How to Check If ChatGPT Recommends Your Competitors (Not You)

You ask ChatGPT who is best in your line of work.

Your name never comes up.

Your competitor's does, every single time.

That is the moment ChatGPT recommends competitors instead of you.

Most owners never even check for it.

To find out if ChatGPT recommends competitors instead of you, write 10 questions your customers would actually ask. Test each one in ChatGPT, Claude and Google AI. Write down which businesses get named, then study why those competitors show up so you can close the gap.

Step 1: Write Your Query List

Start by thinking like your customer.

What would they type into ChatGPT if they needed a business like yours?

Don't overthink it.

Write down 10 specific questions your ideal customers would ask:

• "Best video production companies for small businesses in [your city]"
• "Affordable social media management services"
• "Who makes explainer videos for SaaS companies"
• "Video marketing agencies under $500/month"
• "Best UGC creators for e-commerce brands"

Make each one specific to your niche, your city and your price point.

A generic question like "best marketing agencies" will not give you anything useful.

Picture a local fitness studio trying this.

It might test "personal trainers near downtown Portland," "small group fitness classes under $100/month," and "weight loss programs for busy professionals."

Step 2: Test Across Multiple AI Platforms

Don't just test ChatGPT.

Your customers use different tools, and each one pulls from different sources.

According to BrightLocal's 2026 Local Consumer Review Survey, 45% of consumers now use AI to find local businesses, up from just 6% a year earlier. AI is now the third most used source for local recommendations, behind only Google and Facebook.

That is exactly why one platform is not enough.

Test each query on:

• ChatGPT (free and paid versions)
• Perplexity AI
• Google Bard/Gemini
• Claude (if accessible)
• Bing Chat

For each query, copy the exact answer into a spreadsheet.

Note which businesses get named, in what order, and whether contact details are included.

Use private browsing and clear your history between tests.

You want an honest result, not one shaped by your own search history.

Step 3: Track and Analyze the Results

Build a simple spreadsheet to hold your findings.

Here is a basic template:

Then look for patterns.

Which competitors keep showing up?

Do they always list contact information?

What sources do the AI tools keep citing?

Say a local bakery tested 8 queries about "custom cakes" and "wedding desserts."

Two competitors turned up in 75% of the answers.

The bakery itself was not mentioned once.

Both competitors had detailed Google Business Profiles and review pages the AI tools kept citing as sources.

Step 4: Reverse-Engineer Why ChatGPT Recommends Competitors

Now comes the detective work.

Why do your competitors get recommended while you do not?

Check their Google Business Profile first.

Are the photos, hours and services all filled in, with regular posts?

Next, check their website structure.

Right click, choose View Page Source, then search for "schema" or "json-ld."

SE Ranking's 2026 study on AI citations found that 71% of pages ChatGPT cites carry structured data, known as schema markup. Google AI Mode cites structured pages 65% of the time.

That code is how AI understands what a business actually offers.

Then check reviews.

How many does the competitor have on Google, Yelp, Facebook or an industry site?

Then check their content.

Do they publish articles or service pages that answer real customer questions?

Last, check directory listings.

Are they in industry directories, local listings or association sites?

Picture a video production company doing this audit.

It might find that competitors named by ChatGPT all had schema marking them as "VideoProductionServices" and "LocalBusiness."

Those competitors also carried 50+ Google reviews and profiles on 5+ business directories.

The company running the audit had none of it.

Step 5: Build Your Gap-Closing Plan

Take your findings and make a prioritized list.

Fix the biggest gaps first.

Quick wins (0-2 weeks):

• Complete your Google Business Profile
• Add schema markup to your website
• Claim listings on major directories
• Ask happy customers for reviews

Medium-term (1-3 months):

• Create service pages that answer common customer questions
• Publish helpful content about your industry
• Build citations on industry-specific directories
• Add structured data to your existing content

Long-term (3+ months):

• Keep a steady content plan going
• Build ties with local business groups
• Create case studies and testimonials
• Watch and respond to online mentions

Making the Plan Actually Work

The key is consistency.

AI recommendation systems shift constantly, but a strong basic presence tends to hold up.

Start with your Google Business Profile.

It costs nothing, takes about 30 minutes to do properly, and feeds several AI platforms at once.

Add photos, write full service descriptions, post updates, and answer your reviews.

Then tackle schema markup.

Even basic markup telling AI what you do and where can move the needle.

If code is not your thing, most website builders now offer schema options built in.

Re-run your original 10 queries every month to track progress.

You will not see change overnight, but steady work tends to show results within 2-3 months.

Build one simple tracking sheet and reuse it.

Test the same 10 queries each time, and note any change in mentions, position or new competitors showing up.

Related: Get recommended on every AI platform

The Reality Check

Some businesses hold an advantage that is hard to close fast.

A competitor with 200 Google reviews and 5 years of content will not be displaced overnight.

But AI systems still favor fresh, relevant information over size alone.

Search Engine Journal's 2026 field study found that AI answers cut organic clicks by 38% on the searches where they show up. That is exactly why being the one AI actually names matters more than ever.

Aim to be the obvious pick in your specific niche, not the whole broad category.

"Best video production for dental practices" is easier to win than "best video production company."

Frequently asked questions

How often should I check my AI visibility?

Check once a month.

Test the same 10 questions each time.

Note any change in mentions, your position or new competitors.

Keep it in one simple tracking sheet.

How long does it take to start showing up in ChatGPT?

Expect about 2-3 months of steady work.

You will not see change overnight.

Quick wins, like your Google Business Profile and schema markup, take 0-2 weeks to put in place.

Why do I get different answers each time I test?

AI tools can personalize answers based on your past searches.

Use private browsing and clear your history between tests.

That gets you closer to what a new customer actually sees.

How can I tell why ChatGPT recommends competitors over me?

Look at what they have that you do not.

Check their Google Business Profile, reviews and directory listings.

View their page source and search for "schema" or "json-ld" to see their markup.

What should I fix first?

Start with your Google Business Profile.

It is free and takes about 30 minutes to complete properly.

Then add schema markup, claim your directory listings, and ask happy customers for reviews.

Can a small business beat a competitor with hundreds of reviews?

Not overnight, but it can happen over time.

Aim for a narrow niche, not a broad category.

"Best video production for dental practices" is easier to win than "best video production company."

The Bottom Line

Getting recommended by AI is not magic.

It comes down to having the right information in the right places.

Most small businesses stay invisible to AI simply because they have not done the basic work of making their services easy to find.

Follow this audit, close the gaps one by one, and you start showing up in the exact conversations where your customers are deciding who to call.

This AI visibility audit is actually part of our $297 explainer video service, where we help businesses close these gaps before we ever build the video.