Most brands don't know whether AI systems are citing them, misrepresenting them, or ignoring them altogether. The AI Visibility Audit answers that question, with systematic sampling across up to eight AI platforms, a competitive gap map, a full schema assessment, and a 90-day implementation roadmap your team can execute the day it's delivered.
Why the audit is the right first step
Before investing in GEO consulting, AEO implementation, or citation optimization, you need a baseline. Without one, you are optimizing blindly: fixing schema types that may not matter for your category, or writing content for queries where competitors have structural advantages you haven't yet mapped. The audit eliminates that waste. Every recommendation in the 90-day roadmap is traceable to a specific citation gap it is designed to close.
What the audit delivers
Citation Footprint Baseline
Systematic sampling across up to eight AI platforms, including ChatGPT, Gemini, Perplexity, Copilot, Claude, and Google AI Overviews for your query categories: branded, comparison, category, and problem-statement queries. Your share-of-model score by category, delivered as a measurable baseline.
Competitive Gap Analysis
For every query where a competitor is cited and your brand is not, the gap is identified, classified by type, and ranked by how quickly it can be closed. The 90-day roadmap is built directly from this classification.
Schema & Structured Data Assessment
Every priority page assessed for JSON-LD completeness, validation errors, and missing schema types. Corrected JSON-LD code templates included, ready for your developer to implement on delivery day.
Content Architecture Review
Priority pages assessed for LLM extraction readiness: heading hierarchy, answer-first formatting, Q&A architecture, topic cluster completeness. Specific rewrite guidance included.
Entity Clarity Review
Maps what AI systems currently believe about your brand entity, where those beliefs come from, and what signals need to change to correct or strengthen the description across every platform in the audit.
Crawler Access Verification
Checks robots.txt and related crawler directives against the specific bots each AI platform uses to retrieve and cite content live (training crawlers and search/retrieval crawlers are separate controls), so a well-intentioned block isn't silently removing your brand from the answers being measured.
Source Stack Analysis
Maps the third-party sources AI systems currently draw on when answering questions about your brand and category (publishers, directories, review platforms, structured-data providers) and identifies which corroborating sources are missing, outdated, or underweighted relative to competitors.
90-Day Prioritized Roadmap
Every recommendation compiled into an action table: ranked by citation impact, assigned an implementation owner, and given a realistic hour estimate. Organized Month 1 / Month 2 / Month 3, executable the day it's delivered.
How it works
01. You submit a request. Via the contact form, with no discovery call required. You provide your domain, your three to five primary competitors by domain, and the query categories most important to your business.
02. AI response sampling (Days 1–4). Brainpan.AI runs systematic prompt sampling across up to eight AI platforms, including ChatGPT, Gemini, Perplexity, Copilot, Claude, and Google AI Overviews using your defined query categories. The same protocol used to establish the baseline is used for all future measurement, so progress is directly comparable month-over-month.
03. Technical and content analysis (Days 3–7). Parallel to AI sampling: full schema audit of key pages, content architecture assessment, entity clarity analysis, llms.txt review. Corrected JSON-LD code templates are written during this phase.
04. Report writing and roadmap construction (Days 6–10). All findings synthesized into the written report. Every roadmap action is traceable to a specific citation gap it is designed to close.
05. Delivery. The written PDF report, schema implementation spreadsheet, and 90-day action table are delivered to your inbox within 5–10 business days. An optional 45-minute walkthrough call is included.
Everything included
Platforms audited: Up to eight AI platforms, chosen for your category and named in your scope letter
Competitors analyzed: Up to 5 direct competitors
Query categories sampled: Up to 10, defined by you
Deliverable format: Written PDF report (25–47 pages) + schema spreadsheet + 90-day roadmap action table
JSON-LD code templates: Included, ready for developer implementation
Walkthrough call: Optional 45-minute review call included
Turnaround: 5–10 business days from request
Sales call required: No
Frequently Asked Questions
What advantages does a professional AI Visibility Audit offer?
A professional audit replaces guesswork with a written, benchmarked baseline: a citation footprint across up to eight AI platforms, a competitive gap map against your named competitors, and a prioritized 90-day roadmap, delivered in 5 to 10 business days with no sales call required. Running this in-house means building the multi-engine sampling methodology, the schema and entity-clarity assessment, and the scoring model from scratch before you even have a baseline to act on.
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 up 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 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 audit delivery, not before. There is no obligation to continue beyond the audit.
How is this different from an SEO audit?
A traditional SEO audit measures rankings, crawlability, backlinks, and on-page signals. The AI Visibility Audit measures citation footprint: whether and how AI systems retrieve, describe, and cite your brand inside generated answers. The measurement system, signals, and deliverables are distinct.
Which AI platforms does the audit cover, and can you add others?
The Audit samples up to eight AI platforms, including ChatGPT, Gemini, Perplexity, Copilot, Claude, and Google AI Overviews, chosen for your category. Meta AI, a regional or vertical engine, or a new platform your category depends on can be included or added as a scoped add-on. Because the sampling and reporting work varies by platform, pricing is set per engagement rather than posted as a flat rate; tell us which surface you need and we'll price it for your program.
Request the audit
Written report. 5–10 business days. Citation footprint, competitive gap map, schema assessment, and 90-day roadmap. No sales call required before we start.
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Kevin Walsh
Kevin Walsh is the founder of Brainpan.AI, where he builds the AI Visibility Engine, GEO/AEO strategy, schema systems, and citation optimization programs for brands that need to be retrieved, cited, and trusted by AI answer engines.