Agent skill

SEO Aeo Orchestrator

by sickn33 in sickn33/agentic-awesome-skills

Runs an audit-first SEO/AEO growth workflow from project discovery through implementation, foundational content, measurement setup, deployment verification, and optional weekly monitoring.

MITAuto-check passedMarketing & SEO

Install SEO Aeo Orchestrator

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-orchestrator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills seo-aeo-orchestrator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-aeo-orchestrator .claude/skills/seo-aeo-orchestrator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-aeo-orchestrator
GitHub stars
47k
Used in
1 other repo
Token cost
~3.7k tokens
SKILL.md length
1,490 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Runs an audit-first SEO/AEO growth workflow from project discovery through implementation, foundational content, measurement setup, deployment verification, and optional weekly monitoring.

  • Works in 8 steps: Discover the project → Run the SEO/AEO audit → Implement and verify audit fixes → …
  • Tasks that involve AI search optimization
  • SKILL.md covers Purpose, Workflow entry point, Authorization gates and Execution architecture, plus 14 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

SEO Aeo Orchestrator is an agent skill from sickn33/agentic-awesome-skills. Runs an audit-first SEO/AEO growth workflow from project discovery through implementation, foundational content, measurement setup, deployment verification, and optional weekly monitoring.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering AI search optimization. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve AI search optimization

Example prompts

  • “/seo-aeo-orchestrator”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Discover the project
  2. Run the SEO/AEO audit
  3. Implement and verify audit fixes
  4. Confirm strategy with the owner
  5. Research search intent
  6. Create the content foundation
  7. Measurement, publishing, and deployment
  8. Monitor and refresh

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SEO Aeo Orchestrator loads about 3.7k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,490 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 1,490 words, ~3,651 tokens.

Download SKILL.mdSave it as .claude/skills/seo-aeo-orchestrator/SKILL.md (or your agent's skills folder).
name
seo-aeo-orchestrator
description
Runs an audit-first SEO/AEO growth workflow from project discovery through implementation, foundational content, measurement setup, deployment verification, and optional weekly monitoring.
risk
critical
source
self
source_type
self
date_added
2026-09-16

SEO-AEO Growth Orchestrator Workflow

File: .agent/workflows/seo-aeo-orchestrator/WORKFLOW.md Workflow ID: seo-aeo-orchestrator Version: 2.0.0 Execution Mode: sequential gates with parallel content work where safe

Purpose

Turn a website or codebase into an evidence-backed SEO/AEO growth system. The workflow starts with an audit, implements approved fixes, confirms the business and keyword strategy, researches current search intent, creates foundational content, prepares external distribution, configures measurement, deploys, verifies, and offers weekly monitoring.

The workflow is designed for coding agents working directly in a repository. It must understand the project’s framework, routes, content storage, metadata implementation, sitemap/robots generation, deployment path, and authentication boundaries before editing or publishing.

Workflow entry point

json
{
  "workflow_input": {
    "project_path": "string — current project or repository",
    "site_url": "string — optional live URL",
    "business_type": "string — optional description of the business",
    "target_audience": "string — optional audience",
    "conversion_goal": "string — signup, demo, purchase, download, contact, or other",
    "user_keywords": ["string — optional owner-approved targets"],
    "location": "string — optional market or country",
    "foundation_page_count": "integer — 5–10, default 10",
    "research_mode": "browser | api | both | unavailable — default both",
    "existing_content": ["string — optional URLs, routes, or titles"],
    "tone": "professional | conversational | bold | empathetic | authoritative",
    "monitoring_preference": "ask | one-time | recurring | none — default ask"
  }
}

Authorization gates

The agent may inspect the codebase, run local checks, and draft recommendations without additional confirmation. Before each external or material mutation, obtain the required authorization:

  • implementing code/content changes: follow the user’s request and preserve unrelated work;
  • deploying or pushing to Git: confirm when the user has not already requested it;
  • accessing Google Search Console or Bing Webmaster: ask the user to authenticate in the browser or provide an approved connector;
  • submitting URLs or sitemaps: confirm the exact property and URLs before submission;
  • creating recurring monitoring: ask whether the user wants it, even if monitoring_preference is ask.

