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seo-2026

SEO content strategy for the AI Overviews era (2026). Research keywords, analyze SERP + AI citations, generate blog posts optimized for both Google ranking AND AI citation. Handles keyword research, competitor gap analysis, content briefs, full article generation with schema markup, and AI-citation-optimized structure. Use when asked to write blog posts, do keyword research, create content briefs, optimize for SEO, improve search rankings, get cited by AI, or build topic cluster authority.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/aisoftgg/seo-2026
Or

SEO 2026 -- AI-Era Content Engine

SEO has changed. AI Overviews appear on 48% of Google queries. Getting cited by AI systems (Google AIO, ChatGPT, Perplexity) is now as important as ranking in the top 10. This skill handles both.

Quick Start

User says "write a blog post about X" or "do keyword research for X":

  1. Run keyword research (Step 1)
  2. Analyze top SERP results + AI Overview citations (Step 2)
  3. Generate content brief (Step 3)
  4. Write the article with AI-citation-optimized structure (Step 4)
  5. Generate schema markup (Step 5)

Step 1: Keyword Research

Use web_search to find keyword opportunities:

web_search: "[topic] site:ahrefs.com OR site:semrush.com keyword difficulty"
web_search: "people also ask [topic]"
web_search: "[topic]" (examine autocomplete suggestions)

Evaluate each keyword on:

  • Search intent: informational, transactional, commercial, navigational
  • AI Overview presence: does this query trigger an AI Overview? (search it)
  • Competition: who ranks? How deep is their content?
  • Topic cluster fit: does it connect to other keywords we target?

Output a keyword map: primary keyword + 5-10 secondary/LSI keywords + intent classification.

For detailed keyword research methodology, see references/keyword-research.md.

Step 2: SERP + AI Citation Analysis

For the primary keyword, analyze what currently ranks:

  1. web_search the keyword -- note top 5 results
  2. web_fetch top 3 results -- analyze structure, depth, word count, headings
  3. Check for AI Overview -- search the query, note what gets cited
  4. Identify gaps -- what do competitors miss? What questions go unanswered?

Key metrics to extract:

  • Average word count of top results
  • Common H2/H3 headings across competitors
  • Topics covered vs. topics missing
  • Citation patterns in AI Overview (if present)

For the AI citation analysis framework, see references/ai-citation.md.

Step 3: Content Brief

Generate a brief containing:

# Content Brief: [Title]

**Primary keyword:** [keyword]
**Secondary keywords:** [list]
**Search intent:** [informational/transactional/etc.]
**Target word count:** [based on competitor analysis, typically 2000-4000]
**AI Overview status:** [present/absent for this query]

## Required Sections
- [H2 headings based on competitor analysis + gap fill]

## Questions to Answer
- [From "People Also Ask" + competitor gaps]

## Differentiation Angle
- [What we cover that competitors don't]

## Internal Links
- [Other pages on the site to link to/from]

## Citation Optimization Notes
- [Specific stats, data, or claims to include for AI citation]

Step 4: Write the Article

Follow this structure for maximum ranking + AI citation potential:

AI-Citation-Optimized Structure

  1. Lead with a direct answer (40-60 words) before any elaboration. AI systems extract the first substantive paragraph.

Metadata

Author@aisoftgg
Stars4473
Views0
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-aisoftgg-seo-2026": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.