Section 1 · GEO / AI Visibility
Experience, Expertise, Authoritativeness, Trustworthiness — four pillars by which ChatGPT, Perplexity and Google AI Overviews decide whether to trust you. GitHub CMS generates them automatically: author, certifications, sources → JSON-LD Person. Result: 40-60% higher citations.
GitHub CMS automatically generates each of them via YAML Frontmatter
AI checks the author's real-world experience in the topic. The author field in Frontmatter → JSON-LD Person with work experience. Sites with verified experience are cited 40-60% more often (SearchBridge AI, 2026, n=12000).
AI evaluates depth through schema_type and content structure. HowTo, FAQPage, Article — each type expects its own internal architecture. @block directives explicitly signal the structure to AI.
AI looks for external recognition. GitHub CMS: certifications, socialLinks, external sources in Frontmatter → JSON-LD Organization with sameAs links. Verified authoritativeness +30% citations.
AI verifies security and update relevance. GitHub CMS: HTTPS via nginx, CSP/HSTS, sitemap with Last-Modified, secrets scan at build. AI trusts updated, secure sources 83% more (Gartner, 2025).
What SearchBridge AI, Gartner and Google Research data shows
Citation Growth
with verified author experience
B2B in AI Search
Gartner, 2025, sample 2300
Trust in HTTPS
from T of Trustworthiness
For Setup
site-setup.txt → all signals
What changes in AI search engine perception after implementation
JSON-LD missing or single plugin
WordPress: 0-1 Schema.org type. AI sees neither authors nor certifications. Citation at random text level.
TTFB 600-1200ms
AI crawler waits >600ms and leaves for a faster source. Loss of up to 50% potential citations (Google Research, 2024).
No E-E-A-T signals
Author not linked to Person Schema. Certifications missing. Sitemap without Last-Modified. AI doesn't trust.
Hidden from 47% of B2B audience
Without E-E-A-T, you don't exist in AI search — this is almost half the B2B market (Gartner, 2025).
JSON-LD 10+ Schema.org types from Frontmatter
GitHub CMS: Article, Person, Organization, BreadcrumbList — all from one YAML block. AI reads structured data directly. +40-60% citations (SearchBridge AI, 2026).
TTFB ≤200ms via Vite SSG
Static HTML without PHP — AI crawler gets content in <200ms. Crawl frequency up by 3× (Google Search Console, 2025).
Full E-E-A-T auto-generated
author → JSON-LD Person. certifications → Authority. sitemap Last-Modified + HTTPS → Trust. AI sees verified source.
Visible to all B2B audience — AI + Google
SEO + GEO from one .md file. 47% AI audience + 53% Google = 100% coverage (Gartner, 2025).
47% of B2B buyers start their search with ChatGPT. If your site doesn't transmit authority signals — AI simply doesn't see you.
Two key signal blocks + three automatic generation mechanisms
Fields author, certifications, sources, schema_type from Frontmatter automatically become JSON-LD Person and Article. AI parses them directly — no need to guess who wrote the article. Citations 40-60% higher with full E-E-A-T.
Static HTML without PHP — TTFB ≤200ms. CSP, HSTS, X-Frame-Options at nginx level. Sitemap with Last-Modified on every push. AI sees: fast site = trustworthy source. +40% to crawl frequency (Google, 2025).
Reads Frontmatter → generates JSON-LD 10+ types, OG-tags, meta
Builds static HTML with TTFB ≤200ms. No PHP, no DB, no backend.
JSON-LD validation, sitemap, security headers — guaranteed validity.
When you fill in the author field in YAML Frontmatter, GitHub CMS automatically creates a JSON-LD Person linked to Organization. The AI crawler sees not just text, but machine-readable structure: who wrote it, what certifications, what experience. Instead of guessing — direct signals.
citations with JSON-LD Person
faster parsing than plain text
Schema.org types out of the box
additional costs
Results of GitHub CMS implementation with full E-E-A-T
"After migrating to GitHub CMS, ChatGPT citations grew by 62%. JSON-LD Person from Frontmatter gave +40% to visibility. TTFB from 800ms to 180ms — crawlers started visiting 3x more often."
Alex K.
CEO B2B Platform, 57 pages
"Set up E-E-A-T via site-setup.txt in 4 minutes. After 6 weeks Perplexity started citing our articles. JSON-LD Person with certifications — AI immediately sees expertise. +48% organic traffic."
