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AI agents

Your SEO AI agent team: five specialists, one workflow

Five AI SEO agents, each with one craft. They audit, write, optimize and publish automatically inside your GEO workflows. No black box.

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Theo, Strategist, Citeme SEO AI agent

Theo

Strategist

Marcus, GEO Strategist, Citeme SEO AI agent

Marcus

GEO Strategist

Sophia, Writer, Citeme SEO AI agent

Sophia

Writer

Brian, GEO Technician, Citeme SEO AI agent

Brian

GEO Technician

Élodie, Brand Guardian, Citeme SEO AI agent

Élodie

Brand Guardian

What is an AI SEO agent?

An SEO AI agent is a specialized autonomous program that executes a single SEO task, auditing, writing, technical optimization, or brand validation, inside automated workflows without manual input. Unlike a generic AI chatbot, it has a fixed role, defined permissions, and produces structured outputs that feed directly into the next step of the workflow. Citeme runs five SEO AI agents in a relay chain: Theo (Strategist), Marcus (GEO Strategist), Sophia (Writer), Brian (Technician), and Élodie (Brand Guardian). Each covers one layer of GEO and SEO work. Together they take a site from audit to publish with a full log and no black box.

Meet the team

A specialist for every step

Generic AI writes generic content. Citeme splits the work across five agents that mirror a real GEO team, so each step is handled by the right expertise and nothing ships without a brand check.

What AI SEO agents can do

AI agents for SEO cover five core functions: auditing your AI visibility gaps (Theo), rewriting pages to be citable by ChatGPT and Perplexity (Marcus), creating optimized content, blog posts, FAQs, meta tags (Sophia), fixing the technical layer, schema.org, alt text, canonical tags (Brian), and validating brand voice before anything ships (Élodie). Where generic seo ai agent tools hand you a list of recommendations, Citeme's agents execute them end-to-end, inside a workflow, with a full log.

011

Theo, Strategist

Reads your audits, spots the gaps against competitors and proposes the next moves in priority order. The brain that decides what to attack.

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Marcus, GEO Strategist

Marcus rewrites an existing page so it has a better chance of being cited by ChatGPT, Claude or Perplexity. He is the node for two situations the documentation names: a piece of content that no longer surfaces in AI answers, and the direct reaction to a citation you have lost. That second case is wired into the score recovery template, which watches for a fall in the GEO score, identifies the page responsible, regenerates the content with Marcus and republishes automatically. The distinction with the other agents is worth holding on to. Sophia creates new content, Brian repairs metadata and structured data, Marcus takes a page that already exists and makes it citable. Upstream, Theo is the one who decides this page is the priority. Because he is an agent node he calls a language model and consumes AI credit. And because his output is a publication candidate, it goes through the same deterministic guardrails as anything else, schema validity, minimum length and secret detection, before it can go live without a human approval.

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Sophia, Writer

Sophia is the production node. You pick a format, blog post, landing page, FAQ or meta tags, and a subject; she returns structured markdown ready to publish. Her output is addressable by the rest of the workflow through variables, the markdown body and the title tag among them, which is what makes her chainable: the documented pattern is to place her immediately before a CMS node so that what she writes ships without a copy and paste step. The ready-made templates show it in practice. The three times a week Webflow auto-blog picks up your weakest prompts on Monday, Wednesday and Friday, has Sophia write the article, has Brian generate the schema, then publishes to Webflow. The blog publication template chains prompt analysis, writing, publishing and follow-up. Two limits. Sophia writes, but does not choose the subject: Theo reads your audit results for that. And she does not sign off her own copy, Élodie checks voice and brand guidelines. Like every agent node she calls a language model and consumes AI credit, where logic and notification nodes are free.

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Brian, GEO Technician

Brian handles the layer the models read before your prose: title and meta description tags, schema.org structured data, image alt text and hreflang. The documentation is specific about where he belongs in a chain, which is after an audit, because the audit tells him exactly which pages are at fault and he works from that list instead of guessing. The light audit pairs particularly well with him: it crawls and runs the technical GEO scan with no AI call at all, it is free, and it hands him the problem pages for repair. Two templates show the shape. Webflow fix SEO post-audit fires on every completed audit, identifies pages with a weak title or meta, patches the tags page by page, then posts a recap to Slack. The monthly site fix-up runs on the first of each month across schema.org, internal links, alt text and titles for the whole site. His limit is his scope: Brian corrects the technical layer and the metadata, he does not rewrite the body of a page. That falls to Marcus or Sophia.

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Élodie, Brand Guardian

Validates voice, tone and brand guidelines before anything ships, and blocks non-compliant content at the gate.

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Transparent and scoped

Every agent run is logged with its input, output and cost, and each agent only has the permissions its job requires.

How they chain

A relay, not a black box

The agents are designed to hand off to each other inside a workflow. Theo decides, Marcus and Sophia produce, Brian fixes the technical layer, and Élodie has the final say before publishing.

Because each agent stays in its lane, the output is consistent and on-brand, and you can audit every decision: who did what, with which input, at what cost.

  • Theo decides the priority
  • Marcus & Sophia produce the content
  • Brian ships the technical fixes
  • Élodie validates voice and tone
  • Every run logged with input, output and cost
Theo, Strategist, Citeme SEO AI agent

Theo

Strategist

Marcus, GEO Strategist, Citeme SEO AI agent

Marcus

GEO Strategist

Sophia, Writer, Citeme SEO AI agent

Sophia

Writer

Brian, GEO Technician, Citeme SEO AI agent

Brian

GEO Technician

Élodie, Brand Guardian, Citeme SEO AI agent

Élodie

Brand Guardian

5

named specialists

1

brand validation gate

6+

content formats

100%

runs logged

How it works

  1. 1

    Theo reads the audit

    Finds the gap behind a lost citation and ranks the opportunities.

  2. 2

    Sophia & Brian act

    Content rewritten, schema.org, meta and links fixed.

  3. 3

    Élodie signs off

    Voice, tone and guidelines checked before publishing.

Our articles on this topic

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Maël BourdinGEO
May 26, 2026

ChatSEO review: our one-month test and our 4/5 verdict

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WebMCP: What It Is, How It Works and What It Means for Your Website

WebMCP is a W3C Community Group proposal that lets a web page hand AI agents callable tools through document.modelContext. Here is how it differs from MCP, where Chrome and Edge support stands, and why being operable by an agent is not the same as being cited.

Alexandre TeilletGEO
October 13, 2026

Good to know

An SEO AI agent is a specialized autonomous program that executes a single SEO task, auditing, content writing, technical optimization, or brand validation, inside automated workflows without manual input. Unlike a generic AI chatbot, it has a fixed role, defined permissions, and produces structured outputs that feed directly into the next step of the workflow. The key distinction is scope. A generic AI tool responds to prompts broadly. An SEO AI agent is purpose-built for one discipline: it knows what it is looking for, what to produce, and when to hand off to the next agent. Citeme runs five of them in a relay, each covering a specific layer of GEO and SEO work from audit to publish.

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