Aeo Content Free Temp

v1.0.0

Create or refresh AEO-optimized content that gets cited by AI assistants (Gemini, ChatGPT, Perplexity) using only free tools. Two modes: CREATE new content t...

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Install the skill "Aeo Content Free Temp" (mmyg11/aeo-content-free-temp) from ClawHub.
Skill page: https://clawhub.ai/mmyg11/aeo-content-free-temp
Keep the work scoped to this skill only.
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Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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npx clawhub@latest install aeo-content-free-temp
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high confidence
Purpose & Capability
The name/description match the instructions: the skill performs web research, builds briefs, and drafts content to be citation‑worthy. It only requires web_search, web_fetch, and LLM reasoning which are appropriate for the stated goal. No unrelated environment variables, binaries, or installs are requested.
Instruction Scope
SKILL.md instructs the agent to web_search and web_fetch top results (including reddit) and to analyze/produce content. This is expected for content research, but it means the agent will retrieve and process arbitrary public URLs. The instructions do not ask the agent to read local files, system config, or unrelated credentials.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest risk for disk writes or arbitrary code execution.
Credentials
No environment variables, credentials, or config paths are requested. The declared requirements (web_fetch, web_search, LLM) are proportionate to the task.
Persistence & Privilege
always is false and there's no indication the skill modifies other skills or requests permanent/system-level privileges. Autonomous invocation is allowed (platform default) but not combined with other red flags.
Assessment
This skill appears internally consistent: it fetches public web pages, analyzes them, and drafts AEO-optimized content without asking for credentials or installing software. Before installing, consider: (1) granting web_fetch/web_search access means the agent will retrieve arbitrary public URLs — avoid giving it private or access-restricted URLs; (2) ensure you have the right to reproduce or summarize fetched content (copyright/quoting considerations); (3) verify any publishing steps you take (indexability, bylines, schema) with your site policy; and (4) monitor the first runs to confirm the agent only fetches expected public pages. If you need the agent to work with private pages or CMS publishing, expect additional credentials and review them carefully.

Like a lobster shell, security has layers — review code before you run it.

latestvk97embdcycrpy8btmk55dmt8p9839vkw
143downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

AEO Content Skill (Free)

Source: github.com/psyduckler/aeo-skills Part of: AEO Skills SuitePrompt Research → Content → Analytics

Create or refresh content that AI assistants want to cite — using zero paid APIs.

Requirements

  • web_fetch — analyze currently-cited sources and existing content
  • web_search — find competing content (Brave free tier, optional)
  • LLM reasoning — research, brief, draft, and evaluate

Mode Detection

  • Create mode — User provides a target prompt but no existing URL → write new content
  • Refresh mode — User provides an existing page URL (+ optional target prompt) → audit and update

Input

  • Target prompt (required for create, optional for refresh) — the AI prompt this content should win
  • Brand/domain (required) — who the content is for
  • Existing URL (refresh mode) — the page to update
  • Topic context (optional) — additional info about the brand's angle
  • Content type (optional) — guide, comparison, how-to, explainer

Create Mode Workflow

Step 1: AI Landscape Research

Search the target prompt and close variants to understand the current answer landscape:

  1. Web search the exact prompt — search engines show similar sources to what AI cites
  2. web_fetch the top 5-10 results — these are the pages AI models draw from
  3. web_search for "[topic]" site:reddit.com — find real user questions and discussions

For each top-ranking page, extract:

  • Main points and structure
  • Unique data, frameworks, or insights
  • Gaps — what they miss or get wrong
  • Freshness — when was it last updated?

Step 2: Build the Content Brief

Use the template in references/content-brief-template.md to structure research.

