Evidence layer
Technical crawls, on-page checks, Search Console performance, keyword intelligence, SERP context, competitor footprints, and backlinks.
AI SEO platform architecture
One search intelligence layer. Every agent in your stack.
SearchSignal combines a human-review workspace with MCP and HTTP delivery, so audits, keywords, competitors, rankings, backlinks, and priorities remain current wherever the work happens.
Search ecosystem
Sites, crawls, Google Search Console, keyword metrics, SERPs, backlinks, competitors, and saved project research.
SearchSignal workspace
Normalize the data, preserve project context, score opportunities, and keep the highest-value work visible.
Your AI stack
Cursor, Claude, ChatGPT, Windsurf, VS Code, or any HTTP agent can retrieve the evidence and act on it.
Platform layers
Built around the decision, not the chart.
The product organizes data into a workspace that can answer “what matters now?” instead of forcing an agent to reconstruct meaning from disconnected API responses.
Decision layer
Health snapshots, severity, impact, effort, intent, opportunity scoring, status, and the context behind a recommended move.
Delivery layer
Human-review UI, MCP for compatible clients, and an authenticated HTTP API for ChatGPT workflows and custom agents.
Agent-ready output
A compact briefing instead of a context dump.
The strongest agent workflow is not “send every row.” It is a structured packet that identifies the project, surfaces the evidence, orders the opportunities, and preserves the next action.
- Project identity, connected data sources, and freshness
- Latest audit health and the most important affected URLs
- Open opportunities ranked by expected impact and effort
- Keyword targets, intent, SERP context, and saved lists
- Clear handoff for research, implementation, or reporting
Example workspace response
{
"project": "example.com",
"workspace_status": "current",
"health_score": 87,
"top_opportunities": [
{
"title": "Repair internal-link gaps",
"affected_pages": 14,
"impact": "high",
"effort": "medium"
}
],
"next_action": "Create a file-by-file plan"
}Capability map
The complete workspace, callable through one connection.
Every feature supports a different part of the same operating loop: understand the site, find demand, choose the move, and ship the work.
Projects
Organize domains, data sources, audit histories, saved keywords, competitors, and content context.
Site audits
Crawl technical and on-page issues with health scores, severity, impact, and affected URLs.
Opportunities
Turn findings into a practical queue ranked by impact and effort, with status and next steps.
Keyword intelligence
Explore metrics, intent, trends, SERPs, ideas, lists, and bulk keyword sets.
Competitive intelligence
Inspect domain footprints, missing topics, organic keywords, traffic estimates, and backlink context.
Rank tracking
Monitor Google Search Console clicks, impressions, positions, and project-level movement.
Backlinks
Import free data or use live Pro backlink summaries and referring-domain information.
Content briefs
Build titles, outlines, entities, supporting terms, and targets from the research already in the workspace.
AI delivery
Use MCP, HTTP, workspace packs, and the optional UI to move context into the tool doing the work.
Design principles
Powerful without becoming another maze.
The platform should feel like infrastructure to an agent and a focused command center to a person.
Current
The agent should know which project data is fresh and which source produced it.
Structured
Outputs should be predictable enough for reliable prompts, automations, and implementation loops.
Prioritized
Every workflow should reduce a large data set to a defensible order of operations.
Optional UI
People can inspect the workspace, but agents do not need a browser session after connection.
Connect once. Ask anywhere.
Build on a search intelligence layer designed for agents.
Start with the full Free workflow, connect MCP or HTTP, and add licensed depth only when your operation needs it.