AI Recommends You but Gets the Description Wrong
Introduction
Getting recommended by AI should be a win. And it is, until you read what AI actually says about you.
"[Your Business] is a budget-friendly option focused on quick turnaround residential work."
You're a premium commercial contractor who hasn't done residential work in five years. That description isn't just wrong. It's actively repelling your ideal customers and attracting the wrong ones.
This is a different problem than AI getting your hours or address wrong. Those are factual errors with clear fixes. A wrong description is a positioning error: AI has categorized your business incorrectly, attributed the wrong specialties, applied the wrong tone, or created an impression that doesn't match who you actually are.
Positioning errors are more damaging than factual errors because they shape how potential customers perceive you before they ever visit your website. A customer who reads "budget-friendly residential" isn't going to call for a $200,000 commercial project, even if your website clearly says that's what you do.
Here's how to diagnose where the wrong positioning is coming from and how to correct it at the source.
The five types of AI positioning errors
Not all wrong descriptions are the same. Each type has a different cause and a different fix.
Type 1: Wrong service focus.
AI says you specialize in residential when you do commercial. Or general practice when you're a specialist. Or budget services when you're premium.
Typical cause: Old web data. At some point, your business may have offered the services AI describes. Old directory listings, archived website pages, or legacy citations still reference those old services. AI trained on that data, and the old signal outweighs the current one.
Type 2: Wrong positioning or tone.
AI describes you as "affordable" when your brand is premium. Or "small family practice" when you're a sophisticated multi-provider operation. The facts might be technically accurate, but the framing is wrong.
Typical cause: Review language. If your Google reviews frequently use words like "affordable," "cheap," or "great value," AI incorporates that language into its description. Alternatively, aggregator sites may have auto-generated descriptions that use generic, downmarket language for all businesses in your category.
Type 3: Outdated identity.
AI describes you as you were three years ago, not as you are today. Old team members mentioned. Discontinued services listed. Previous brand positioning reflected.
Typical cause: Stale citations. The majority of your web mentions were created when your business had a different focus or structure. AI sees more old-version data points than current-version data points and defaults to the majority signal.
Type 4: Industry misclassification.
AI puts you in the wrong category entirely. A marketing consulting firm described as an "advertising agency." A physical therapy clinic described as a "gym." A financial advisory firm described as "tax preparation services."
Typical cause: Incorrect or overly broad category selections on directory listings. If your Google Business Profile category is "Financial Planner" but your Yelp category is "Tax Services" and your BBB category is "Accountant," AI has three conflicting category signals and may pick the wrong one.
Type 5: Sentiment distortion.
AI gives a technically accurate description but with a negative or lukewarm tone that doesn't match your actual reputation. "A dental practice with mixed reviews" when your average is 4.7. "An established but sometimes criticized restaurant" when you have 4.5 stars across 400 reviews.
Typical cause: A few prominent negative reviews or a negative article that AI weights more heavily than the volume of positive reviews. Alternatively, AI may be picking up sentiment from a different source (a forum thread, a social media complaint) that doesn't represent the overall picture.
How to diagnose your specific positioning error
Step 1: Document exactly what each AI platform says about you.
Ask ChatGPT, Gemini, and Perplexity: "What can you tell me about [business name]?" and "Is [business name] good?" Write down the full response from each platform. Highlight every phrase that doesn't match your current positioning.
Step 2: Identify the error type.
Match each mischaracterization against the five types above. Most businesses find 1 to 2 dominant error types, not all five.
Step 3: Search for the source of the wrong positioning.
This is the investigative step. for each wrong phrase or characterization:
Search Google for your business name alongside the wrong description language. If AI says you're "affordable residential," search "[business name] affordable residential." The results will show which web sources use that language.
Check your directory listings for category mismatches. Open every directory profile and verify the category, subcategory, and service descriptions match your current business.
Check your reviews for language patterns. Search your Google reviews for keywords that match the wrong positioning. If 30 reviews say "great value" and "affordable," that's where AI learned to call you "budget-friendly."
Check your own website for contradictions. Old service pages, archived blog posts, or outdated copy may still describe your business in terms that match the wrong AI description.
