How to Do an AI Visibility Audit (Step by Step)

Daniel Arons CEO & Co-Founder, Aethon AI

Your brand is being discussed by AI search engines right now — but is the information accurate? An AI visibility audit reveals exactly what ChatGPT, Gemini, Perplexity, Claude, and other AI platforms say about your business, where they get it wrong, and what you can do about it. This step-by-step guide walks you through the complete audit process, from initial discovery to actionable fixes.

What Is an AI Visibility Audit and Why You Need One

An AI visibility audit is a systematic assessment of how AI search engines represent your brand when users ask about your business, your industry, or the products and services you offer. Unlike a traditional SEO audit that focuses on Google rankings and organic traffic, an AI visibility audit examines something fundamentally different: what AI platforms actually say about you when someone asks.

This matters because AI-powered search is changing how people discover and evaluate businesses. When a potential customer asks ChatGPT to recommend a dentist in their area, or asks Perplexity to compare software solutions in your category, the AI’s response may be the first — and only — impression they form of your brand. If that response is inaccurate, incomplete, or missing your business entirely, you’re losing potential customers to a problem you didn’t know existed.

Most businesses have never checked what AI platforms say about them. In our experience monitoring AI search engines across multiple industries, roughly 60% of businesses have at least one significant inaccuracy in how AI describes them — wrong services listed, outdated information, confusion with competitors, or outright fabricated details (known as AI hallucinations).

An AI visibility audit gives you a clear picture of your current state across all major platforms, identifies specific issues to fix, and establishes a baseline you can measure improvement against.

Before You Start: Tools and Preparation

Before diving into the audit, set up your workspace and gather the materials you’ll need. A thorough audit takes two to four hours for most businesses, and having everything ready beforehand will make the process significantly more efficient.

AI platforms to audit

At minimum, audit your visibility across these major AI search platforms:

• ChatGPT (OpenAI) — the largest AI platform by user base
• Google Gemini — integrated with Google Search and rapidly growing
• Perplexity AI — an AI-native search engine gaining significant market share
• Claude (Anthropic) — increasingly popular for research and business queries
• Microsoft Copilot — integrated into Bing search and Microsoft products

If your industry has specialized AI tools or platforms (for example, AI-powered review aggregators in healthcare or legal), include those as well.

Materials to prepare

Gather the following before starting your audit:

• Your official business description (what you tell people your company does)
• A current list of all products and services you offer
• Your complete business NAP (name, address, phone number) as it should appear
• A list of your top three to five competitors
• Your target keywords and the queries you want to rank for
• A spreadsheet or document to record your findings

Setting up your tracking document

Create a spreadsheet with columns for: AI Platform, Query Asked, Response Summary, Accuracy (1-5 scale), Specific Errors Found, and Priority Level. This structured approach ensures consistent evaluation across all platforms and queries, and gives you a clear action plan when the audit is complete.

Step 1: Query AI Platforms About Your Brand

The first step is the most revealing: directly ask each AI platform about your business and record exactly what they say. This immediately exposes inaccuracies, gaps, and potential hallucinations.

Direct brand queries

On each AI platform, ask the following questions and record the full responses:

• “What is [your business name]?”
• “What does [your business name] do?”
• “Tell me about [your business name] and their services”
• “Is [your business name] a good choice for [your primary service]?”
• “What are the pros and cons of [your business name]?”

For each response, evaluate the accuracy on a 1-5 scale: 1 being completely wrong or fabricated, 3 being partially correct with notable errors, and 5 being accurate and comprehensive. Note every specific inaccuracy — wrong founding dates, incorrect service descriptions, attribution of services you don’t offer, confusion with a similarly named business, or fabricated information.

Service and product queries

Next, test whether AI platforms associate your brand with the services and products you actually offer:

• “Who offers [your specific service] in [your area]?”
• “What companies provide [your product category]?”
• “Compare [your product] with [competitor product]”
• “What is the best [your service category] provider?”

This reveals whether you’re being recommended for the right things. You might discover that AI platforms don’t mention you at all for services you specialize in, or worse, recommend you for services you’ve discontinued or never offered.

