AI Brand Audit: How to Check and Control What ChatGPT Says About Your Business

Quick Answer

An AI brand audit involves systematically querying ChatGPT, Gemini, Perplexity, and Claude with questions about your business and documenting the results. You're looking for: accuracy of information, frequency of mentions, positioning vs competitors, and brand sentiment. Once you have a baseline, Generative Engine Optimisation (GEO) is the discipline of improving these results over time. VGraple offers free AI brand audits for Indian businesses.

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Why You Need an AI Brand Audit Now

AI assistants are rapidly becoming the first point of contact between potential clients and information about your business. Consider:

• A Mumbai-based manufacturer asks Gemini: "Is [your company] a reliable [service] provider?"
• A UK enterprise client asks ChatGPT: "Tell me about [your company] in Ahmedabad"
• A startup founder asks Perplexity: "Who are the top web design agencies in India?"

In each case, the AI generates a response based on what it knows - or thinks it knows - about your business. If that information is wrong, outdated, or missing, you lose the inquiry. The AI brand audit reveals exactly what's happening.

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The 5 AI Models to Audit

Run your audit across all five major AI platforms, as each uses different training data and has different knowledge:

1. ChatGPT (GPT-4o) - chat.openai.com - largest user base, training data through early 2024
2. Google Gemini - gemini.google.com - integrated into Android and Google Workspace
3. Perplexity AI - perplexity.ai - searches live web, cites sources, updating rapidly
4. Claude (Anthropic) - claude.ai - different training data, popular with tech-savvy users
5. Microsoft Copilot - copilot.microsoft.com - integrated into Edge, Bing, and Microsoft 365

Each may give a completely different answer about your business. Documenting all five gives you a complete picture.

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The AI Brand Audit Query Set

Run these 8 queries on each AI model and record the responses verbatim:

1. "What do you know about [Company Name]?" - Looking for: basic awareness, accuracy of description
2. "What does [Company Name] do and who are their clients?" - Looking for: service accuracy, client type recognition
3. "When was [Company Name] founded and where are they located?" - Looking for: founding year accuracy, location accuracy
4. "What are the best [your service category] companies in [your city]?" - Looking for: whether you appear in category recommendations
5. "Who are the top digital marketing agencies in [your city/country]?" - Looking for: competitive positioning
6. "Is [Company Name] a good choice for [your primary service]?" - Looking for: positive/neutral/negative sentiment, credibility signals
7. "What are [Company Name]'s specialities?" - Looking for: accuracy of service descriptions, expertise recognition
8. "How does [Company Name] compare to [main competitor]?" - Looking for: comparative positioning, competitive weaknesses

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How to Score Your AI Brand Audit

Use this scoring framework for each query across each AI model:

Brand Awareness Score (0–3)

• 0: AI has no knowledge of brand
• 1: AI knows brand exists but limited information
• 2: AI has moderate information, some inaccuracies
• 3: AI has comprehensive, accurate information

Accuracy Score (0–3)

• 0: Major inaccuracies (wrong location, services, or year)
• 1: Minor inaccuracies in secondary details
• 2: Mostly accurate with small gaps
• 3: Fully accurate, complete information

Category Position Score (0–3)

• 0: Not mentioned in category queries
• 1: Mentioned but not prominently
• 2: Mentioned as one of several options
• 3: Recommended as a top choice

Maximum score: 9 per model × 5 models = 45 points total

Score interpretation:

• 35–45: Excellent AI brand presence
• 25–34: Good, with specific gaps to address
• 15–24: Moderate - significant GEO improvement needed
• 0–14: Minimal AI brand presence - urgent GEO strategy required

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Common AI Brand Audit Findings for Indian Businesses

Based on VGraple's audits of Indian SMEs, the most common issues are:

1. Complete Brand Invisibility

Finding: AI has no knowledge of the brand.

Cause: Business doesn't appear in authoritative sources AI was trained on.

Fix: Entity building (Knowledge Panel, Wikidata), authority citations, llms.txt.

2. Wrong Location

Finding: AI thinks business is in a different city.

Cause: Inconsistent NAP across web directories; main website doesn't prominently state location.

Fix: NAP consistency audit across all directories; add LocalBusiness schema.

3. Outdated Service Descriptions

Finding: AI describes services from 3–5 years ago (old website content that AI crawled).

Cause: Old web pages still indexed and weighted by AI training data.

Fix: Update all web properties consistently; publish authoritative current content.

4. Missing from Category Recommendations

Finding: AI recommends competitors but not your business for category queries.

Cause: Competitors have stronger entity signals and authority citations.

Fix: Competitive GEO analysis and authority building targeting competitor gaps.

5. Confused with Another Business

Finding: AI confuses your business with a similarly named company.

Cause: Brand disambiguation is insufficient in training data.

Fix: Build stronger unique entity signals (unique taglines, brand identifiers, Knowledge Panel).

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After the Audit: Prioritising GEO Actions

Once you have audit results, prioritise actions based on severity:

Critical (fix immediately):

• Wrong location or contact information appearing in AI answers
• Brand confused with another company
• Negative or misleading information about your business

High priority (fix within 1 month):

• Outdated service descriptions
• Missing from category queries despite being well-established

Medium priority (fix within 3 months):

• Incomplete service coverage
• Missing from some AI models but present in others
• Weaker positioning vs competitors

Long-term (ongoing GEO programme):

• Digital PR for authority citations
• Wikidata and Knowledge Panel building
• AI output monitoring

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Tools for AI Brand Auditing

Manual audit tools (free):

• All 5 AI platforms listed above (most offer free tiers)
• Google Alerts for brand mention monitoring
• Mention.com for online brand monitoring

Tracking your progress:

Use a simple spreadsheet: columns for each AI model, rows for each query, cells for the response and score. Re-run the audit monthly.

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Conclusion: Your Brand's AI Reputation Needs Active Management

Most Indian businesses don't know what AI says about them. The ones that check are often surprised - by inaccuracies, by missing information, and by competitors appearing instead of them. An AI brand audit is the essential first step to understanding your GEO position.

Once you have your audit results, Generative Engine Optimisation (GEO) is the systematic programme to improve every dimension of your AI brand presence. VGraple offers a free AI brand audit for Indian businesses - contact us to get yours.