01
AI Mode answer results
Use AI Mode answer results to support generative search visibility, with prompt, answer, model or mode, citation, and collection-time context attached to each record.
All Data API targets
Data API•Managed extraction
Google AI Mode Scraper API
Measure how Google AI Mode answers important queries, cites sources, and guides follow-up discovery across markets and devices.
Structured output · Source-aware fields · Parser maintenance included
Available data
Explore Google AI Mode source views for generative search visibility.
Bring query and prompt text, answer modules and layout, and cited URL, domain, and title together across AI Mode answer results, citation panels and source cards, and follow-up query and result paths to support generative search visibility. Track whether your brand, products, and priority topics appear in AI Mode answers for the queries that shape discovery.
02
Citation panels and source cards
Turn citation panels and source cards into structured inputs for AI citation share analysis; preserve prompt, answer, model or mode, citation, and collection-time context.
03
Follow-up query and result paths
Use follow-up query and result paths to give answer experience monitoring a source-linked view with prompt, answer, model or mode, citation, and collection-time context.
Business use cases
Put Google AI Mode data to work across generative search visibility and AI citation share analysis.
Connect query and prompt text, answer modules and layout, and cited URL, domain, and title to generative search visibility, AI citation share analysis, and answer experience monitoring. Compare cited domains and citation placement to see which publishers earn visibility across your query portfolio.
Structured output
Build Google AI Mode records around query and prompt text, answer modules and layout, and cited URL, domain, and title.
Combine query and prompt text, answer modules and layout, and cited URL, domain, and title with prompt, answer, model or mode, citation, and collection-time context so every record is ready for comparison and analysis. Detect changes in answer structure, source selection, and follow-up paths across locales, devices, and time.
01
Query and prompt text
Capture query and prompt text with conversation and collection context for Google AI Mode evaluation and monitoring.
02
Generated answer content
Pair generated answer content with currency, market, and collection time for clear Google AI Mode comparisons.
03
Answer modules and layout
Use answer modules and layout to compare Google AI Mode answers, citations, and result patterns across prompt sets.
04
Cited URL, domain, and title
Keep cited URL, domain, and title alongside its Google AI Mode page or entity context for richer downstream analysis.
05
Citation placement in the answer
Keep citation placement in the answer connected to the prompt, model or mode, and timestamp for repeatable Google AI Mode analysis.
06
Linked source-card context
Use linked source-card context as a source-linked text input for Google AI Mode classification and comparison workflows.
07
Suggested follow-up queries
Track suggested follow-up queries across representative Google AI Mode records and refreshes.
08
Locale, device, and capture time
Keep locale, device, and capture time attached to each Google AI Mode record for location-aware analysis and comparison.
How it works
From AI Mode answer results to query and prompt text records in four steps.
WebScrapingAPI turns AI Mode answer results into query and prompt text and answer modules and layout records while maintaining collection and parsers.
- 01
Choose source views
Start with AI Mode answer results, citation panels and source cards, and follow-up query and result paths, then choose the prompts, answer views, models or modes, and citations required for generative search visibility.
- 02
Select data fields
Focus the output on Query and prompt text, Generated answer content, and the additional context your application uses.
- 03
Receive structured records
Send query and prompt text, answer modules and layout, and cited URL, domain, and title to answer monitoring, evaluation, and AI visibility systems, with prompt, answer, model or mode, citation, and collection-time context attached.
- 04
Scale with managed quality
WebScrapingAPI maintains access, extraction logic, parsers, and product-level monitoring as your workload grows.
Managed maintenance
A maintained Google AI Mode path for answer experience monitoring.
We maintain AI Mode answer results and citation panels and source cards, map query and prompt text, answer modules and layout, and cited URL, domain, and title, and monitor record quality for answer experience monitoring.
Your team receives query and prompt text, answer modules and layout, and cited URL, domain, and title ready for generative search visibility.
WebScrapingAPI
Managed Google AI Mode collection
- AI Mode answer results access
- Query and prompt text and Answer modules and layout mapping
- Parser maintenance for citation panels and source cards
- Quality monitoring for generative search visibility
Ready for your team
Google AI Mode data built to move
- Apply Query and prompt text and Answer modules and layout to AI citation share analysis
- Connect linked source-card context to your applications
- Build AI citation share analysis into dashboards, models, or alerts
- Scale answer experience monitoring by volume and refresh cadence
Get started
Start with Google AI Mode sample records for AI citation share analysis.
Start with AI Mode answer results and citation panels and source cards and see query and prompt text, answer modules and layout, and cited URL, domain, and title in structured output for AI citation share analysis.
Sample data
Start with representative Google AI Mode records.
Choose AI Mode answer results and see query and prompt text, answer modules and layout, and cited URL, domain, and title in structured output shaped for generative search visibility.
Talk to a data expertFAQ
Google AI Mode Scraper API FAQs.
Learn what data is available, how maintenance works, and how to get started.
What does the Google AI Mode Scraper API cover?
Google AI Mode Scraper API turns AI Mode answer results, citation panels and source cards, and follow-up query and result paths into structured records for generative search visibility, AI citation share analysis, and answer experience monitoring.
Which Google AI Mode answer views can I collect?
Choose from AI Mode answer results, Citation panels and source cards, and Follow-up query and result paths, then select the prompts, answer views, models or modes, and citations and fields required for generative search visibility.
Which fields can Google AI Mode records contain?
Available field families include Query and prompt text, Generated answer content, Answer modules and layout, Cited URL, domain, and title, Citation placement in the answer, and Linked source-card context. Request a sample shaped around query and prompt text, answer modules and layout, and cited URL, domain, and title.
How do I start collecting Google AI Mode data?
Start free or request sample Google AI Mode data. Our team can help you choose the source views, fields, and delivery option that fit your workflow.
Who maintains Google AI Mode source access and parsing?
WebScrapingAPI handles Google AI Mode source access, extraction, parser maintenance, and product-level quality monitoring so your team can focus on generative search visibility.
How can Google AI Mode data fit my existing workflow?
Send query and prompt text, answer modules and layout, and cited URL, domain, and title to answer monitoring, evaluation, and AI visibility systems. Start with sample Google AI Mode data, then scale volume and refresh cadence as your workflow grows.
How is Google AI Mode Scraper API priced?
Pricing depends on source, volume, frequency, fields, and delivery method. Start free for an initial test or talk to a data expert for a plan matched to your workload.
Your Google AI Mode data
Bring Google AI Mode data into answer experience monitoring.
Start with AI citation share analysis, or request sample Google AI Mode records built around query and prompt text, answer modules and layout, and cited URL, domain, and title for answer experience monitoring.