Five Prompts to Check AI Search Accuracy for Your Business

What five prompts should I use to test if AI search engines describe my business correctly?

Use these five prompts to test AI search accuracy: (1) What does [business name] do? (2) What services does [business name] offer? (3) Where is [business name] located? (4) Who owns [business name]? (5) What do customers say about [business name]? Ask all five to ChatGPT, Perplexity, and Google Gemini, then record accuracy, source cited, and missing information in a table. The test takes fifteen minutes and reveals whether AI describes you correctly or has gaps you can fix.

You don’t need a paid tool to find out if AI search engines describe your business correctly. You need five prompts, three engines, and fifteen minutes.

This checklist gives you a fast, free way to test whether ChatGPT, Perplexity, and Google Gemini have your business facts right—and what to do if they don’t.

The Five Prompts

Adapt these to your business by replacing [business name] with your actual name:

  1. What does [business name] do?
  2. What services does [business name] offer?
  3. Where is [business name] located?
  4. Who owns [business name]?
  5. What do customers say about [business name]?

These prompts cover core facts customers may care about: your purpose, services, location, ownership, and reputation. Correct answers are encouraging, but five prompts cannot prove what every customer will see. Incorrect answers give you specific facts and sources to investigate.

The Recording Template

Create a simple table like this:

PromptChatGPT AnswerPerplexity AnswerGemini AnswerAccurate? (Y/N/Partial)Source CitedMissing Info
What does X do?
What services does X offer?
Where is X located?
Who owns X?
What do customers say about X?

Columns explained:

  • ChatGPT/Perplexity/Gemini Answer: Write the actual answer the AI gave, not a summary. You need specifics to check accuracy.
  • Accurate?: Mark Y (yes), N (no), or Partial (some facts right, some wrong).
  • Source Cited: Perplexity shows which sources it used. ChatGPT and Gemini don’t always show this—leave blank if unknown.
  • Missing Info: Note any key facts the AI should have mentioned but didn’t (e.g., didn’t mention a core service).

How to Run the Test

Step 1: Test ChatGPT

Open ChatGPT (free version is fine) and ask all five prompts one by one. Record each answer in your table. Be specific—if ChatGPT says “ABC Consulting offers tax preparation and bookkeeping,” write that exactly.

Step 2: Test Perplexity

Open Perplexity (free version is fine) and ask the same five prompts. Perplexity will show which sources it used to generate each answer. Note the source citations in your table.

Step 3: Test Google Gemini

Open Google Gemini (free version is fine) and ask the same five prompts. Record each answer.

Step 4: Check Accuracy

Go through each answer and compare it to your actual business facts:

  • Does the AI get your services right?
  • Is your location correct?
  • Is your ownership information accurate?
  • Does the AI reflect your actual customer reputation?

Mark each as Y (accurate), N (inaccurate), or Partial.

Step 5: Calculate Your Score

You have 15 total tests (5 prompts × 3 engines). Count how many were accurate:

  • 70%+ accurate (11+ of 15): Few errors appeared in this small sample. Do not treat that as proof of broad visibility.
  • 50-69% accurate (8-10 of 15): You have gaps to fix. Focus on the most common inaccuracies (e.g., wrong location, missing services).
  • Less than 50% accurate (7 or fewer of 15): Your AI visibility is poor. You likely have inconsistent public sources that need a systematic fix.

Interpreting Your Results

If Most Answers Are Accurate

Good news—AI describes your business correctly. Keep your public sources updated and re-test quarterly.

If Answers Are Inaccurate or Incomplete

Look for patterns:

  • Same fact wrong across all engines: Your public sources are inconsistent. Fix the underlying data (website, Google Business Profile, directories).
  • Only one engine is wrong: Record its citations and settings, correct any demonstrably wrong source, and re-test later. There is no universal update timetable.
  • Key services missing: Your website or Google Business Profile doesn’t clearly list all your services. Add them with Schema.org markup.

If You Can’t Find the Source of Errors

If AI describes you wrongly but you cannot identify the source or pattern, broader repeatable monitoring or a consultant-led audit may become valuable. Ask for a clear prompt set, source evidence, competitor scope, and actionable deliverable.

What This Five-Prompt Test Cannot Prove

This test can reveal obvious factual errors, but it cannot prove that your business is broadly visible in AI search. Answers may vary by session, model version, location, personalization, and whether the product is searching the live web. The 70% threshold is a practical triage rule for this checklist, not a statistical benchmark.

Do not use five prompts as the only review for regulated, safety-critical, multi-location, or reputation-sensitive businesses. Those cases need a larger repeatable sample and human review even when the initial answers look accurate. More testing is not always necessary for a small low-risk business, but less testing is not automatically prudent just because the first result is positive.

When to Re-Test

Run this test:

  • Quarterly as routine maintenance
  • After major business changes (new location, new services, ownership change)
  • Before investing in AI marketing to establish a baseline
  • When customers mention AI gave them wrong information about your business

The Bottom Line

Five prompts across three AI engines take about fifteen minutes and provide a factual spot check. The result is not a representative visibility score. Investigate any wrong answers, correct demonstrably inaccurate sources, and re-test under recorded conditions.

Most accuracy problems are fixable without paid tools. The test tells you whether you have a problem worth fixing.

Which entities does this answer reference?

  • ChatGPT
  • Perplexity
  • Google Gemini
  • AI search
  • business visibility

What follow-up questions matter most?

Why test three AI engines instead of just one?
Different AI products use different models, retrieval methods, and sources. Testing ChatGPT, Perplexity, and Google Gemini gives you three observations, not a representative sample of all customer experiences. A wrong answer still gives you a specific fact and any cited source to investigate.
What if the AI engines give different answers to the same question?
That's normal. AI engines generate answers from different training data and use different ranking algorithms. Record each answer separately. If multiple engines get the same fact wrong (e.g., all three list the wrong address), that's a strong signal you need to fix your public sources. If only one engine is wrong, it may be a training data issue that resolves itself over time.

What steps does this workflow follow?

Run the Five-Prompt AI Accuracy Test

  1. Adapt the prompts to your business:Take the five core prompts and replace [business name] with your actual business name: (1) What does [business name] do? (2) What services does [business name] offer? (3) Where is [business name] located? (4) Who owns [business name]? (5) What do customers say about [business name]?
  2. Open a recording table:Create a simple table with columns for Prompt, ChatGPT Answer, Perplexity Answer, Gemini Answer, Accurate? (Y/N/Partial), Source Cited, and Missing Info. Use a spreadsheet or paper—whatever's fastest.
  3. Test each AI engine:Ask all five prompts to ChatGPT, then Perplexity, then Google Gemini. Record each answer in your table. Be specific—write down exactly what the AI said, not a summary.
  4. Check accuracy against your actual facts:Go through each answer and mark it as Accurate (Y), Inaccurate (N), or Partially Accurate (Partial). For inaccurate answers, note which source the AI cited (Perplexity shows citations; ChatGPT and Gemini don't always).
  5. Calculate your accuracy score:Count how many of your 15 total tests (5 prompts × 3 engines) were accurate. Use 70% only as this checklist's triage threshold; it is not an industry benchmark or proof of broad visibility.