SEO 2026 - AI Era Content Engine

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.

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:

text

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:

markdown

# 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.

2. Use clear H2/H3 hierarchy matching search intent. Each H2 section should be self-contained (134-167 words) -- this matches the AI extraction window.

3. Include stats with source attribution every 150-200 words. AI systems cite data-rich content. Format: "According to [Source], [specific stat]."

4. Add a summary table or comparison if applicable. AI systems frequently cite tabular data.

5. Answer "People Also Ask" questions as H2 sections with concise 2-3 sentence answers followed by elaboration.

6. Keep paragraphs to 2-3 sentences max. Shorter paragraphs = easier AI extraction.

7. Include an FAQ section with JSON-LD FAQ schema.

Content Quality Rules

• E-E-A-T signals: include author credentials, first-hand experience, specific examples
• Definite language: AI systems prefer "X costs $29/month" over "X may cost around $29/month"
• Entity density: mention specific tools, people, companies by name (AI citation relies on entity matching)
• Fresh data: ~50% of AI-cited content is less than 13 weeks old. Include current-year data.
• 2000+ words minimum: pages over 20K characters average 4.3x more AI citations

Meta Tags

markdown

Title: [Primary keyword] -- [benefit or year] (50-60 chars)
Meta description: [Direct answer to query + CTA] (150-160 chars)

For the complete writing checklist, see references/writing-checklist.md.

Step 5: Schema Markup

Generate JSON-LD for:

• Article schema (always)
• FAQ schema (if FAQ section exists)
• HowTo schema (if tutorial content)
• BreadcrumbList (always)

See references/schema-templates.md for copy-paste JSON-LD templates.

Topic Cluster Strategy

Single pages rank worse than topic clusters in 2026. Build clusters:

text

Pillar page: "Complete Guide to [Topic]" (3000-5000 words)
  |-- Cluster: "[Topic] for beginners" (2000 words)
  |-- Cluster: "[Topic] vs [Alternative]" (2000 words)
  |-- Cluster: "Best [Topic] tools/tips" (2000 words)
  |-- Cluster: "[Topic] common mistakes" (1500 words)
  |-- Cluster: "[Topic] advanced guide" (2500 words)

Each cluster page links to the pillar and to other cluster pages. This builds topical authority that AI systems use for entity confidence scoring.

GEO: Generative Engine Optimization

Beyond traditional SEO, optimize for AI search engines:

1. Multi-source corroboration: get your brand mentioned on 3+ independent domains (guest posts, interviews, directories)
2. Structured claims: use definite language with numbers ("reduces cost by 40%") not vague claims
3. Question-answer format: AI systems love extracting Q&A pairs
4. Update frequency: refresh content every 8-12 weeks to stay within the 13-week citation window

Common Mistakes

• Writing for keywords without checking search intent -- wrong format = no ranking
• Ignoring AI Overviews -- if AIO shows for your keyword, optimize for citation, not just ranking
• Thin content (<1000 words) -- deep content gets 4.3x more AI citations
• No internal linking -- destroys topic cluster authority
• Stale content -- AI systems prefer content < 13 weeks old
• Generic headings -- H2s should match actual search queries