Never claim an account is connected, a sitemap is submitted, a URL is indexed, or a deployment is live without observable evidence.

Execution architecture

PHASE 0 — DISCOVERY
  inspect codebase, framework, routes, live URL, deployment, and content model
        │
        ▼
PHASE 1 — AUDIT
  SEO/AEO/technical/conversion audit with evidence and prioritized fixes
        │
        ▼
PHASE 2 — IMPLEMENTATION
  apply approved audit fixes, then re-audit and verify build/routes
        │
        ▼
PHASE 3 — STRATEGY CONFIRMATION
  ask for business context, target keywords, audience, location, and conversion goal
        │
        ▼
PHASE 4 — SEARCH-INTENT RESEARCH
  browser + API research when available; semantic fallback when unavailable
        │
        ▼
PHASE 5 — CONTENT FOUNDATION
  landing/product improvements + 5–10 foundational pages, default 10 when justified
        │
        ├───────────────┐
        ▼               ▼
  internal content   external distribution plan
        │               │
        └───────┬───────┘
                ▼
PHASE 6 — MEASUREMENT AND PUBLISHING
  Search Console/Bing setup (gated), sitemap/URL submission, deploy, verify
                │
                ▼
PHASE 7 — MONITORING
  weekly analysis, refresh recommendations, optional recurring automation

Phase 0 — Discover the project

  1. Inspect the repository without overwriting user work.
  2. Identify framework, package manager, routes, page components, content files/CMS, metadata helpers, sitemap and robots generation, schema implementation, internal-link patterns, environment configuration, and deployment commands.
  3. Identify whether a blog already exists. If not, determine the project’s native way to add pages and preserve its conventions.
  4. Inspect the live URL when supplied and record what was actually checked.
  5. Produce a short project map before making content recommendations.

Output: project-discovery.md with framework, routes, content model, deployment path, measurement status, and access limitations.

Phase 1 — Run the SEO/AEO audit

Use seo-aeo-content-quality-auditor with input_type: codebase, website, or both. Inspect:

  • crawlability, indexability, robots.txt, sitemap, canonical URLs, redirects, status codes, and duplicate routes;
  • title tags, meta descriptions, Open Graph/Twitter metadata, headings, URLs, image alt text, and structured data;
  • page purpose, search intent, topical coverage, thin/duplicate content, cannibalization, orphan pages, and internal links;
  • direct-answer blocks, definitions, steps, FAQs, comparison content, visible evidence, and AEO extractability;
  • conversion paths from foundational content to product, signup, pricing, demo, download, or contact pages;
  • performance/accessibility symptoms that affect search or conversion.

Every finding must include severity, evidence, impact, exact fix, verification method, and dependencies.

Output: audit-report.md and audit-fix-plan.md.

Phase 2 — Implement and verify audit fixes

  1. Apply blocker and high-priority fixes first.
  2. Fix technical foundations before producing new content: metadata, canonical behavior, sitemap, robots, routes, broken links, schema, and internal navigation.
  3. Fix landing-page content and conversion paths identified by the audit.
  4. Re-run the audit and compare before/after findings.
  5. Run the project’s build, test, lint, route, and link checks where available.

Do not start the foundation content phase while critical indexability or deployment blockers remain unresolved unless the user explicitly accepts the risk.

Output: updated code/content plus audit-verification.md.

Phase 3 — Confirm strategy with the owner

Ask concise questions if the answers are not already known:

  1. What does the business/product do, and who should convert?
  2. Which keywords or topics does the owner want to rank for?
  3. What market, location, conversion goal, and product pages should content support?

If the owner does not know target keywords, continue with provisional candidates derived from the audit and site, but label them clearly and request confirmation before treating them as final.

Phase 4 — Research search intent

Use seo-aeo-keyword-research with research_mode: both by default:

  • use browser research to inspect current Google/Bing result pages, related searches, snippets, People Also Ask-style questions, ranking formats, and wording;
  • use available search or keyword APIs for repeatable query, volume, trend, or competitor data;
  • reconcile disagreements and record the source, date, market/device, and confidence;
  • if only one source is available, say which one;
  • if neither is available, use semantic analysis only and mark live metrics unverified.

