The AI Visibility Audit: A Complete Checklist for Diagnosing Your Brand's AI Search Gaps

You can't fix what you haven't diagnosed. A thorough AI visibility audit reveals the specific gaps preventing your brand from appearing — and prioritizes where to focus first for maximum impact.

1.1 Direct Mention Test

• [ ] Ask ChatGPT 'What is [Brand]?'
• [ ] Ask Claude 'Tell me about [Brand]'
• [ ] Ask Gemini 'What does [Brand] do?'
• [ ] Ask Perplexity 'What is [Brand]?'
• [ ] Document: Mentioned / Not mentioned / Inaccurate description

1.2 Category Recommendation Test

• [ ] Identify your top 10 category queries
• [ ] Test each across ChatGPT, Claude, Gemini, Perplexity
• [ ] Document: Position when mentioned (1st, 2nd, 3rd, not mentioned)

1.3 Use Case Test

• [ ] Identify your top 5 customer use cases
• [ ] Test '[Use case] — what tool/service should I use?' across all LLMs
• [ ] Document: Appearance rate and position

1.4 Competitor Comparison

• [ ] Ask 'Compare [Your Brand] vs [Competitor 1]'
• [ ] Ask 'What are the best [Competitor 1] alternatives?'
• [ ] Document: Are you mentioned in competitor alternatives?

2.1 Google Business Profile

• [ ] Profile exists and is claimed
• [ ] Category is accurate and specific
• [ ] Description matches website positioning
• [ ] Reviews: Count and average rating

2.2 Key Platform Profiles

• [ ] LinkedIn Company Page: Complete and accurate
• [ ] Crunchbase: Profile exists with accurate founding date, description, funding
• [ ] Wikipedia: Exists / Doesn't qualify yet / Qualifies but doesn't exist
• [ ] Wikidata: Entry exists

2.3 Information Consistency Check

• [ ] Company description: Consistent across all platforms
• [ ] Founding date: Consistent across all sources
• [ ] Team/founder information: Consistent
• [ ] Product description: Consistent

3.1 Schema Markup

• [ ] Organization schema on homepage
• [ ] FAQPage schema on FAQ/support pages
• [ ] Article schema on blog posts
• [ ] HowTo schema on tutorial content
• [ ] Product schema on product pages

3.2 Content Foundation

• [ ] Comprehensive category pillar page exists
• [ ] About page with entity-rich company information
• [ ] Team page with individual credentials
• [ ] Use case pages with specific scenario descriptions

4.1 Coverage Inventory

• [ ] List all editorial mentions in DA70+ publications in past 24 months
• [ ] Identify gaps: Which publications cover your category but haven't covered you?
• [ ] Check competitor coverage: Where are competitors covered that you aren't?

4.2 Coverage Quality

• [ ] Are brand descriptions in coverage accurate?
• [ ] Do articles include key differentiators AI should know?
• [ ] Is coverage recent enough for real-time retrieval? (Past 6 months)

5.1 Competitor Scoring

• [ ] Run AHOD scan for top 3 competitors
• [ ] Document competitor AI Visibility Scores
• [ ] Document competitor Share of Voice
• [ ] Identify which publications are driving competitor AI visibility

5.2 Gap Analysis

• [ ] Which category queries are competitors winning that you're not?
• [ ] Which LLMs show the biggest competitive gap?
• [ ] Which use cases show the biggest competitive gap?

Score each section 1-10:

• Section 1 (AI Presence): Score based on mention rate and position quality
• Section 2 (Entity Data): Score based on completeness and consistency
• Section 3 (Technical): Score based on schema implementation completeness
• Section 4 (Editorial): Score based on coverage volume and recency
• Section 5 (Competitive): Score based on relative position vs. competitors

Average score across sections = your DIY AI Visibility Assessment score. Focus first on the lowest-scoring sections.