Agree what to measure in AI search. See the answers and sources. Give your team a clear set of recommendations, then check what changes with a recurring service.
Four stagesAgreed questions and marketsEvidence in every delivery
The definition
What is AI search visibility?
AI search visibility is how often AI assistants mention, cite or recommend your brand when buyers ask questions. Search rankings measure your position in a list of links. AI visibility measures your presence inside the answer, across an agreed set of questions, markets and AI services.
01
Agree the questions
Measure the buying decisions that matter.
Share your brand, websites, products, priority markets and competitors. We prepare the buyer questions for your approval.
Start with customer questions
We define the decisions buyers make before choosing a product. Where Search Console is part of the agreed analysis, read-only access helps relate those questions to measured demand.
Confirm the boundaries
You approve the questions, markets, languages and AI services included. Coverage is agreed for your scope.
Keep a dated baseline
The question set and measurement context stay attached to the results so your team can understand what was checked. With System or Partner, we review the question set every three months against the recorded answers and, where Search Console is in scope, against search demand, then refresh it for the next quarter.
How the question engine works
Buyer topicStart with the decision a customer needs to make.
EvidenceUse search demand where access and analysis are in scope.
Agreed questionsConfirm the questions, markets and AI services to check.
Answers and page checksTurn the evidence into recommendations.
You receiveAn agreed question set and dated baseline.
02
Record the answers
See where your brand appears and which sources are cited.
Our system runs the agreed questions on ChatGPT, Claude, Gemini, Google AI Overviews and Perplexity, records each answer and compares your brand with the named competitors. A result belongs to its question, market and date.
Evidence in your deliveryVisibility baseline
Inspect the answer behind the finding.
Question and context
The buyer question, market, language and measurement date.
Brand presence
Whether the answer mentions, cites or recommends your brand, and which competitors appear.
Supporting sources
The cited pages and the evidence behind the recommendation.
AI answers vary. One answer is a dated observation; repeated measurement helps identify patterns.
You receiveThe AI answers, brand presence and cited sources.
03
Assess your website
Connect the answer to what your website makes available.
The readiness assessment looks for technical barriers and missing information on the agreed pages. It sits alongside brand visibility measurement.
Check access and page information
Review how pages can be read, their metadata and structured data. Record the evidence for each technical recommendation.
Check the buyer information
Look for missing answers, unclear product facts and page structures that make useful information difficult to find.
Set the next priorities
Combine the visibility findings and readiness checks into a prioritized task list and publishing recommendations.
You receiveReadiness findings and recommended changes.
04
Put the findings to work
Your priorities. Your team decides how to act.
Your nominated contact receives the findings, supporting evidence and recommendations. That person distributes the work within your company or to agency partners.
CDE recommends
What needs attention, why it matters and the proposed change or content.
Your company acts
Your contact chooses the people, format and channel. Your team verifies the facts and publishes.
CDE measures again
A recurring service repeats the agreed checks, reports changes and provides the next priorities.
You receivePriorities for your contact, then repeat measurement with a recurring service.
Review cadence
Choose how much human support you need.
The delivery cadence is part of the service scope. A Snapshot gives you a bounded baseline. System and Partner add repeat measurement.
System
A human quality pass at setup, followed by automated monthly measurement, a dashboard, an MCP connector and prioritized actions. Use the connector to access your published results and schema drafts in Claude, Codex or another AI application that supports remote MCP connections.
Partner
Monthly human review and a working call with your nominated contact to discuss findings and priorities.
Voice of Customer
Customer discussions can also inform content briefs with suggested formats and evidence to check. See the current pilot sample.
AI search visibility is how often AI assistants mention, cite or recommend your brand when buyers ask questions. Search rankings measure your position in a list of links. AI visibility measures your presence inside the answer, across an agreed set of questions, markets and AI services.
How much does AI search visibility consulting cost?
A Snapshot costs €490 once. Visibility System costs €349 per month plus €990 setup. Visibility Partner starts at €1,490 per month, with setup quoted. Voice of Customer work is scoped and priced separately.
Is a readiness score the same as brand visibility?
No. Readiness checks the website. Brand visibility records whether AI answers mention, cite or recommend your brand. We keep the two views separate and use both to inform recommendations.
Will one website change cause a better AI answer?
AI answers depend on several sources and can change between measurements. We report observed changes without claiming that a single website edit caused them.
Do you need to manage our agency?
We work with your nominated contact. Your contact decides how to involve your agency and distribute the work.
Can we check a page ourselves first?
Yes. The free AI Visibility Inspector checks one page for technical readiness. It does not measure your brand across a set of buyer questions.