SERP API Example

Ai mentions with DataSEO

2 weeks
Integration to full deployment
Sample
Research capability improvement
24/7
Real-time intelligence access
Example workflow
AI visibility
Product family
AI Platform
Example scope
Sample
API
Illustrative workflow. Collect supported model responses and investigate available consumer AI answers. Keep official API output separate from consumer-interface observations, indexed mentions and estimated prompt demand.
Illustrative workflow
Illustrative workflow
SERP API Example

Investigate brand, product and domain visibility in indexed AI answers. Review the prompt, answer context and cited pages before interpreting a mention.

Search brand mentions and citations

Compare target visibility

Use target metrics, multi-target comparisons and top mentioned pages or domains to understand how brands and sources appear across supported AI data.

Research estimated prompt demand

Collect official model responses

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.

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.

Inspect consumer AI interfaces

Follow historical AI visibility

Use target metrics, multi-target comparisons and top mentioned pages or domains to understand how brands and sources appear across supported AI data.

Workflow example

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.

Search brand mentions and citations

Run prompts through supported model APIs and preserve the model and request options. Compare responses using a consistent prompt set.

Compare target visibility

Research estimated prompt demand

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.
Implementation

Collect official model responses

Inspect consumer AI interfaces

Structured search result records

Source-specific collection
Keyword and market inputs
Selected response fields

Follow historical AI visibility

Collect a supported model response.

Source-dependent
Response text
Keep method and source settings