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AI Search Visibility Audit

AI SEO

Find out whether search and answer engines can understand your expertise, retrieve the right pages and support useful answers with evidence from your site.

£361one-off audit
  • Query and answer visibility baseline
  • Entity, evidence and topic relationship audit
  • Structured content and schema review
  • Prioritised implementation plan with clear owners

Built for structured delivery

AI SEO deals with a specific question: when an answer engine or search feature assembles information about your market, can it identify your business as a relevant and dependable source? The answer depends on much more than adding a file or repeating a keyword.

Clear entities, stable page ownership, accessible source content, corroborating evidence, useful structure and consistent business information all matter. Weak technical SEO can block retrieval, while thin or unsupported copy gives a system little reason to use the page even when it can crawl it.

This service separates foundational SEO defects from AI visibility opportunities. The audit produces an evidence-backed work list, identifies which page should own each priority topic and shows where content needs clearer facts, stronger support or a better retrieval structure.

What is included

AI answer visibility baseline

We test a defined set of brand, service, comparison and problem-led prompts across relevant surfaces. Observations are recorded with dates because generated answers can vary between runs.

Entity consistency review

Business name, services, locations, people, credentials and external profiles are checked for consistency so machines do not have to reconcile avoidable contradictions.

Source and evidence assessment

Priority pages are reviewed for specific facts, original expertise, examples, author context, references and update signals that make the content more useful as a source.

Retrieval-friendly content structure

We identify where a focused answer, comparison, definition, process or limitation should be easier to find within the page without turning the copy into a list of artificial snippets.

Schema and discovery files

Visible content is matched with suitable schema. Robots rules, sitemaps, llms.txt and machine-readable resources are checked for accuracy and access, without treating them as ranking shortcuts.

Cannibalisation and ownership map

Queries and topic clusters are assigned to primary pages. Duplicate service angles, conflicting titles and internal links that point to the wrong owner are documented for correction.

Commercial options

Start with a defined audit. Implementation can be handled as a separate project or folded into an ongoing SEO engagement after priorities are agreed.

From £425
£425

AI Visibility Audit

A focused review of priority services, entity signals, source pages and answer visibility.

  • Prompt and query baseline
  • Entity consistency review
  • Priority page assessment
  • Schema and discovery checks
  • Ordered action plan
Scoped proposal
Custom

Content and Entity Implementation

Delivery of agreed content, entity, schema and internal linking improvements.

  • Page ownership map
  • Source content improvements
  • Internal linking changes
  • Supported schema updates
  • Post-change verification
Monthly scope
Custom

Ongoing Search Visibility

Monitoring and iterative work alongside technical and on-page SEO.

  • Visibility observations
  • Search Console analysis
  • Content prioritisation
  • Citation opportunity review
  • Monthly implementation record

Why this service works

Grounded in technical SEO

AI visibility work starts with crawlability, canonical URLs, indexation, internal links and clear search intent, because discovery files cannot repair broken foundations.

Evidence is separated from inference

The report labels confirmed defects, observed patterns and proposed tests separately, giving you a clearer basis for deciding what to implement.

Content quality over repetition

Recommendations focus on useful source pages and better support for claims, not mass-producing near-duplicate location, glossary or question pages.

Works with ongoing SEO

The plan can be delivered alongside technical SEO, content updates and digital PR, with one ownership map used across all workstreams.

Frequently asked questions

What is AI SEO?

AI SEO is the work of making a business and its source content easier for search and answer systems to understand, retrieve and use accurately. It includes technical SEO, entity clarity, evidence, content structure, schema and consistent external signals.

Is AI SEO different from normal SEO?

It has a different measurement focus, but it depends on the same foundations. A page still needs to be crawlable, canonical, useful and relevant. AI SEO adds attention to retrieval, source evidence, entity relationships and visibility within generated answers.

Can you guarantee that an AI system will cite my website?

No responsible consultant can guarantee a citation from a generated system. Models, indexes and answer policies change. We can identify barriers, improve source eligibility, record observations and test whether visibility changes after implementation.

Do I need llms.txt?

It can be a useful discovery and guidance file, but it is not a substitute for crawlable pages, robots rules, sitemaps or useful content. We include it when it accurately represents the public site and can be maintained.

What does an AI visibility audit include?

The scope normally includes a prompt and query baseline, technical retrieval checks, entity consistency, priority source pages, structured data, discovery files, page ownership and a prioritised implementation plan.

How is progress measured?

We combine Search Console data, crawling and indexation checks, query ownership, dated answer observations and improvements to the source pages. Because generated answers vary, single screenshots are not treated as proof of a stable result.