Prompt Engineering
for SEO.
Craft AI prompts that generate search-optimized content, rank on Google, and win AI overviews with E-E-A-T signals and strategic keyword integration.
SEO Prompt Fundamentals
Prompt engineering for SEO combines traditional search optimization with AI-powered content generation, targeting both human readers and search algorithms. Optimize for keywords, user intent, E-E-A-T signals, and LLMO (LLM Optimization) for conversational AI search visibility.
Core SEO Prompting Template
Create SEO content for "[PRIMARY KW]" targeting [INTENT]. Audience: [PERSONA] Word count: [1500-3000] Structure: H1 → Intro → H2s (questions) → FAQ → CTA Keywords: Primary [KW], Secondary [LIST], LSI [NATURAL] Include: Internal links, sources, schema hints, E-E-A-T signals
This template ensures your AI-generated content balances keyword optimization with readability and authority signals.
Key Optimization Areas
- •Traditional SEO: Keywords, intent alignment, structural hierarchy
- •LLMO/AI Search: Conversational queries, featured snippet optimization, citations
- •E-E-A-T: Author expertise, editorial authority, experience signals, trustworthiness
- •Content Quality: Original insights, data-backed claims, comprehensive coverage
Keyword Research Prompts
Use AI to identify topical clusters, map search intent, and discover low-competition opportunities that drive qualified traffic.
Cluster Development Prompt
Generate topical cluster for pillar "[SEED KW]": - Pillar: H1 title, 2500+ words, URL structure - 10 Clusters: Keyword, intent, content type (guide/listicle) - Interlinking map (table format) - Volume/competition estimates - Low-hanging fruit prioritized
Creates a comprehensive SEO strategy with pillar pages and cluster content for ranking across related keywords.
Intent Mapping Prompt
Search intent analysis for "[KW]": 1. Top results type (listicles/guides)? 2. Featured snippet opportunity? 3. Question variations (People Also Ask) 4. Commercial elements (CTAs/pricing)? 5. Optimized title/meta (under limits) 6. Visual opportunities (charts/diagrams)
Analyzes SERP to align content strategy with what already ranks and identifies white-space opportunities.
Content Creation Prompts
Featured Snippet Targeting
Position 0 content for "[QUESTION KW]": Format: [PARAGRAPH + LIST/TABLE] Length: 45-65 words paragraph + 5-7 items Primary keyword: Front-loaded Sources: Cited inline Direct answer: No filler Structure: Question → Answer → Why it matters
Target Google's featured snippet carousel with concise, well-structured answers that directly address common search queries.
E-E-A-T Article Generator
2500-word guide: "[H1 KW]" E-E-A-T Signals: - Author bio (expertise, credentials) - Expert quotes (3+) - Data tables with sources - Case studies (real examples) - Original research/insights Structure: Problem → Framework → Examples → Templates → Results
Builds authority with comprehensive content that signals expertise, experience, and trustworthiness to search engines.
On-Page Optimization Prompts
Meta Elements Generator
Meta package for "[TITLE]": Title: 50-60 chars, KW front Description: 150-160 chars, hook+CTA Slug: KW-optimized-format Schema: Article/FAQPage JSON-LD Image alt: Descriptive KW
Header Hierarchy Auditor
Optimize headers for SEO: H1: [KW exact] - One per page H2s: Question/secondary KW (8-10) H3s: Supporting details Keyword density: Natural (1-2%) Readability: Scannability optimized
Building E-E-A-T Authority Signals
Google's emphasis on Experience, Expertise, Authoritativeness, and Trustworthiness means content must demonstrate real authority.
Expertise Signals
- • Author credentials and biography
- • Professional certifications displayed
- • Years of experience documented
- • Published research citations
- • Speaking engagements/media mentions
Authority Signals
- • Backlinks from authoritative sites
- • Brand mentions across web
- • Industry recognition/awards
- • News mentions and press
- • Structured data markup
Trustworthiness Signals
- • About page authenticity
- • Contact information prominence
- • Privacy/security transparency
- • Customer reviews/testimonials
- • Consistent brand messaging
Experience Signals
- • First-hand case studies
- • Before/after examples
- • Personal anecdotes (YMYL)
- • Hands-on demonstrations
- • Real-world data/results
LLMO: LLM Optimization Techniques
As AI-powered search (Google Generative Search, Perplexity, Claude) grows, optimize for LLM consumption with conversational queries and citable structures.
Conversational Query Coverage
Voice/conversational variants for "[KW]": - "Who/what/when/where/how [KW]?" - Long-tail phrases (15 variations) - FAQ schema content - Featured snippet variants - Natural language phrasing
Citation-Friendly Structure
LLMs cite information when structured clearly:
- • Clear claims with sources inline
- • Statistics with attribution links
- • Expert backing with quote blocks
- • Structured data (tables, lists)
- • Authoritative tone without filler