Diagnose

AI Visibility Audit Services.

The baseline before implementation: we test your brand, competitors, and core buying questions across major AI search surfaces, then turn the findings into a prioritized roadmap for citations, page fixes, and measurement.

Updated July 15, 2026

Start with a free snapshot Scope a $2,500 audit

Prompts

Coverage map

Citations

URL tracking

Prompts

Coverage map

Citations

URL tracking

Direct answers

Crawlable answers for the main buyer question.

Each priority service page now exposes a direct answer, proof requirement, related links, and CTA before the deeper sales content.

Question

What is an AI visibility audit?

An AI visibility audit tests whether AI search systems mention, cite, or accurately describe a brand for the questions buyers ask before choosing a vendor. The audit compares brand mentions, competitor mentions, cited URLs, technical crawlability, schema, answer quality, and conversion paths. The outcome is a prioritized roadmap for pages that need clearer answers, stronger proof, better internal links, or technical cleanup.

Use this answer near the top of audit-related pages and pair it with a prompt matrix, cited URL table, and competitor citation notes.

Recommended format

Definition block followed by a short checklist and snapshot CTA.

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Scope a $2,500 audit

What this solves

Useful when AI search is already influencing your buyers.

Convert vague visibility concerns into crawlable pages, answer-ready content, and measurable citation signals.

Prompt coverage map

We build a prompt set around your buyer questions, category terms, competitor alternatives, and problem-aware queries, then document where your brand appears and where it is absent.

Competitor citation comparison

The audit identifies which competitors AI systems currently mention, what pages they cite, and what patterns make those pages easier to trust and summarize.

Technical and content roadmap

You get a prioritized plan covering crawlability, schema, internal links, answer blocks, service pages, FAQs, resource gaps, and measurement setup—with owners and next actions, not slide-deck trivia.

Best fit

When to prioritize this work.

The strongest use cases are commercial pages and buyer journeys where clarity, citations, and trust signals change pipeline quality.

Marketing teams that do not know whether AI engines mention them for category questions.

Companies seeing competitors cited in answer engines while their own site is absent.

Teams that need a prioritized roadmap before committing to a larger AI SEO program.

Deliverables

Implementation-ready outputs.

Each output is designed to become implementation work, not just a recommendation deck.

Prompt inventory

A structured list of brand, category, competitor, problem-aware, and comparison prompts that mirror how buyers ask AI tools for recommendations.

Citation and mention matrix

A page-level view of which AI systems mention the brand, cite the site, cite competitors, or return answers without useful sources.

Opportunity backlog

A prioritized list of technical fixes, page rewrites, missing pages, schema improvements, and internal links ranked by impact and effort.

Measurement baseline

A starting benchmark for prompt coverage, cited URLs, competitor visibility, organic search metrics, and form conversion tracking.

Proof and caveats

What has to be true before the work is credible.

These notes keep answer content grounded in visible evidence and avoid claims that AI systems or buyers cannot verify.

Process

From diagnosis to implementation.

01
Scope the prompt set
Collect services, buyer personas, competitors, locations if relevant, and sales questions that should trigger brand visibility.
02
Test across AI surfaces
Run controlled prompt tests across target AI systems and document answer text, cited URLs, competitors, and missing entity signals.
03
Audit cited pages
Review the pages AI systems trust today and compare their structure, summaries, schema, internal links, and proof against your pages.
04
Prioritize implementation
Group recommendations into crawlability fixes, metadata/schema improvements, answer-block rewrites, new page needs, and analytics work.

Question map

Questions AI Visibility Audit buyers ask before they convert.

Each row turns a real AI Visibility Audit buying question into the page format, proof, and CTA needed to make the answer useful for humans and extractable for AI systems.

Question	Stage	Format	Proof needed	CTA
What does an AI visibility audit include before any implementation work starts?	Evaluation and scoping	A diagnostic answer grouped by prompt testing, competitor evidence, technical access, cited pages, content gaps, and page-level priorities.	Prompt IDs, engine/date observations, brand and competitor mentions, cited URLs, robots/sitemap/schema findings, affected pages, confidence labels, and recommended next actions.	Define competitors, target prompts, and priority pages for the audit scope.
How do you know whether AI search visibility is improving?	Measurement planning	A scorecard explanation that ties prompt coverage, website citations, cited URL quality, AI referrals where available, and form submissions to decisions.	Baseline prompt rows, repeat-test dates, citation status by engine, cited-page inventory, analytics events, landing pages, and lead-source fields.	Set the baseline before rewriting pages.
When is a free visibility snapshot enough versus a paid audit?	Qualification	A decision guide that separates quick signal checks from cases that need competitor analysis, technical review, and implementation planning.	Production website, business category, current concern, priority competitor, target buyer questions, and whether the team needs page-level recommendations.	Use the snapshot for triage; scope an audit when fixes need owners and priorities.

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FAQ

Common questions about AI Visibility Audit.

How long does an AI visibility audit take?

Most audits can be scoped in the first week once target topics, competitors, and conversion goals are clear.

What do you need to start?

We need your website, main services, target audience, priority competitors, and the buying questions your prospects ask before choosing a vendor.

Next step

Find the pages AI engines should cite.

Start with an audit that maps current visibility, competitor citations, and the highest-impact fixes.

Request a snapshot