Agent SEO Copilots
Give an autonomous agent a reliable search-intelligence loop instead of forcing it to scrape pages and guess what to do next.
Best Fit
Builders using MCP, custom agents, LangChain, OpenClaw, n8n, or internal workflow runners.
Primary Goal
Turn vague requests like “find the best page to improve next” into deterministic, tool-driven decisions.
- Start with /search or /analyze/serp to understand the current SERP, features, and likely intent.
- If the keyword looks local, branch into /audit/local or /local-visibility/track.
- If the page opportunity is editorial, branch into /content/gap for missing topics and a compact content brief.
- If the query triggers AI surfaces, branch into /ai-overview/extract to inspect whether AI Overview is present and what domains appear in the sampled candidate set.
- Use /jobs/{id} or /jobs/{id}/events to let the agent wait on long-running work without losing state.
Recommended Endpoints
/search/analyze/serp/content/gap/ai-overview/extract/jobs/{id}/jobs/{id}/events
What You Get Back
- •serp_opportunity or agent_support to help the agent pick the next branch
- •agent_workflow with decision, evidence, recommended actions, and next_calls
- •pollable job status for long-running steps