AI search visibility

Find what to fix first in AI answers

Free scans hand you a number out of 100 and no next step. This names the one rung that is broken and sends you to the page that fixes it.

Key takeaway

A blended visibility score is unactionable by construction: it averages a crawler that cannot reach you with a page an engine cannot extract, and hands you one number for two unrelated problems. The ladder refuses to average. It names the one rung that is broken and locks the ones above it, because fixing rung four while rung one blocks the crawler is wasted work.
The refusal to blend is the product

The ladder

One broken rung, named, instead of a score

Every competitor sells a number. A number tells you where you stand and nothing about what to do on Monday. Six rungs run from whether an engine can fetch your page at all through to whether it will recommend you, and the ladder stops at the first one that fails.

Rungs above a break are locked

Stop your team optimising content nobody can fetch. If a crawler cannot reach the page its citation rate is noise, so everything above the break is locked until you clear it.

Each rung has somewhere to go

Get an answer to "what now" in one click. Crawl access, extractability, citations, sentiment and prompt coverage each link to the page that explains the fix.

The thresholds are printed

Argue with the numbers instead of accepting a grade. Paragraph length, list ratio and heading density are published with a floor and a ceiling, labelled as a documented first pass rather than settled science.

TrustData AI visibility readiness ladder with the failing rung named

The engines

What is actually measured, and what costs extra

Most vendors advertise an engine count and let you assume it is all included. Here is the split, stated up front, because you will find it out at the invoice otherwise.

Included on every plan

Get the three surfaces every brand asks about without an upgrade. ChatGPT and Perplexity are probed daily, and Google AI Overviews is read per tracked keyword because it is a result page rather than a chat engine.

Priced as add-ons

Add only the engines your buyers actually use. Gemini, Claude, Mistral, DeepSeek and Google AI Mode are priced per tier, and AI Mode is separate from AI Overviews because the two behave and bill differently.

Four prompt types per engine

Win the buying stage you are losing rather than all of them at once. Brand direct, category, comparison and pain point are scored separately, because winning one does not win the others.

TrustData prompt coverage across engines and prompt types

The join

Joined to traffic you can bank, and labelled where it cannot be

AI visibility is a leading indicator. We report it as one and refuse to close the loop we cannot close, which is the part that makes the rest of the numbers worth reading.

AI referred sessions, measured server-side

Count the traffic AI actually sends you. Sessions from AI referrers are identified in your own first-party tracking and measured against the same deduplicated conversions as every other channel.

What we will not claim

Take nothing to your board that we cannot support. Nothing here bridges a citation to an order, because the data cannot carry it, and a vendor who bridges it is selling you a correlation with a confident face.

On the same keyword row as SEO

Read the trade between a blue link lost and a citation won on one row. Rankings, AI Overview presence and citation rate sit together instead of being inferred across two tools.

TrustData AI referred sessions measured against deduplicated conversions

FAQ

Direct answers.

14-day free trial

Find out which rung is costing you

14-day free trial. AI visibility is on every plan, with ChatGPT and Perplexity probed and Google AI Overviews read per keyword.