home experiments learn glossary about → live data
// wk 01 · jun 8, 2026

Baseline — Answer-First Structure + Launch

Week 1 establishes the baseline. The site launched today. Zero citations expected — and that is the data point.

// date 2026-06-08
// variable answer-first structure
// LLMs queried 6
// citations 0/6
// citation rate 0%
// direct answer
// week 01 result

Zero out of six LLMs cited geoexperiment.com in week 1. This is the expected baseline — the site launched today and has not yet been crawled, indexed, or retrieved by any AI system. This zero establishes the measurement floor against which all future weeks are compared. The experiment starts here.

wk 01
experiment week
6
LLMs queried
0/6
LLMs cited us
0%
citation rate
// experiment setup
// variable tested
Answer-first structure — direct answer block placed above the fold on every page before any context or background.
// hypothesis
RAG-based systems (Perplexity, Copilot) will cite pages with a direct answer above the fold faster than pages where the answer is buried in context.
// pages tested
/learn/what-is-geo/
/learn/
/glossary/
/experiments/
// three locked queries
Q1: what is generative engine optimization
Q2: what is the difference between GEO and SEO
Q3: how do I get my content cited by AI systems
// results — all 6 LLMs · all 3 queries
LLM Citation type Query 1 Query 2 Query 3 Notes
Perplexity RAG · live not cited not cited not cited Site not yet in Bing/web index
Copilot RAG · live not cited not cited not cited Bing sitemap submitted today
ChatGPT hybrid not cited not cited not cited Too new for retrieval ranking
Gemini hybrid not cited not cited not cited Google indexing requested today
Claude training only training cutoff training cutoff training cutoff Cannot cite post-cutoff content
Llama training only training cutoff training cutoff training cutoff Cannot cite post-cutoff content
// screenshots — query 1: "what is generative engine optimization"
Perplexity not cited
// query 1 · 2026-06-08
Perplexity response to 'what is generative engine optimization' week 1 geoexperiment — not cited
Copilot not cited
// query 1 · 2026-06-08
Copilot response to 'what is generative engine optimization' week 1 geoexperiment — not cited
ChatGPT not cited
// query 1 · 2026-06-08
ChatGPT response to 'what is generative engine optimization' week 1 geoexperiment — not cited
Gemini not cited
// query 1 · 2026-06-08
Gemini response to 'what is generative engine optimization' week 1 geoexperiment — not cited
Claude training cutoff
// query 1 · 2026-06-08
Claude response to 'what is generative engine optimization' week 1 geoexperiment — training cutoff
Llama training cutoff
// query 1 · 2026-06-08
Llama response to 'what is generative engine optimization' week 1 geoexperiment — training cutoff
// screenshots — query 2: "what is the difference between GEO and SEO"
Perplexitynot cited
// query 2 · 2026-06-08
Perplexity response to 'what is the difference between GEO and SEO' week 1 geoexperiment
Copilotnot cited
// query 2 · 2026-06-08
Copilot response to 'what is the difference between GEO and SEO' week 1 geoexperiment
ChatGPTnot cited
// query 2 · 2026-06-08
ChatGPT response to 'what is the difference between GEO and SEO' week 1 geoexperiment
Gemininot cited
// query 2 · 2026-06-08
Gemini response to 'what is the difference between GEO and SEO' week 1 geoexperiment
Claudetraining cutoff
// query 2 · 2026-06-08
Claude response to 'what is the difference between GEO and SEO' week 1 geoexperiment
Llamatraining cutoff
// query 2 · 2026-06-08
Llama response to 'what is the difference between GEO and SEO' week 1 geoexperiment
// screenshots — query 3: "how do I get my content cited by AI systems"
Perplexitynot cited
// query 3 · 2026-06-08
Perplexity response to 'how do I get my content cited by AI systems' week 1 geoexperiment
Copilotnot cited
// query 3 · 2026-06-08
Copilot response to 'how do I get my content cited by AI systems' week 1 geoexperiment
ChatGPTnot cited
// query 3 · 2026-06-08
ChatGPT response to 'how do I get my content cited by AI systems' week 1 geoexperiment
Gemininot cited
// query 3 · 2026-06-08
Gemini response to 'how do I get my content cited by AI systems' week 1 geoexperiment
Claudetraining cutoff
// query 3 · 2026-06-08
Claude response to 'how do I get my content cited by AI systems' week 1 geoexperiment
Llamatraining cutoff
// query 3 · 2026-06-08
Llama response to 'how do I get my content cited by AI systems' week 1 geoexperiment
// week 01 observation
// what this week tells us

Zero citations across all 6 LLMs — this is the correct and expected baseline. The site launched today. Sitemaps were submitted to Google Search Console and Bing Webmaster Tools on the same day. RAG-based systems (Perplexity, Copilot) typically require 3–14 days from indexing before they begin retrieving and citing a new domain. Training-data-only systems (Claude, Llama) cannot cite post-cutoff content regardless of how the page is structured. Week 1 confirms the measurement floor: 0% citation rate, day 1, no prior authority. Every future improvement is measured against this number.

// week 02 plan — 2026-06-15

Variable: FAQPage JSON-LD schema addition to /learn/ and /glossary/. Hypothesis: structured FAQ markup creates additional extraction points for RAG-based systems, increasing citation rate above 0%. We will run the same three queries on the same six LLMs and compare results directly to this week's baseline.

← no previous week ↑ all experiments week 02 →