Executive scan: Most CMOs considering an AI visibility engagement have the same question before committing: what will I actually receive? This page answers that question completely — every section, what it contains, and what decision it enables.

The Written Audit Report

The primary deliverable is a written PDF report, typically 25–40 pages depending on the number of competitors analyzed and the complexity of your existing schema layer. It contains five substantive sections and an executive summary designed to be shareable with your leadership team without the full report.

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AI Visibility Audit Report · [Your Brand]
Prepared by Brainpan.AI · Confidential · Delivered within 5–10 business days
Executive Summary pp. 1–3
  • Current AI visibility status — single-page summary
  • Top 3 citation gaps costing the most pipeline opportunity
  • Top 3 immediate actions with estimated impact
  • Investment summary and program options
01 Citation Footprint Baseline pp. 4–10
  • AI response sampling results across all 5 platforms
  • Share-of-model score by query category
  • Citation accuracy assessment — is your brand described correctly?
  • Platform-by-platform citation breakdown
02 Competitive Gap Analysis pp. 11–17
  • Competitor citation rates for your target queries
  • Gap classification: content, schema, or entity authority
  • Fastest-win opportunities — gaps closable in 30 days
03 Schema & Structured Data Assessment pp. 18–24
  • Page-by-page schema audit with validation errors flagged
  • Corrected JSON-LD code templates — ready for developer implementation
  • Missing schema types identified against competitor usage
04 Content Architecture Review pp. 25–31
  • LLM extraction readiness assessment per page
  • Specific rewrite guidance for answer-first formatting
  • Topic cluster gap analysis and llms.txt review
05 Entity Clarity Review pp. 32–36
  • What AI systems currently believe about your brand
  • Inaccurate or outdated descriptions identified
  • Third-party corroboration signal gaps
06 90-Day Prioritized Roadmap pp. 37–40
  • Action table ranked by expected citation impact
  • Owner assigned per action: internal, developer, or specialist
  • Effort estimates in hours, not vague project estimates
  • Measurement plan: how to track citation share improvement over 90 days
  • Month 1 / Month 2 / Month 3 sequenced action plan

What Each Section Answers

Section 01

Citation Footprint Baseline

This is the core measurement that doesn't exist anywhere in your current reporting stack. Using a systematic AI response sampling methodology, Brainpan.AI queries ChatGPT, Gemini, Perplexity, Claude, and Copilot across your defined query categories — category queries, comparison queries, problem-statement queries, and branded queries — and records citation outcomes for your brand and your three to five primary competitors.

The output is a share-of-model score: for each query category, what percentage of AI-generated responses cite your brand. This is your AI visibility baseline — the number against which all future program progress is measured.

Questions this section answers
Is my brand being cited by AI systems for the queries that matter to my business?
Which AI platforms are citing us, and which are ignoring us?
When AI systems do mention our brand, are they describing us accurately?
What is our share of model compared to our top three competitors?
Section 02

Competitive Gap Analysis

For every query where a competitor is being cited and your brand is not, this section identifies what that competitor is doing differently — and whether that gap is closable, and how fast. Some gaps are content architecture gaps (a competitor has a well-structured comparison page you don't). Some are schema gaps. Some are entity authority gaps that require longer-term programs. The roadmap prioritizes based on this classification.

Questions this section answers
Which competitors are winning AI citations for queries we should own?
What specifically are they doing that we aren't?
Which gaps can we close in 30 days vs. 90 days vs. longer?
Where are we closest to winning — the fastest citation gains available?
Section 03

Schema & Structured Data Assessment

Every page of your site that matters to AI citation is assessed for schema completeness, validation errors, and missing opportunities. The section includes corrected JSON-LD code templates — not recommendations to add schema, but actual ready-to-implement code blocks for each page type. Your developer can implement these directly.

Questions this section answers
What schema errors are currently preventing AI extraction from our key pages?
Which schema types are we missing that competitors are using?
What does correct JSON-LD actually look like for our site — can we see the code?
Are our FAQPage, HowTo, and Article schemas extraction-ready?
Section 04

Content Architecture Review

AI systems retrieve content differently from search engines. A page that ranks well in Google may be completely ignored by an LLM if the content is not structured in declarative, extractable chunks. This section assesses your highest-priority pages for LLM extraction readiness — sentence structure, answer-first formatting, Q&A architecture, topic cluster completeness — and provides specific rewrite guidance.

