Why does ChatGPT recommend competitors instead of you?
See how AI describes your company, where it recommends the brand, which competitors appear instead, and what public evidence supports the answer.
Check how AI describes and recommends your brand
Provider runs, simulation labels and failures follow the VStok measurement methodology.
What the brand checker shows
The checker answers how AI describes your company and why it may recommend competitors instead. It runs up to 3 buyer prompts through the OpenAI and Google Gemini APIs and collects:
- Description: how models phrase what the company does and who it is for.
- Use cases: which jobs and prompts you are recommended for.
- Top competitor: who appears most often instead of you.
- Supporting evidence: statements from the answers with the source URLs behind them.
When it is useful
Before a rebrand or launch, to see which description of your company AI has already settled on. When sales hears that a prospect “found a competitor through ChatGPT”. Or when you need evidence to prioritize which pages, reviews and publications can change the answer.
Frequently asked questions
Can I pay to be recommended by ChatGPT?
There is no general paid inclusion mechanism for organic ChatGPT recommendations. Advertising and shopping surfaces are separate from whether a web-grounded answer names a company.
Does one missing mention mean the brand is invisible?
No. Answers can vary by wording, model, location, time and available web evidence. Use a controlled prompt set and repeated measurements before drawing a conclusion.
Which AI models does the free tool check?
The free check runs up to 3 buyer prompts through the OpenAI and Google Gemini APIs. Scheduled tracking and more answer engines, including Perplexity and Claude, are available in a VStok project.
Do I need an account?
No. You can run the check without an account. An email or free account is only needed to save the result and unlock raw answers, all citations and trend tracking.
How reliable is a single check?
It is a small sample, not a final verdict: AI answers vary with wording, model, country and time. Every result states the evidence channel, how many samples succeeded or failed and when the run finished; use repeated measurements before making decisions.