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Link 01 · Found · AI Visibility

Know who the AI recommends before your client loses the customer.

Every week Angflare asks the real engines the questions your clients’ customers ask, and records who gets named, who gets cited, and what it would take to be the answer.

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Illustration with sample data.
A woman in a parked car asking her phone for a recommendation
The new front door

Customers stopped scrolling ten blue links. They ask, and they take the answer.

Someone asks an assistant which dealership to trust, which clinic to book or which supplier to buy from. The assistant names two or three and moves on. If your client is not one of them, there was never a click to lose.

Rank trackers cannot see this. The answer changes by engine, by city and by how the question is phrased, and it is built from sources most businesses have never thought about: directories, review sites, forums, and the structure of their own pages.

How it works

Four steps, no busywork.

01
Build the questions

Queries come from the business itself: its real category and city from the Google Business Profile, its services and the way customers phrase the problem. No generic "best company near me" prompts.

02
Ask the real engines

Live queries run against ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews. Answers that come from live web search are kept separate from answers pulled from model memory.

03
Record who wins

Every mention, every cited URL and every competitor named, with sentiment. Share of voice carries a confidence interval, so a small sample never reads like a trend.

04
Turn gaps into work

Missing citations, blocked AI crawlers and weak pages become tasks with step-by-step instructions, in the same queue as everything else.

Inside AI Visibility

The details that do the work.

AI Search Console

The real questions people ask AI engines in your client’s category, pulled from an index of AI traffic, with the sources those answers cite.

Citation gap

For queries that trigger an AI Overview, see which competitor is cited, on which URL, and whether your client is cited, ranked, or neither.

Citation sources

The directories, review sites and forums the engines actually lean on for your niche, so outreach goes where it moves the answer.

AI bot access

Checks robots.txt against the AI crawlers that matter. A blocked retrieval bot is flagged as critical; a blocked training bot is treated as a choice.

AI Readiness Score

Seven signals in one number: crawler access, entity clarity, citable content, structured data, authority, freshness and agent readiness.

Query coverage

Fans a service out into the sub-questions customers ask and shows which ones the site answers and which ones nobody on it does.

Honest by design

The lines it does not cross.

Trust is the product. These are built into the platform, not left to good intentions.

Scores come with sample sizes and confidence intervals. When there is not enough data, the report says so.

Live web answers and model memory are measured separately, because they move for different reasons.

We never fabricate a visibility score from a source that failed to respond.

Questions about AI Visibility.

Which engines do you query?

ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, with live queries. Coverage per engine is shown on every report.

How often does it run?

A full scan runs weekly for every site, and on demand when you need a fresh read before a client meeting.

Can a smaller company really show up in AI answers?

Yes. The engines lean on signals a smaller company can control: a clear business profile, consistent citations, reviews, and pages that answer the question directly. For clients with locations, those are the same things that win the map pack. The tracking shows which of those is missing.

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