Reputation queries

Test how AI platforms characterize your reputation:

• “What do customers say about [your business name]?”
• “What are the reviews like for [your business name]?”
• “Has [your business name] had any controversies?”

Pay close attention to whether AI platforms are pulling from current reviews and information or citing outdated data. A business that resolved quality issues two years ago might still be described negatively if the AI’s training data is stale.

Step 2: Audit Your Industry and Competitor Mentions

Beyond your own brand, you need to understand the competitive landscape within AI search. This step reveals how you stack up against competitors in AI recommendations and identifies opportunities to improve your positioning.

Industry category queries

Ask each AI platform broader questions about your industry:

• “What are the best [your industry] companies in [your market]?”
• “How do I choose a [your service type] provider?”
• “What should I look for in a [your product category]?”

Record which businesses are mentioned, in what order, and with what descriptions. If your competitors consistently appear but you don’t, that’s a significant visibility gap that needs addressing.

Competitor comparison queries

Test direct comparisons between your business and competitors:

• “Compare [your business] vs [competitor name]”
• “Which is better, [your business] or [competitor]?”
• “What are the differences between [your business] and [competitor]?”

Note whether the comparison is fair and accurate. Sometimes AI platforms will confidently state differences that don’t exist or get the comparison completely backwards. These are high-priority issues to address because they directly influence purchasing decisions.

Step 3: Evaluate Your Website’s AI Readability

Your website is a primary source of information for AI platforms. If your site isn’t structured for AI comprehension, even accurate information may be missed or misinterpreted.

Content clarity assessment

Review your key pages — homepage, about page, service pages, and top blog posts — through the lens of an AI model. For each page, ask:

• Is there a clear, factual description of what you do within the first 200 words?
• Are your services and products listed with specific, descriptive names?
• Does the content use declarative statements that AI can extract as facts?
• Is the heading hierarchy clear and logical?
• Are key terms and concepts defined explicitly?

Score each page on these criteria. Pages with vague marketing language, missing descriptions, or confusing structure are likely being misinterpreted by AI platforms.

Technical accessibility check

Verify that AI crawlers can actually access your content:

• Check your robots.txt for any blocks on AI user agents (GPTBot, Google-Extended, etc.)
• Verify your key pages render properly without JavaScript (AI crawlers often can’t execute JS)
• Test page load speeds — pages that take more than three seconds may timeout during AI retrieval
• Confirm your sitemap is current and includes all important pages

Step 4: Check Your Structured Data and Schema Markup

Schema markup is one of the most powerful signals for AI platforms. This step evaluates whether you’re providing AI systems with the structured information they need to accurately represent your business.

Schema audit checklist

Use Google’s Rich Results Test or Schema.org’s validator to check each key page for structured data. At minimum, evaluate whether you have:

• Organization schema on your homepage with complete business information
• LocalBusiness schema (if you have physical locations) with accurate address and hours
• FAQPage schema on pages that answer common questions
• Product or Service schema on your offering pages
• Article schema on your blog posts with correct author and date information
• BreadcrumbList schema to help AI understand your site hierarchy

For each schema type present, verify that the information is current and accurate. Outdated schema data — like an old address or discontinued service — can actively harm your AI visibility by providing AI platforms with incorrect information in a highly trusted format.

Schema completeness score

Rate your schema implementation on a scale of 1-5:

• 1 — No schema: No structured data on any page
• 2 — Minimal: Basic Organization schema only
• 3 — Moderate: Organization plus one or two additional types
• 4 — Strong: Comprehensive schema across all key pages
• 5 — Excellent: Full implementation with regular updates and validation

Most businesses we audit score a 1 or 2. Moving to a 4 or 5 typically produces measurable improvements in AI visibility within 60-90 days.

Step 5: Assess Your Entity Consistency Across the Web

AI platforms build their understanding of your business from information across the entire web, not just your website. Inconsistencies in how your business is described across different platforms confuse AI models and reduce the accuracy of their representations.

