Glossary

Conversational Search

Searching by asking full questions and follow-ups in natural language, where each answer builds on the previous turn.

In one sentence

Conversational search is searching by asking full questions in natural language and following up, so each answer builds on the context of earlier turns.

What it means

Users write long, specific prompts and refine them: "best CRM for a five-person agency", then "which of those integrates with Xero?". Each turn narrows the set, and brands can be dropped at any step.

That makes a single ranking position less meaningful. What matters is whether you stay in the set as constraints are added, which depends on your pages stating specifics such as integrations, pricing and limits.

What to do about it

Publish precise, comparable facts, so you survive the narrowing questions. Track follow-up style prompts as well as opening questions, and include qualifiers your buyers use, such as size, region and budget.

Read the full answers, not only the summary metrics. The wording of caveats and comparisons shows which of your facts the engine picks up and which it ignores. Keep follow-up prompts in the set too.

How Pineprompt measures it

Pineprompt tracks the prompts you define, including long and qualified ones, and does not simulate multi-turn sessions. See prompt tracking.

Frequently asked

What is Conversational Search?
Conversational search is searching by asking full questions in natural language and following up, so each answer builds on the context of earlier turns.
How does Pineprompt measure Conversational Search?
Pineprompt tracks the prompts you define, including long and qualified ones, and does not simulate multi-turn sessions. See prompt tracking.

Related terms

Track how buyers actually ask.

Add qualified, real-world prompts in prompt tracking.