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04Case Studies

The first case study is this website.

We won’t fabricate client results we haven’t earned. So here’s the one engagement we can show you end to end — the one you’re looking at right now — with the method laid bare.

The challenge

Launch an agency nobody has heard of — into a search landscape being rewritten by AI.

No client list, no borrowed logos, and a category (AEO/GEO) most buyers can’t yet name. The site itself had to do the convincing: prove the craft, and prove the thesis, at the same time.

The approach

Make the website the case study.

Rather than claim expertise, we engineered corieosity.com to demonstrate it — server-rendered content AI crawlers can read, schema and entity signals that make us citable, and an immersive WebGL layer that stays under a one-second load. If an AI engine recommends AI-search agencies, we want to be in the answer.

The build

Rich for humans, machine-readable for engines.

Next.js 16 with React Server Components keeps every word in the initial HTML. A single persistent React Three Fiber scene — driven by a custom GLSL point-field — carries the immersive identity across routes without re-loading, so Core Web Vitals stay green while the experience stays cinematic.

The strategy in three layers

Findable → Extractable → Citable.

Layer 01 — SEO

Findable

Crawlable, server-rendered HTML, green Core Web Vitals, clean structure and topical authority.

→ If Google can't read you cleanly, nothing downstream works.
Layer 02 — AEO

Extractable

Question-led structure, concise answer blocks and schema, so engines can lift your answer into snippets and AI Overviews.

→ You become the box at the top, not link #7.
Layer 03 — GEO

Citable

Original stats, cited sources, consistent entity signals and presence where AI retrieval trusts — so LLMs name you.

→ You get cited inside ChatGPT, Perplexity and Gemini answers.
What we measure

Results, reported — not assumed.

A live site can’t claim a case-study number it hasn’t banked. So we publish the framework we hold ourselves (and every client) to, and fill the numbers in as they land.

Layer

Findable

Indexed, server-rendered, Core Web Vitals in the green from day one.

Layer

Extractable

FAQ and answer blocks structured with schema for snippets and AI Overviews.

Layer

Citable

Entity-consistent, source-backed content built to be named by ChatGPT, Perplexity, and Gemini.

Our promise to clients

The numbers we’ll be measured on.

We commit to

Answer Readiness score

A measurable baseline before we build, and the delta after.

We commit to

AI citations

Tracked appearances in ChatGPT, Perplexity and Google AI Overviews.

We commit to

Core Web Vitals

LCP < 2.5s, INP < 200ms, CLS < 0.1 — reported, not assumed.

We commit to

Conversions

Every build ties to a business number, not a deliverables checklist.

Start here

Write the next case study with us.

Founding-partner engagements are open now — real results, published together.

Available in U.S. business hours · ET / PT · Billed in USD