How Do I Find Out What Ai Says About My Company

• Start by asking the engines directly, and do it the way a buyer would.
• Use prompts that mirror real buying intent rather than brand-name lookups.
• AI answers come from the information a retrieval system can find, read and trust, along with third-party sites such as directories, review platforms and press coverage.
• Judge each AI description on three separate axes.
• You cannot write to ChatGPT or Perplexity the way you edit a web page.

Start by asking the engines directly, and do it the way a buyer would. Open a private or logged-out session in ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, because, according to Fleek Marketing, these tools personalise answers to the signed-in user. Ask fresh-chat questions that do not name your company, such as "What are the best tools for X?" Record whether your brand is named, whether it is linked, and which competitors appear in its place. Then repeat the same prompt several times. Local Falcon notes that the same query asked at a different time, in a different location or with slightly different wording can return a different answer, so one screenshot tells you very little. Treat each result as a sample, not a verdict, and log every run in a spreadsheet with the date, engine and prompt.

Repeat each prompt across several sessions before drawing conclusions.

Use prompts that mirror real buying intent rather than brand-name lookups. Ask category questions, such as "Which AEO tools suit a mid-market SaaS team?" Ask comparison questions, such as "Compare the leading AI visibility trackers for agencies." Ask problem questions, such as "How can I get cited by ChatGPT?" Brand-name prompts test what the engine knows about you. However, the more useful test is whether you appear when a buyer has no name in mind. White Beard Strategies recommends the same discipline: ask without company names, then record who is named instead. Specifically, run that identical set each cycle so changes reflect the market rather than your wording.

• Awareness prompts
• Consideration prompts
• Purchase prompts

AI answers come from the information a retrieval system can find, read and trust, along with third-party sites such as directories, review platforms and press coverage. Fleek Marketing advises checking the cited sources under an answer. Those links show which pages shaped the description of your business. When a claim about your pricing, product scope or leadership is wrong, the error usually traces to an outdated page, a stale directory listing or a competitor's comparison article. However, the engine itself is rarely the root cause. For example, a single outdated product page can carry an error into many answers. Specifically, find the cited URLs first, because they are the sources you can actually change. Start there before addressing anything else in the answer.

Judge each AI description on three separate axes. Accuracy asks whether the facts are true. Persuasion asks whether the language makes a buyer more or less likely to choose you. Local Falcon's Buyer Persuasion Score rates that language on a scale from -10 to +10. Local Falcon defines AI brand sentiment as what the engine actually says about a business when it mentions it. Specifically, that differs from Share of AI Voice, which measures how often you appear at all. A brand can have high visibility and negative sentiment, which is the worst combination. Therefore, score accuracy as a yes or no per fact. Score sentiment on the words used, not on whether the engine mentioned you.

You cannot write to ChatGPT or Perplexity the way you edit a web page. However, you can change the material they read. Correct the cited source pages first, then the third-party listings that contradict them. Make your core facts easy to extract, including a plain definition of your product, named features, dated pricing and clear author attribution. Where a competitor's comparison page dominates the answer, publish a more specific, evidence-backed comparison of your own. Expect a limit here. Visibility gains in AI answers rarely turn into large referral traffic. Pew Research Center found that people clicked a link inside an AI summary on just 1% of visits. According to Ahrefs, only 0.17% of the average site's visitors arrive from AI chatbots. The reason to fix sources is therefore accuracy and buyer influence, not click volume.

Recheck on a fixed cadence: monthly at minimum, and weekly for a launch or a crisis. Keep the prompt set and engine list constant. Log both the description and the cited sources, so you can separate a real shift from sampling noise. Track three numbers over time.

• How often the brand is named
• How persuasive the wording is
• How many factual errors appear

However, a single change in one answer is noise. Specifically, the same correction holding across several sessions is a trend. Allow weeks for a source fix to reach AI answers, since retrieval and crawling are not instant. Local Falcon notes that the same query can produce different responses, so a large sample is needed.

The specific figures and claims on this page are grounded in the following sources, reviewed at the time of writing:

• What Is AI Saying About Your Business? Is It Actually Persuading Customers? - Local Falcon
• How to check what AI says about your business (and fix what you find)
• How Do I Find Out What AI Says About My Business?
• What AI Says About Your Business (and How to Fix It)
• How do I find out what AI is telling people about my business?
• What Does AI Say About Your Company?

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• How to Appear in AI Search Results: The AEO Playbook
• Earning AI-Visible Citations from Authoritative Sites
• How to Leverage Citations for Growth: AI-Era Strategies