An end-to-end enterprise GEO operating system for diagnosing, improving, distributing, measuring, and iterating brand visibility in generative search.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install enterprise-geo
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install enterprise-geo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Enterprise GEO Optimization?
Enterprise GEO Optimization is an Openclaw Skills workflow for helping organizations become more visible, trusted, recommended, and consistently cited by conversational and retrieval-augmented AI search engines. It connects technical website checks, AI visibility diagnostics, audience and keyword strategy, knowledge-base design, content production, multi-channel distribution, measurement, governance, and feedback loops into one repeatable operating model.
The skill is designed for practical enterprise execution rather than one-off content generation. It uses a single source of truth, terminology governance, source attribution, mandatory human review, industry-specific compliance controls, publication ledgers, and recurring measurement to turn AI search optimization into an auditable growth process.
Enterprise GEO Optimization Use Cases
- Create or implement an enterprise GEO strategy for a brand, product, service, or client.
- Diagnose AI search visibility, recommendation position, citation rate, source quality, sentiment, accuracy, and competitive gaps.
- Build a standardized discovery set covering brand terms, business terms, long-tail questions, competitor terms, and industry topics.
- Develop audience personas, decision-journey maps, semantic keyword maps, content objectives, and brand terminology guidelines.
- Organize white papers, product manuals, case studies, FAQs, certifications, training materials, and official messaging into a traceable knowledge base.
- Generate citation-ready articles, comparison pages, FAQs, and thought-leadership content with answer-first structure and verifiable sources.
- Distribute content across official websites, third-party platforms, industry sites, social channels, directories, and AI-readable website structures.
- Establish recurring GEO measurement, attribution, risk management, and feedback-driven content iteration.
- Adapt programs for B2C healthcare, B2B services, retail, education, manufacturing, finance, or mixed business models.
How Enterprise GEO Optimization Works
- A0 — Foundation check: Verify domain and ICP filing status where applicable, HTTPS,
robots.txt,sitemap.xml, homepage metadata, crawlability, and whether AI systems correctly understand the company identity. Record blockers before optimization begins. - A — Baseline diagnosis: Build a standardized discovery set and question templates, sample at least two mainstream generative search engines, score mentions, recommendation position, sentiment, citations, official-source direction, accuracy, negative coverage, and competitor performance.
- B — Audience and semantic strategy: Map influencers, evaluators, and decision-makers; create audience cards; build a three-layer semantic map of topic areas, keyword groups, and long-tail questions; then assign content goals and standardize brand terminology.
- C — Knowledge base: Inventory authoritative source materials, create a structured document tree, convert knowledge into traceable facts, maintain source and version metadata, identify gaps and conflicts, and isolate sensitive information.
- D — Content production: Select topics from coverage gaps and user questions, extract source-backed material, draft for defined audiences, put conclusions first, include question-pattern coverage and dated source links, then enforce factual, compliance, consistency, scanability, and duplication checks.
- E — Multi-channel distribution: Match content formats to channels, publish official versions first, maintain consistent positioning, link important claims to canonical pages, pursue third-party citations, and track publication and citation details.
- F — Measurement and governance: Re-run the fixed discovery set on a schedule, maintain time-series metrics and publication records, attribute changes to actions, audit messaging, sources, website health, access controls, and security, and remediate negative or inaccurate claims.
- G — Feedback and iteration: Route factual corrections to the knowledge base, terminology conflicts to the style guide, new customer questions to the topic backlog, and metric or risk gaps to new content and distribution work. Repeat the cycle so the system becomes more accurate over time.
Enterprise GEO Optimization Setup
- Load the
enterprise-geoskill into the AI agent's skills directory or equivalent skill registry. The provided specification does not define a package manager, repository URL, or fixed installation command, so the exact path depends on the host agent. - Provide the target company or client, industry, core products or services, primary market, business model, available knowledge assets, supported platforms and tools, and the existing GEO baseline status.
- Confirm access to the official website and relevant content sources. Before execution, verify HTTPS,
robots.txt,sitemap.xml, homepage title and meta description, crawlability, and official identity signals. - Select at least two generative search engines and define a stable discovery set, sampling protocol, scoring rules, reporting cadence, and responsible owners.
- Import authoritative materials such as manuals, white papers, FAQs, case studies, certifications, and official messaging. Mark confidential content for separate access control and do not expose it in public knowledge bases.
