Prompt and question set
Choose representative questions customers might ask and document the platforms and context used for review.
Face45 / SEO & AI search visibility
AI search audit
Review the public information, source pages, and technical foundations that may shape how answer systems interpret your business.
A transparent audit loop
AI search audit / inspect the evidence
A practical look at the people, information, and systems involved in ai search audit.


The service, in context
AI answer experiences change and do not expose every ranking factor. A useful audit records a reproducible set of questions, checks whether core business facts are consistent, and separates observed responses from recommendations the business can act on.
Review the public information, source pages, and technical foundations that may shape how answer systems interpret your business.
Typical areas of work
The final scope depends on your systems, audience, priorities, and the evidence available. We agree deliverables before work begins.
Choose representative questions customers might ask and document the platforms and context used for review.
Check whether services, locations, expertise, policies, and authorship are clear on credible public pages.
Review crawlability, internal links, metadata, page structure, and factual structured data.
Prioritize improvements by accuracy, importance, and feasibility without claiming control over an answer engine.
SEO & AI search visibility / Interactive service map
Outputs differ by platform, user, region, and time; findings should include the date and test context.
Interactive workflow / service map
Select a step to see what happens, or use the controls to move through the sequence.
Select a stage to inspect its details
Stage 01 / What happens
Define brands, regions, competitors, customer questions, and which answer platforms are relevant.
Choose a scope area
Select an area for its detail and a practical planning note.
Scope area 01
Choose representative questions customers might ask and document the platforms and context used for review.
How we approach it
Each stage has a defined purpose. We confirm what is learned, what is changing, and what needs your approval before moving on.
Define brands, regions, competitors, customer questions, and which answer platforms are relevant.
Record dated examples and source links so observed findings can be revisited.
Trace claims to the website and other public sources, marking what is uncertain or out of date.
Create a practical list of content and technical actions, with owners and a follow-up review date.
Before work begins
Good delivery depends on clear ownership, access, and expectations as much as it depends on the implementation.
AI answers can vary and change without notice; a one-time audit does not predict future inclusion.
Only publish verified facts and describe expertise, services, and locations in a way the business can substantiate.
Some answer systems do not provide stable source reporting or enough data to measure referral impact.
Useful answers
These answers set practical expectations. We can confirm the details that depend on your platform and project scope.
No. AI systems choose their own answers and sources. An audit can identify unclear or inconsistent information and document what was observed.
Not necessarily. Responses can vary by platform, location, personalization, model, and time. A useful report records those testing conditions.
The audit is a diagnostic starting point. GEO or AEO work may include implementing improvements to the website and reviewing later evidence.
SEO & AI search visibility
Share the goal, the current setup, and what you want to improve. We can work out a sensible first step.