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