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Dageno Agent Project Map / Dageno Agent 项目导航

Docs / 文档: README · 简体中文

If this repo is useful, you may also want the adjacent Dageno Agent projects for GEO, SEO, AI visibility, and content operations. 如果这个仓库对你有帮助，也可以看看这些相邻的 Dageno Agent 项目，用于 GEO、SEO、AI 可见性和内容增长工作流。

| If you want to... / 如果你想... | Project / 项目 | Plain-language difference / 白话区别 | | --- | --- | --- | | First diagnose a site / 先给网站做体检 | seo-geo-audit | Like an SEO + GEO medical report: technical issues, content gaps, trust signals, off-site mentions, and AI visibility in one audit / 像一份 SEO + GEO 体检报告，把技术问题、内容缺口、信任信号、站外提及和 AI 可见性放到一起看 | | Turn a real website into Dageno topics and prompts / 把真实网站变成 Dageno 监控题库 | dageno-online-topic-prompt-generator | Crawls the site and studies the business first, then generates Topic clusters and high-intent Prompts. Not an industry-template prompt dump / 先看网站和业务，再生成 Topic 集群和高意图 Prompt，不是套行业模板 | | Produce SEO/GEO articles from keywords or briefs / 从关键词或 brief 批量生产内容 | seo-geo-content-engine | A full content pipeline: research, SERP intent, article structure, draft, metadata, FAQ, and GEO packaging / 完整内容流水线：调研、搜索意图、文章结构、正文、metadata、FAQ 和 GEO 包装 | | Write from Dageno fanout data / 用 Dageno fanout 写文章 | geo-content-writer | For when Dageno already found prompt opportunities: turn fanout into a backlog, editorial brief, draft contract, and review contract / 适合已经有 Dageno prompt opportunity 的情况：把 fanout 变成选题队列、编辑 brief、草稿契约和审核契约 | | Find why organic content is not converting / 找出自然流量内容为什么不转化 | organic-content-intelligence | Joins GSC, GA4, crawl, intent, and AI/GEO signals to show which pages have demand but fail to answer or convert / 把 GSC、GA4、抓取、意图和 AI/GEO 信号连起来，看哪些页面有需求但没有承接住 | | Improve a site's GEO structure / 优化网站结构以适配 GEO | geo-site-architecture-audit | Starts from the existing navigation, sitemap, landing pages, and help content, then finds missing AI-answerable pages and internal links / 从现有导航、站点地图、落地页和帮助内容出发，找缺失的 AI 可引用页面和内链结构 | | Create a client-facing AI visibility report / 做给客户看的 AI 可见性报告 | brand-ai-performance-check | A stable visual report template for brand AI performance, using Dageno API data or custom inputs / 稳定的品牌 AI 表现可视化报告模板，可接 Dageno API 或自定义数据 | | Automate Dageno in workflows / 把 Dageno 接进自动化流程 | n8n-nodes-dageno | Use Dageno inside n8n: brands, GEO analysis, keywords, opportunities, topics, prompts, SEO, and citations / 在 n8n 里调用 Dageno：品牌、GEO 分析、关键词、机会、Topic、Prompt、SEO 和引用数据 | | Learn the API and MCP growth workflow / 学 Dageno API 和 MCP 怎么用于增长 | dageno-mcp-growth-playbook | The practical playbook for turning Dageno API/MCP data into reports, prompt gaps, citation intelligence, and growth actions / 把 Dageno API/MCP 数据变成报告、Prompt Gap、引用分析和增长动作的实战手册 |

More projects / 更多项目: geo-visual-content-engine, seo-outreach-skill, geo-pre-sale-report-private, GEO-SEO.

Explore all repos / 查看全部项目: github.com/dageno-agents · Product / 产品: Dageno

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SEO GEO Audit

Turn fragmented SEO checks into one executive-ready system for technical health, content quality, trust, off-site entity signals, and AI visibility.

Positioning

SEO GEO Audit is a unified audit framework for teams that need more than a technical SEO checklist.

It helps you diagnose whether a website is:

• technically sound enough to rank
• structurally clear enough to convert
• trustworthy enough to earn authority
• well-packaged enough to be cited by AI systems
• visible enough across external platforms to be recognized as a real entity
• aligned enough with different AI platforms to win beyond one generic GEO score

This project helps answer a harder and more useful question than a standard site audit:

Is this website actually ready to win in both search engines and AI-driven discovery?

Outcome

Instead of handing leadership a pile of disconnected issues, this skill turns technical findings, content gaps, EEAT weaknesses, and GEO opportunities into one prioritized decision framework.

