seo-optimizer

name

seo-optimizer

description

Search Engine Optimization and AI Search Optimization (GEO) specialist. Use when: (1) optimizing for traditional search (Google, Bing), (2) optimizing for AI search engines (ChatGPT, Perplexity, Google AI Overviews, Claude), (3) implementing schema markup for AI citation, (4) improving Core Web Vitals (LCP, INP, CLS), (5) creating citation-worthy content structure, (6) zero-click optimization, (7) E-E-A-T signal implementation. Expert in GEO (Generative Engine Optimization), structured data, and AI-readable content.

SEO Optimizer

Lean router for search + AI-search optimization. The core model and the few high-leverage rules are below; all deep detail (full schema JSON, per-platform source lists, detailed checklists, Finnish-language SEO notes) lives in references/ai-seo-patterns.md — read that file when implementing.

When to Use

• Optimizing for traditional search (Google, Bing) or AI search (ChatGPT, Perplexity, Google AI Overviews, Claude)
• Implementing schema markup for rich results / AI citation
• Improving Core Web Vitals (LCP, INP, CLS)
• Structuring content to be cited by AI; zero-click / E-E-A-T work

Why GEO Matters (2025–2026)

• ~61% of searches start on AI platforms by 2026; budget ~50% of SEO effort to GEO
• 58–60% of Google searches are zero-click; CTR drops ~61% on queries with AI Overviews
• Proper schema → ~3.7x more likely to be cited by AI

Core Model: SEO vs GEO

Factor	Traditional SEO	GEO
Goal	Rankings & clicks	Answer inclusion & citations
Primary metric	CTR, position	Citation frequency, inclusion rate
Backlinks	Critical	Weak signal for AI
Content structure	Helpful for users	+40% more citations
Freshness	Moderate	High
Keyword density	1–2%	Less relevant
Schema markup	Rich snippets	Major citation boost

GEO and SEO are complementary — structured, well-attributed, fresh content wins both. Optimize for answer inclusion, not just position.

The High-Leverage Rules

Apply these first; they drive most of the citation/ranking gain. Largest citation boosts (full table in the reference):

Element	Citation boost
Original data tables	~+410%
Complete schema markup	~+370%
FAQ schema / Q&A format	~+320%
Attributed expert quotes	~+40%
Inline citations to authoritative sources	+30–40%

1. BLUF (Bottom Line Up Front) — answer the question in the first paragraph, ≤50 words, then explain. AI extracts the lead.
2. Schema markup — at minimum Article (with author/sameAs/dates), FAQPage, and Organization. Full copy-paste blocks in the reference.
3. Original data tables — unique, sourced, dated tables are the single most citation-worthy element.
4. Freshness — set and keep dateModified accurate; AI weights recency.
5. Machine-readable E-E-A-T — author credentials in schema, first-person experience, citations to/from authoritative sources, HTTPS + clear contact.
6. Entity clarity — define each entity at first mention, name it consistently, back it with schema.

Core Web Vitals (single source of truth)

Metric	Good	Needs work	Poor	First levers
LCP	≤2.5s	2.5–4.0s	>4.0s	fetchpriority="high" + preload hero, CDN, WebP/AVIF
INP	≤200ms	200–500ms	>500ms	break long tasks (>50ms), defer JS, Web Workers, virtualize lists
CLS	≤0.1	0.1–0.25	>0.25	explicit img/video dimensions, aspect-ratio, reserve embed space

(INP replaced FID in March 2024 and measures the full interaction lifecycle.) Detailed techniques + code in references/ai-seo-patterns.md → "Core Web Vitals".

Project Context: Raamattu Nyt

This is a Finnish-language Bible app. SEO/GEO work here is primarily Finnish: Finnish keyword intent, Finnish Q&A phrasing, and Bible-reference discoverability. See the "Finnish Language SEO Notes" section in references/ai-seo-patterns.md before writing copy or schema. Prefer real, app-specific entities (verses, topics, reading plans) over generic examples.

Checklist (pre-publish)

Content: BLUF answer first · primary keyword in title (<60 chars) + H1 · meta description 150–160 chars · FAQ section + schema · original data/table where relevant · author attribution w/ credentials · 3–5 contextual internal links · canonical set.

Technical: schema implemented & validated · images optimized + alt text · LCP ≤2.5s / INP ≤200ms / CLS ≤0.1 · mobile responsive · dateModified fresh.

GEO: direct answer in first paragraph · inline citations to authoritative sources · entity defined at first mention · Article + FAQPage schema.

Full expanded checklists: references/ai-seo-patterns.md → "Implementation Checklists".

Monitoring

• SEO: Google Search Console, GA4, PageSpeed Insights, Ahrefs/SEMrush
• GEO: citation velocity, answer-inclusion rate, brand-mention frequency, source attribution (test representative queries in ChatGPT/Perplexity)

Reference

references/ai-seo-patterns.md — platform source preferences, full schema code (Article/FAQPage/HowTo/SoftwareApplication), detailed citation-boost stats, implementation + CWV checklists, content-formatting patterns, and Finnish language SEO notes.