Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
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...
skill openclawclawhub Free
Build strategic roadmaps to grow brand's Share of Model (SoM) in AI-generated responses. Identify content gaps, competitive weaknesses, and prompt-level oppo...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/build_strategy.py, references/framework.md, evals/evals.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- geoly-geo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Share of Model Strategist
Methodology by GEOly AI (geoly.ai) β 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 β SoM = 42%
Pillar 1: Prompt Ownership Map
Identify every prompt category and your presence: Prompt CategoryVolumeYour PresencePriorityDiscovery ("best X")HighLowπ΄ CriticalHow-To ("how to X")HighMediumπ‘ GrowComparison ("X vs Y")MediumNoneπ΄ CriticalDefinition ("what is X")MediumHighβ MaintainBrand-specificLowHighβ 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
Week 1-2: Foundation
β Create/improve llms.txt β Fix robots.txt for AI crawlers β Add Organization + FAQPage schema β Audit existing content
Week 3-6: Content Sprint
π Write definition article for core term π Build 3 comparison pages π Create how-to guide for key use case π Develop FAQ hub
Week 7-12: Authority Building
π Publish original research/data π Secure 3 press mentions π Build 5 authoritative backlinks π Update Wikipedia/Wikidata
Output Format
- # Share of Model Strategy β [Brand]
- π Date: [YYYY-MM-DD]
- π― 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 | π΄ 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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/framework.md
- scripts/build_strategy.py
- evals/evals.json