InsideSEO: building an SEO service with AI agents

A technical SEO analysis service I developed by directing Codex and AI agents, then deployed to a server.

The product task

A website audit involves collecting technical findings and deciding which issues deserve attention first. InsideSEO brings crawling and checks into a service that helps prepare a list of improvements.

The user submits a website address and receives technical findings with recommendations. These can support a discussion with a developer or a more detailed audit.

My contribution

I acted as the AI architect and directed development through prompts in Codex and AI-agent workflows. All frontend and backend code was created through this process.

I manually handled server deployment, SSL/TLS certificate issuance, final configuration and search-engine submission.

What you can inspect

The service is published at insideseo.ru. Its interface and analysis results provide a way to examine the website-checking workflow and the usefulness of its recommendations. The product is in Russian.

Open InsideSEO

This is my own product. The link opens the service interface; this case describes my contribution and the development method.

Scope and limitations

Automated checks help identify technical issues. The priority of a finding depends on the website, available data and the owner's goals. Findings should be checked against actual page behaviour and search-engine data.

For a new service, inputs, expected outputs and acceptance criteria should be established early. They provide a practical basis for evaluating the implementation.