Explore the complete AI SEO operating loop: connect a workspace, inspect current evidence, choose the next move, deliver context to an agent, and verify what changed.
Each screen solves a different part of the same operating problem. Together they give people and agents a current, defensible order of operations.
See technical health, real search movement, open opportunities, connected agents, workspace coverage, and the highest-leverage queue in one operating view.
Move past issue counts. SearchSignal attaches severity, affected routes, impact, ownership, crawl history, and verification context to the technical problem.
Rank work using expected impact, effort, confidence, source evidence, and freshness so the next task is more than whoever shouted loudest.
Bring demand, difficulty, CPC, intent, trends, SERP composition, clusters, and project fit into one research surface with a clear recommended asset.
Compare topic coverage, organic footprint, share of voice, authority, and ranking overlap to identify gaps your project can realistically own.
Use Google Search Console clicks, impressions, positions, query movement, and page-level winners or losses to validate the decisions made elsewhere.
See referring-domain growth, authority distribution, meaningful losses, target routes, and the recovery action rather than treating every link as equal.
Package the primary target, intent, angle, evidence, outline, entities, internal links, and delivery route so the next agent starts with a reliable specification.
Use MCP in compatible clients and Bearer authorization in HTTP agents. Create, rotate, and revoke access from one workspace while preserving server-side authorization.
The product tour gives a buyer a concrete view of each workspace and the evidence-to-action loop before signup.
Start free, connect one credential, and let your AI retrieve current project context from the environment where the work will happen.
