Source: Dev.to

Everyone’s Talking About Agentic SEO

Nobody’s showing what it actually looks like when an AI agent does your SEO work autonomously.

I built one. Connected it to Google Search Console, pointed it at my blog, and let it do its thing—68,000 impressions in 9 days from basically zero.

Here’s what agentic SEO actually means — not the enterprise‑whitepaper version, but the version where you sit in a chat and watch an agent pull your data, find your problems, and fix them.

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What Agentic SEO Actually Means

The term is everywhere right now.

• Search Engine Land wrote a guide.
• WordLift sells an “AI SEO Agent.”
• Frase calls itself an “agentic SEO platform.”
• Siteimprove has a whitepaper about it.

Most of them describe the same thing: AI that does SEO tasks without you manually prompting every step.

Traditional SEO workflow

1. Open GSC.
2. Export CSV.
3. Open spreadsheet.
4. Sort by impressions.
5. Copy data into ChatGPT.
6. Ask for advice.
7. Get “improve your meta descriptions.”
8. Repeat for an hour.

Result: five tabs, three vague action items.

Agentic SEO workflow

1. Tell the agent “analyze my site.”
2. It pulls your GSC data via API.
3. Crawls your pages.
4. Cross‑references keywords against existing content.
5. Finds gaps.
6. Tells you exactly what to fix.
7. Writes the content if you ask.

The difference isn’t AI; the difference is autonomy. The agent decides which tools to use, what data to pull, and what actions to take — based on your specific site, not a generic playbook.

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Why Most “Agentic SEO” Tools Aren’t Agentic

Here’s where I get opinionated.

Most tools calling themselves “agentic” are just AI wrappers with a fancier UI. You still type a prompt, get a response, and there’s no tool loop, no autonomous decision‑making, no persistent memory between sessions.

A real agentic SEO system needs three things:

1. Direct data access – not “paste your CSV.” Direct API connection to Google Search Console, live queries, 90 days of data. The agent pulls what it needs without you being the middleman.
2. Site awareness – the agent crawls your actual pages, knows your titles, H1s, internal links, and content gaps. It reads every page instead of guessing.
3. An agentic loop – a real agent doesn’t make one API call and respond. It plans → executes → evaluates → executes again, up to 5 rounds of tool calls per message. Example: pull GSC data → realize a specific page needs checking → crawl that page → compare to a competitor keyword → return a recommendation. That’s a loop. That’s agentic.

Without all three, you’re just using ChatGPT with extra steps.

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What an Agentic SEO Workflow Actually Looks Like

Scenario: A user connected their real‑estate website (69 pages, multiple geographic areas and blog topics) and asked one question:

“Analyze my GSC data and identify content gaps.”

The agent did:

• Pulled the top 50 keywords sorted by impressions from GSC.
• Listed all 69 site URLs from the sitemap.
• Checked keyword placement across titles and H1 tags.
• Identified keyword clusters with zero dedicated pages.
• Found 430+ impressions on “nocatee communities” keywords with no page targeting them.
• Found 290+ impressions on “real estate agent Jacksonville” keywords going to an unoptimized page.
• Discovered an entire buyer persona (55+ communities) with zero content coverage.
• Delivered a prioritized action plan with specific URLs to create or optimize.

Total time: ~2 minutes. No CSV exports, no spreadsheets, no copy‑pasting. One chat message in, full analysis out.

That’s agentic SEO. Not a dashboard. Not a report. An agent that investigates your data and comes back with a diagnosis.

graph TD
    U[User: “Analyze my content gaps”] --> A[Agent Plans Approach]
    A --> GSC[Pull GSC Data via API]
    GSC --> SITE[Crawl All Site URLs]
    SITE --> KW[Cross‑Reference Keywords vs Pages]
    KW --> GAP[Identify Unserved Clusters]
    GAP --> PRI[Prioritize by Impression Volume]
    PRI --> OUT[Deliver Action Plan]
    OUT --> WRITE[Optional: Write the Content]

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How I Built Mine

I started with duct tape. Claude Code connected to my Supabase CMS and Google Search Console via knowledge files and manual OAuth tokens. It worked — that’s how I got the 68 k impressions — but it was fragile. Tokens expired silently, context vanished between sessions, and nobody else could use it.

So I turned it into a real product.

Core Features

Simplified Agentic Loop (TypeScript)

// The core of the agentic loop — simplified
async function agentLoop(message: string, tools: Tool[]) {
  let rounds = 0;
  let response = await llm.chat(message, { tools });

  while (response.hasToolCalls && rounds  executeTool(call))
    );

    response = await llm.chat(
      response.followUpPrompt,
      { tools, previousToolResults: toolResults }
    );
    rounds++;
  }

  return response.finalMessage;
}

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TL;DR

Agentic SEO isn’t a buzzword; it’s an autonomous loop that pulls live data, understands your site, iterates through tool calls, and delivers concrete, actionable recommendations — all without you manually moving files around. If you’re still using spreadsheets and copy‑pasting, you’re missing out on the real power of an AI‑driven SEO agent.

```javascript
results = await executeTools(response.toolCalls);
response = await llm.chat(results, { tools });
rounds++;
}

return response.content;

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The Agent Loop

The agent isn’t a single prompt‑response cycle. It loops until it has enough information to give you a real answer. That’s the technical difference between “AI‑assisted” and “agentic.”

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The Reality Check

Agentic SEO isn’t magic. Here’s what it doesn’t do:

• It doesn’t guarantee rankings. No tool does. It finds opportunities and executes faster than you can manually. What you do with the output still matters.
• It doesn’t replace strategy. The agent is a fast analyst and writer, not a strategist. You still decide which direction to go. The agent tells you what’s there — you decide what to prioritize.
• It struggles with low‑data sites. If your site has 16 total impressions and everything is at position 80+, there isn’t enough signal for meaningful analysis. New sites need to build a baseline first.
• It writes well but not perfectly. The writing‑style system is good, but it’s not you. Every article needs a review pass. The agent gets you ~80 % there in 2 minutes instead of starting from zero.

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Agentic SEO vs. the SEO Tool Stack

I’m not saying you should cancel Semrush. Semrush does things my agent doesn’t — backlink analysis, domain‑authority tracking, competitive intelligence at scale. Different tools for different jobs.

But for the daily workflow of “what should I write, how should I optimize, what’s working and what isn’t” — the agent replaces 5 tabs and 30 minutes with one chat and 2 minutes.

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The Verdict

Agentic SEO is real. Most tools claiming the label aren’t.

The actual test is simple: does the tool connect to your data, make autonomous decisions about what to analyze, and come back with specific actions — without you manually feeding it every piece of context?

• Yes → it’s agentic.
• No → it’s just AI with marketing.

I built mine because I got tired of being the copy‑paste middleman between my own data and the AI that was supposed to help me. The 68 k impressions in 9 days weren’t because of magic — they were because the agent found problems I’d been sitting on for weeks, and I spent a day fixing them.

Try it yourself: the hosted version (free tier available) –
Connect your Search Console, talk to the agent, see what it finds. No credit card, no setup. Just your data and an agent that actually looks at it.