106 AI-Cited Pages in ~90 Days(~75% of total site pages)
Agenxus planned, wrote, and engineered an AEO-first publication designed for AI extraction — then backed it with elite performance fundamentals (Next.js + Vercel) to maximize crawl efficiency, content consumption, and citation eligibility. 106 of 142 total URLs are now cited by AI search engines.
The Goal
Build a new publication in a highly competitive niche and earn early visibility in both traditional search and AI-mediated discovery — where systems like ChatGPT, Perplexity, and Google AI Overviews selectively cite sources they can crawl, parse, and trust. The constraint: achieve it from a standing start, with no existing domain authority, in under 90 days.
What We Delivered (End-to-End)
- Site build + engineering: Next.js (React) implementation deployed on Vercel with a performance-first approach — SSR throughout, no client-side rendering for content pages, clean URL structures.
- Content creation: AEO-first editorial production across 142 URLs: framework-driven outlines, comparison tables, direct-answer BLUF sections, and structured internal linking designed around topical clusters.
- Technical AEO: 44-checkpoint schema implementation (Organization, Article, Person, BreadcrumbList, FAQ), llms.txt deployed at launch, AI crawler access explicitly configured in robots.txt.
- E-E-A-T foundation: Author bio pages with Person schema, editorial standards page, external citations to SEC filings and Federal Reserve data — the trust signals YMYL financial content requires for AI citation consideration.
- Measurement: SEMrush AI citation tracking + GSC crawl/index coverage + continuous iteration based on observed citation patterns.
Why Speed Was a Force Multiplier
In AI search, you don't just "rank" — you get selected. Speed and stability reduce crawl friction, improve render reliability, and increase the number of pages AI systems can successfully retrieve and process. A PageSpeed Insights mobile score of 99 means nearly zero crawl timeout risk across all 142 URLs.
Why This Worked
The 75% citation rate isn't the result of any single tactic. It's the output of six systems working together from day one — none of which would have produced the same result in isolation.
Speed-first architecture
Next.js + Vercel with SSR — AI crawlers receive fully-rendered HTML with no JavaScript execution required, eliminating the most common cause of zero-citation pages.
Extraction-first content
Every article structured with a BLUF opener, H2/H3 hierarchy, scannable lists, and definition markup — the same patterns repeated across all 142 URLs so AI systems can parse predictably at scale.
Schema + entity mapping
Organization, Article, Person, BreadcrumbList, and FAQ schema deployed from day one via the 44-checkpoint AEO framework — not added retroactively after traffic stalled.
llms.txt from launch
A comprehensive llms.txt file described the site's content areas, editorial approach, and preferred citation format — giving AI models a structured ingestion map before the first page was indexed.
Internal linking system
Topical cluster architecture rather than flat navigation — Bitcoin analysis linking to Ethereum and DeFi content through contextual in-content links, building a semantic entity web AI systems can traverse.
E-E-A-T from day one
Full author attribution with Person schema, external citations to SEC filings and Federal Reserve data, and a published editorial standards page — the trust signals that YMYL content requires for AI citation consideration.
Results Snapshot
According to SEMrush AI Search tracking, the publication reached 106 cited pages out of 142 total URLs — a 75% citation rate on a site under 3 months old in a competitive financial niche.
- Frontend: Next.js (React) + Tailwind CSS
- Deployment: Vercel (global edge delivery)
- Rendering: Server-side rendering throughout — no CSR for content pages
- Performance: Core Web Vitals-first build patterns, PageSpeed 99 mobile
- AEO: 44-checkpoint schema, llms.txt, AI crawler access, internal linking system
We build and optimize sites end-to-end — from engineering and content creation to schema, llms.txt, and AI citation readiness. Most clients see initial citation inclusions within 2–6 weeks.
This is not a 6-month SEO play.
Most clients see movement within 2–6 weeks. Infrastructure deploys in 3–7 days. No new content required to start.
The takeaway
AI engines don't reward "good SEO."They reward citability.
75% citation coverage in 90 days came from speed, schema, trust signals, and content built for extraction — not keywords. Right now, AI is deciding who your category leaders are, and most brands aren't even in the conversation.
Free audit · No commitment · Results within 48 hours