Data Marketplace · Search & AI answers
Search & AI Answer Datasets
Measure search results and AI answers with every query, prompt, engine, locale, result, citation, and collection time connected.
Compare datasets
Choose a source built around the records you need.
Choose between ranked search results and generated answers, then define the query set, market, language, device or mode, and observation schedule.
Google SERP Results Dataset
Monitor Google result snapshots with query, location, language, device, result type, rank, destination, and collection time connected.
- Query
- SERP snapshot
- Result
- Feature block
ChatGPT Answers Dataset
Track ChatGPT answers, named entities, recommendations, citations, and answer changes across a repeatable prompt set.
- Prompt
- Answer
- Conversation turn
- Named entity
What the records preserve
Keep the context that makes every value usable.
Visibility records preserve the exact query or prompt, engine or mode, geography, language, device context, result structure, and collection time.
- Built forSEO and SERP research
- Built forAI answer and citation monitoring
- Built forSearch-market analysis
How to evaluate the collection
Move from a representative sample to production-ready delivery.
- 01
Define the data outcome
Name the entities, markets, fields, history, and business output the collection must support.
- 02
Review source-linked records
Test identifiers, field meaning, joins, missing states, and source context in a representative sample.
- 03
Set refresh and delivery
Select the snapshot or recurring schedule, format, partitioning, manifest, and destination.
Connected journeys
Put the data to work across your stack.
More data families
Explore another dataset category.
Build your data brief
Start with sample data for search & AI answers.
Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.