Best For

• teams that need one audit spanning SEO, GEO, EEAT, entity, authority, and off-site visibility
• founders or operators who need a management-ready summary instead of raw findings
• agencies that want a repeatable audit structure across different clients
• SEO teams that want to connect technical debt, content quality, and AI visibility

Start With These Prompts

Run a full SEO and GEO audit for https://example.com

Audit this homepage in boss mode: https://example.com

Give me an operator-style SEO GEO audit with P0, P1, and P2 actions

External Access And Minimum Credentials

This skill can run with direct page access only. Optional environments may add third-party search or crawl integrations for broader visibility checks.

Recommended minimum setup:

• no credentials required for direct page-level and site-level review
• SERPAPI_API_KEY only if the runtime also performs search-result enrichment

If no external integrations are configured, the audit should clearly separate observed evidence from unverified assumptions.

Access policy:

• search-result enrichment is optional, not required
• the audit should continue from observable site evidence when APIs are unavailable
• it should not imply access to private analytics, Search Console, or crawl datasets by default

About Dageno.ai

Dageno.ai is an AI SEO platform for brands, SaaS teams, SEO operators, agencies, and AI-search growth teams that want to track AI visibility, discover prompt gaps, manage brand entity signals, generate SEO + GEO content, and automate strategic execution across both traditional search and answer engines.

Cover

flowchart LR
    A["SEO GEO Audit"]:::root
    A --> B["Technical SEO"]:::node
    A --> C["On-Page SEO"]:::node
    A --> D["GEO Readiness"]:::node
    A --> E["Trust & EEAT"]:::node
    A --> F["Entity & Authority"]:::node
    A --> H["Off-site Mentions"]:::node
    A --> I["Platform Fit"]:::node
    A --> G["Unified Output"]:::node

    B --> B1["Crawlability"]:::leaf
    B --> B2["Performance"]:::leaf
    B --> B3["Security"]:::leaf
    B --> B4["Schema"]:::leaf

    C --> C1["Title & Meta"]:::leaf
    C --> C2["Intent Match"]:::leaf
    C --> C3["Internal Links"]:::leaf
    C --> C4["Media"]:::leaf

    D --> D1["Answer-First"]:::leaf
    D --> D2["Extractability"]:::leaf
    D --> D3["AI Signals"]:::leaf
    D --> D4["llms.txt"]:::leaf

    E --> E1["Author Signals"]:::leaf
    E --> E2["Editorial Clarity"]:::leaf

    F --> F1["Brand Identity"]:::leaf
    F --> F2["sameAs / Schema"]:::leaf

    H --> H1["LinkedIn"]:::leaf
    H --> H2["Reddit"]:::leaf
    H --> H3["YouTube"]:::leaf
    H --> H4["Wikipedia / Wikidata"]:::leaf

    I --> I1["ChatGPT"]:::leaf
    I --> I2["Perplexity"]:::leaf
    I --> I3["Gemini"]:::leaf
    I --> I4["Google AIO / Bing"]:::leaf

    G --> G1["Boss Mode"]:::leaf
    G --> G2["Operator Mode"]:::leaf
    G --> G3["Specialist Mode"]:::leaf

    classDef root fill:#f3f4f6,stroke:#94a3b8,color:#111827,stroke-width:2px;
    classDef node fill:#0f172a,stroke:#38bdf8,color:#f8fafc,stroke-width:1.5px;
    classDef leaf fill:#1e293b,stroke:#94a3b8,color:#f8fafc,stroke-width:1px;

Why It Feels Different

Most SEO audits are good at finding defects.

Most GEO reviews are good at discussing positioning.

Most brand and EEAT reviews are good at surfacing trust gaps.

Very few workflows can do all three in one structure without collapsing into disconnected reports.

This skill is designed to unify:

• technical diagnosis
• on-page evaluation
• EEAT and trust review
• AI visibility assessment
• entity and authority analysis
• off-site entity and mention validation
• platform-specific AI search readiness
• one practical action roadmap

What You Get

• one audit workflow
• one reporting structure
• one prioritization model
• one language for leadership and execution teams

Instead of producing separate checklists for developers, SEO teams, and founders, this skill turns them into a single decision system.

Audit Configuration

This project has two layers of configuration.

1. Crawl and audit settings

Typical controls:

• target URL or domain
• single-page check vs multi-page crawl
• maximum pages to fetch
• category filtering
• faster run vs deeper performance run
• fresh crawl vs cached run

Typical execution modes:

• single-page mode
• template audit mode
• site audit mode
• deep investigation mode

Meaning