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Run Your AI Visibility Baseline

25 min

What you'll be able to do

  • Build a fixed set of test questions that real customers would actually ask
  • Run them across ChatGPT, Perplexity, Gemini, and Google, and score what comes back
  • Calculate your AI share of voice so you have a number to improve

▶ Video coming soon

Walkthrough for this lesson

KEY TAKEAWAYS

  • You can't fix what you haven't measured. This lesson produces the number everything else is judged against
  • Use the exact same questions every month. Changing the questions makes the trend meaningless
  • AI answers are probabilistic, so run each question two or three times before you believe the result
  • Local AI answers usually name only one to three businesses, so the shortlist is far shorter than the old map pack
  • Write down every wrong fact you spot. Columbia's Tow Center found AI search tools answered incorrectly more than 60% of the time

Why you start with a number

It is tempting to skip straight to rewriting your website. Resist that. Without a baseline you will have no idea whether anything you do works, and two months from now you'll be guessing. Ten minutes of measuring today gives you a score you can watch move. It also usually delivers a jolt of motivation, because most owners discover the AI is either ignoring them entirely or saying something about them that isn't true.

The four kinds of questions to test

  • Brand questions: “What is [your business] and what do they do?” This tests whether the engines know you exist and describe you correctly.
  • Category questions: “Who offers [what you sell] in [your city]?” This is the big one. It's how a customer who has never heard of you would ask.
  • Comparison questions: “[Your business] vs [a competitor]: which is better for [your type of customer]?” This shows how you're positioned against the people you compete with.
  • Trust questions: “Is [your business] legitimate? Where are they based and what do they charge?” This is what a cautious buyer asks before calling, and it's where wrong facts do the most damage.

Step by step

  • Run the AI Visibility Baseline prompt below in any AI chatbot. Because your business profile is filled in, your details are already in place. It gives you back a personalized set of about ten test questions.
  • Open a fresh chat in each engine you're testing: ChatGPT, Perplexity, Gemini, and a normal Google search to see whether an AI Overview appears. Use a fresh session with no earlier conversation, or the AI will just repeat what you already told it.
  • Ask the same questions in each one, word for word. Copy each answer into a document as you go.
  • Come back to the baseline prompt, paste the answers in, and let it score them and calculate your share of voice.
  • Save the whole thing to a document named “AI Visibility Baseline - [Your Business] - [Date].” You'll re-run it next month against the same questions.

Run each question more than once

AI answers are not fixed. Ask the same question twice and you can get two different sets of businesses. That means a single run tells you very little, and it's the most common mistake people make when they check their AI visibility. Ask each question two or three times, in separate chats, and record what shows up consistently. What you're after is the pattern, not one lucky or unlucky answer.

Your score: AI share of voice

Share of voice is simply your mentions divided by all business mentions across your test set. If ten questions produce forty business mentions and five of them are you, your share of voice is 12.5%. The absolute number matters far less than the direction. Watching it go from 8% to 14% over two months is real progress and proof the work is paying off. Practitioners often aim for roughly 30%, or parity with the other names in your category, but start by beating your own last month.

Pay attention to who wins the answers you lose, too. Note the competitor named instead of you and, where the engine shows its sources, which page fed that mention. That list of winning sources is a free roadmap: it tells you exactly which directories, listicles, and community threads the engines trust in your category.

Keep a wrong-facts log

As you read the answers, you will almost certainly find things that are simply false: an old address, a price you haven't charged in years, a service you don't offer, or a claim you're closed. This is normal and widespread. When Columbia University's Tow Center tested 1,600 queries across eight AI search tools, the tools answered incorrectly more than 60% of the time. Write every error down with the engine that said it and the exact wording. The final lesson of this course is a workflow for hunting down where each wrong claim came from and fixing it at the source.

Put it into practice

Run the AI Visibility Baseline prompt, test your questions across at least two engines with two runs each, and save your scored results with today's date. That document is your benchmark for the rest of this course.

PROMPTS FOR THIS LESSON

Copy these into your AI tool. They auto-fill with your business profile. Browse the full library.

Local MarketingMonthly

AI Visibility Baseline + Scorecard

Builds a personalized set of test questions to run in every AI engine, then scores the answers into a visibility score and share-of-voice benchmark you can track monthly.

Local MarketingMonthly

AI Visibility Baseline + Scorecard

You are an AI search visibility analyst. You are helping a small business owner find out whether AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini) mention their business, and how accurately. HERE IS MY BUSINESS INFORMATION: - Business: [BUSINESS DESCRIPTION] - Primary product/service: [PRIMARY PRODUCT/SERVICE] - Geographic market: [CITY] - Target customer type: [TARGET CUSTOMER TYPE] - Known competitors: [KNOWN COMPETITORS] - Website: [WEBSITE URL] This works in two parts. Do PART 1 now, then stop and wait. I will go run the tests and come back with the answers for PART 2. PART 1: BUILD MY TEST SET Write 10 test questions I can ask AI engines, phrased exactly the way a real customer would type them. Cover these four types: 1. BRAND (2 questions) - do the engines know I exist and describe me correctly? Example shape: "What is [my business name] and what do they do?" 2. CATEGORY (4 questions) - the most important type. A customer who has never heard of me, looking for what I sell. Do NOT include my business name in these questions. Example shape: "Who offers [PRIMARY PRODUCT/SERVICE] in [CITY]?" and "What is the best [PRIMARY PRODUCT/SERVICE] provider for a [TARGET CUSTOMER TYPE]?" 3. COMPARISON (2 questions) - me against the competitors listed above. 4. TRUST (2 questions) - what a cautious buyer asks before calling. Cover legitimacy, location, and pricing. For each question, tell me in one line what it is testing. Then give me these testing instructions in a short checklist: - Use a FRESH chat with no previous conversation in each engine, or the AI will just repeat back what I told it - Ask the identical question in ChatGPT, Perplexity, Gemini, and a normal Google search (to see if an AI Overview appears) - Run each question 2-3 times, because AI answers vary between runs - Copy every answer into a document, noting which engine gave it Stop after PART 1. Do not invent results or predict what the engines will say. PART 2: SCORE THE RESULTS (only after I paste answers back) When I paste the answers in, produce: SECTION 1: SCORECARD A table with one row per question and columns for: engine, was my business mentioned (yes/no), was my website cited (yes/no), position in the answer (first named, mentioned later, or absent), and accuracy of what was said about me (accurate / partly wrong / wrong / not mentioned). SECTION 2: VISIBILITY SCORE Give me a score out of 100 based on how often I was mentioned, how prominently, and how accurately. Show your reasoning in 2-3 sentences so I understand what is dragging the score down. SECTION 3: SHARE OF VOICE Count every business named across all the answers. Calculate my mentions divided by total business mentions, as a percentage. List the competitors who appeared, ranked by how often they were named. For any answer where a competitor was named and I was not, note which source the engine cited, if it showed one. SECTION 4: WRONG-FACTS LOG A table of every incorrect claim any engine made about my business: the engine, the exact wording it used, and what the truth is. If nothing was wrong, say so plainly. Do not soften or skip errors, this list is the most valuable output here. SECTION 5: TOP 3 PRIORITIES Based only on what the results actually show, the three things that would most improve my visibility next month. Be specific and concrete, not general advice.
After you run this: Save the full output to a document named "AI Visibility Baseline - [Business Name] - [Date]." Re-run it monthly using the exact same test questions, or the trend means nothing. Keep the wrong-facts log: you will use it in the AI Fact-Correction prompt.

What's next

Next: make sure the AI crawlers can actually reach your site, because if they can't, nothing else you do here will land.