Questions this section answers
Which of our pages are structured in a way that LLMs can actually extract and cite?
What content changes would have the largest impact on citation rates?
Do we have topic cluster gaps that are preventing category authority?
Is our llms.txt deployed correctly and sending the right signals?
Section 05

Entity Clarity Review

AI systems build a model of your brand entity from all available signals — your own structured data, third-party mentions, press coverage, analyst references, social profiles. This section maps what AI systems currently believe about your brand, where those beliefs come from, and what signals need to change to correct or strengthen the description.

Questions this section answers
What does ChatGPT currently say about our company if asked directly?
Are there inaccurate or outdated descriptions circulating in AI systems?
Is our named expert / founder entity correctly established and corroborated?
What third-party signals are we missing that would strengthen entity authority?
Section 06

90-Day Prioritized Roadmap

The roadmap is an action table, not a strategy document. Every recommendation from sections 1–5 is compiled, ranked by expected citation impact, assigned an implementation owner (internal team, developer, or specialist), and given a realistic effort estimate in hours. It is organized into a Month 1 / Month 2 / Month 3 sequence so your team can begin executing the day the audit is delivered — no additional planning required.

Questions this section answers
What should we do first, second, and third — in what order does it matter?
What can our internal team handle vs. what requires specialist implementation?
How long will each action take — actual hours, not vague project estimates?
How do we measure whether the actions are working?

How the Audit Works: The Process

1
01 — Submit

You submit a request

Via the contact form. No discovery call required. You provide your domain, your top three to five competitors by domain, and a brief description of the query categories most important to your business. That's all we need to begin.

2
02 — Sample

AI response sampling (Days 1–4)

Brainpan.AI runs systematic sampling across ChatGPT, Gemini, Perplexity, Claude, and Copilot using your defined query categories. The sampling methodology is consistent and reproducible — the same protocol used to establish the baseline is used for all future measurement, so progress is directly comparable.

3
03 — Analyze

Technical and content analysis (Days 3–7)

Parallel to the AI sampling: full schema audit of your key pages, content architecture assessment, entity clarity analysis, llms.txt review. Corrected JSON-LD code templates are written during this phase.

4
04 — Write

Report writing and roadmap construction (Days 6–10)

All findings synthesized into the written report. The roadmap is constructed by cross-referencing the citation gap analysis with the technical and content findings — every roadmap action is traceable to a specific citation gap it's designed to close.

5
05 — Deliver

Delivery

The written PDF report, the schema implementation spreadsheet, and the 90-day action table are delivered to your inbox. A 45-minute walkthrough call is included if you want to review findings with your team — but the report is designed to stand alone without one.

Everything Included at a Glance

Platforms auditedChatGPT, Gemini, Perplexity, Claude, Copilot
Competitors analyzedUp to 5 direct competitors
Query categories sampledUp to 10 defined by you
Deliverable formatWritten PDF report (25–40 pages) + schema spreadsheet + roadmap action table
JSON-LD code templatesIncluded — ready for developer implementation
90-day roadmapIncluded — sequenced by impact, with effort estimates
Walkthrough callOptional 45-minute review call included
Turnaround5–10 business days from request
Sales call requiredNo

Frequently Asked Questions

How long does the AI Visibility Audit take?

The written audit report is delivered within 5 to 10 business days of engagement. No discovery call is required before the audit begins — you request the audit, provide your domain and primary competitors, and the report is delivered to your inbox.

What do I need to provide to get started?

Your domain URL, your 3 to 5 primary competitors by domain, and the 5 to 10 query categories most important to your business. Everything else — the AI response sampling, schema analysis, content assessment, and roadmap — is handled by Brainpan.AI.

What format is the audit delivered in?

The audit is delivered as a written PDF report with an accompanying spreadsheet for the schema and content recommendations. The 90-day roadmap is delivered as a prioritized action table that can be imported directly into your project management tool.

Is there a sales call required before the audit?

No. You request the audit directly through the contact form. There is no required discovery call or proposal process before the audit begins. The audit itself is the first engagement — it tells both you and Brainpan.AI exactly what the opportunity looks like before any larger program commitment is made.

What happens after the audit?

You receive a complete written report and can execute the 90-day roadmap with your internal team. If you want Brainpan.AI to implement the recommendations, ongoing program options are discussed after the audit delivery — not before. There is no obligation to continue beyond the audit.

Request the audit

Written report. 5–10 business days. Everything above delivered to your inbox — no sales call required before we start.

Request AI Visibility Audit

Published by Brainpan.AI

Brainpan.AI builds AI visibility infrastructure for CMOs, marketing teams, analytics leaders, and SEO teams that need to be retrieved, cited, and trusted by AI answer systems.