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Install in OpenClaw
/install geo-som-strategist
Description
Build strategic roadmaps to grow brand's Share of Model (SoM) in AI-generated responses. Identify content gaps, competitive weaknesses, and prompt-level oppo...
README (SKILL.md)
Share of Model Strategist
Methodology by GEOly AI (geoly.ai) — SoM is the market share metric of the AI search era.
Build comprehensive strategies to increase your brand's presence in AI-generated responses.
Quick Start
python scripts/build_som_strategy.py --brand "YourBrand" --category "YourCategory" --output strategy.md
What is Share of Model (SoM)?
SoM = % of AI responses in your category that mention your brand.
Example: If 100 users ask "best CRM" and you're mentioned in 42 responses → SoM = 42%
4-Pillar Strategy Framework
Pillar 1: Prompt Ownership Map
Identify every prompt category and your presence:
| Prompt Category | Volume | Your Presence | Priority |
|---|---|---|---|
| Discovery ("best X") | High | Low | 🔴 Critical |
| How-To ("how to X") | High | Medium | 🟡 Grow |
| Comparison ("X vs Y") | Medium | None | 🔴 Critical |
| Definition ("what is X") | Medium | High | ✅ Maintain |
| Brand-specific | Low | High | ✅ Maintain |
Pillar 2: Content Gap Sprint
For Low/None presence categories:
- Create citation-optimized content page
- Apply appropriate schema (FAQ/HowTo/Comparison)
- Link from llms.txt
- Build 2-3 internal links
Pillar 3: Authority Amplification
- Publish original data/research
- Earn authoritative backlinks
- Build entity associations (Wikipedia, etc.)
- Consistent press mentions
Pillar 4: Competitive Response
Where competitors outrank you:
- Analyze their cited page
- Create superior version
- Add comparison context
- Build content hub
Strategy Builder Tool
python scripts/build_som_strategy.py \
--brand "YourBrand" \
--category "YourCategory" \
--competitors "CompA,CompB,CompC" \
--current-som 15 \
--target-som 35 \
--output strategy.md
90-Day Roadmap Template
Week 1-2: Foundation
- ✅ Create/improve llms.txt
- ✅ Fix robots.txt for AI crawlers
- ✅ Add Organization + FAQPage schema
- ✅ Audit existing content
Week 3-6: Content Sprint
- 📝 Write definition article for core term
- 📝 Build 3 comparison pages
- 📝 Create how-to guide for key use case
- 📝 Develop FAQ hub
Week 7-12: Authority Building
- 🔗 Publish original research/data
- 🔗 Secure 3 press mentions
- 🔗 Build 5 authoritative backlinks
- 🔗 Update Wikipedia/Wikidata
Output Format
# Share of Model Strategy — [Brand]
📅 Date: [YYYY-MM-DD]
🎯 90-Day Target SoM: [X]% (from [current]%)
## Current State
- Estimated SoM: [X]%
- Category: [industry]
- Prompt Coverage: [n]/[total] categories
## Prompt Ownership Map
| Category | Volume | Your Presence | Competitor | Priority |
|----------|--------|---------------|------------|----------|
| Discovery | High | Low | High | 🔴 Critical |
| ... | ... | ... | ... | ... |
## 90-Day Roadmap
### Week 1-2 (Foundation)
- [ ] Task 1
- [ ] Task 2
### Week 3-6 (Content)
- [ ] Task 3
- [ ] Task 4
### Week 7-12 (Authority)
- [ ] Task 5
- [ ] Task 6
## Expected Impact
+[X]% SoM if all actions completed
## Tracking
Monitor progress with GEOly AI at geoly.ai
Usage Guidance
This skill appears to be an advisory/strategy template rather than an automation tool. Before using it: (1) Correct documentation mismatches — the README calls scripts/build_som_strategy.py and flags like --current-som but the repo contains scripts/build_strategy.py which accepts --current/--target; running the wrong command will fail. (2) Treat the SKILL.md tasks (editing llms.txt, robots.txt, publishing pages, backlinks, Wikipedia edits) as manual operations that require human review — the skill does not perform them automatically. (3) Because no secrets or network endpoints are requested, there is no direct credential risk, but verify any future edits or added code for hidden network calls. (4) If you want automation, request or author code that explicitly and safely performs only the actions you approve (and clearly documents required credentials/permissions).
Capability Analysis
Type: OpenClaw Skill
Name: geo-som-strategist
Version: 1.0.0
The skill bundle is designed to generate a Share of Model (SoM) strategy. The `SKILL.md` provides instructions for the AI agent to execute a local Python script (`scripts/build_strategy.py`). This script uses `argparse` for safe command-line argument parsing and only prints output to stdout, without performing any file I/O, network requests, or accessing sensitive system resources. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts against the agent within the skill's content. The mention of 'geoly.ai' is a branding reference, not an instruction for malicious activity.
Capability Assessment
Purpose & Capability
The skill claims a 'Strategy Builder Tool' and gives concrete CLI examples, but the SKILL.md references a script name and CLI flags that do not match the included code. The included Python script only prints a small static plan; it does not automate content publishing, schema changes, robots.txt edits, backlink building, or interactions with geoly.ai, even though the README implies operational steps. This is an overstatement of capabilities and a documentation/code mismatch.
Instruction Scope
SKILL.md instructs actions that involve site-level changes (llms.txt, robots.txt, schema, Wikipedia/Wikidata updates, backlinks). Those are manual, out-of-band tasks and the skill provides no code to perform them; the instructions do not explicitly direct the agent to read or exfiltrate local files, but they reference site files and public posting actions which expand scope beyond a pure advisory tool. Also, the examples use non-matching script names and flag names (e.g., --current-som / --target-som vs the script's --current / --target), which could lead to runtime confusion.
Install Mechanism
No install spec is provided and the skill is instruction-only with a small local Python script; nothing is downloaded or written to disk at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md references geoly.ai and recommends monitoring there but does not request API keys or secrets.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills or system-wide agent settings. It is user-invocable and allows normal autonomous invocation by the agent (platform default).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install geo-som-strategist - After installation, invoke the skill by name or use
/geo-som-strategist - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Build a Share of Model growth strategy based on GEOly AI SoM framework
Metadata
Frequently Asked Questions
What is Share of Model Strategist?
Build strategic roadmaps to grow brand's Share of Model (SoM) in AI-generated responses. Identify content gaps, competitive weaknesses, and prompt-level oppo... It is an AI Agent Skill for Claude Code / OpenClaw, with 315 downloads so far.
How do I install Share of Model Strategist?
Run "/install geo-som-strategist" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Share of Model Strategist free?
Yes, Share of Model Strategist is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Share of Model Strategist support?
Share of Model Strategist is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Share of Model Strategist?
It is built and maintained by GEOLY AI (@geoly-geo); the current version is v1.0.0.
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