01 · Research · Audit → Engineering

AI Visibility

See exactly what AI says about you. Then change it.

Definition

What is AI Visibility?

AI Visibility is Generative Engine Optimisation delivered end to end: a scored audit of how AI answer engines describe your brand today, then the narrative and technical fixes that change what they say. It covers both halves, the measurement and the engineering, because a score nobody acts on moves nothing.

The problem

What problem does AI Visibility solve?

When buyers ask an AI about your category you are named, ignored, or misquoted; nothing tells you which. Ranking on Google no longer means being legible to the systems answering on your behalf.

What you get

What’s included in AI Visibility?

01

Prompt analysis

A control pool run across the major models: where you are named, missing, or misattributed. Question by question.

02

Machine-readability audit

Schema coverage, crawlability, structured feeds, llms.txt: what AI can and cannot see.

03

Source-tier map

Where your authority sits, against the category leader.

04

AI Visibility Score

One baselined number, so every later move is measurable.

05

Ranked fix list

What to fix first, what it costs, what it moves.

06

Fix execution

The engineering phase: schema, structure and evidence placement. Implemented with your team, or for them.

How it runs

How does AI Visibility work?

  1. 01

    We build a prompt pool that mirrors how buyers, critics and journalists actually ask.

  2. 02

    We run it across the major models and score every answer.

  3. 03

    We crawl your site the way an AI crawler does.

  4. 04

    In two weeks you get the audit, the score, and the ranked plan.

  5. 05

    We execute the ranked fixes: schema, structure, evidence placement.

  6. 06

    We re-run the prompt pool: the score moves, or we know exactly why.

The outcome

A baselined, evidence-backed picture of your AI presence. Re-scored every cycle, so movement is measured, not claimed.