{
"companies": [
{
"name": "CoreWeave",
"ipo_year": 2025,
"initial_price": "$40.00",
"largest_shareholders": ["Magnetar", "Coatue"]
},
{
"name": "Circle",
"ipo_year": 2025,
"initial_price": "$31.00",
"largest_shareholders": ["Accel", "General Catalyst"]
}
]
}
{
"companies": [
{
"name": "CoreWeave",
"ipo_year": 2025,
"initial_price": "$40.00",
"largest_shareholders": ["Magnetar", "Coatue"]
},
{
"name": "Circle",
"ipo_year": 2025,
"initial_price": "$31.00",
"largest_shareholders": ["Accel", "General Catalyst"]
},
{
"name": "Chime",
"ipo_year": 2025,
"initial_price": "$27.00",
"largest_shareholders": ["DST Global", "Crosslink Capital"]
}
]
}
Collect organic results, ads and search features across supported search engines, markets and devices. Use structured JSON, HTML and source-specific collection options for rank tracking and competitive research.
Validate keyword demand with search-volume estimates, CPC, advertising competition and historical trends. Compare search and clickstream sources to prioritize commercially relevant opportunities.
Connect keyword, domain and page intelligence to find ranking opportunities, content gaps and competitor overlap. Research ranked keywords, intent, historical visibility and market relationships.
Analyze backlinks, referring domains, anchors and link attributes. Compare competing profiles, discover link intersections and follow new and lost links with historical context.
Inspect URLs and crawl websites to investigate metadata, page status, links and technical checks. Use browser-based analysis only where the selected route and site require it.
Measure brand mentions and citations in AI answers, research estimated AI keyword demand, and compare official model responses with consumer-interface answers. Connect visibility research to the prompts and pages that matter.
Set the keyword, search engine, location, language and device. Preserve those settings with each observation so ranking comparisons describe the same audience and market.
Research organic search, maps, news, images, shopping and other supported result types. Use item types to interpret the fields returned by each endpoint.
rank_group describes a position within a result type, while rank_absolute describes placement across the results page. Keep both when ads or rich features affect visibility.
Track a consistent set of keywords, locations, and devices over time.
No. Engines and result types have their own coverage and request options. Select the endpoint that matches your workflow.
Start with the targets and markets you need to investigate. Keep the source and collection time with each SERP API response.
Combine SERP API with complementary datasets when your question spans search visibility, demand, links, page health, or AI citations.
Review field coverage and collection options for the endpoint you select before expanding a recurring workflow.
Use comparable inputs for repeated research. Inspect the source context before interpreting a change as a trend.
Plan API requests for individual tasks or discuss a bulk dataset when your analysis needs a broader historical view.
The demo records are illustrative. Discuss production access, request volume, and collection cadence with the DataSEO team.
