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AI VISIBILITY AUDIT

See how your brand
appears in AI Search.

Understand where you appear, how you are described, which competitors surface and what deserves attention next.

Before investing in optimization, establish a practical baseline around customer questions, platform visibility, brand representation and observable sources.

  • Direct specialist review
  • Business-specific questions
  • Prioritised next steps

WHAT THE AUDIT INVESTIGATES

Six questions behind a useful baseline.

The audit reviews selected answer patterns and the information supporting them. These are investigation areas, not universal AI ranking factors.

Brand visibility

Where the brand appears, where it is absent and how consistently it surfaces.

Prompt coverage

Commercial, comparison, local, category and research questions shaped around your market.

Competitor patterns

Which businesses appear instead, and the categories or questions where they are clearer.

Brand representation

How the business, services, locations and expertise are described across observed answers.

Sources and evidence

Visible citations, references and supporting information where platforms expose them.

Priority gaps

The content, entity, authority, internal-link and measurement gaps worth addressing first.

FROM QUESTION TO PRIORITY

A search-first audit shaped around your business.

Customers ask for recommendations, comparisons, providers and advice. The audit begins with those real discovery situations.

  1. 01

    Define the research scope

    Agree the services, audiences, markets, competitors and platforms that matter.

  2. 02

    Observe and compare

    Review selected questions, brand descriptions, competitor patterns and visible sources.

  3. 03

    Prioritise the response

    Separate useful improvements from low-value activity and agree the next decisions.

See the DAAOMI methodology
AI visibility audit research workspace showing an answer interface, source notes and business information cards
Relevant questions, observable evidence and a practical route forward.

WHAT YOU CAN TAKE AWAY

Findings your business can act on.

The exact depth follows the agreed scope. The aim is a decision-ready view of what is visible, unclear or missing.

Visibility baseline

A structured view of observed brand presence across the agreed question set and platforms.

Prompt observations

Notes from questions based on your services, audience, geography, competitors and buying intent.

Competitor comparison

Clear examples of where competing brands are represented more often or more accurately.

Prioritised next actions

A practical sequence for content, entities, authority, sources, measurement or platform work.

SELECTED AI ENVIRONMENTS

Compare patterns, not one isolated answer.

Platform coverage follows the market and audience. The audit does not assume every AI system behaves or exposes sources in the same way.

AI answers can vary by prompt, timing, user context and platform changes. The audit records observed patterns and does not promise a permanent position, recommendation or citation.

Himanshu Swaraj, AI Search expert and SEO consultant

DIRECT REVIEW BY HIMANSHU

A specialist audit, not a software export.

I connect the observed AI Search findings with your wider SEO, content, brand and measurement context. You can discuss the evidence, the priorities and what is realistically worth doing next with the person who reviewed it.

Direct accessNo account-manager handoff.
Business contextScope follows your market and goals.
Flexible next stepImplement internally or discuss support.

BEFORE YOU REQUEST AN AUDIT

Practical answers about scope and outcomes.

AI Search measurement is still evolving. These answers keep the work grounded in what can be observed and acted on.

Discuss your audit
What is an AI Visibility Audit?

It is a structured review of how your business appears for an agreed set of customer questions across selected AI search environments. It compares brand presence, representation, competitors, sources and priority gaps.

How is this different from an SEO audit?

An SEO audit mainly reviews website and search-engine factors. This audit starts with observed AI answers and connects those findings back to content, entity clarity, authority, sources and existing SEO foundations.

Which AI platforms are reviewed?

The scope may include ChatGPT, Gemini, Perplexity, Claude and Microsoft Copilot. Platform selection follows your audience, market and agreed research scope rather than using every platform by default.

How are the questions selected?

Questions are based on your services, audiences, locations, competitors and customer decision journey. The aim is to reflect useful commercial discovery, not produce a generic keyword list.

Will the audit guarantee recommendations or citations?

No. AI platforms control their answers and may vary by context or over time. The audit documents observed patterns and recommends practical improvements; it cannot guarantee inclusion in future answers.

What will I receive?

The agreed output normally includes a visibility baseline, prompt observations, competitor patterns, representation findings and prioritised next actions. Exact depth depends on business and market scope.

Do I need this if I already invest in SEO?

Possibly. Strong SEO is useful, but it does not by itself show how AI systems describe or recommend your business. The audit helps determine whether additional work is justified.

What happens after the audit?

You can implement the priorities internally, with your existing agency, or discuss a defined optimization project with Himanshu. The audit does not lock you into ongoing work.

START WITH EVIDENCE

Find out what your business should improve first.

Share your website and goal. We can decide whether an audit, a focused project or another starting point makes sense.