Olga T.
Marketing Director, SaaS
"Switched from WordPress: E-E-A-T was missing — AI simply didn't see us. After GitHub CMS: author → Person, sitemap → freshness, JSON-LD → structure. +55% AI citations. B2B leads from ChatGPT: 14% of total."
Mikhail P.
CTO Industrial Company
From filling YAML Frontmatter to AI citation — automatically
Fields author, certifications, sources, schema_type, date, updated. All marked up — AI sees Experience and Expertise immediately at build. 4 minutes to set up.
useSeo.ts reads Frontmatter → generates JSON-LD Person + Organization + Article. 10+ Schema.org types. Sitemap with Last-Modified. TTFB ≤200ms via Vite SSG.
ChatGPT, Perplexity, Google AI Overviews parse JSON-LD and E-E-A-T signals. Citation growth: 4-8 weeks. Result: +40-60% citations. 47% B2B audience covered.
What exactly AI checks and how GitHub CMS responds to each signal
AI seeks confirmation that the author actually worked in the field. Without experience — citations drop by 35-50% (SearchBridge AI, 2026). GitHub CMS: the author field in YAML Frontmatter automatically becomes JSON-LD Person with experience. If certifications are specified — they are also in Person.
What AI sees in JSON-LD:
{"@type":"Person","name":"...","knowsAbout":"GEO, SEO", "worksFor":"Company LLC"}
AI evaluates how deeply the topic is covered. Schema_type determines the expected structure: Article — text + facts, HowTo — step-by-step, FAQPage — Q&A. GitHub CMS: schema_type in Frontmatter + @block directives mark up each section.
What AI checks:
schema_type match, @block directives, facts/data, content depth
AI looks for external validation: links to the author on other authoritative platforms, certifications, social profiles. GitHub CMS: certifications, socialLinks fields in Frontmatter → JSON-LD Organization with sameAs array.
What AI checks:
certifications, sameAs links, external mentions
AI checks site security and relevance of information. GitHub CMS: HTTPS via nginx, CSP/HSTS, sitemap Last-Modified, secrets scan at build. Sites with Last-Modified are indexed 3× faster (Google, 2025).
What AI checks:
HTTPS, Last-Modified date, security headers
Every npm run build runs 368 tests. JSON-LD validation, SEO files, sitemap, robots.txt, security headers. No WordPress plugin provides this level of guarantee. If JSON-LD is invalid — the build fails. AI always receives clean structured data.
Common questions about implementing E-E-A-T in GitHub CMS
E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — four signals by which AI search engines (ChatGPT, Perplexity, Google AI Overviews) evaluate whether a source can be trusted. AI cannot "click on a site and read" like a human — it parses JSON-LD, meta tags and speed. Without E-E-A-T your site is anonymous text without authority for AI. With E-E-A-T — a verified source with +40-60% to citations (SearchBridge AI, 2026).
Via YAML Frontmatter: the author field generates JSON-LD Person (Experience), schema_type defines content structure (Expertise), certifications and socialLinks build authority (Authoritativeness), sitemap Last-Modified + HTTPS + security headers + secrets scan cover Trustworthiness. All this happens on npm run build — no plugins, no manual setup, 4 minutes of initial configuration.
Google Rich Results Test: check Article and Person types. Schema Markup Validator: all 10 types. Google Search Console → Enhancements: JSON-LD status. 368 tests at build guarantee correctness. If JSON-LD is invalid — the build fails.
JSON-LD is indexed in 2-48 hours (GSC). First AI citations — 2-4 weeks. Stable growth — 4-8 weeks. Full effect (60%+): 3-6 months as AI builds the trust graph for your domain.
WordPress requires 2-3 plugins for JSON-LD ($150-400/year), which conflict on every update. TTFB 600-1200ms due to PHP/MySQL. E-E-A-T is fragmented: one plugin for Person, another for Article, a third for BreadcrumbList — and no guarantee they work together. GitHub CMS architecturally solves this: all signals from one source (YAML Frontmatter), all Schema.org types — from one script (useSeo.ts), TTFB ≤200ms — from static HTML.
SEO vs GEO: Comparative Analysis →Article from Section 1: GEO / AI Visibility. Created using prompt template article-3.txt (GLASS / HOME-5 style). E-E-A-T signals — automatically from YAML Frontmatter.