Introduction
When we started building Visbee, we spent weeks just asking AI platforms about brands. Hundreds of them. Big and small, across every industry we could think of.
Some brands were being recommended for things they don’t even sell anymore. Others had outdated pricing information floating around in AI responses. A few were being confused with competitors. And almost none of the companies we checked had any idea this was happening.
Here are the five most common things AI says about brands that the brands themselves don’t know about. If you haven’t checked what ChatGPT says about your company lately, you probably should before reading further.
1. AI is recommending you for the wrong reasons
We found brands being recommended by ChatGPT for features they’d deprecated years ago, for use cases they no longer support, or based on a product version that’s been completely replaced.
One example that stuck with us: a SaaS company that had pivoted from a project management tool to a communication platform in 2023. When we asked ChatGPT about project management tools in early 2025, the company still appeared in recommendations, based on information from before the pivot. Their current product wasn’t even in the same category anymore.
If you’re getting mentioned, it looks fine on the surface. But if the reason you show up doesn’t match your current offering, you might be attracting the wrong audience or creating confusion.
What to do about it: Check what AI actually says about your brand, not just whether it mentions you. If anything is outdated, publish current content that clearly describes what you do now. Real-time search (RAG) helps correct this as AI retrieves your updated pages.
2. AI knows about that one bad review you forgot about
We noticed this pattern across dozens of brands: a single influential negative review, a critical Reddit thread, or a bad press article would surface in AI responses months or even years after publication. Even when the company had addressed the issue.
We’ve seen ChatGPT say things like “Brand X is popular, but some users have reported issues with customer support” based on a Reddit thread from two years ago, even though the company had since overhauled their support team.
What to do about it: Use Visbee to find out what negative content AI is picking up. Then address the root sources: respond to old reviews, publish case studies showing improvements, create content that addresses past criticisms. The goal isn’t to bury the negative, it’s to build enough positive, current context that AI weighs it more heavily.
3. AI is telling people about your pricing (and getting it wrong)
AI platforms frequently mention pricing when recommending products, and the numbers are often outdated. Sometimes by a year or more. Even worse, we’ve seen cases where AI combines pricing from different sources and different time periods, creating a frankenstein response: “Brand X starts at $29/month for basic features” when the actual starting price is $49/month and the plan structure is completely different.
If AI tells someone your product costs $29/month and they arrive at your pricing page to find $49/month, that’s an immediate trust issue. The reverse happens too: AI quoting higher prices, turning away prospects before they even visit.
What to do about it: Structure your pricing page with schema markup so AI crawlers can parse it. Keep pricing consistent across all platforms (your site, G2, Capterra) so every source AI draws from agrees on the numbers.
4. AI compares you to competitors you’ve never heard of
When someone asks ChatGPT “What’s the best alternative to [Your Brand]?”, the list of competitors is often surprising. We’ve shown brand teams their AI comparison landscape and watched them react: “We don’t compete with that company at all.” Or: “That product shut down two years ago.” Or: “We had no idea that company existed, and ChatGPT is recommending them over us.”
The comparison landscape is more volatile than core recommendations. Top brands for a category stay stable, but the “alternatives” lists shift frequently. This means you have real ability to influence how AI positions you relative to others.
[Screenshot: Visbee competitive analysis showing which brands AI groups together for specific queries]
What to do about it: Monitor what AI says when people ask about alternatives to your brand and to your competitors. Create honest comparison content on your own site. Make sure the comparisons you want to be associated with are well-represented in content AI draws from.
5. AI gives different answers about you on different platforms
ChatGPT, Perplexity, Claude, Grok, and DeepSeek all say different things about your brand. Sometimes slightly different, sometimes dramatically different. For the same query, one platform might strongly recommend you while another doesn’t mention you at all.
The reasons:
- Different training data. Each model was trained on a different dataset, collected at a different time. Your brand’s presence varies across these datasets.
- Different retrieval approaches. When platforms do real-time search, they use different search engines and different logic for which results to prioritise.
- Different response patterns. Each model has its own “personality.” Claude tends to be more balanced. ChatGPT is often more definitive. Perplexity leans heavily on cited sources.
This matters because your customers aren’t all using the same platform. If you only check ChatGPT, you might think you’re doing fine while Claude is recommending your competitor for the exact same queries.
[Screenshot: Visbee platform comparison showing how the same brand appears differently across ChatGPT, Perplexity, Claude, Grok, and DeepSeek]
What to do about it: Monitor across all major platforms, not just one. This is honestly one of the main reasons we built Visbee to support five platforms simultaneously. A brand that looks healthy on ChatGPT might have a blind spot on Perplexity or Claude. You need the full picture to make good decisions.
Summary
AI platforms are having conversations about your brand right now, and most of what they’re saying, you don’t know about.
The five most common blind spots:
- AI recommends you for outdated features or use cases
- Old negative content persists in AI responses long after you’ve fixed the issue
- AI quotes your pricing incorrectly, creating trust problems with potential customers
- AI compares you to competitors you wouldn’t choose yourself
- Different AI platforms say fundamentally different things about you
None of these are unsolvable. But you can’t fix what you can’t see. The first step is checking what AI actually says about your brand, across multiple platforms, for multiple queries. You can do that manually (it’s tedious but free) or with a tool like Visbee that automates the process.
Either way, the worst strategy is not checking at all.
FAQ
How do I check what ChatGPT says about my brand right now?
Open ChatGPT and try queries like “What is [Your Brand]?”, “Is [Your Brand] any good?”, “What are alternatives to [Your Brand]?”, and “[Your Brand] vs [Competitor]”. Note the answers. Then try the same on Perplexity and Claude. You’ll quickly see patterns. For ongoing tracking, Visbee automates this across all five platforms.
Can AI say things about my brand that are factually wrong?
Yes. AI can and does make factual errors about brands. Outdated information, mixed-up details, incorrect pricing, or confusing your brand with another company. This is why monitoring matters.
How quickly can I fix inaccurate AI responses about my brand?
For real-time search responses, days to weeks as AI picks up your updated content. For training-data-based responses, you’re waiting for the next model update, which could be months. A combined approach works best.
What’s the most common negative thing AI says about brands?
Customer support issues. Across all the brands we’ve tracked, complaints about customer service are the most frequently cited negative. Product bugs and pricing concerns are second and third.