a month ago
- AI visibility tools promise to measure brand visibility in AI answers but often provide false precision by presenting tidy claims like mention rates and rankings.
- Scraping the frontend of AI products like ChatGPT or Claude captures only one synthetic session with many uncontrolled variables, leading to biased measurements.
- Even with identical prompts, AI systems can produce varying answers due to factors like model batching, personalization, and nondeterministic behavior.
- Consumer apps and APIs behave differently; APIs offer controlled, repeatable measurement but may not match what users see in the product interface.