Key decisions:

  • Mandatory topics — every sub-topic the AI currently covers in its answer
  • Unique value angle — what will this content add that no current source provides? (Most important decision.)
  • Content structure — outline with H2/H3 headings that mirror question phrasing
  • Target specs — word count, format, tone

Step 3: Write Citation-Worthy Content

Draft following citation signals from references/citation-signals.md. Key principles:

  • Lead each section with a direct, quotable 1-2 sentence answer
  • Use descriptive headings that match question phrasing
  • Include original data, frameworks, or expert perspective
  • Name specific tools, companies, people, statistics
  • Cover every sub-question the AI currently answers, then go deeper on 2-3 areas
  • Cut fluff — every paragraph earns its place

Step 4: Self-Evaluate

Before delivering, check the draft against currently-cited sources:

  1. Coverage — addresses every topic the top sources cover?
  2. Depth — goes deeper on at least 2-3 areas?
  3. Uniqueness — offers something no current source has?
  4. Extractability — AI can pull a direct answer from each section?
  5. Entity richness — specific names, tools, numbers throughout?
  6. Freshness — examples, data, references are current?

Step 5: Deliver with Publishing Guidance

Output final content plus title, meta description (150-160 chars), and:

  • Add publication date + author byline with credentials
  • Ensure page is indexable (no noindex, no paywall)
  • Add schema markup if applicable (FAQ, HowTo, Article)
  • Internal link from existing related content
  • Re-check target prompt in AI models 2-4 weeks after indexing

Refresh Mode Workflow

Step R0: Audit the Existing Page

Before any landscape research, analyze the current page:

  1. web_fetch the existing URL — get the full content
  2. Extract current structure: headings, topics covered, depth per section
  3. Note: publication date, last updated date, author info
  4. Check freshness: outdated stats, old tool names, expired examples, stale references
  5. Identify what's already strong (keep these sections)

Step R1: AI Landscape Research

Same as Create Step 1 — research what AI models currently cite for the target prompt. If no target prompt was provided, infer it from the page's topic and title.

Step R2: Gap Analysis (Diff)

Compare existing content against the competitive landscape:

  • Missing topics — sub-topics AI covers that the page doesn't → flag for addition
  • Outdated info — old statistics, discontinued tools, expired examples → flag for replacement
  • Missing entities — competitors, tools, people the AI mentions that the page doesn't → flag for inclusion
  • Structural issues — buried answers, vague headings, no clear extractable statements → flag for restructure
  • Freshness gaps — old dates, prior-year references → flag for update
  • Strengths to preserve — sections already well-written, potentially already cited → keep as-is

Output: a prioritized list of changes with rationale for each.

Step R3: Edit (Not Rewrite)

Apply changes surgically:

  • Add new sections for coverage gaps (place them logically in the existing structure)
  • Update outdated data points, examples, tool names, statistics
  • Restructure weak sections — add extractable lead sentences, improve headings
  • Weave in missing entities naturally (don't keyword-stuff)
  • Preserve sections that are already strong
  • Update publication/modified date

Output the refreshed content with clear markup showing changes:

  • [ADDED] — new sections or paragraphs
  • [UPDATED] — modified existing content
  • [RESTRUCTURED] — reorganized for better extractability
  • [UNCHANGED] — kept as-is (note why it's strong)

Step R4: Before/After Summary

Provide a clear comparison:

  • What was added (new sections, topics, entities)
  • What was updated (stats, examples, references)
  • What was restructured (headings, lead sentences)
  • What was removed (outdated info)
  • Expected impact on citation-worthiness

Step R5: Self-Evaluate + Deliver

Same 6-point evaluation as Create Step 4, plus:

  • Does the refresh maintain the page's existing voice and style?
  • Are all internal/external links still valid?
  • Is the updated date reflected?

Deliver with the same publishing guidance as Create Step 5.


Tips

  • The unique value angle is make-or-break for both modes
  • For refresh: resist the urge to rewrite everything. Surgical edits that add missing pieces are more efficient and preserve existing authority
  • First-party data is the strongest citation signal — if the brand has relevant data, use it prominently
  • For comparison prompts ("X vs Y"), be balanced — AI models avoid citing biased sources
  • Shorter, sharper content that directly answers the prompt beats long rambling pieces
  • This skill pairs with aeo-prompt-research-free which identifies target prompts

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