Query or prompt
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Data Marketplace · Search & AI answers
Measure search results and AI answers with every query, prompt, engine, locale, result, citation, and collection time connected.
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Compare datasets
Choose between ranked search results and generated answers, then define the query set, market, language, device or mode, and observation schedule.
Google Search
Monitor Google result snapshots with query, location, language, device, result type, rank, destination, and collection time connected.
Query
SERP snapshot
Result
Feature block
View Google Search dataset →
ChatGPT
Track ChatGPT answers, named entities, recommendations, citations, and answer changes across a repeatable prompt set.
Prompt
Answer
Conversation turn
Named entity
View ChatGPT dataset →
What the records preserve
Visibility records preserve the exact query or prompt, engine or mode, geography, language, device context, result structure, and collection time.
How to evaluate the collection
Check the records in the tools and models that will use them, then choose the refresh pattern and file structure your team can run repeatedly.
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Name the entities, markets, fields, history, and business output the collection must support.
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Test identifiers, field meaning, joins, missing states, and source context in a representative sample.
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Select the snapshot or recurring schedule, format, partitioning, manifest, and destination.
Connected journeys
Continue into the data model, industry, or solution page closest to your use case.
Search results & SERPs Explore search-result data models. Search visibility monitoring Track ranks, domains, and SERP features. AI search visibility Monitor answers, mentions, and citations. Managed Data Build a custom, fully operated data program. Web Archive Search historical public-page snapshots.
More data families
Build your data brief
Tell us which entities, markets, fields, dates, and destination matter. We will connect those requirements to the most relevant marketplace collection.