Cross-platform consistency audit

Check your business information on these key platforms and note any discrepancies:

• Google Business Profile: Business name, address, phone, hours, categories, description
• LinkedIn company page: Company description, employee count, industry, specialties
• Yelp and review platforms: Business details, category listings, service descriptions
• Industry directories: Company profiles, service listings, contact information
• Social media profiles: Bios, descriptions, and business details
• Crunchbase/Bloomberg (if applicable): Company information, funding, leadership

Create a master comparison document that shows your business information as it appears across all platforms. Highlight any inconsistencies — different phone numbers, outdated addresses, varying descriptions of what you do, or incorrect employee counts. Each inconsistency is a potential source of AI confusion.

Citation and mention quality

Beyond your own profiles, search for third-party mentions of your business. These might include news articles, blog posts that mention you, podcast appearances, or industry reports. Check whether these mentions accurately describe your business. Inaccurate third-party content can influence AI representations just as much as your own website.

Step 6: Score Your Findings and Prioritize Fixes

Now that you’ve completed the data gathering, it’s time to consolidate your findings into an actionable scorecard that prioritizes the issues with the greatest impact on your AI visibility.

Overall AI visibility score

Calculate your overall score by averaging your ratings across these five dimensions:

• Brand accuracy (Step 1): How accurately do AI platforms describe your business?
• Competitive positioning (Step 2): How visible are you compared to competitors in AI recommendations?
• Website AI readability (Step 3): How well does your website communicate with AI systems?
• Structured data maturity (Step 4): How comprehensive is your schema markup implementation?
• Entity consistency (Step 5): How consistent is your business information across the web?

Average these five scores for your overall AI visibility score on a 1-5 scale. In our experience, most businesses score between 1.5 and 2.5 on their first audit. Businesses that have actively optimized for AI visibility typically score 3.5 or above.

Priority matrix for fixes

Not all issues are equally urgent. Prioritize your fixes based on impact and effort:

Fix immediately (high impact, low effort): Incorrect business information on your own profiles, outdated schema data, factual errors on your homepage, robots.txt blocks on AI crawlers.

Fix this week (high impact, moderate effort): Missing Organization or FAQPage schema, vague homepage copy that AI can’t parse, major inconsistencies across platforms.

Fix this month (moderate impact, higher effort): Comprehensive schema implementation across all pages, content restructuring for AI readability, third-party citation corrections.

Ongoing optimization (sustained effort): Regular content publishing to build entity authority, monitoring AI responses for new inaccuracies, competitor visibility tracking.

What to Do After Your Audit

An audit is only valuable if it leads to action. Here’s how to turn your findings into measurable improvements in AI visibility.

Create your 30-day action plan

Take your prioritized list of fixes and schedule them across the next 30 days. Focus the first week on the highest-impact, lowest-effort items — typically correcting inaccurate business information and implementing basic schema markup. These quick wins often produce visible improvements in AI responses within two to four weeks.

Establish a monitoring cadence

Set a recurring calendar reminder to re-run your brand queries on all AI platforms at least monthly. AI platforms update their knowledge regularly, and new issues can emerge even after you’ve fixed existing ones. Monthly monitoring ensures you catch problems quickly.

If you’re using an AI visibility monitoring platform, set up automated alerts for changes in how AI platforms describe your business. This gives you real-time awareness of any new inaccuracies or shifts in competitive positioning.

Plan your next audit

Schedule a full audit every quarter. Your first audit establishes a baseline. Subsequent audits measure progress, identify new issues, and help you refine your AI visibility strategy based on what’s working and what isn’t.

AI search is evolving rapidly, with new platforms launching and existing ones updating their capabilities regularly. A quarterly audit cadence ensures your optimization strategy keeps pace with the changing landscape.

Start Your AI Visibility Audit Today

The hardest part of an AI visibility audit is starting. Most businesses put it off because they don’t realize there’s a problem — until a potential customer mentions something inaccurate that an AI told them. Don’t wait for that moment.

Set aside two to four hours, follow the steps in this guide, and get a clear picture of your current AI visibility. The insights you uncover will likely surprise you — and the fixes will give you a significant competitive advantage in the rapidly growing world of AI-powered search.