Prioritize problem-related queries that the product can genuinely solve. Search intent outranks attractive but irrelevant volume.

Output: seo-aeo-keyword-research-report.md containing owner keywords, provisional candidates, search-intent evidence, cannibalization risks, keywords to avoid, and a content map.

Phase 5 — Create the content foundation

Use seo-aeo-content-cluster to create between 5 and 10 foundational pages, defaulting to 10 only when there are 10 distinct defensible intents. If fewer than 5 distinct intents exist, explain the limitation instead of inventing topics.

Each foundational page must have:

  • one primary query and one dominant intent;
  • a specific problem it solves;
  • a search-intent-led H1;
  • a factual answer/extraction block;
  • useful body content, lists or steps where appropriate, and FAQs when warranted;
  • internal links to related foundational pages and a relevant product conversion path;
  • metadata, canonical URL, schema decision, and publishing route;
  • an external distribution candidate when republishing is appropriate.

Use seo-aeo-blog-writer to write the approved pages. Content should convert without unsupported claims, and every article should include a visible answer block plus a relevant product CTA when the intent supports it.

Create a separate 20-day editorial calendar after the foundation is mapped. It should contain distinct topics, target queries, intent, format, internal-link targets, product CTA, and suggested external distribution platform.

Outputs: foundational-content-plan.md, foundational page files in the project’s native content location, 20-day-editorial-calendar.md, and external-distribution-plan.md.

Show full SKILL.md (597 more words)Show less

Phase 6 — Measurement, publishing, and deployment

  1. Detect and validate sitemap and robots output locally.
  2. Ask whether the user wants Google Search Console and Bing Webmaster setup now.
  3. If yes, ask the user to authenticate in the browser or use an approved connector. Do not request or store passwords.
  4. Verify the correct property, submit the sitemap, and submit important URLs only after showing the exact targets.
  5. Build and deploy using the project’s established process when authorized.
  6. Verify production routes, canonical tags, metadata, sitemap, robots, schema, internal links, and conversion CTAs.
  7. Report what was completed, what was only prepared, and what is waiting for indexing or external confirmation.

Internal pages should be published on the website. External articles should be adapted for the selected platform, use canonical links where supported, and link naturally to the relevant internal article and product page. Do not mass-publish duplicated content or promise backlink outcomes.

Phase 7 — Monitor and refresh

After publishing, offer the user these choices:

  • one-time monitoring analysis;
  • weekly recurring monitoring;
  • no monitoring setup yet.

Ask explicitly before creating a recurring automation. If accepted, create a quiet monitor that reports only meaningful changes, completion, failures, or required user action. A recurring run should review Search Console/Bing data when connected: impressions, clicks, CTR, query changes, indexed pages, ranking movement, pages with rising impressions but low CTR, pages with clicks but weak conversion paths, emerging queries, cannibalization, and content needing refresh.

Output: weekly-seo-monitoring-report.md with observed metrics, changes since the last period, interpretation, recommended actions, and unresolved access limitations.

Final deliverables

outputs/
├── project-discovery.md
├── audit-report.md
├── audit-fix-plan.md
├── audit-verification.md
├── seo-aeo-keyword-research-report.md
├── foundational-content-plan.md
├── 20-day-editorial-calendar.md
├── external-distribution-plan.md
├── landing-page.md
├── internal-link-map.md
├── schema-markup.md
├── publishing-verification.md
└── weekly-seo-monitoring-report.md  # when monitoring runs

Completion gates

Before content production
  • Project structure and publishing path understood
  • Critical technical audit blockers addressed or explicitly accepted
  • Business, audience, conversion goal, and market recorded
  • Owner keywords confirmed or provisional keywords clearly labelled
  • Search-intent evidence recorded with sources and dates
Before deployment
  • 5–10 foundational pages planned, default 10 only when justified
  • No foundational pages cannibalize each other
  • Every page has a problem, intent, answer block, internal links, and relevant CTA
  • Metadata, canonical URLs, sitemap, robots, schema, and routes verified
  • Build/tests/lint pass where available
  • External distribution plan does not duplicate content recklessly
After deployment
  • Production URLs checked
  • Search Console/Bing setup status recorded honestly
  • Important URLs and sitemap submitted only with authorization
  • Monitoring preference asked explicitly
  • Recurring automation created only after user approval

