Understanding the Agent Loop

How the Agentic SEO AI agent reasons, plans, calls tools, and synthesizes answers. Understand the loop to get more from every conversation.

What Is an Agent?

An agent is an AI that can take actions — not just generate text. The Agentic SEO agent doesn't just answer questions about SEO. It queries your Google Search Console, crawls your site data, generates content briefs, writes articles, and publishes to your CMS. Each action is a “tool call” that the agent decides to make based on your request.

This is what makes Agentic SEO fundamentally different from chatting with ChatGPT about SEO. The agent has real tools connected to your real data.

The Agent Loop

Every message you send triggers this loop:

  1. Read your message — the agent sees your question plus conversation history
  2. Decide on tools — the LLM decides whether to call tools or respond directly
  3. Execute tools — if tool calls are needed, the agent runs them and collects results
  4. Check if more tools are needed — the agent may chain additional tool calls based on results
  5. Synthesize response — once it has enough data, the agent composes its final answer

This loop can repeat up to 10 times per message. Most questions need 1–3 iterations. Complex requests like “find opportunities and write an article” may use 4–6 iterations.

Tool Calls

When the agent decides to use a tool, you'll see it in the chat interface. Each tool call shows what the agent is doing and what data it received back. This transparency lets you verify the agent's reasoning.

Available Tools

ToolWhat It DoesWhen It's Used
gsc_queryQueries your Google Search Console dataAny question about search performance, rankings, traffic
serp_analysisShows who ranks for any keyword in GoogleCompetitive landscape, content gap research
keyword_researchGets search volume, CPC, and competitionValidating content ideas, prioritizing keywords
competitor_researchDiscovers domains competing for your keywordsMarket analysis, finding SEO rivals
site_contextSearches your crawled page contentContent analysis, gap finding, keyword checks
brief_generatorCreates data-driven content briefsContent planning, editorial calendar
link_suggesterFinds internal linking opportunitiesSite architecture, topical clusters
article_writerGenerates long-form articlesContent production, blog posts
code_sandboxRuns code snippets for analysisData processing, calculations
publish_to_webflowPublishes articles to Webflow CMSContent distribution

Iteration Limits

The agent is limited to 10 tool-call iterations per message. If it reaches this limit without finishing, it makes one final call to summarize what it found so far.

Tool results are also truncated to 3,000 characters each to prevent context overflow. For large datasets (e.g., hundreds of keywords), the agent focuses on the most relevant subset.

Tip

If the agent seems to cut off or summarize too much, break your request into smaller questions. Instead of “analyze everything,” ask “show my top 20 declining keywords” first, then follow up with deeper analysis on specific ones.

Conversation Memory

The agent maintains a 20-message conversation history per project. This means it remembers what you discussed in recent messages and can reference earlier data. When you start a new conversation or the history exceeds 20 messages, older messages are trimmed.

Chat history is stored per-project — if you switch projects and come back, your conversation picks up where you left off.

Early-Stage Site Detection

The Agentic SEO agent automatically detects early-stage sites — those with fewer than 100 total impressions, very few queries, or high average positions. Instead of trying to run gap analysis on insufficient data, the agent switches to a foundational SEO playbook:

  • Suggests basic technical SEO fixes
  • Recommends initial content planning strategies
  • Sets realistic expectations (4–6 weeks before meaningful GSC data)
  • Focuses on building topical authority from scratch
Note

This isn't a limitation — it's intentional. Running keyword analysis on a site with 10 total impressions produces misleading results. The agent is honest about when there's not enough data to be actionable.

Try these prompts

Find my top declining keywords, then generate a content brief for the biggest opportunity
Search my site for thin pages, then check their GSC performance

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