SERP Analysis

Google Search Engine Results Page analysis through SandBase. Inspect live organic rankings, identify SERP features, discover related searches, and analyze autocomplete suggestions. Read the API map before selecting a capability.

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

• SERP data is a snapshot — rankings change. Note the observation timestamp.
• Distinguish organic results from paid, featured snippets, and other SERP features.
• Specify country, language, and device for accurate results.
• Use related searches and autocomplete for query expansion research.

Workflow

1. Inspect organic SERP

Use dataforseo_v3_serp_google_organic_live_advanced to get live organic results for a query.

2. Discover related queries

Use dataforseo_v3_serp_google_related_searches_live_advanced to find related searches. Use dataforseo_v3_serp_google_autocomplete_live_advanced for autocomplete suggestions.

Output

Return: top organic results (title, URL, position, SERP features), featured snippets, People Also Ask, related searches, and competitive analysis.

Example tasks

• "What's ranking on page 1 of Google for [keyword] in the US?"
• "What SERP features appear for [keyword]? (featured snippet, videos, images, PAA)"
• "Find Google autocomplete suggestions for [seed keyword]."
• "What related searches does Google show for [query]?"
• "Compare the SERP for [keyword A] vs [keyword B] — who ranks for both?"