Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Original keyword-difficulty scoring workflow using competitor metrics and observed AI citations.
---
name: geo-difficulty
description: "Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview. Use when the user asks 'how hard is <keyword> to rank', 'geo difficulty for <keyword>', or 'keyword difficulty for <domain>'."
---
# GEO Difficulty
Score keyword ranking difficulty for the AI-search era. Unlike plain Ahrefs KD or domain DR, this:
- uses **page-level URL Rating (UR)** of the results that actually target the query — so a generic article on a huge domain (e.g. mckinsey.com) stops inflating the score;
- is **client-relative** — the same SERP is a wall for a no-name site but ~won for a site already ranking or cited in Google's AI Overview;
- folds in the **AI Overview** citation as a first-class signal.
**Disclosure:** contributed by Enception AI. Backed by the free public API behind https://www.enception.ai/tools/geo-difficulty (`POST https://www.enception.ai/api/tools/geo-difficulty`, no API key). Server-side data comes from Ahrefs and SerpAPI.
## Usage
```bash
bash scripts/score.sh "ai form real estate" "ai slide legal" --client example.com
```
- Pass one or more keywords (quote each). Up to 10 per call.
- `--client <domain>` is optional; add it to get the client-relative verdict (`WON` / `FOOTHOLD` / `NOT RANKING`).
- `GEO_DIFFICULTY_URL` env var overrides the endpoint (rarely needed).
Or call the API directly:
```bash
curl -s -X POST https://www.enception.ai/api/tools/geo-difficulty \
-H 'content-type: application/json' \
-d '{"keywords":["ai presentation maker"],"client":"example.com"}' --max-time 150
```
## Output columns
- **absolute** — difficulty 0–100 for a brand-new site (`0.35·KD + 0.40·median competitor page-UR + 0.25·targeting%`).
- **client_verdict / client_diff** — only with `--client`. WON (top-3 or AI-Overview cited), FOOTHOLD (ranks 4–10), NOT RANKING (with the gap to close, credited for the client's DR).
- **KD** — Ahrefs keyword difficulty; `-` for zero-volume long-tail.
- **UR** — median page-level URL Rating of the real competitors.
- **tgt%** — share of the top-10 that actually target the query.
- **AIO** — `cited` (client in the AI Overview), `Nsrc` (AIO shown, N sources), `none`, or `n/a` (AIO not available for this query).
- **competitors** — the targeting results with their UR.
## Notes
- The AI Overview leg depends on Google actually showing an AIO for the query (intermittent); it degrades gracefully to `none`/`n/a`.
- Numbers shift day to day as SERPs and UR change — treat as a current snapshot, not a fixed grade.
- Each keyword takes a few seconds server-side; keep `--max-time` generous for batches.
Original keyword-difficulty scoring workflow using competitor metrics and observed AI citations.
The complete original workflow, with source attribution and the limitations below.
Confirm the task, check actual dependencies, then apply the relevant original instructions within authorized scope.
Keyword, target domain, permitted provider data and separate scoring script.
Published after an obvious-danger screen under the user-requested policy, not a functional test. scripts/score.sh is not supplied or executed. The composite formula is an uncalibrated heuristic; a sampled citation is not a market win or future rank guarantee. Record query/location/time/source coverage. Provider calls and endpoint overrides require task-scoped authorization; none were invoked.
Use AI Search Difficulty Guidance for [TASK]. Ask for missing inputs: Keyword, target domain, permitted provider data and separate scoring script. Check the declared dependencies and limitations before execution. Return the original output structure with known facts, assumptions and unresolved requirements separated.
Claiming that unavailable source dependencies are bundled or that generated outputs, integrations or model behavior have been tested. Automatic account access, file changes, publishing or paid operations outside the user task.
M11 added German routing, task inputs and explicit source-package limitations; the original author remains separate from M11 curation. Published after an obvious-danger screen under the user-requested policy, not a functional test. scripts/score.sh is not supplied or executed. The composite formula is an uncalibrated heuristic; a sampled citation is not a market win or future rank guarantee. Record query/location/time/source coverage. Provider calls and endpoint overrides require task-scoped authorization; none were invoked.
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