How Can I See If Ai Assistants Recommend My Company

Ask AI assistants the questions your buyers actually type, without using your brand name, across ChatGPT, Gemini and Perplexity. Record whether you are mentioned, your position in any list, whether your domain is cited, and which competitors appear. Repeat each prompt several times, because answers are non-deterministic.

Prompts that include your company name only measure whether the assistant recognises it. A genuine recommendation test uses discovery and commercial phrasing instead. For example, a buyer asking for the best **tool in your category reveals whether you are offered as an answer at all**.

Check ChatGPT, Gemini or Google AI Overviews, and Perplexity at minimum. However, each engine retrieves from different sources and weights them differently. Specifically, the same business can be recommended by one engine and absent from another, so a single-engine result tells you about one engine only.

Run each prompt at least three times per engine and treat the pattern as the result. AI answers vary between runs, so a single screenshot is misleading. InsightScout recommends a fixed set of buyer prompts run on a schedule across several assistants for this reason.

Ranking and citation are different outcomes. UX Continuum's August 2026 study **found pages ranking as high as position 2.2 on Google went uncited by AI**, while lower-ranked pages were quoted. Assistants select passages they can extract and trust, so structure and clarity matter as much as position.

Google's Search Console generative AI report is a free tool that shows impressions for AI Overviews and AI Mode. It breaks data down by page, country, device and date, though it omits clicks and queries. Bing Webmaster Tools' AI Performance report shows which phrases pull your pages into AI answers. ChatGPT's live search has long leaned on Bing's index. GA4 can isolate AI Assistant referral traffic.

If an assistant names your company wrongly or not at all, first check your facts for consistency. Confirm your site, directory listings and third-party reviews match. Sachkhan Digital Marketing notes that assistants favour consistent NAP details and clear service descriptions. Then publish direct, self-contained answers to the buyer prompts where you were absent. Finally, re-test on the same schedule.

Tracking changes in AI recommendations over time means logging the same results at regular intervals. Keep the same prompt set, engines and run count each cycle, then log results by date. Compare mention rate, average position and citation rate against the previous period. Fastlook's Citation Analytics and Brand Memory automate this tracking across engines, which removes manual logging from the process.