Error handling

ConditionBehaviour
No codebase or URLAsk for a project path or live URL before a technical audit
No target keywordsProduce provisional candidates and ask for confirmation
No browser/API researchContinue semantically and label live metrics unverified
Critical indexability blockerHalt content publishing; return fix plan
Fewer than 5 defensible foundation topicsExplain the constraint; do not invent topics
Missing external credentialsPrepare exact steps and wait for user authentication
Deployment or build failureDo not claim publish success; return logs and next fix
User declines monitoringFinish without creating recurring automation
Script unavailableContinue manually and record the skipped verification

Connected skills

PhaseSkillPurpose
Auditseo-aeo-content-quality-auditorTechnical, content, AEO, and conversion audit
Researchseo-aeo-keyword-researchOwner-confirmed and live search-intent strategy
Foundationseo-aeo-content-clusterFoundational pages and 20-day calendar
Writingseo-aeo-landing-page-writer, seo-aeo-blog-writerConversion pages and intent-led articles
Metadataseo-aeo-meta-description-generatorTitle, description, and social metadata
Linksseo-aeo-internal-linkingSemantic links, product paths, and orphan fixes
Structureseo-aeo-schema-generatorValid structured data for visible content

When to Use

Use when coordinating a complete audit-first SEO/AEO growth engagement across a website or codebase, including authorized implementation, publishing, measurement setup, and optional monitoring.

Limitations

  • This workflow cannot guarantee rankings, indexing, conversions, deployment success, or third-party account state; it must report observable evidence and stop at missing authorization or credentials.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/seo-aeo-orchestrator of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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SEO Aeo Orchestrator compared with similar skills
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SEO Aeo Orchestrator this skillsickn33/agentic-awesome-skills47k1 repos~3.7kAutomated safety check: PassMIT
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
SEO Ops Structural Checklisttigerless-labs/seo-ops700—~3.3kAutomated safety check: NotesNone
SEOBhanunamikaze/Agentic-SEO-Skill960—~4.9kAutomated safety check: NotesMIT

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Categories

Questions about SEO Aeo Orchestrator

What does SEO Aeo Orchestrator do?

Runs an audit-first SEO/AEO growth workflow from project discovery through implementation, foundational content, measurement setup, deployment verification, and optional weekly monitoring. SEO Aeo Orchestrator is an agent skill from sickn33/agentic-awesome-skills. Runs an audit-first SEO/AEO growth workflow from project discovery through implementation, foundational content, measurement setup, deployment verification, and optional weekly monitoring.

When should I use SEO Aeo Orchestrator?

SEO Aeo Orchestrator fits situations like: tasks that involve AI search optimization.

How do I install SEO Aeo Orchestrator in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-orchestrator -a claude-code`. Or copy the skill folder (skills/seo-aeo-orchestrator in sickn33/agentic-awesome-skills) into .claude/skills/seo-aeo-orchestrator in your project. Claude Code loads it when a task matches its description.

How do I install SEO Aeo Orchestrator in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-orchestrator -a codex`. Or copy the skill folder (skills/seo-aeo-orchestrator in sickn33/agentic-awesome-skills) into .agents/skills/seo-aeo-orchestrator in your project. Codex loads it when a task matches its description.

Can I use SEO Aeo Orchestrator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-aeo-orchestrator, .gemini/skills/seo-aeo-orchestrator, .github/skills/seo-aeo-orchestrator and .opencode/skills/seo-aeo-orchestrator in your project.

What does SEO Aeo Orchestrator need to run?

SKILL.md names no scripts, command-line tools or credentials: SEO Aeo Orchestrator is instructions for the agent only.

Does SEO Aeo Orchestrator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is SEO Aeo Orchestrator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does SEO Aeo Orchestrator use?

SEO Aeo Orchestrator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SEO Aeo Orchestrator use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to SEO Aeo Orchestrator?

Skills that share tags, products or a category with SEO Aeo Orchestrator: Geo Fundamentals (wasp-lang/wasp, 19k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars) and SEO Ops Structural Checklist (tigerless-labs/seo-ops, 700 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Aeo Orchestrator?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.