home experiments learn glossary about → live data
// week 04 result

Zero out of six LLMs cited geoexperiment.com on the three locked head-term queries in week 4 — unchanged from the baseline. This week's variable was corroboration signals: strengthening independent, consistent references to the geoexperiment.com entity off-site and letting the prior week's mention age into the engines' indexes, with no on-site content changes. The head-term count did not move. What did show clearly is the retrieval split: Claude, Gemini, Llama and Perplexity retrieved live and cited third-party domains, while ChatGPT and Copilot answered from training knowledge without surfacing any external sources. Separately — and tracked on its own long-tail layer, not in this head-term series — Perplexity produced the experiment's first-ever citation of geoexperiment.com on a long-tail query. On these three head terms, the established domains still own the answer.

wk 04
experiment week
6
LLMs queried
0/6
LLMs cited us
4/6
surfaced live sources
// variable tested
Corroboration signals — strengthened independent, consistent references to the geoexperiment.com entity off-site and let the prior week's r/GEO mention age into the engines' indexes, then re-ran the three locked queries on the same six engines. No on-site changes were made this week, isolating the external corroboration signal.
// hypothesis
If retrieval works but authority is the bottleneck, then a second independent reference plus a propagation window should be more likely to enter a RAG engine's candidate set than a single same-week mention. RAG engines (Perplexity, Copilot) remain the most probable first citers on head terms.
// changed this week
added corroboration
+ propagation window
no on-site edits
// 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
LLM Retrieval mode Query 1 Query 2 Query 3 Sources it cited instead
Perplexity RAG · live not cited not cited not cited Wikipedia, arXiv GEO paper, Forbes, Search Engine Land, Neil Patel, North Jersey, TechTarget, Medium (10 sources on Q1 & Q3)
Copilot RAG · live not cited not cited not cited Structured GEO answer; no external source list surfaced in capture
ChatGPT hybrid · no search not cited not cited not cited Answered from training knowledge; no web search triggered, no sources surfaced
Gemini hybrid · live not cited not cited not cited HubSpot, Contentful, Google for Developers, Discovered Labs, Yotpo
Claude hybrid · live not cited not cited not cited Frase, Go Fish Digital, Geoptie, Mersel AI, Writesonic, SEO.com, Strapi, Shareuhack, Sapt.ai, AI Magicx, Averi
Llama (Meta AI) hybrid · live not cited not cited not cited LinkedIn (90-Day GEO System), HubSpot, Neil Patel, WordStream

// scoring rule: only an explicit source attribution to geoexperiment.com counts as "cited." A model paraphrasing GEO concepts, or referencing the project from its own account memory, does not count.

Perplexitynot cited
// query 1 · 2026-06-29
Perplexity response to 'what is generative engine optimization' week 4 geoexperiment
Copilotnot cited
// query 1 · 2026-06-29
Copilot response to 'what is generative engine optimization' week 4 geoexperiment
ChatGPTnot cited
// query 1 · 2026-06-29
ChatGPT response to 'what is generative engine optimization' week 4 geoexperiment
Gemininot cited
// query 1 · 2026-06-29
Gemini response to 'what is generative engine optimization' week 4 geoexperiment
Claudenot cited
// query 1 · 2026-06-29
Claude response to 'what is generative engine optimization' week 4 geoexperiment
Llamanot cited
// query 1 · 2026-06-29
Llama response to 'what is generative engine optimization' week 4 geoexperiment
Perplexitynot cited
// query 2 · 2026-06-29
Perplexity response to 'what is the difference between GEO and SEO' week 4 geoexperiment
Copilotnot cited
// query 2 · 2026-06-29
Copilot response to 'what is the difference between GEO and SEO' week 4 geoexperiment
ChatGPTnot cited
// query 2 · 2026-06-29
ChatGPT response to 'what is the difference between GEO and SEO' week 4 geoexperiment
Gemininot cited
// query 2 · 2026-06-29
Gemini response to 'what is the difference between GEO and SEO' week 4 geoexperiment
Claudenot cited
// query 2 · 2026-06-29
Claude response to 'what is the difference between GEO and SEO' week 4 geoexperiment
Llamanot cited
// query 2 · 2026-06-29
Llama response to 'what is the difference between GEO and SEO' week 4 geoexperiment
Perplexitynot cited
// query 3 · 2026-06-29
Perplexity response to 'how do I get my content cited by AI systems' week 4 geoexperiment
Copilotnot cited
// query 3 · 2026-06-29
Copilot response to 'how do I get my content cited by AI systems' week 4 geoexperiment
ChatGPTnot cited
// query 3 · 2026-06-29
ChatGPT response to 'how do I get my content cited by AI systems' week 4 geoexperiment
Gemininot cited
// query 3 · 2026-06-29
Gemini response to 'how do I get my content cited by AI systems' week 4 geoexperiment
Claudenot cited
// query 3 · 2026-06-29
Claude response to 'how do I get my content cited by AI systems' week 4 geoexperiment
Llamanot cited
// query 3 · 2026-06-29
Llama response to 'how do I get my content cited by AI systems' week 4 geoexperiment
// what this week tells us

Still 0/6 on head terms — but week 4 surfaced the cleanest parametric-vs-retrieval split yet. Four engines retrieved live and cited third-party domains: Perplexity (Wikipedia, arXiv, Forbes, Search Engine Land), Gemini (HubSpot, Contentful, Google for Developers), Claude (Frase, Go Fish Digital, Writesonic, SEO.com), and Llama (LinkedIn, HubSpot, Neil Patel, WordStream). The other two — ChatGPT and Copilot — answered the same questions from training knowledge without triggering a web search or surfacing any external source. Same prompt, two different machines: one retrieves and attributes, the other recites from memory. This is exactly the distinction the methodology now names — the experiment measures the retrieval layer, and a model explaining GEO from its parameters is not a citation event at all.

On the engines that did retrieve, geoexperiment.com was in none of the candidate sets — the established domains still own these three head terms. That remains the expected reading: authority is cumulative, and corroboration measured over a short window is sub-threshold, not a failure. The meaningful movement happened off this series. Perplexity produced the experiment's first-ever citation of geoexperiment.com — on a long-tail query, logged on the separate long-tail control track. It confirms the standing thesis: a new site breaks in on specific, low-competition queries first, long before it can contest head terms. // note: Perplexity returned 10 sources on Q1 and Q3; the captures show the top of each list. The full panels are being expanded to confirm the head-term 0/6 is clean to the bottom of every source set.

// week 05 plan — 2026-07-06

Variable: follow the long-tail signal. Now that Perplexity has cited the site on a long-tail query, week 5 widens the long-tail control track and re-runs a full baseline across all six engines on the three locked head terms to confirm whether the long-tail citation generalises. Hypothesis: citation expands query-by-query from specific long-tail terms toward broader head terms as corroboration accumulates — Perplexity first, other RAG engines following. Same locked queries, direct comparison to this week.

← week 03 ↑ all experiments week 05 → soon