SEO library
Run SEO from your AI assistant
Four strategies for the person who already has Claude, ChatGPT or Cursor open and wants the SEO work to happen there: what to connect and the first five prompts, what a schedule does and what stays with a person, why the brief is the human's job, and how to make a good run happen again. Each one is built on real MCP runs and ends with a copy-paste prompt.
How to run SEO through an AI agent and keep the decisions
Give the agent the data, keep the decisions, write the brief yourself, and make every run leave a trace.
- 01
Run SEO from your AI assistant: the MCP workflow
Connect one server and the assistant you already use can read Search Console, pull keyword data and check rankings in the same conversation. The first five prompts, and why a human still reads the output.
Read the guide - 02
What to automate and what to keep: the dispatcher rule
A scheduled rank check runs without anyone watching. A decision about which keywords go in it does not. Three layers, not two.
Read the guide - 03
Human in the loop content: the brief is the job
Humans write the brief, the model drafts, humans edit. Plus the two checks that catch the draft that reads like everyone else's.
Read the guide - 04
Skills, memory and the trace: make the good run repeatable
Save the workflow as a reusable prompt, give the assistant a memory it reads every run, and make it write down every step. Plus the two checks that catch the confident wrong answer.
Read the guide
Why this is different from AI search visibility
Two things get called “AI SEO” and they point in opposite directions. One is you using an AI assistant to do the work: pull the data, run the audit, draft the page. The other is an AI assistant mentioning your brand when someone asks it a question. These guides cover the first. They tell you how to get the work done through a model, and where the person stays. Being cited is the subject of AI search visibility.
The practitioners quoted in these four guides run SEO through agents every day, for clients and on their own sites, and they agree on more than you would expect: the agent is a fast driver with a short attention span, the person is the dispatcher, the brief is where the knowledge lives, and the run that cannot be repeated was not worth the tokens. Every strategy is built on a real MCP run, including one where the data came back with an AI agent’s own prompt in it.
What the Ranktide MCP gives an agent
One server, connected to Claude, ChatGPT or Cursor. Through it the assistant reads Search Console performance and URL inspection for a connected property at no credit cost, pulls keyword metrics and research, fetches live SERP results, reads domain and backlink data, creates and runs rank trackers with a cost estimate first, starts and reads site audits, runs local rank grids, and reads and updates the project’s shared context. Research calls that hit a data provider use credits and say so before they run.
You do not need a Google Cloud project of your own: Search Console connects from the app. Setup for each assistant is in the MCP docs, and the MCP page shows what you can ask for.
Where these guides end
Three things an agent workflow cannot give you, and where to get them.
- Whether an AI assistant recommends you. That is the other direction of the arrow, measured by AI search visibility, and driven by the same things that drive Google: relevant links, mentions and a site that answers the question.
- The judgement about which keyword is worth it. An agent can list every query at positions 4 to 20 in seconds; search-intent mapping is how a person decides which of them to want.
- The number the business reads. An agent drafts the report from the rank tracker and Search Console. The shape that gets read is one a person gives it.
AI agent SEO FAQ
What is AI agent SEO?
Doing SEO through an AI assistant that can call tools: reading Search Console, pulling keyword and SERP data, checking rankings, running a crawl, and drafting from the results, inside one conversation. It is a way of working, not a way of being found. How AI assistants decide to mention your brand is a separate subject, AI search visibility.
Can AI do SEO for me?
It can fetch, filter, sort and draft faster than a person. It cannot tell a bot query from a human one, decide which keywords are worth the budget, or know what a client will act on. The workflows here put an agent on the fetching and drafting and keep a person at the decisions and the final check.
What is MCP and do I need it for SEO?
The Model Context Protocol lets an AI assistant call external tools and receive data. Without it the assistant knows only what it was trained on and what you paste in. With an SEO MCP server connected, it reads first-party and research data directly. The Ranktide MCP works in Claude, ChatGPT and Cursor, and in other MCP clients such as Claude Code and Codex.
Which SEO tasks should be automated and which should not?
Automate anything with a fixed input and output and no judgement: scheduled rank checks, Search Console pulls, exports. Let an agent do variable-input work that a person reads: summaries, bucketing, drafts. Keep decisions with a person: what to track, what to build, what to say to the client, and any process you cannot yet write down.
Should AI write my SEO content?
It should write the draft, from a brief a person wrote that carries the reader, the data and verbatim quotes. It should not write the brief, and a person should edit the result with a fact pass and a pass for machine-writing phrases. Teams that run the loop the other way round produce polished pages with nothing in them.
How do I make an AI agent's SEO work repeatable?
Three habits: save the workflow as a prompt or skill file the assistant reads, give it a memory such as a project context it loads before each run, and have it log every tool call so each number in its output traces to a data source. A blank chat is the highest-variance way to use a model, and these habits remove most of the variance.
What does the Ranktide MCP give an agent?
Search Console performance and URL inspection at no credit cost, keyword metrics and research, live SERP results, domain and backlink data, rank tracking with cost estimates, site audits, local rank grids, and the project's shared context. Calls that fetch from a data provider use credits and say so before they run.
Connect Ranktide to your assistant
One MCP server gives Claude, ChatGPT or Cursor your Search Console, keyword, ranking, audit and backlink data. Start with 1,000 free credits. No card needed.