Glossary

Conversational Search

Conversational search lets users ask natural-language questions, add follow-ups and refine constraints across an interaction. The meaning of a later question can depend on earlier turns, so visibility may change as the user narrows industry, budget, geography or technical requirements.

In plain terms

It is search conducted as a dialogue instead of a sequence of isolated keyword queries.

Why it matters

Brands need content that answers both broad discovery questions and specific follow-up constraints that shape a final shortlist.

How to apply it

  • Map likely follow-up questions after each high-value prompt.
  • State audience, exclusions and trade-offs clearly.
  • Test multi-turn journeys as well as single prompts.

Example

A buyer asks for CRM options, then narrows the answer to European data hosting, fewer than 100 users and a fixed budget.

Sources

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.