LLM Responses API for model research
Choose the provider and model
Run prompts through supported model APIs and collect structured response data. Compare models, request options and response context using a repeatable prompt set.
Investigate brand, product and domain visibility in indexed AI answers. Review the prompt, answer context and cited pages before interpreting a mention.
Send a user prompt
Use AI Keyword Data to investigate estimated search volume and historical demand. Keep the model, market, time period and estimate methodology distinct from exact user counts.
Brand mentions
Scope depends on source and route
Run prompts through supported model APIs and preserve the model and request options. Compare responses using a consistent prompt set.
Collect structured answers from supported consumer interfaces and retain citations when returned. Consumer-interface output and official API output can differ.
Use historical mention and time-series data to examine changes in visibility. Keep prompt scope and source settings consistent when comparing periods.
Investigate brand, product and domain visibility in indexed AI answers. Review the prompt, answer context and cited pages before interpreting a mention.
Use target metrics, multi-target comparisons and top mentioned pages or domains to understand how brands and sources appear across supported AI data.
Use AI Keyword Data to investigate estimated search volume and historical demand. Keep the model, market, time period and estimate methodology distinct from exact user counts.