Projects and site audits
Organize domains, data sources, crawl histories, issues, affected routes, severity, health, and the context needed to correct the cause.
Technical intelligence →AI SEO platform architecture
One SEO workspace. Every agent in your stack.
SearchSignal combines a human-review workspace with MCP and authenticated HTTP delivery, so audits, keyword demand, competitor gaps, rankings, backlinks, briefs, and priorities remain current wherever the work happens.
Project-aware outputsSource and freshness contextHuman review included
01 · Source-awareKnow where the evidence came from.Measured performance, crawl findings, licensed metrics, and saved research remain distinguishable.
02 · Project-scopedKeep context attached to the workspace.Domains, audits, lists, priorities, and history stay connected instead of becoming another export.
03 · Agent-deliveredCall the workspace through MCP or HTTP.Use the same authorized evidence in Cursor, Claude, ChatGPT, Windsurf, VS Code, and custom agents.
04 · Human-reviewableInspect the decision before it ships.The interface remains available while the agent handles retrieval, synthesis, and handoff.
Three platform layers
Collect the evidence. Preserve the context. Deliver the decision.
Agents perform better when they receive a current project picture rather than disconnected rows with no explanation of what matters.
Evidence layer
Current search signals
Technical crawls, on-page findings, Search Console performance, keyword metrics, SERP context, competitor footprints, backlinks, and saved research.
CRCrawls and checksURLs, templates, issue history
GSCMeasured performanceClicks, impressions, positions
3PLicensed search dataDemand, SERPs, and backlinks on Pro
Decision layer
Project-aware intelligence
Normalize data around the domain, preserve source and freshness, connect related findings, and order the work by expected value.
CTXWorkspace contextProject identity, sources, history
OPOpportunity queueImpact, effort, confidence, status
PKCompact workspace packsEvidence shaped for the next task
Delivery layer
Human and agent access
Inspect through the workspace, call tools through MCP, or retrieve authenticated JSON through HTTP for custom agents and automations.
UIReview interfacePlan, inspect, approve, verify
MCPMCP clientsCursor, Claude, Windsurf, VS Code
APIHTTP agentsChatGPT and custom systems
Agent-ready output contract
A compact briefing instead of a context dump.
The most useful response identifies the project, reports source freshness, surfaces the decisive evidence, orders the opportunities, and gives the next tool or human a clear handoff.
Meaning, not only rows.
A reliable agent response needs enough structure to act and enough provenance to know when to stop and ask for review.
Illustrative workspace_pack responsestructured JSON
{
"project": "example.com",
"workspace_status": "current",
"sources": {
"audit": "2026-07-27T14:42:00Z",
"search_console": "2026-07-27T14:51:00Z"
},
"top_opportunity": {
"title": "Repair internal-link gaps",
"affected_pages": 14,
"impact": "high",
"effort": "low",
"confidence": "high",
"evidence": ["audit", "gsc"]
},
"next_action": "Create a file-by-file plan",
"verify": "rerun audit and monitor target queries"
}Capability map
The complete workspace, through one connection.
Every capability supports the same loop: understand the project, find demand, choose the move, deliver the work, and verify the outcome.
Keywords and market research
Explore volume, CPC, difficulty, intent, trends, SERPs, ideas, lists, bulk sets, and the page decision that follows.
Keyword intelligence →
Rankings and Search Console
Track clicks, impressions, positions, query movement, winning pages, losses, and the evidence needed to verify shipped work.
Performance tracking →
MCP, HTTP, and human review
Use the optional UI for inspection and governance, MCP for compatible clients, and authenticated HTTP for custom agents.
Connect your AI →Platform design principles
Powerful without becoming another maze.
An agent gets a clean, predictable interface. A person gets a focused command center.
Current
Every workflow should reveal how fresh the underlying source is and whether the data is measured, estimated, or saved research.
Structured
Outputs should be predictable enough for reliable prompts, automations, implementation plans, and verification loops.
Prioritized
Each workflow should reduce a large evidence set to a defensible order of operations instead of another list to sort.
Reviewable
Humans can inspect and direct the workspace, while agents retrieve only the context needed for the authorized task.
The product behind the page
A real platform needs a distinct operating model.
SearchSignal combines evidence, prioritization, agent delivery, and verification into one project-aware layer instead of presenting a collection of unrelated metrics.
01SignalGraph organizes the evidence.
02Opportunity Engine orders the work.
03Agent Relay and Proof Loop complete delivery.
Connect once. Ask anywhere.
Your AI is ready. Give it better search evidence.
Create a SearchSignal workspace, connect one credential, and move from SEO questions to prioritized work without leaving your agent.