Published July 12, 2026
Editorial and evidence policy
AgentSEO publishes technical guidance about APIs, search systems, and agent workflows. This policy explains how that work is created, tested, sourced, updated, and corrected.
Who creates the content
AgentSEO articles are published under a named human author. The author page explains the author’s role and relevant operating background. A byline is not used to imply review by someone who did not review the work.
How automation is used
AI and automation may support research organization, outlining, code review, editing, and quality checks. Material product claims, test results, recommendations, and final publication decisions require human review. Automation is not treated as a source.
What counts as evidence
Product claims should point to a reproducible test, public documentation, a clearly labeled first-party observation, or an authoritative external source. Directional samples remain labeled as directional samples.
How dates are handled
Published dates describe first publication. Updated dates are changed only when the article receives a substantive revision, new evidence, corrected guidance, or a material product change.
How comparisons are handled
Competitor and alternative pages state the evaluation boundary, distinguish documented facts from AgentSEO opinion, and identify where a competing product is the better fit.
How corrections work
Factual errors, broken examples, and outdated product behavior are corrected in place. Material corrections should be reflected in the updated date and, when useful to readers, a short correction note.
Publication gate
A search-targeted article should not be published solely because a keyword exists. It must serve a defined AgentSEO audience and add at least one useful element that is difficult to replace with a generic summary.
- A real command, output, workflow, or failure mode
- An original table, benchmark, dataset, or decision framework
- A source-backed correction to common industry guidance
- A clearly stated product boundary or tradeoff
Research claims
Quantitative first-party claims are published with sample size, method, date, measurement unit, and limitations. See the AgentSEO Research section for current public benchmarks and machine-readable data.
Report a correction
Send the page URL, disputed statement, and supporting source to hello@agentseo.dev. Product and documentation errors are prioritized because readers may depend on them in live workflows.