AI search visibility diagnostic

See how AI answer engines describe, compare, and source your business.

I test the questions a buyer asks before they know your name, preserve the underlying answers and cited URLs, and turn the strongest gaps into a practical action plan. Start with the free Snapshot when you only need an initial signal.

Request the AI Visibility Audit Start with the free Snapshot

Direct answer

The audit explains where visibility is being won or lost—and what the evidence can support.

An AI Visibility Audit is a fixed-scope review of agreed buyer questions across selected AI answer products. It records whether the business is absent, mentioned, recommended, or cited; which competitors appear; how each company is described; and which visible sources support the answer. The result is a dated evidence set and a prioritised action plan, not a universal visibility score or a promise that a platform will recommend the business.

Related work

One technical problem often crosses several systems.

The capabilities page shows the other ways I can help and the case studies behind them.

When this helps

Useful when the team needs more than a screenshot, but is not ready to fund implementation blindly.

Buyers use ChatGPT, Google AI experiences, Copilot, Perplexity, or similar products to compare providers in your category.
The company appears for its own name but is missing from non-branded recommendation questions.
Competitors are selected or cited and the team does not know which public evidence gives them an advantage.
Descriptions of the business are incomplete, inconsistent, outdated, or attached to the wrong sources.
The team needs a baseline before investing in GEO, SEO, content, profiles, or monitoring software.

What it is not

The audit cannot buy placement or make unstable answer systems deterministic.

A guarantee that a model will mention, rank, recommend, or cite the business.
A single vanity score that merges unlike products, questions, and source behaviours.
Bulk directory submissions, manufactured mentions, fake reviews, or undisclosed paid links.
Ongoing monitoring presented as a one-time diagnostic.
A replacement for customer research, analytics, sales evidence, or sound SEO foundations.

What the work covers

The full audit keeps the buyer question, answer, competitor, and source evidence together.

We agree the market, audience, products, and question set before testing. The report preserves the evidence behind each conclusion so the team can challenge the interpretation and repeat the method later.

Buyer-question set

Discovery, evaluation, comparison, trust, and risk questions written without forcing the company name into the prompt.

Answer and competitor record

Dated answers, platform context, business presence, recommendation position, description accuracy, and the companies selected instead.

Source and evidence map

Visible cited URLs, recurring domains, owned-page coverage, third-party corroboration, and claims the answer can or cannot verify.

Prioritised action plan

The smallest justified fixes across technical discovery, entity clarity, source content, public profiles, and legitimate citation work.

Compare the options

The Snapshot, Audit, implementation, and monitoring have different jobs.

Option	What you receive	Use it when
Free AI Visibility Snapshot	A small sample of buyer questions with a dated note on mentions, competitors, and visible sources.	You need an initial signal before deciding whether a full diagnostic is justified.
AI Visibility Audit	An agreed question set, preserved answers, competitor and citation analysis, evidence gaps, and a prioritised action plan.	The decision needs enough evidence to direct budget and implementation.
GEO & SEO citations	Technical cleanup, entity architecture, source pages, profile alignment, and legitimate external-source work.	The evidence gaps are known and the team is ready to improve the source system.
Monitoring platform	Repeated collection, trend reporting, prompt management, and team workflows at larger scale.	The method is understood and manual repetition has become the constraint.

How the work runs

Define the decision, preserve the evidence, then recommend only what the answers justify.

Frame the buying decision

Choose the audience, market, category, constraints, competitors, and AI products that matter to the business.

Run and record the questions

Use stable prompts, save complete dated answers, and separate absence, mention, recommendation, and citation.

Inspect competitors and sources

Compare descriptions, cited URLs, entity consistency, source coverage, and claims that can be independently verified.

Choose the next action

Rank the smallest defensible fixes, document limitations, and leave the team with a baseline it can repeat.

Sources

Platform guidance sets the measurement boundaries.

OpenAI — publishers and developers FAQ

OpenAI documents OAI-SearchBot controls and referral tracking for linked ChatGPT search results.

Google Search — AI features and your website

Google explains that existing SEO requirements and controls apply to AI features; eligibility does not guarantee appearance.

Bing Webmaster — AI Performance

Bing reports cited URLs and grounding queries while keeping citation counts distinct from ranking or authority.

Relevant work

The method is already visible in the 42 Portugal case study.

The 42 Portugal Search Visibility case study documents a dated sample of 956 AI answers across 25 Portuguese questions, the sources used, category gaps, and the limits of the measurement. It is evidence of the method—not a promise that another market will produce the same result.

FAQ

Questions about the AI Visibility Audit and free Snapshot.

What is included in the free AI Visibility Snapshot?

The Snapshot is a deliberately small sample of buyer questions. It records whether the business appears, which competitors are selected, and which visible sources support the answers. It is an initial signal, not a complete audit, strategy, or recurring monitoring service.

How is the paid Audit different from the free Snapshot?

The Audit begins with an agreed decision and question set, preserves the complete evidence, compares competitors and cited sources, checks description accuracy, and prioritises the next actions. The Snapshot only helps decide whether that deeper work is warranted.

Which AI products do you test?

The scope follows the audience and market. We agree the relevant products before testing rather than treating every answer engine as equally important or directly comparable.

Can you guarantee that our company will be recommended or cited?

No. The audit can identify technical, entity, content, and source gaps. Each platform controls crawling, retrieval, ranking, answer generation, and source selection.

Is this the same as the AI Opportunity Audit?

No. The AI Visibility Audit examines how external answer engines describe, compare, and source the business. The AI Opportunity Audit examines an internal workflow and decides whether AI, simpler software, or a process change is justified.

Is this the same as GEO & SEO citations?

No. The Audit diagnoses the visibility and evidence gaps. GEO & SEO citations is implementation work that strengthens technical discovery, entity clarity, source pages, public profiles, and legitimate third-party records.

Do we need monitoring software first?

Usually not. Start with a question set and evidence model you understand. Software becomes useful when the number of markets, products, competitors, questions, and reporting cycles makes manual repetition difficult.

A diagnostic before implementation

Bring the buyer questions where your company should be considered—but currently is not.

I will confirm whether the full Audit is justified. If the evidence gap is still unclear, start with the free Snapshot instead.

Request the AI Visibility Audit Start with the free Snapshot