Glossary
Recommendation (AI Search)
A recommendation is when an AI engine actively names your brand as an option a buyer should consider, rather than merely quoting you as a source. Mention, citation and recommendation form a ladder: mention is presence, citation is evidence, recommendation is endorsement, and only the last one shapes a shortlist.
In plain terms
Cited means the engine trusted your page. Recommended means the engine trusted your company. They are different results and they come from different work.
Why it matters
Most AI visibility reporting stops at mention counts, which is why brands can look healthy in a dashboard while never appearing in the answer that decides a shortlist. Recommendation is the metric closest to pipeline, and the hardest to move.
How to apply it
- Separate the three outcomes in reporting — never merge mention and recommendation into one score.
- Recommendations follow third-party corroboration: reviews, comparisons, analyst and press coverage that an engine can weigh.
- Make eligibility explicit on your own pages: who you serve, what you cost, when you are the wrong choice.
- Read the full treatment of the citation-versus-recommendation gap in our methodology.
Example
Asked "which vendor should we shortlist for SOC 2 compliance automation", an AI engine names one vendor by name and states why it fits the buyer's stated team size — moving beyond citing that vendor's blog post to actively endorsing it as an option, the outcome a comparison page alone rarely produces.
Related reading
Related terms
Back to the full glossary (75 terms).
Ranking is no longer enough
You need to be cited, mentioned, and recommended.
Being cited, mentioned, and recommended are three different outcomes, and most brands only ever achieve the first one. Ranking is no longer enough because AI engines answer buyers directly and name only a short list of vendors as the recommendation — everyone else is cited in passing, if at all. Get a free AI Visibility Report to see exactly where your brand appears today across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot, where competitors are winning the recommendation instead, and what's keeping you from moving up the shortlist.