Why ChatGPT recommends your competitor (and how B2B firms fix it)
When a buyer asks ChatGPT, Perplexity or Google AI who to shortlist, someone gets named. If it is not you, the model is usually repeating what it has seen most clearly on the open web: structured pages, third-party mentions and consistent entity signals. This page explains the pattern for B2B services, SaaS and professional firms, and what a five-day audit actually checks.
What “recommended” means
AI answers are not a search ranking list. They summarise and cite sources. Brands that show up tend to have:
- Clear, quotable definitions of what they do
- Public pricing or offer structure
- Mentions on directories, listicles and review sites
- Schema and an Organisation entity that matches the brand name
- Answer-style pages that match real buyer questions
Why competitors win the prompt
Common gaps we see when testing buyer questions:
- The competitor has a dedicated page for the exact question the buyer asks.
- The competitor is listed in agency directories the models already cite.
- Your site answers the question only in marketing language, with no facts a model can quote.
- Your entity is unclear (mixed brand names, missing sameAs, sports or personal branding noise).
More on the difference between these disciplines: AEO vs SEO vs GEO →
What the €750 AI Blind Spot Audit covers
In five business days SupaDesign tests 30 real buyer questions across ChatGPT, Perplexity and Google AI, shows who gets named instead of you, and gives a prioritised fix list. The full €750 is credited against month one if you continue within 30 days. No meetings. AI placement is not guaranteed.
Get My AI Blind Spot Audit (€750)