AI Visibility Audit
See How AI Sees Your Brand
A white-label AI Visibility Audit that measures your client’s brand presence across ChatGPT, Perplexity, Bing AI, and Google AI Overviews. We analyze citations, sentiment, and share of voice — benchmark against competitors — and deliver a clear roadmap to increase visibility in AI-driven search. AEO and GEO, covered.
Audit Scope
Six Dimensions of AI Visibility.
AI Search Presence
Brand Visibility Across AI Platforms
How AI search engines reference your client’s brand when users ask category-relevant questions. Tested across ChatGPT, Perplexity, Bing Copilot, Google AI Overviews, and Gemini with structured prompt sets.
Citation Analysis
Brand Mentions and Source Attribution
Frequency, accuracy, and context of brand citations in AI-generated responses. We track whether AI models reference the brand directly, link to the website, or attribute authority to the content.
Competitor Benchmarking
Share of Voice vs. Competitors
Side-by-side comparison of your client’s AI visibility against 3 to 5 direct competitors. Measures citation frequency, positioning, sentiment, and category authority across every AI platform audited.
Content Authority
How AI Interprets Your Content
Analysis of how AI models interpret, summarize, and represent the client’s website content. Identifies gaps where content exists but AI ignores it — and opportunities where content restructuring improves visibility.
AI Crawlability
llms.txt and Technical Signals
Audit of AI crawler accessibility — including llms.txt deployment, robots.txt directives for AI bots, structured data compatibility, and content format optimization for AI engine consumption.
Sentiment and Positioning
How AI Talks About the Brand
Evaluation of sentiment, tone, and positioning when AI platforms mention the brand. Identifies whether AI presents the brand as a leader, a follower, a neutral option, or does not mention it at all.
How We Audit
AI Engines. Structured Prompts. Expert Analysis.
We query every major AI platform with structured prompt sets designed to surface how brands appear in real-world AI search scenarios. Then our team interprets the data — separating signal from noise — and delivers findings your agency can act on.
Platforms and Tools We Use
- ChatGPT (GPT-4 and GPT-4o)
- Perplexity AI
- Bing Copilot
- Google AI Overviews
- Google Gemini
- Google Search Console
- Google Analytics 4
- Custom AI Prompt Frameworks
What We Typically Find
The Blind Spots AI Reveals
Critical
Brand is completely absent from AI responses in the client’s core category. Competitors are cited instead.
Examples: AI platforms recommend 3 to 5 competitors but never mention the client’s brand, llms.txt is missing entirely, AI crawlers are blocked by robots.txt directives, no structured data for AI consumption
High
Brand appears in some AI responses but with inaccurate information, negative sentiment, or significantly lower share of voice than competitors.
Examples: AI attributes outdated pricing or discontinued services, brand is mentioned but positioned below competitors, sentiment is neutral or negative despite positive reviews, inconsistent brand representation across platforms
Medium
Brand has some AI visibility but is missing opportunities for stronger positioning and citation frequency.
Examples: Content exists but is not structured for AI consumption, FAQ and knowledge base content not surfacing in AI answers, missing schema markup that could improve AI understanding, llms.txt present but incomplete or misconfigured
Beyond the Audit
We Do Not Just Audit AI Visibility. We Improve It.
Most agencies receive an AI visibility report and then struggle to act on it. We offer a full optimization path — from content strategy adjustments and structured data improvements to ongoing monitoring that tracks progress across every AI platform.
Audit Only
You receive the complete AI Visibility Audit and your team handles optimization. We are available for questions and clarification.
- AI Audit Insights Report
- Brand Performance Report
- Competitor Benchmarking
- llms.txt deployment
- Action roadmap
Audit + Optimization
We run the audit AND execute the optimization strategy. Your agency delivers measurable AI visibility improvements to your client.
- Everything in Audit Only
- Content strategy for AI optimization
- Structured data improvements
- AI crawlability enhancements
- Monthly AI visibility monitoring
- Progress reports with trend analysis
What You Receive
A Clear Picture of AI Visibility
Not a vague summary of AI trends. A structured, data-driven report showing exactly where the brand stands in AI search — with competitive benchmarks, scored metrics, and a prioritized action plan your agency can present to the client.
