traditional results, often answering the question outright.
Embedded copilots
Assistants inside other products, IDEs and browsers that suggest tools and vendors in the flow of work.
How brands appear
How does an AI assistant decide which brands to recommend?
No one has full visibility into model internals, but the practical inputs are observable and largely the same across systems.
- 01
Training-time knowledge
What the model absorbed about your category and your brand from the public web up to its cutoff. Slow to change, but strongly shapes default answers.
- 02
Retrieved sources at answer time
For browsing-enabled answers, the pages the system fetches: comparison articles, documentation, review sites, forums, directories.
- 03
Consistency of description
If every source describes you the same way, the model states it confidently. If descriptions conflict, it hedges or omits you.
- 04
Specificity of use case
Models recommend for a job. A brand clearly tied to one concrete use case is easier to name than a brand described only in abstract benefits.
Why it matters
Why AI Visibility matters for brands
The shortlist is now formed before you know a buyer exists. By the time someone reaches your website, an assistant may have already compared you to three alternatives and framed the trade-off. Absence from that moment does not show up in your analytics as a lost deal — it shows up as a deal that never started.
It also matters defensively. An assistant repeating an outdated claim about your pricing, your integrations or your limitations will do so consistently, to every buyer who asks, until the underlying sources change.
Measurement
What companies should measure
A workable AI Visibility baseline needs four numbers and one qualitative read.
Mention rate
The share of relevant prompts where your brand appears at all.
Share of voice
Your mentions relative to named competitors across the same prompt set.
Accuracy
How correctly the assistant describes what you do, who you are for, and what you cost.
Intent coverage
Whether you appear for the specific jobs you want to own, not just your brand name.
Framing (qualitative)
The role you are given in the answer: default choice, budget option, niche alternative, afterthought.
Answers index
Keep reading
Each answer is a page. Each page ends in the same place: a free, manually run audit of your own category.
AI Visibility vs SEO — what's the difference?
SEO wins a position in a list of links. AI Visibility wins a mention inside an answer that already made the choice.
How do I get recommended by AI?
Find out what the assistants currently say, why competitors are named instead, then fix the sources those answers are built from.
Why does ChatGPT recommend competitors instead of us?
Because the sources a model trusts describe your category without clearly connecting your brand to a specific job.
See your own baseline
An audit gives you these measurements for your category, read by a human rather than a scraper.