About AgentSEO
Search evidence.
Built to work with.
We build SEO tools for people building agents, apps, and repeatable workflows. AgentSEO turns search data into structured responses your software can use.
Cofounded by Daniel Martin through Joy Technologies, AgentSEO connects search research to the systems developers, technical marketers, and agencies run every day.
Meet the people behind itSearch evidence
Queries, search results, rankings, and page context.
AgentSEO
Selected fields, structured JSON, and workflow summaries.
Your workflow
An agent, application, or automation you control.
Conceptual workflow. Available fields and evidence depend on the endpoint and source response.
Why we build
Getting the data is
only the beginning.
A search response can tell you a lot. Turning it into a dependable workflow takes more: consistent fields, clear inputs, and a way to handle work that takes longer than one request.
AgentSEO brings that integration work into one API layer. Use it to compare content gaps, check keyword and location pairs, research competitors, or follow recorded ranking changes. Connect through REST or MCP and keep the next decision in your own system.
We focus on making the evidence usable. A sampled ranking is still a sample; a suggested action still needs judgment. Search results and AI answers can change, and no API can promise a ranking or citation.
Explore the documented workflowsPeople & accountability
A name behind the product.
Daniel Martin is a cofounder of AgentSEO and cofounder and CMO of Joy Technologies.
His AgentSEO writing covers SEO infrastructure for AI agents, MCP workflows, and practical API execution. You can read his work, inspect its sources, and contact him directly about the product or a correction.
The company behind AgentSEO
AgentSEO is part of Joy Technologies LLC. Joy Technologies is listed on the Inc. 5000 at No. 869 in 2025 and No. 4,075 in 2026.
This recognition belongs to Joy Technologies. The product evidence below is specific to AgentSEO.
Evidence from our own product
Smaller responses.
A method you can inspect.
Our published search payload study compares provider task results with AgentSEO’s enriched output, including structured fields and a Markdown summary.
72.6%
Average per-query reduction in payload bytes.
Three queries, measured July 12, 2026 using UTF-8 bytes of minified JSON. This small sample does not establish token savings, faster responses, or lower costs for every workflow.
Read the method, data, and limitationsseo api
rank tracking api
content gap analysis api
First-party measurements. Provider response wrappers excluded; AgentSEO enriched output includes agent support and summary fields.
Evaluate us before you integrate
The work is open to inspection.
Inspect the API
Endpoints, authentication, inputs, and response shapes you can build against.
Read the API reference →Examine the research
Original measurements with the sample, method, and limitations attached.
Explore our research →Challenge a claim
Our sourcing, AI assistance, and correction standards are published for review.
Read the editorial policy →Talk to the people building it.
Product questions, integration feedback, or a correction to something we published.
daniel@joytechnologies.com