A $2,500 fixed-scope audit. Five business days from kickoff to delivery. Written report covering 6-10 AI answer engines against 20-40 buyer-intent queries in your category, a citation-gap roadmap, the structural fixes required (schema, FAQPage, Quick Answer blocks, hreflang, entity graph, bot crawlability), and 30-day implementation priorities.
Built for B2B marketing leaders whose category queries return competitor names in AI answers. Applies to VPs of Marketing, Heads of Growth, founder-CEOs without a CMO, and PE portfolio CMOs.
The AI Visibility Audit is a $2,500 fixed-scope engagement delivered in 5 business days. It probes 6-10 AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Bing Copilot, Yandex Alice, Brave Answer) with 20-40 buyer-intent queries in your category, records which sources each engine cites, and produces a citation-gap roadmap plus structural fix list covering schema, FAQPage, Quick Answer blocks, hreflang, entity graph, and crawlability for GPTBot, ClaudeBot, and PerplexityBot. For B2B companies whose buyers research solutions inside AI engines before opening a browser tab.
The audit scope is fixed on four dimensions: which engines your buyers use, which queries they ask, where competitors get cited and you do not, and which structural signals AI engines use to decide what to extract. This page documents the related diagnostic for the broader pattern at Invisible in AI Answers.
Buyer-intent query set built from paid search data, win-loss language, and comparison queries. 6-10 engines probed per query. Responses, cited sources, and extraction patterns recorded. Competitor citation frequency ranked per engine.
Every query where a competitor is cited and you are not gets a source-page analysis. Schema diff, Quick Answer block check, FAQPage presence, hreflang state, entity-graph signal inventory, and crawlability audit for GPTBot, ClaudeBot, and PerplexityBot.
15-20 page report drafted. 30-day implementation priorities sequenced by visibility impact per hour of effort. Schema spec sheet written. IndexNow submission list produced. 45-minute walkthrough delivered on day 5.
15-20 page written report with per-engine, per-query citation tables, competitor frequency rankings, and category-level AI answer patterns.
Ranked list of pages to build or restructure to close the citation gap, with source-page diffs showing what the cited competitor page does that yours does not.
Exact JSON-LD patterns to deploy per template, covering Service, FAQPage, Product, BreadcrumbList, Article, and entity graph connection to Organization.
Prioritized URL list for IndexNow submission to Bing, Yandex, and Naver, with a llms.txt placement spec and AI-bot crawlability fix list for robots.txt.
Live session covering the citation-gap findings, the 30-day priority sequence, schema deployment questions, and handoff to your content, SEO, or web team.
Top 5-10 implementation priorities sequenced across the next 30 days with expected visibility impact, owner assignment, and a before-and-after measurement protocol.
Twenty-five hundred dollars. Five business days from kickoff. Fixed deliverable set: 15-20 page report, citation-gap roadmap, schema spec sheet, IndexNow submission list, 45-minute walkthrough, 30-day priorities. No retainer requirement. No discovery-call discounting.
The price reflects what the work costs to produce at the quality the deliverable requires. A 5-day turnaround on a structured multi-engine probe plus citation-gap analysis plus structural audit needs dedicated focus from day one. The price sets that expectation on both sides.
The AI Visibility Audit is a $2,500 fixed-scope diagnostic delivered in 5 business days. It probes 6-10 AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Bing Copilot, Yandex Alice, Brave Answer) with 20-40 buyer-intent queries in your category, records which sources each engine cites, and produces a citation-gap roadmap plus a structural fix list covering schema, FAQPage markup, Quick Answer blocks, hreflang, entity graph, and crawlability for GPTBot, ClaudeBot, and PerplexityBot.
Coverage includes ChatGPT (GPT-4 and GPT-4o with browsing), Claude (Anthropic), Perplexity (default and Pro modes), Gemini (Google), Google AI Overviews (SGE), Bing Copilot, Yandex Alice, and Brave Answer. Engine selection is adjusted for your category and buyer geography. If your buyers are in markets where a specific engine dominates, that engine is weighted accordingly in query volume and reporting.
Query construction uses three inputs: the buyer-intent keyword set from your paid search and organic search data, the category framing language used in your sales conversations and win-loss calls, and the comparison and alternative queries that surface in AI answers when a competitor is prompted. The result is 20-40 queries that mirror how an actual buyer would ask an AI engine for a recommendation in your category, not a synthetic keyword list.
For every query where a competitor is cited and you are not, the audit identifies the source page being cited, the schema or structural pattern that qualified it for extraction, the content depth and specificity differential, and the entity-graph signals the engine is using to establish authority. The output is a ranked list of pages to build, pages to restructure, and schema to deploy, sequenced by expected visibility impact per hour of implementation effort.
Built for VPs of Marketing, Heads of Growth, founder-CEOs without a CMO, and PE portfolio CMOs at B2B companies with an existing commercial site, established category terminology, and buyers who research solutions using AI engines before opening a browser tab. Not for pre-revenue startups, companies without a commercial site, or single-location local businesses where AI citation volume is too low to audit reliably.
Two common paths. Your content, SEO, or web team executes the 30-day priorities in-house using the roadmap, schema spec sheet, and IndexNow submission list. Or a scoped engagement handles the structural rebuild, schema deployment, FAQPage and Quick Answer block writing, and entity-graph seeding. Many clients do a mix, with the in-house team handling content and the scoped engagement handling schema and technical structure.
AI Visibility Audit · $2,500 flat · 5 business days · Written report, citation-gap roadmap, schema spec sheet, IndexNow submission list, 45-minute walkthrough, 30-day priorities.