How to Monitor What AI Says About Your Business (2026)

You monitor your Google reviews. You track your search rankings. You might even track social media mentions. But are you monitoring what AI chatbots say about your business?

In 2026, millions of consumers ask AI assistants for business recommendations every day. "Who is the best dentist in Vilnius?" "Which hotel in Riga has the best location?" "Recommend a law firm for commercial litigation in Berlin." The AI responds with specific business names, descriptions, pros and cons, and sometimes even contact information. These responses are shaping consumer decisions at scale - and most businesses have no visibility into what is being said.

This guide shows you how to monitor what AI says about your business, how often to check, what tools are available, and what to do when AI gets it wrong. If you have not done a baseline check yet, start with our AI visibility self-audit guide first.

Why AI Monitoring Matters

There are four scenarios that make monitoring essential:

• AI recommends you with incorrect information. Wrong address, outdated hours, incorrect services, wrong pricing - AI can confidently present outdated or wrong information as fact. A potential customer who gets a wrong address or calls about a service you do not offer has a bad experience before they even interact with you.
• AI recommends your competitor instead. When someone asks for the best [your industry] in [your city], AI lists three competitors and leaves you out entirely. Without monitoring, you do not know this is happening - and every day it continues, potential customers are directed elsewhere.
• AI says something negative about you. AI might surface a negative review, mention a past complaint, or describe a limitation of your business that is no longer accurate. These responses persist until the underlying data changes.
• AI does not know you exist. For many small and mid-size businesses, AI simply has no information about them. The response is "I do not have specific information about [business name]" - which tells the user to look elsewhere.

All four scenarios are invisible unless you actively check. That is why monitoring is the necessary first step. For context on the broader shift toward AI-driven business discovery, see our analysis of what ChatGPT sees about your business.

What to Monitor Across AI Platforms

Each major AI platform sources and presents information differently. Here is what to check on each:

Each platform may say different things about your business because they draw from different data sources and have different training data cutoffs. A complete monitoring practice covers all four.

Manual Monitoring: The DIY Approach

The most straightforward monitoring approach is manual - asking AI platforms about your business on a regular schedule. Here is a structured process:

Monthly Prompt Set

Use these prompts on each platform once per month. Always start a new conversation for each prompt to avoid context contamination:

• Identity prompt: "What do you know about [Your Business Name] in [Your City]?"
• Recommendation prompt: "What is the best [your industry] in [your city]?"
• Service prompt: "I need [specific service you offer]. Who should I call in [your area]?"
• Comparison prompt: "Compare [Your Business] and [Top Competitor]."
• Review prompt: "What do people say about [Your Business Name]?"

What to Record

For each prompt, record:

• The date and platform
• Whether your business was mentioned
• Whether the information was accurate
• Your position in recommendation lists (if applicable)
• What competitors were mentioned
• Any incorrect or outdated information
• Sources cited (Perplexity only)

A simple spreadsheet tracking these data points over time reveals trends: are you becoming more visible? Is AI picking up on recent changes? Are competitors gaining or losing ground?

Monitoring Tools and Services

As AI visibility becomes a recognized marketing concern, tools are emerging to automate the monitoring process:

• Otterly.ai: One of the first dedicated AI monitoring tools. Tracks your brand mentions across ChatGPT, Gemini, and Perplexity. Provides alerts when AI responses change. Starting at $49/month as of 2026.
• Profound: Monitors AI recommendations and provides competitive analysis. Tracks which prompts trigger your brand and which trigger competitors. More expensive but more comprehensive.
• Brand monitoring services: Traditional brand monitoring tools (Mention, Brand24, Brandwatch) are adding AI chatbot tracking to their feature sets. If you already use one of these, check whether they have added AI monitoring.
• DIY automation: For technically inclined businesses, the ChatGPT API, Gemini API, and Perplexity API can be used to run monitoring prompts automatically and track responses over time. Cost is minimal (a few dollars per month in API credits), but requires development effort.

For most small businesses, manual monitoring once per month is sufficient. Automated tools become worthwhile if you operate in a highly competitive market, manage multiple locations, or need to track a large number of competitors.

What to Do When AI Gets It Wrong

Discovering that AI is sharing incorrect information about your business is frustrating but fixable. The approach depends on the type of error and the platform:

Wrong Factual Information (Address, Hours, Services)

• Update your website. Make the correct information prominently visible on your homepage and contact page. Use Schema.org markup to structure this data clearly.
• Update your Google Business Profile. Gemini pulls directly from GBP. An updated GBP reflects in Gemini responses faster than any other platform.
• Update directory listings. Ensure consistent, correct information across all major directories (Yelp, industry-specific directories, local business listings).
• Report to the platform. ChatGPT has a feedback mechanism on each response. Use it to flag factual errors. Perplexity has a similar feature. These reports are not guaranteed to cause changes, but they are worth submitting.

Outdated Information

AI models have training data cutoffs. If your business has changed significantly (new location, new services, rebranding), the model may not yet reflect these changes. The fix is the same as above - update all web presences - but also create fresh content about the change. A blog post announcing your new location, a press release about new services, or updated about-us pages all provide new training signal for AI models.

Negative or Misleading Characterization

If AI surfaces negative reviews or outdated complaints, the long-term fix is to build a stronger positive signal: more recent positive reviews, authoritative positive mentions, and substantive content that establishes your expertise. You cannot remove negative information from AI, but you can outweigh it with positive signals over time.

What to Do When AI Does Not Mention You

If AI does not know about your business at all, the issue is insufficient web presence. The remedy requires building the signals that AI uses to learn about businesses:

Building AI visibility is not instant. Expect 2-6 months between action and visible results in AI responses, with faster results on platforms that have real-time web access (Perplexity, Gemini) and slower results on models with training data cutoffs (ChatGPT, Claude).

Monitoring What AI Says About Competitors

Monitoring is not just about your own business. Tracking what AI says about competitors provides strategic intelligence:

• Which competitors does AI recommend in your category? This tells you who AI considers your competition - which may differ from who you consider your competition.
• What strengths does AI attribute to competitors? AI is surfacing what the web says about them. If AI consistently says Competitor X has "the most experienced team" or "best reviews," that tells you what competitive messaging is working.
• What weaknesses does AI mention? If AI notes that a competitor has limited hours, higher prices, or fewer services, those are positioning opportunities for you.
• Where do competitors appear that you do not? If a competitor is recommended on Perplexity but you are not, check what sources Perplexity cites. Those sources are likely driving the recommendation - and you can target the same or similar ones.

Run the same monitoring prompts for 2-3 key competitors alongside your own monitoring. The comparative data is often more actionable than your own data in isolation.

Building a Monthly Monitoring Routine

Consistency matters more than depth. A simple monthly routine that you actually do is better than an elaborate quarterly process that you skip:

• Time investment: 30 minutes per month.
• Day 1 of each month: Run the five-prompt set across all four AI platforms for your business (20 prompts total). Record results in your tracking spreadsheet.
• Day 1 of each month: Run the recommendation prompt for 2-3 competitors on each platform (8-12 prompts). Record results.
• Compare to previous month: Has visibility improved? Has information accuracy changed? Are new competitors appearing?
• Action items: Based on findings, add 1-3 specific actions to your marketing to-do list. Content updates, review requests, directory submissions, Schema.org improvements - concrete steps tied to specific monitoring findings.

Frequently Asked Questions