How to Check If AI Is Recommending Your Business Right Now

Most business owners check their Google rankings regularly. Very few have ever asked ChatGPT, Claude, or Perplexity a question about their own industry — and looked at which businesses get mentioned in the response.

That gap is a problem. AI-powered search is growing fast. Gartner estimates that by 2026, traditional search traffic will drop 25% as consumers shift to AI assistants for recommendations. If you run a dental practice, law firm, real estate brokerage, or any local service business in Canada, the question isn’t whether AI matters. It’s whether AI is already sending potential clients somewhere else.

The good news: you can check your AI visibility right now, in about 10 minutes, without any special tools.

The 10-minute AI visibility audit

Open ChatGPT, Claude, Perplexity, or Google Gemini. If you have access to more than one, use all of them — each model has different training data and retrieval sources.

Step 1: Ask the question your customers ask

Type the exact question a potential customer would ask when searching for your service. Be specific and local. Examples:

“Who is the best family dentist in Hamilton?”
“What law firm should I use for a real estate closing in Mississauga?”
“Which insurance brokers in Calgary handle small business liability?”
“Best financial advisor in Vancouver for retirement planning?”

Do not mention your brand name. You want to see what appears organically.

Step 2: Check the response for three things

Presence — Is your business mentioned at all? If the AI produces a list of recommendations and you are not on it, you have a presence problem. The model either doesn’t know you exist or doesn’t associate you with this query strongly enough to include you.

Prominence — Where do you appear in the response? First recommendation? Third? Buried in a disclaimer paragraph? Position matters. AI responses don’t have 10 blue links — most users read the first recommendation and stop.

Perception — What does the AI say about you? Is the description accurate? Does it highlight your strengths or repeat outdated information? AI models sometimes surface old reviews, incorrect addresses, or descriptions that no longer match your brand.

Step 3: Ask follow-up questions

After the initial query, try these follow-ups to stress-test your visibility:

“Tell me more about [your business name]”
“How does [your business] compare to [competitor]?”
“What do reviews say about [your business]?”
“Is [your business] good for [specific service you offer]?”

These reveal whether the AI has deep knowledge of your brand or just a surface-level mention.

Step 4: Record what you find

Write down three things:

Which models mentioned you (and which didn’t)
What they got right and wrong about your business
Which competitors appeared instead of you

This gives you a baseline. Without a baseline, you cannot measure improvement.

What your results mean

If you weren’t mentioned at all

This is common for local businesses. AI models prioritize brands with strong online authority signals — consistent business information across directories, recent third-party mentions, structured data on your website, and quality content that directly answers common questions in your industry.

The fix is not paid advertising. AI models don’t accept ads. The fix is building the kind of digital presence that AI models interpret as authoritative.

If you were mentioned but described inaccurately

This happens when your online presence has inconsistencies. Your Google Business Profile says one thing, your website says another, and a three-year-old directory listing says something else entirely. AI models synthesize all of these sources, and conflicting information produces confused or incorrect responses.

Start by auditing your NAP consistency — name, address, phone number — across every directory and platform where your business appears.

If your competitor was mentioned and you weren’t

This is the most actionable finding. Look at what your competitor is doing online that you are not. Common factors that drive AI citation include:

Structured FAQ content that directly answers the questions customers ask
Schema markup that helps AI models parse your website efficiently
Third-party mentions in industry publications, comparison articles, and review platforms
Consistent, recent content that signals an active and authoritative business

If you were the top recommendation

Congratulations — but don’t stop here. AI models update their knowledge continuously. A competitor who starts optimizing for AI visibility today could overtake you within weeks if you become complacent.

Why this matters now

Every month you wait, AI search adoption grows and your competitors have more time to claim the space. Unlike traditional SEO, where rankings shift gradually, AI citation can change dramatically with a single model update.

The businesses that start building AI visibility now will be the ones AI models recommend as the default choice in their category. The businesses that wait will be playing catch-up against entrenched competitors.

The audit above takes 10 minutes. The insight it provides could reshape how you think about your entire online strategy.

Want a deeper analysis?

A manual spot-check is a good starting point. A comprehensive AI visibility audit tests your presence across all major AI platforms, analyzes dozens of industry-specific queries, benchmarks you against competitors, and scores your visibility across three dimensions: presence, prominence, and perception.

Manta AEO runs these audits automatically for Canadian service businesses. If you want to know exactly where you stand and what to fix first, request a free audit.