The fix framework: repositioning your AI description
For wrong service focus (type 1):
Update every directory listing and citation to reflect your current service focus. Remove or update old service descriptions. Build 10 to 15 new citations that explicitly describe your current services. Publish content on your website that firmly establishes your current focus (e.g., "Why We Specialize in Commercial Construction" or "[Business Name]'s Approach to Premium [Service]"). Update your structured data Service schema to reflect only current offerings.
The goal: make current-service signals outnumber old-service signals across the web.
For wrong positioning or tone (type 2):
This is the most subtle fix. You need to change the language ecosystem around your business.
Update your own website copy to emphasize the positioning you want (premium, specialized, high-end, full-service, whatever matches your brand). Use specific positioning language consistently: if you're premium, use words like "premium," "elevated," "curated," "bespoke" in your entity description across all listings.
For review-driven tone problems: you can't change existing reviews, but you can encourage future customers to use language that matches your desired positioning. "We'd love to hear about what made our service exceptional" prompts different language than "please leave us a review." Over time, new reviews shift the language balance.
Build citations on sources that reinforce your desired positioning. Industry publications, premium directories, trade associations associated with your market tier. The sources themselves signal positioning: being listed in a luxury services directory tells AI something different than being listed in a budget services directory.
For outdated identity (type 3):
This is a signal volume problem. You need to create enough current-identity signals to outweigh the legacy ones.
Build 15 to 20 new citations using your current identity description. Publish content that establishes your current team, services, and focus. Update every existing listing you can control. Request updates from third-party sources that still reflect your old identity.
For industry misclassification (type 4):
Audit every directory listing for category accuracy. Correct every mismatched category. In your structured data, use the most specific business type schema available (don't use generic "Professional Service" when "Financial Service" or "Dentist" is available). Build citations on industry-specific directories that unambiguously place you in the correct category.
For sentiment distortion (type 5):
Identify the negative source AI is referencing. If it's a negative review on a prominent platform, respond professionally (which adds a positive data point). If it's a negative article or forum thread, build enough positive citations and reviews to outweigh it. Ensure your multi-platform review presence is strong enough that a few negative data points don't distort the overall picture.
The timeline for repositioning
Positioning corrections take longer than factual corrections because they require shifting the overall balance of signals, not just updating a single data point.
Perplexity: 4 to 8 weeks (real-time search picks up new signals relatively quickly)
Google AI products: 6 to 12 weeks (depends on re-indexing of corrected listings and new citations)
Chatgpt search mode: 6 to 12 weeks (depends on bing re-indexing)
Chatgpt conversation mode: 3 to 6 months (requires training data update that captures the repositioned signals)
Full repositioning across all platforms typically takes 3 to 6 months of consistent work.
Want to see exactly how AI positions you right now? Run your free AI visibility audit at yazeo.com for a comprehensive description analysis across ChatGPT, Gemini, Perplexity, and Google AI Overviews. The audit identifies specific positioning mismatches and traces them to their likely sources.
Key findings
- Positioning errors are more damaging than factual errors because they shape customer perception and attract or repel the wrong audience.
- Five distinct positioning error types (wrong service focus, wrong tone, outdated identity, misclassification, sentiment distortion) each have different causes and fixes.
- Review language is a primary driver of tone and positioning descriptions in AI responses.
- The fix requires shifting the balance of signals, not just correcting a single data point, making it a multi-month effort.
- Full repositioning across all platforms typically takes 3 to 6 months of consistent signal building.
Frequently asked questions
The recommendation is only valuable if the description is right
Being named by AI is step one. Being described accurately is what makes it convert. A recommendation with the wrong description is like a referral that says your name but describes someone else's business. The customer comes in with the wrong expectations, and the mismatch costs you the sale.
Fix the description. Match the signals to the reality. And make sure that when AI says your name, it says something you'd be proud to have every customer hear.
Run your free AI visibility audit at yazeo.com and see exactly how every major AI platform describes your business. The audit reveals the specific language AI uses, where it comes from, and what needs to change.