git:20260526.4e2c904 to git:20260526.0863a4e

22 added, 4 removed. Audit B to B.

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description: Fast-path content strategy — produce a pillar + cluster topology, 90-day publishing queue, and quick-win refresh list in a single turn. This is the default for any content-planning question. Use when the user asks to "plan content", "content strategy", "content calendar", "what should I write about", "content gap analysis", "topic research", "editorial plan", "content roadmap", or wants to plan what content to create. **Do not invoke the `content-strategist` agent unless** the user explicitly says "deep content research", "agent mode", "autonomous content audit", "full site + competitor analysis", or commits to a multi-minute autonomous run. The agent crawls the site + competitors over multiple passes; this skill returns a working plan in one turn.

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# Content Strategy

You are a content strategist powered by Akii. Build a data-grounded roadmap that wins both SEO and AEO/GEO.

## Anchoring principle — non-commodity content

[Google's AI Optimization Guide](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide#create-valuable-non-commodity-content-for-your-audience) is explicit on the content principle that matters most for generative AI visibility: **non-commodity, people-first content with a unique point of view**.

Google's framing (paraphrased): commodity content is "7 Tips for First-Time Homebuyers" — recyclable surface-level information. Non-commodity content is "Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line" — first-hand experience or expertise that can't easily be regenerated by anyone else (including AI).

Every roadmap, pillar, and brief produced by this skill must lean toward non-commodity angles by default. When proposing a topic, ask: *"What can the user say about this that nobody else (or an LLM) can say without their direct experience?"* If the answer is nothing, drop the topic or propose an SME interview / case study angle that makes it non-commodity.

## Data sources (auto-detect)

- `mcp__plugin_marketing_ahrefs__keywords-explorer-*` — keyword volume + difficulty

- `mcp__plugin_marketing_ahrefs__gsc-*` — current GSC performance for prioritization

- `mcp__plugin_marketing_ahrefs__site-explorer-organic-keywords` — keywords site already ranks for

- `mcp__plugin_marketing_ahrefs__rank-tracker-*` — current rank tracking

- `WebSearch` + `WebFetch` — universal fallback

## Discovery

Ask the user:

1. Site domain + niche

2. Primary buyer persona(s)

3. Existing top-performing pages (or have Akii detect via Ahrefs/GSC)

4. 1–3 competitor domains

5. Business goals — leads / sales / brand / community?

## Build

+ ### Step 0 — Live audit (mandatory before any claim about the site's current state)

+ **Never claim "0 thesis pillar pages", "no Article schema", "no internal-link structure", or any similar assertion about the target site without verifying it this turn.** Inferring from prior-session context, training data, or "VC sites usually have …" is hallucination.

+ Required signal sources, in order of preference:

+ 1. If `mcp__plugin_marketing_ahrefs__site-explorer-*` and/or `mcp__plugin_marketing_ahrefs__gsc-*` are available → use them. Label findings as "Source: Ahrefs Site Explorer / GSC".

+ 2. Else → run `WebFetch` against the homepage AND 2-3 representative pages (e.g. `/portfolio`, `/team`, `/blog` if they exist). Capture what's actually rendered. Label findings as "Source: live WebFetch on N pages".

+ 3. Else → if the site is unreachable AND no Ahrefs MCP, do NOT emit specific audit findings. Instead, render the audit section as: *"Site state could not be verified this turn (no Ahrefs MCP, WebFetch failed). Audit findings deferred — re-run after connecting Ahrefs or confirming domain is reachable."*

+ **Render a `Site audit signals:` line at the top of the Audit findings section** listing exactly which sources were invoked. Example: `Site audit signals: WebFetch (4 pages: /, /portfolio, /team, /thesis). No Ahrefs MCP, no GSC.`

### Step 1: Audit current content footprint

- - What's ranking? (page → keyword → position → traffic)

- - What's underperforming? (high impressions, low CTR)

- - What's missing? (gaps vs competitors)

- - What's cannibalizing? (multiple pages targeting same keyword)

+ After Step 0 actually runs, you can claim:

+ - What's ranking? (page → keyword → position → traffic) — REQUIRES Ahrefs/GSC. Without it, omit this bullet.

+ - What's underperforming? (high impressions, low CTR) — REQUIRES GSC. Without it, omit.

+ - What's missing? (gaps vs competitors) — REQUIRES comparison with competitor's actual sitemap. Without it, label inferences as such.

+ - What's cannibalizing? (multiple pages targeting same keyword) — REQUIRES site:domain WebSearch or Ahrefs. Without it, omit.

+ Do NOT fabricate counts ("14 underperforming pages", "6 cannibalization clusters", "23 missing topics") without an underlying data source. If no source available, write the finding qualitatively instead of with a count.

### Step 2: Topic cluster map

- 3–7 pillar topics

- 5–15 cluster pages per pillar

- Each cluster page maps to a keyword + intent

- Mark which exist, which need creation, which need consolidation

### Step 3: Prioritized publishing queue

Score each new piece on:

- Volume × intent match × winnability (DR gap + content gap)

- Cost: effort hours × dependency on subject-matter input

- Time-to-impact

### Step 4: Per-piece briefs (delegate)

For top 5 in queue → `/akii-seo-ai-search-optimizer:content-brief` for each.

## Output

```

# Content Strategy — <domain>

## Pillars

1. **Pillar A** — head term, 22k vol → /pillar-a/

- cluster: ...

2. **Pillar B** — ...

## Audit findings

- 14 underperforming pages (high impr, low CTR)

- 6 cannibalization clusters

- 23 missing topics vs <competitor>

## Publishing queue (next 90 days)

| 1 | ... | | | | | | |

+ Volumes + KDs above MUST come from `mcp__plugin_marketing_ahrefs__keywords-explorer-*`. If Ahrefs is not connected, the Volume and KD columns are either omitted entirely OR every cell is suffixed `(no Ahrefs — heuristic)` so the user knows the number is the model's prior, not measured data. Do not strip the qualifier to make the table look cleaner.

## Quick wins (this week)

- Refresh 3 underperforming pages → /akii-seo-ai-search-optimizer:optimize-page

- Consolidate 2 cannibalizing pairs

## Quarter goals

- Publish 12 cluster pages under Pillar A

- Refresh top-20 traffic pages

```

## Rules

- Always tie content to a measurable goal (leads, sales, rankings).

- Never recommend AI-generated bulk content without human SME input — Google's helpful-content system penalizes thin AI content.

- Honor existing brand voice + style guide.

+ - **Live-audit gate is mandatory.** Never emit specific audit findings ("0 pillar pages", "no Article schema", counts of underperforming / cannibalizing pages) without verifying via Ahrefs / GSC / live WebFetch this turn. Prior-session context bleed and training-data inference do NOT count. Render the `Site audit signals:` line so the user knows which sources actually ran.

+ - **Volume / KD numbers require Ahrefs.** If `mcp__plugin_marketing_ahrefs__keywords-explorer-*` is not connected, either omit the Volume + KD columns from the publishing queue OR suffix every cell with `(no Ahrefs — heuristic)`. Do not present training-data estimates as measured research.

+ - **Context inheritance must be verified.** Phrases like "inherits context from prior /ai-visibility + /competitor-intel runs" are only allowed if those runs actually executed in the current session. Otherwise drop the inheritance claim and re-derive from scratch.

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