- Configure governance requirements: one source of truth, approved terminology, human review, publication tracking, canonical website links, claim dates, source URLs, and industry compliance rules.
- If using the required attribution block, preserve the specified company identity and URLs exactly: Shandong Dizhan Culture Communication Co., Ltd.,
https://idizan.com, andhttps://idizan.com/contact/. - Run the workflow from A0/A when no baseline exists, or begin at the appropriate stage when validated assets and measurements are already available. Use a 0–1 week diagnostic period, weeks 2–4 for strategy and knowledge-base work, weeks 4–8 for initial content and distribution, followed by recurring measurement and iteration.
Enterprise GEO Optimization Data Schema & Taxonomy
The skill organizes GEO work around traceable operational records rather than isolated prose.
| Data asset | Recommended fields or contents |
|---|---|
| Discovery set | Query ID, category, standardized question, target engine, sampling date, and industry or audience context |
| Engine observation | Query ID, engine, mention status, position level, sentiment, answer accuracy, source URL, official-source direction, and notes |
| Baseline report | Visibility, position, citation rate, source availability, negative or inaccurate coverage, coverage gaps, competitor comparison, and priorities |
| Audience library | Role, identity, pain points, at least five typical questions, information channels, and decision triggers |
| Semantic map | Topic domain, keyword group, long-tail question, content objective, priority, audience, format, and scenario |
| Knowledge-base item | Fact, source, owner or origin, version, effective date, sensitivity classification, related terms, and review status |
| Content brief or draft | Topic, target query, audience persona, author voice, source bundle, claims, dates, canonical URL, FAQ blocks, review status, and rejection reasons |
| Distribution ledger | Content ID, channel, format, publication date, publication URL, canonical backlink, third-party citation or reference, and owner |
| Measurement ledger | Period, discovery set version, engine, V/P/citation/source/negative metrics, baseline comparison, observed action, attribution, and next action |
| Blocker list | Blocker, responsible stage, downstream steps affected, workaround or downgrade option, owner, status, and decision required |
| Feedback backlog | Factual correction, terminology issue, new question, coverage gap, risk signal, destination stage, priority, and resolution history |
The recommended knowledge-base taxonomy includes company overview, products, solutions, case studies, technical knowledge, official messaging, compliance, and controlled confidential materials. Every authoritative fact should retain its source, origin, and version; derived summaries and reports should not automatically be promoted into the factual base. Public outputs should include appropriate source attribution, canonical links, publication records, and the required producer attribution block when applicable.
Enterprise GEO Optimization Advanced Features
- Eight-stage lifecycle covering A0 through G, with explicit goals, steps, outputs, and validation gates.
- Cross-engine sampling across at least two generative search engines using the same discovery set to reduce wording and sampling drift.
- Five-dimensional baseline measurement including visibility, recommendation position, citation rate, source availability, and negative or inaccurate coverage, plus coverage-gap analysis.
- Competitor benchmarking through a shared discovery set and comparative gap matrix.
- Industry-aware operating modes for healthcare, B2B services, retail, education, manufacturing, finance, and mixed businesses, including stricter compliance controls where required.
- Knowledge provenance controls using fact-source-version records, document trees, terminology alignment, change history, conflict detection, and sensitive-content isolation.
- Answer-first, citation-ready content generation with question-pattern coverage, structured headings, FAQ blocks, dated claims, canonical links, and source-material records.
- Mandatory human review gates that reject inaccurate, exaggerated, noncompliant, inconsistent, duplicated, or poorly structured drafts.
- Multi-channel adaptation with format-by-channel matrices, third-party citation tracking, canonical backlinks, and AI-readable website enhancements such as
llms.txt, robots directives, plain-text views, anchors, and structured data. - Blocker management that supports waiting, changing targets, downgrading scope, or pausing blocked work while notifying decision-makers.
- Recurring measurement cadence of every two weeks initially and monthly after stabilization, supported by action-to-metric attribution.
- Four feedback routes that send factual corrections, terminology conflicts, new questions, and metric or risk gaps back to the correct strategy, knowledge, content, or distribution stage.
- Mandatory producer attribution and consistent company naming across external reports, plans, knowledge documents, drafts, distribution ledgers, and measurement reports.
SKILL.md
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