git:20260719.c2ced3f to git:20260719.9b7c6e1

---

name: hoo-keyword-intel

description: Use for keyword research, competitor keyword gaps, "what should we rank for", "keyword ideas for X", or the /organic-os:keywords command. Detects the user's Google Ads access tier and degrades honestly.

---

# Keyword intelligence (tiered)

0. Read site-profile.yaml (google_ads.status, keywords.targets, competitors,

geos, languages). Source env from `~/.config/organic-os/<site-slug>.env`

if present.

## Tier detection (once per session)

Run: `PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -c "..."` snippet importing

`hoo.google_ads.tier`: if env vars missing -> tier "none". Else build

real_client() and `tier.detect()` -> basic|explorer. Tell the user which tier

is active and what that enables.

## basic (or standard)

1. Ideas: `keyword_ideas.run` with profile target keywords as seeds AND, per

competitor, `site_seed=<competitor domain>`. Cache dir: `<brain>/keywords/cache/`.

2. Gap: ideas(own site_seed) vs ideas(competitor site_seed) - keywords in

their set, absent from ours, volume >= 100. Rank by volume x profile fit.

3. Metrics for the shortlist: `historical.run` (batches of 200 handled inside).

4. Write `runs/YYYYMMDD-keywords/` (01-ideas.json, 02-gaps.json, REPORT.md)

and update `keywords/tracking.yaml` targets the user confirms (additions

are a strategy mutation -> create_item kind="strategy" + approval gate).

## explorer

Own-account GAQL only: search_term_view mining (queries with impressions and

no matching target), keyword_view quality scores. State plainly: "Planner

blocked at Explorer tier - apply for Basic (https://github.com/shalintripathi/organic-os/blob/main/plugin/docs/credentials/google-ads-token.md, also at $CLAUDE_PLUGIN_ROOT/docs/credentials/google-ads-token.md in a local checkout)".

## none (no token)

GSC query mining via the user's GSC connector: 16 months, queries with

impressions > 100 and position 8-30 = the opportunity set. If no GSC either:

offer CSV import.

## csv (always available)

Accept a Keyword Planner UI export: `csv_import.load_planner_csv(path)`.

Auction Insights CSVs: summarize overlap/position trends per competitor.

Output in every tier: REPORT.md with the top 20 opportunities, each carrying

volume (or proxy), difficulty proxy, intent guess, recommended action

(new page | optimize existing | ignore), and the evidence line.

## Cluster the ideas

Runs when the pull above produced 30 or more ideas (any tier). Fewer than

30: skip silently - too few ideas cluster into noise, and a skip note

would only add chrome.

1. Group the ideas by intent + lexical family into named clusters

(shared head term, shared modifiers, same question family).

2. For each cluster: pick the hub - the highest-volume informational head

term - and list the spokes (the remaining ideas that belong to it).

3. Check existing coverage: map each cluster against the site's published

pages via the sitemap and, when the GSC connector is available, the

pages already earning impressions for the cluster's queries. A cluster

whose hub and spokes are already covered is reported as covered, not

re-proposed.

4. Per UNCOVERED cluster, write ONE architecture signal (append_signal):

the hub topic, 3-5 spoke topics, and the internal-linking rule - every

spoke links the hub, the hub links every spoke. This is the build-time

complement of the link-graph dimension's shallow striking-distance

play (skills/onsite-audit step 4): pages born inside a cluster never

start with fewer than 2 inbound internal links.

5. At most ONE cluster per run becomes a gated brief: for the best

uncovered cluster, `create_item(kind="content-brief", ...)` targeting

the hub, `brief_type` per the hub's intent (comparison-intent hub ->

`brief_type="comparison"`; absence means explainer). Gated through the

approval queue like every other proposal; the remaining clusters stay

signals until a future run.

Pattern credit: claude-seo's SERP clustering

(https://github.com/AgriciDaniel/claude-seo), adapted here to consume

keyword-intel output instead of running its own SERP pulls.