Fix AI Misperceptions: What ChatGPT Gets Wrong About You
68% of AI search results about local restaurants contain wrong information. As 45% of consumers now use AI for recommendations, correcting the record has never mattered more.

Ask ChatGPT about your restaurant. You might be surprised by the answer.
It might say you serve Italian food when you actually serve Nordic cuisine. It might list the wrong price range. It might not know you have outdoor seating or that you are open for lunch.
68% of AI search results about local restaurant information contain errors.
These mistakes matter more than they used to. The proportion of consumers using AI for local business recommendations has climbed to 45% -- and among 18-to-27-year-olds, 64% act on an AI recommendation without verifying it elsewhere.
When someone asks an AI assistant where to eat, the answer is based on what the AI believes about your restaurant. If those beliefs are wrong, the AI sends guests elsewhere. The good news: you can fix most of these errors.
Why AI gets things wrong
AI models like ChatGPT, Gemini, and Meta AI build their understanding of your restaurant from public data: your Google Business Profile, your website, review platforms, social media, and food blogs.
Problems happen when:
- Information is outdated. You changed your menu six months ago, but your website still shows the old one.
- Information is inconsistent. Your website says "modern European," Google says "French," and TripAdvisor says "fine dining."
- Information is missing. You have outdoor seating, but it is not mentioned anywhere online.
- Reviews paint a different picture. Guests describe your restaurant differently than you would.
The AI does its best with what it finds. If the data is wrong, the conclusion is wrong. And 66% of people rely on AI output without checking its accuracy.
Step 1: Check what the AI actually says
Before you fix anything, find out what the AI thinks about you.
Open ChatGPT, Gemini, or ask Meta AI: "Tell me about [your restaurant name] in [your city]."
Pay attention to cuisine type, price range, services (outdoor seating, delivery, vegetarian options), strengths and weaknesses, and opening hours. Write down anything that is wrong. That is your fix list.
Step 2: Update your Google Business Profile
This is the single most impactful thing you can do. Google Business Profile is the main source of truth for AI models.
93% of diners check Google before choosing a restaurant. Businesses with high-quality photos receive 42% more requests for directions and 35% more website clicks.
Here is what to check and update:
- Primary category. Make sure it matches your actual cuisine.
- Description. Write a clear, specific description. Mention cuisine, atmosphere, and what makes you stand out.
- Menu. Upload your current menu. AI models read menu content to understand your offering.
- Services. Check every flag: dine-in, takeout, delivery, outdoor seating, reservations.
- Hours. Keep them accurate, including seasonal changes and holiday hours.
- Photos. Upload recent, high-quality photos. AI models with vision capabilities analyse photos for context.
- Attributes. Fill in all relevant ones: family-friendly, vegetarian options, wheelchair accessible, live music.
Do this first. It has the biggest effect on what AI says about you.
Step 3: Make your website consistent
Your website is the second most important source. AI models crawl and read it.
Check that your website agrees with your Google profile on cuisine type, price indicators, services offered, opening hours, and contact information. Inconsistency confuses AI. If your website says "seafood restaurant" but Google says "Norwegian restaurant," the AI guesses. Sometimes it guesses wrong.
Step 4: Fix your review platform profiles
AI reads TripAdvisor, Yelp, TheFork, and similar platforms. Make sure your profiles are complete on each one. Verify that cuisine category, photos, menu, opening hours, and contact details are consistent with your website and Google.
You cannot control what guests write in reviews, but you can control your profile information.
Step 5: Respond to reviews that contain wrong information
When a guest writes "great Italian food" about your Nordic restaurant, that review teaches AI models something false.
Correct it subtly by responding: "Thank you for the kind words. We are glad you enjoyed our modern Nordic menu. We hope to see you again."
This adds correct information right next to the incorrect claim. AI models read both reviews and responses.
Step 6: Be specific in your online content
Generic descriptions lead to generic AI understanding. Specific details lead to accurate AI understanding.
Instead of: "We serve great food in a nice atmosphere."
Write: "We serve modern Nordic cuisine with seasonal ingredients from local farms. Our six-course tasting menu changes every month. The dining room seats 40 guests in an intimate, candlelit setting."
The second version gives AI clear signals about cuisine, concept, capacity, and atmosphere. The first tells it almost nothing.
Quick reference for common errors
Wrong cuisine type: Update Google Business Profile category. Add correct cuisine to website, meta description, and all platform profiles. Respond to reviews that mention wrong cuisine.
Wrong price range: Make sure your menu with current prices is available on website and Google profile.
Missing services: Enable correct flags on Google Business Profile. Mention services on your website. Add photos that show outdoor seating, takeaway packaging, or other relevant services.
Wrong opening hours: Update hours on Google, your website, TripAdvisor, and every other platform. Set special hours for holidays.
How long until AI updates
AI models do not update instantly. Google Business Profile changes appear within days to weeks. Website changes may take weeks. New reviews are picked up continuously by platforms and eventually by AI models.
The most effective approach is to fix everything at once and stay consistent from that point forward. Over time, the AI's understanding aligns with reality.
How Nine Tables helps
Nine Tables' reputation tools query multiple AI models about your restaurant and show you what each one thinks -- including specific claims that do not match reality. You see what to fix and can track whether your corrections are working.
58% of consumers say they have lost trust in a brand because of faulty AI suggestions, but they keep using AI anyway.
The goal is straightforward: make sure the AI tells potential guests the truth about your restaurant. Nothing more, nothing less.