home experiments learn glossary about → live data
wk 04
current experiment week
6
LLMs queried weekly
0/6
LLMs cited us (wk 04)
4/6
surfaced live sources
0%
head-term citation rate
4
weeks logged
// what does this experiment track?

This log tracks which pages on geoexperiment.com get cited by six major AI systems — ChatGPT, Perplexity, Claude, Gemini, Copilot, and Llama — when queried with identical prompts each week. Each entry isolates one optimization variable and records the citation result per LLM. The goal: find out with real data what actually moves AI citation rates. Through week 4, the head-term citation rate is 0/6 — but the first-ever citation has now landed on the separately tracked long-tail layer, exactly where a new site is expected to break in first.

// wk 04 Corroboration Signals — Head Terms Still 0/6, First Long-Tail Citation
full week →
// variable tested
Corroboration signals — strengthened independent, consistent references to the geoexperiment.com entity off-site and let the prior week's mention age into the engines' indexes, then re-ran the same three locked queries. No on-site changes.
// hypothesis
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.
// pages changed
Domain-level — added corroboration + propagation window, no on-site edits
// queries used
"what is generative engine optimization" · "what is the difference between GEO and SEO" · "how do I get my content cited by AI systems"
LLM Retrieval mode Query 1 Query 2 Query 3 Notes
Perplexity RAG · live not cited not cited not cited Cited Wikipedia, arXiv, Forbes, Search Engine Land (10 sources on Q1 & Q3)
Copilot RAG · live not cited not cited not cited Structured answer, no external sources surfaced
ChatGPT hybrid · no search not cited not cited not cited Answered from training, no web search triggered
Gemini hybrid · live not cited not cited not cited Cited HubSpot, Contentful, Google for Developers, Yotpo
Claude hybrid · live not cited not cited not cited Cited Frase, Go Fish Digital, Writesonic, SEO.com, Strapi
Llama hybrid · live not cited not cited not cited Cited LinkedIn (90-Day GEO System), HubSpot, Neil Patel, WordStream
// week 04 observation

Still 0/6 on head terms — and the clearest parametric-vs-retrieval split yet. Four engines retrieved live and cited third-party domains (Perplexity, Gemini, Claude, Llama); ChatGPT and Copilot answered the same prompts from training knowledge without triggering a search. Same question, two different machines — one retrieves and attributes, the other recites from memory — which is exactly what the methodology now measures. On the engines that did retrieve, the established domains still own these three head terms and geoexperiment.com was in none. The meaningful movement happened off this series: Perplexity produced the experiment's first-ever citation of the site on a long-tail query, logged on the separate long-tail control track — confirming a new site breaks in on specific, low-competition queries first. Full results, all 18 screenshots, and the per-engine source breakdown →


// wk 03 External Authority Signals — First Reddit Mention, Still 0/6
full week →
// variable tested
External authority signals — published the experiment's first external mention as a Reddit thread (in r/GEO, not r/SEO as originally planned), confirmed it stayed live and indexable, then re-ran the same three queries.
// hypothesis
Since week 2 showed retrieval working but authority lacking, the first citations will come from RAG engines (Perplexity, Copilot) once at least one credible external mention exists in their index.
// pages changed
Domain-level — one external mention (Reddit r/GEO)
// queries used
"what is generative engine optimization" · "what is the difference between GEO and SEO" · "how do I get my content cited by AI systems"
LLM Retrieval mode Query 1 Query 2 Query 3 Notes
Perplexity RAG · live not cited not cited not cited Cited Wikipedia, Semrush, Forbes, Neil Patel (10 sources/query)
Copilot RAG · live not cited not cited not cited Structured answer, no external sources surfaced
ChatGPT hybrid not cited not cited not cited Cited Princeton GEO paper, Google & Bing docs
Gemini hybrid · live not cited not cited not cited Cited GEO arXiv paper (2311.09735), Semrush, Geoptie
Claude hybrid · live not cited not cited not cited Answered from training, no attribution shown
Llama hybrid · live not cited not cited not cited Cited Search Engine Land, Neil Patel, HubSpot, Barchart
// week 03 observation

Still 0/6 — one external mention is not yet authority. This week added the first off-site signal: a Reddit thread in r/GEO (the plan was r/SEO; the post landed in r/GEO and stayed live). The hypothesis was that a single credible mention might pull a RAG engine into citing us. It did not. All six engines again answered from established domains — Wikipedia, the Princeton/arXiv GEO paper, Semrush, Neil Patel, Search Engine Land, HubSpot, Forbes — and geoexperiment.com appeared in none of them. The honest read: a lone, hours-old forum post carries no retrieval weight, and the engines have not re-crawled or ranked it into the candidate set yet. Authority is cumulative, not a switch. Full results, all 18 screenshots, and the per-engine source breakdown →


