Your buyers now ask an assistant, not a search box. The assistant answers from training data, third-party lists, and whatever it can crawl — and if it misstates your specs or skips you entirely, nobody tells you. We measure exactly that, and show you the gap.
You receive:
① Your AI Recommendation Share across 8 assistants — mention rate, rank position, info accuracy, suppression ratio.
② 100 purchase-intent prompts in your category, with the full answer log.
③ The error list: every spec, price or availability claim the assistants get wrong about you.
④ The competitor gap: who wins your customers' questions today, and on which assistant.
⑤ A prioritized fix list — 30 minutes walkthrough call included.
Delivery in 10 business days · prompt-level evidence included · NDA available
Request the one-pager →Every month:
① Re-run of your category test set — trend dashboard of your AI Recommendation Share.
② Alerts: new entrants, share drops, newly introduced spec errors.
③ Visibility fixes, prioritized: structured data, assistant crawler access, and presence in the third-party sources assistants actually quote.
④ Quarterly review with a human, not a bot.
Month-to-month · cancel anytime · the dashboard is yours
See a sample dashboard →AI recommendation logic is partly a black box and changes without notice. We commit to measured metrics — mention rate, position, accuracy — not to revenue outcomes.
Assistant knowledge updates lag the live web by weeks to months. Month one is baseline; trend statements start from month two or three.
We serve one client per brand per category. If your direct competitor is already a client in the same category, we tell you before you pay.
We run a limited number of free diagnostics for categories on our research roadmap — condition: results may be cited anonymously in published reports. If your category is next, you see your data before anyone else does.
Or email hello@aibuy.org with “pilot” in the subject.