Smaller, clearer calls
Retrieve only the project evidence required for the current decision instead of flooding the model context.
Commercial guide · SEO API
An SEO API designed for AI agents—not raw metric dumping.
SearchSignal exposes task-shaped SEO intelligence through authenticated HTTP requests. Custom agents can retrieve compact project evidence, reason over it, and hand a controlled plan into the system where the work happens.
Bearer API on FreeSame token as MCPTask-oriented response shapes
YOU
Call the SearchSignal workspace pack for the authorized project. Return freshness, coverage, the primary bottleneck, three ranked actions, and the evidence IDs needed for follow-up.
SEARCHSIGNALworkspace_packlatest_auditlist_opportunities
Evidence retrievedcurrent project scope
- Primary bottleneck identified
- Affected URLs and supporting signals attached
- Implementation and verification path prepared
Why the category matters
Traditional SEO APIs return data. Agents need usable context.
A giant response full of loosely related metrics forces the model to guess at scope, freshness, and importance. SearchSignal focuses on stable, task-oriented retrieval: the latest audit, prioritized opportunities, a keyword exploration, or a compact workspace pack.
Agent-safe metadata
Include project identity, generated time, coverage, partial-data flags, and stable object references.
One credential model
Use the same revocable token for compatible MCP clients and authorized HTTP agents.
Designed for follow-up
Move from summary to detail through explicit tool calls rather than one oversized endpoint.
The operating architecture
A predictable path from request to reviewed action.
SearchSignal separates evidence retrieval from model reasoning and production changes. That gives the agent current context without making the data layer responsible for uncontrolled execution.
Authenticate
Send a SearchSignal Bearer token over TLS and resolve the authorized project scope.
Call
Request a workspace briefing or a focused audit, opportunity, keyword, competitor, ranking, or backlink tool.
Interpret
Have the agent state freshness, distinguish evidence from inference, and identify missing inputs before recommending work.
Control
Require approval for consequential changes and log the evidence IDs behind the final decision.
Work it can support
Built around jobs—not vanity metrics.
The value is not merely that a model can read SEO data. The value is that the model can retrieve the right evidence at the moment it is planning, writing, coding, reporting, or verifying.
ChatGPT and custom GPT workflows
Call SearchSignal from an approved action, connector, or application backend and return current SEO context to the conversation.
Internal growth agents
Add search evidence to a multi-step agent that researches, prioritizes, prepares a brief, and hands the result into a CMS or issue tracker.
Agency reporting automation
Retrieve project summaries, changes, and open work in a consistent format before generating a reviewable client update.
CI and release checks
Use focused audit or page checks around deployments while keeping private routes and credentials outside the public build.
Prompt library
Ask for decisions with an evidence contract.
These prompts force the agent to state freshness, separate observations from inference, and return work that another person can review.
API briefing
Call the SearchSignal workspace pack for the authorized project. Return freshness, coverage, the primary bottleneck, three ranked actions, and the evidence IDs needed for follow-up.
Release review
Retrieve the latest audit and compare it with the previous comparable run. Flag regressions introduced by the release and produce a developer-ready issue list.
Programmatic content brief
Explore the approved keyword, retrieve current competitor and project context, and return a brief with intent, differentiation, entities, internal links, and claims that require human fact-checking.
Error discipline
When SearchSignal returns stale, partial, unauthorized, rate-limited, or unavailable data, stop and explain the exact state instead of filling gaps from assumption.
The workflow change
From exported data to callable intelligence.
SearchSignal is strongest when it removes context assembly without removing judgment, authorization, or verification.
| Work | Disconnected workflow | SearchSignal workflow |
|---|---|---|
| Endpoint design | Database-shaped collections and raw exports | Task-shaped tools for agent decisions |
| Response size | Large payloads consume context and hide the signal | Compact summary first, detail on explicit follow-up |
| Freshness | Often implicit or absent | Generated time and coverage travel with the result |
| Errors | Generic failures encourage guessing | Typed states for auth, scope, freshness, limits, and availability |
| Governance | API key copied into every workflow | One controlled token with rotation and revocation |
Go deeper
Category education, implementation, and product detail.
Commercial pages answer whether SearchSignal fits. The guides and documentation explain how the system works and how to deploy it responsibly.
Related
SEO API design for AI agents
Read the deeper architecture, authentication, error, caching, and evaluation guide.
Explore →RelatedChatGPT integration
See the recommended HTTP connection path for ChatGPT and custom GPT workflows.
Explore →RelatedDeveloper documentation
Review the API base, authentication pattern, tools, examples, and production checks.
Explore →Frequently asked questions
Clear answers before you connect.
The product is positioned around audits, prioritized opportunities, keyword exploration, competitor context, rankings, backlinks, content workflows, and compact workspace briefings. Exact tool schemas should be verified against the deployed documentation.
The currently published positioning includes Bearer HTTP API access on the Free plan alongside MCP access.
Keep it in a server-side secret manager or the approved client credential store. Do not put it in public JavaScript, HTML, screenshots, analytics, logs, or source control.
For production, route privileged calls through a controlled backend unless the application has a carefully designed user-scoped authorization model. Avoid exposing long-lived tokens to public client code.
MCP provides tool discovery and invocation inside compatible clients. The HTTP API provides a general authenticated transport for ChatGPT-based workflows, custom agents, automation, and application backends. SearchSignal uses one token model across both.
Connect once. Ask anywhere.
Put live search evidence inside the agent you already use.
Create a free SearchSignal workspace, connect one token, and ask for the first project briefing without rebuilding the context by hand.