AI Search Visibility

AI search visibility

Make your business easier for AI answers to understand — and easier for people to verify.

I help businesses investigate how they appear in AI-assisted search, strengthen the website signals those systems can use, and measure what changes over time.

Discuss your visibility →See the measurement method

No crawl, index, citation, recommendation, traffic, enquiry, or sales outcome is guaranteed.

For
Businesses with an established website and a defined offer
Work
Audit, prioritized improvements, implementation support, and remeasurement
Evidence
Fixed questions, dated observations, citation records, search and index checks, and limitations
Connected disciplines
Technical SEO, entity clarity, useful content, citations, website experience, and measurement

When this service fits

You have a real business and a useful website, but AI answers overlook or misread them.

This work needs an established site, permission to inspect the relevant pages, and enough evidence to distinguish a real gap from an assumption.

  1. 01

    Your business is absent.

    Relevant questions produce competitors, directories, or generic advice but not your business.

  2. 02

    Your identity is unclear.

    An answer confuses people, services, locations, or sources with similar names.

  3. 03

    Your evidence is hard to use.

    Expertise, proof, and service details exist, but are vague, scattered, unsupported, or difficult to verify.

  4. 04

    You cannot tell whether changes helped.

    Checks are ad hoc, personalized, or undocumented, so a later answer cannot be compared fairly with the starting point.

What the work connects

Visibility is a chain, not a single setting.

Each link supports the next. None gives control over an external answer engine.

  1. Access

    Review crawlability, indexability, canonical signals, internal links, and the useful pages available to search and answer systems.

  2. Understanding

    Align the business identity, services, people, locations, page structure, and structured data with visible facts.

  3. Evidence

    Strengthen original, useful content and traceable proof; identify where independent corroboration is needed.

  4. Observation

    Test fixed brand and buyer questions in clean contexts, record citations and limitations, and compare like with like over time.

External control begins here

Search and AI systems decide whether to crawl, index, retrieve, cite, summarize, recommend, or send a visit. A visitor decides whether to enquire.

What you receive

A practical improvement plan with an evidence trail.

Deliverables are agreed to fit the site, available access, and the decisions the evidence needs to support.

Baseline and question map

Agreed brand, service, problem, proof, and location questions; products, market, language, date, and account context recorded before changes.

Technical and entity audit

Findings across crawling, indexing, canonicalization, internal linking, page meaning, business identity, service clarity, and structured data.

Content and citation plan

Priority pages and proof gaps organized around genuine buyer questions, with unsupported claims excluded.

Implementation support

Agreed improvements to templates, links, metadata, schema, visible content, and measurement without treating one file or markup type as a shortcut to citations.

Evidence pack and remeasurement

Dated prompt outcomes, recommendation order, citation URLs, search and index observations, limitations, and a comparable follow-up view.

Engagement model: Scope can stop after the audit and roadmap or continue into an agreed implementation and remeasurement phase. Scope, timing, access, and cost are agreed before work begins.

Evidence, not anecdotes

The method fixes the questions before judging the answers.

The workflow uses a frozen prompt set covering brand, specialty, problem, industry, location, and proof questions. Each stable question is repeated in a fresh conversation.

Results are time-bounded observations. Products, models, sources, interfaces, personalization, and access can change.

  • FreezeQuestion, product, visible mode, account state, market, language, and date before testing.
  • ObserveUse fresh conversations and record outcome, recommendation order, citations, and limitations.
  • VerifyTrack signed-out search prominence and authenticated index coverage separately where access allows.
  • GateReport a score or comparison only after the agreed evidence threshold is met. Mark missing access unavailable; flag wrong-person results.
  • RepeatLog interventions and rerun the unchanged protocol after an agreed interval.

Current observation examples include ChatGPT, Gemini, Microsoft Copilot, and Perplexity, plus Google and Bing search signals. These are examples, not partnerships or guaranteed coverage.

What this does not promise

Better evidence and eligibility, not control over an answer engine.

  • No guaranteed crawl, indexing, citation, ranking, recommendation, traffic, enquiry, or sales result.
  • No claim of partnership, certification, privileged access, or control over named platforms or their models.
  • No claim that llms.txt, crawler access, structured data, or a new article alone will produce citations.
  • No fabricated statistics, reviews, case studies, expertise, or mass-produced pages created only to mention a keyword.
  • No benchmark score published before the evidence threshold is met.
  • No substitution of assistant output for verified professional credentials, project ownership, or business results.

Proof and next steps

Inspect the method, the website evidence, and the person doing the work.

The portfolio verifies credited website roles. It does not claim AI-search outcomes. A dedicated case study will be linked only after its evidence and publication checks are complete.

Frequently asked questions

What buyers usually need clarified first.

Is AI search visibility the same as SEO?

It overlaps with SEO but is not a replacement for it. Technical access, indexable pages, clear entities, useful content, credible citations, and a usable website support both. AI-answer observation adds controlled prompt testing and citation review.

Can you guarantee that ChatGPT or another AI system will cite or recommend us?

No. External systems control crawling, indexing, retrieval, citation, summaries, and recommendations. The service improves eligible signals and documents what is observed; it cannot guarantee an outcome.

Which platforms do you measure?

The current workflow can observe examples including ChatGPT, Gemini, Microsoft Copilot, and Perplexity, plus Google and Bing search and index signals where access allows. The agreed scope records the exact products, modes, market, language, and dates used.

What do I need before starting?

A real business identity, a defined offer, an established website, permission to review the relevant pages, and access to available search, analytics, or indexing evidence. If proof is missing, the plan records the gap instead of inventing it.

How is progress measured?

We freeze the questions and test conditions, save dated outcomes and citations, verify search and index evidence separately, log interventions, and repeat the same protocol after an agreed interval.