# Keyword Cluster Mapping Agent

> An SEO agent that clusters your keywords into topic groups and maps intent, never fabricates search metrics, and never guarantees rankings.

- **Category:** SEO & Growth
- **Difficulty:** Intermediate
- **Setup time:** 35 min
- **Stacks:** Claude, LangGraph, OpenAI
- **Version:** 2.0.0 (updated 2026-06-21)
- **Source:** https://agent-kits.com/kit/keyword-cluster-mapper

## Overview

Turns a keyword list into topic clusters with search-intent mapping.

Suggests a content structure and priorities from the clusters.

Uses the data you provide and flags where real keyword-tool metrics are needed.

Defensive: never fabricates search metrics and never guarantees rankings or traffic.

## When to use it

- You have a keyword list and want it organized into topic clusters.
- You want intent mapping and a suggested content structure.
- You want honest gaps flagged where metrics are missing.
- You want recommendations, not automatic site changes.

## When not to use it

- You want fabricated search volumes or difficulty scores — it won't invent them.
- You want a guarantee of rankings or traffic (SEO can't be guaranteed).
- You have no keyword data to cluster.
- You want it to publish or change your site automatically.

## Architecture

- **Keyword intake** — Takes the provided keyword list and any metrics that come with it.
- **Topic clusterer** — Groups keywords into coherent topic clusters from the provided data.
- **Intent mapper** — Infers search intent per cluster and labels it as an inference, not a certainty.
- **Metric guard** — Blocks fabricated volume, difficulty, or traffic numbers; uses provided metrics or flags gaps.
- **Structure recommender** — Suggests a pillar/supporting content structure and prioritization.
- **No-guarantee guard** — Prevents ranking or traffic promises and caveats projections as estimates.
- **Recommendation output** — Delivers a plan to review and implement; it never changes the live site.

## Files in this bundle

- `system-prompt.md` — the agent's system prompt
- `tools.json` — tool/function definitions the agent expects
- `workflow.md` — step-by-step run loop
- `.env.example` — environment variables to fill in
- `kit.json` — full structured metadata
- `starters/` — minimal starter snippets
- `LICENSE` — Apache-2.0 (code, configuration, and schema)
- `LICENSE-CONTENT` — CC BY 4.0 (specification text and documentation)
- `NOTICE` — attribution and trademark notice
- `run.py` — **runnable demo**: real agent loop with mock tools (`pip install anthropic`, set `ANTHROPIC_API_KEY`, `python run.py`)
- `agentaz.json` / `agentaz.schema.json` — AgentAz™ governance spec + schema

## Implementation notes

- Never fabricate search volume, difficulty, CPC, or traffic numbers; made-up metrics drive real budget decisions, so use provided data or flag exactly what to pull.
- Never guarantee rankings or traffic; SEO depends on competition, authority, content, algorithm changes, and time — present projections as caveated estimates.
- Label search-intent classifications as inferences from the keyword, not certainties, so they're treated with appropriate skepticism.
- Recommend a structure and priorities but don't auto-publish or change the live site; implementation stays with the team.
- Flag honestly where missing metrics limit prioritization, rather than papering over the gap with confident-sounding guesses.
- Deduplicate and group sensibly so the strategy is clean and actionable.
- Intent nuance and prioritization reasoning is what the strong model is for; a cheaper model can cluster and dedupe.

## Variations

- **Basic — Keyword clusterer:** Groups a keyword list into topic clusters with inferred intent. On demand.
- **Advanced — Strategy mapping:** Adds content-structure recommendations, prioritization, metric-gap flagging, and no-fabrication/no-guarantee guards.
- **Enterprise — Content strategy workflow:** Adds keyword-tool data integration, large-list clustering, pillar/cluster planning, and prioritization tied to real metrics — recommendations for the team.

## FAQ

**Will it make up search volumes?**

No. It clusters and prioritizes from the data you provide. If you ask for volume or difficulty it doesn't have, it flags exactly which metrics to pull from a keyword tool rather than inventing numbers, because fabricated metrics lead to bad content investments.

**Can it guarantee we'll rank #1?**

No, and it will say so. SEO outcomes depend on competition, domain authority, content quality, algorithm changes, and time. It gives you a sound strategy and treats any projection as a caveated estimate, never a promise.

**How does it decide intent?**

It infers search intent (informational, commercial, navigational, transactional) from each keyword and labels it as an inference, so you can apply your own judgment rather than treating it as certain.

**Does it change my site?**

No. It produces a clustering and content plan for your team to review and implement. It recommends; it doesn't publish or modify your live site.

**What if I don't have metrics?**

It still clusters and gives you an intent-based structure and prioritization, while clearly flagging that adding real volume and difficulty data will let it prioritize by opportunity, not just intent.

**Can it handle a big keyword list?**

Yes. It deduplicates and groups large lists into coherent topic clusters with a suggested pillar/supporting structure, so a messy export becomes an actionable plan.


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© 2026 AgentKits · www.agent-kits.com

**Open source.** Code, configuration, and the AgentAz™ schema are licensed under
**Apache-2.0**; specification text and documentation under **CC BY 4.0** (with
attribution to AgentKits, link to https://www.agent-kits.com). See LICENSE, LICENSE-CONTENT,
and NOTICE in this bundle. "AgentAz" and "AgentKits" are trademarks of AgentKits.

**Flagship reference blueprint.** View the source, AgentAz™ spec, and frozen v1.0 schema
in the public registry: https://github.com/agent-kits/agentaz
Original: https://agent-kits.com/kit/keyword-cluster-mapper
