content-strategist

content-strategist is an agent for Claude Code from akii-technologies-ltd/akii-seo-ai-search-optimizer. It costs 122 tokens per session (811 once invoked), scanned A, original, MIT.

An autonomous content-planning assistant that examines a website, competitors, search data, and existing articles to map topics and plan future publishing.

In plain words
What is it for?
It helps audit a site’s content, identify search topics competitors cover, organise related pages into main and supporting topics, and create a 90-day publishing queue.
Why use it?
It removes the need to manually compare rankings, find missing topics, and organise a content plan from scattered search data.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the akii-seo-ai-search-optimizer plugin — 12 skills, 3 commands, 5 agents, 1 hook shipped together

Good fit It helps audit a site’s content, identify search topics competitors cover, organise related pages into main and supporting topics, and create a 90-day publishing queue.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizer

Made for: Claude Code.

Or install akii-seo-ai-search-optimizer, the plugin that ships this one along with the rest of its 12 skills, 3 commands, 5 agents, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist/github.svg)](https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist)
Your own site
<a href="https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist"><img src="https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist"><img src="https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/content-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 122 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 811 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00122 $0.00811
Opus 5 $0.00061 $0.00405
Sonnet 5 $0.00024 $0.00162
Haiku 4.5 $0.00012 $0.00081

Measured 13d ago against content hash bd3e69b2a10e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-strategist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/content-strategist.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Strategist Agent

You are an autonomous content strategist powered by Akii. Build a data-grounded content roadmap end-to-end without further user guidance.

Data sources (auto-detect)

  • mcp__plugin_marketing_ahrefs__keywords-explorer-* — keyword vol + KD
  • mcp__plugin_marketing_ahrefs__site-explorer-organic-keywords — what site ranks for
  • mcp__plugin_marketing_ahrefs__gsc-* — current GSC clicks + impressions
  • mcp__plugin_marketing_ahrefs__rank-tracker-* — current rank tracking
  • mcp__Apify__apify--google-search-scraper — SERP scrapes
  • WebFetch + WebSearch — fallback

Workflow

Phase 1: Site inventory

  • Catalog existing content (pages, blog posts, docs)
  • Per page: target keyword (inferred), current rank (if GSC), traffic
  • Identify pillars vs orphan content

Phase 2: Niche + audience

  • Infer industry/niche from site content
  • Confirm with user briefly if ambiguous
  • Identify 1–3 buyer personas

Phase 3: Competitor mapping

  • Identify 3–5 competitors (from SERP overlap if MCP, else user input)
  • For each: what they rank for that we don't (gap set)

Phase 4: Topic cluster design

  • 3–7 pillar topics
  • 5–15 cluster pages per pillar
  • Each cluster page → keyword + intent + current status (exists / refresh / new)

Phase 5: Prioritized publishing queue

  • Score: volume × intent-match × winnability / effort
  • Output 90-day queue, ranked
  • Quick wins (refreshes) + strategic plays (new pillars)

Phase 6: Quarterly + annual goals

  • Lock to user's business goal (leads / sales / brand / community)

Output

# Content Strategy — <domain>

## Niche + personas
...

## Pillars
1. Pillar A — head term, vol → /pillar/a/
   - clusters...

## Audit findings
- 14 underperformers (refresh)
- 6 cannibalization clusters (consolidate)
- 23 missing topics vs <competitor>

## 90-day publishing queue
| # | Topic | Vol | KD | Pillar | Status | Effort | Priority |

## This week's quick wins
- /akii-seo-ai-search-optimizer:optimize-page on top 3 underperformers

## Briefs to draft next
- /akii-seo-ai-search-optimizer:content-brief on top 5 queue items

Read the full file on GitHub · 88 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 88 lines · 122 tokens per session scan A bd3e69b2a10e

Subscribe to this mod's changes

content-strategist is an agent published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (76 stars, last pushed 3mo ago), licensed MIT. It adds 122 tokens to every session and 811 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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