AI Audit Insights Report
How AI tools currently interpret, cite, and represent the brand — with screenshots, examples, and visibility scores across every platform audited
Brand Performance Report
Competitor benchmarking with share of voice, citation frequency, and authority presence — showing where the brand leads and where it trails
Scoring Framework
Consolidated KPIs measuring Share of Voice, Brand Visibility, Sentiment, and Brand Mentions — giving the client a clear benchmark to track progress
Action Roadmap
Prioritized recommendations for increasing AI visibility — from content restructuring and llms.txt optimization to structured data and authority building
The Process
How We Run the Audit
Every AI Visibility Audit follows a structured, repeatable process. We define the scope, run the analysis, and deliver a complete report — typically within 1 to 2 weeks.
01
Scope and Setup
Day 1-2
We define the target brand, identify 3 to 5 competitors, build the structured prompt sets, and deploy the llms.txt file on the client’s domain.
02
AI Platform Analysis
Day 3-7
We run structured queries across ChatGPT, Perplexity, Bing Copilot, Google AI Overviews, and Gemini. Every response is logged, scored, and categorized.
03
Analysis and Report
Day 8-10
We compile findings into the AI Audit Insights Report and Brand Performance Report. Competitor benchmarks, share of voice metrics, and action roadmap included.
04
Deliver and Review
Day 10-14
We deliver the complete audit package and walk through findings with your team. Questions, clarifications, and next steps are covered in a review session.
Before We Start
What We Need From You
To run an accurate AI Visibility Audit, we need a few things from your team. Most clients have everything ready within a day.
Client Website URL
The primary domain we will analyze for AI visibility. If the client has multiple domains, let us know which one to prioritize.
Competitor List
3 to 5 direct competitors for benchmarking. If you are not sure who to include, we can help identify the right set based on the client’s industry.
Domain Access
FTP or CMS access to deploy the llms.txt file on the client’s domain. We handle the file creation — we just need the ability to place it at the root.
Pricing
Custom Quoted for Every Project
Every AI Visibility Audit is scoped based on the number of competitors, the complexity of the brand’s digital presence, and whether you choose Audit Only or Audit + Optimization.
For pricing, contact us with the client’s URL and competitor list. We will provide a custom quote within one business day.
See Our Work
Preview a Sample AI Visibility Audit
See exactly what your client receives. Browse a complete AI visibility audit — every AI platform analyzed, every brand mention tracked, every optimization opportunity mapped.
Questions
Frequently asked questions about AI Visibility Audits
An AI Visibility Audit analyzes how your client’s brand appears in AI-driven search platforms like ChatGPT, Perplexity, Bing Copilot, Google AI Overviews, and Gemini. It measures brand mentions, citation frequency, sentiment, and share of voice — then benchmarks performance against competitors and delivers actionable recommendations.
AEO (Answer Engine Optimization) focuses on getting your brand cited in AI-generated answers. GEO (Generative Engine Optimization) focuses on influencing how generative AI models represent your brand in their outputs. Both aim to increase visibility in AI search, but they target different aspects of how AI systems select and present information.
Typically 1 to 2 weeks. This includes access setup, llms.txt deployment, AI platform analysis across multiple engines, competitor benchmarking, and report delivery with recommendations.
We audit visibility across ChatGPT, Perplexity, Bing Copilot, Google AI Overviews, and Gemini. We run structured prompt sets across each platform to measure how your client’s brand is being referenced, cited, or omitted.
An llms.txt file is placed at the root of a domain to define how AI crawlers interact with website content. It helps AI engines understand what content to reference and how to represent the brand. We create and deploy this file as part of every AI Visibility Audit.
Yes. We offer an Audit + Optimization option where we execute the recommendations — from content strategy adjustments and structured data improvements to ongoing AI visibility monitoring. Your agency delivers the results; we do the work.
Find Out How AI Sees Your Client’s Brand.
Send us the client’s URL and a list of competitors. We will run the full AI Visibility Audit and deliver a scored report with competitive benchmarks — ready for your agency to present.