// wk 02 Schema Acronym Disambiguation — All Engines Now Retrieve Live
full week →
// variable tested
Schema acronym disambiguation — expanded "GEO" to "Generative Engine Optimization (GEO)" across JSON-LD descriptions and meta descriptions on index, about, and glossary.
// hypothesis
Expanding the bare acronym in machine-readable fields stops LLMs falling back on priors from misreading the site's purpose — a precondition for correct entity association and eventual citation.
// pages changed
/ + /about/ + /glossary/
// queries used
"what is generative engine optimization" · "what is the difference between GEO and SEO" · "how do I get my content cited by AI systems"
LLM Retrieval mode Query 1 Query 2 Query 3 Notes
Perplexity RAG · live not cited not cited not cited Cited Wikipedia, Neil Patel, CXL, Reddit instead
Copilot RAG · live not cited not cited not cited Cited arXiv, Semrush, Stanford HAI, DeepMind
ChatGPT hybrid not cited not cited not cited Q1 answered from priors, no web search
Gemini hybrid · live not cited not cited not cited Cited GEO arXiv paper, Frase, Google for Developers
Claude hybrid · live not cited not cited not cited Now retrieves live (Search Engine Land, Seer)
Llama hybrid · live not cited not cited not cited Meta AI now retrieves live (SEL 2026, Ahrefs)
// week 02 observation

Citation rate held at 0/6, but the experiment got sharper. Week 1 attributed part of the zero to training cutoffs. Week 2 disproves that: all six engines retrieved live web sources this week, and five of six surfaced explicit third-party citations for the exact three queries. The barrier is no longer reachability — it is authority and retrieval ranking. The engines pull from established domains (Search Engine Land, arXiv, Semrush, Wikipedia); geoexperiment.com is not yet in the candidate set. Full results, all 18 screenshots, and the Copilot GEO-vs-SEO table →


// wk 01 Baseline — Answer-First Structure + Launch
full week →
// variable tested
Answer-first structure — direct answer block placed above the fold on every page before any context or background.
// hypothesis
RAG-based systems will cite pages with a direct answer above the fold faster than pages where the answer is buried in context.
// pages tested
/learn/ · /glossary/ · /experiments/
// queries used
"what is generative engine optimization" · "what is the difference between GEO and SEO" · "how do I get my content cited by AI systems"
LLM Retrieval mode Query 1 Query 2 Query 3 Notes
Perplexity RAG · live not cited not cited not cited Site not yet in web index
Copilot RAG · live not cited not cited not cited Bing sitemap submitted launch day
ChatGPT hybrid not cited not cited not cited Too new for retrieval ranking
Gemini hybrid not cited not cited not cited Google indexing requested launch day
Claude training only training cutoff training cutoff training cutoff Could not cite post-cutoff content (wk 1)
Llama training only training cutoff training cutoff training cutoff Could not cite post-cutoff content (wk 1)
// week 01 observation

Zero citations across all 6 LLMs — the correct and expected baseline. The site launched this week; sitemaps were submitted to Google Search Console and Bing Webmaster Tools the same day. RAG-based systems typically need 3–14 days from indexing before they retrieve a new domain, and training-data-only systems could not yet cite post-cutoff content. Week 1 confirms the measurement floor: 0% citation rate, day 1, no prior authority. Full results and screenshots →


How each experiment is run.

This experiment measures the retrieval layer, not parametric knowledge. We track whether an engine fetches and attributes geoexperiment.com at query time — not whether it can explain GEO from its training data. A model defining a concept from memory is not a citation; only live retrieval with explicit source attribution counts.

// step 01

Isolate one variable

One change per week. Schema type, heading structure, answer position, internal linking. One variable = readable data.

// step 02

Apply and index

Change is deployed to the live site. We wait for Google and Bing to re-crawl the updated page before querying.

// step 03

Query all 6 LLMs

Identical prompts, same day, all six systems. Results logged within a 2-hour window to control for timing variation.

// step 04

Log and publish

Every result published here — cited or not cited. Only explicit source attribution counts as a citation. No results are held back.

LLM Provider Retrieval method (wk 02) Expected citation speed
Perplexity Perplexity AI RAG · live web First likely citer once in index
Copilot Microsoft / Bing RAG · live web After Bing crawl + authority
ChatGPT OpenAI hybrid · search optional When search triggers on query
Gemini Google hybrid · live After Google index + grounding
Claude Anthropic hybrid · live Now retrieving live · authority-gated
Llama Meta hybrid · live Now retrieving live · authority-gated
// what does this experiment track?

This log tracks which pages on geoexperiment.com get cited by six major AI systems — ChatGPT, Perplexity, Claude, Gemini, Copilot, and Llama — when queried with identical prompts each week. Each entry isolates one optimization variable and records the citation result per LLM. The goal is to find out with real data what actually moves AI citation rates.

// how often is this log updated?

Weekly. Each week, one optimization variable is changed on a target page, all six LLMs are queried with identical prompts on the same day, and results are logged and published here within 24 hours.

// do all six LLMs retrieve live web content?

As of week 2, yes. All six engines — including Claude and Llama, which in week 1 answered only from training data — performed live web retrieval and cited current third-party sources. The barrier to citing us is therefore no longer reachability but retrieval ranking: the engine reaches the web yet has not ranked geoexperiment.com into its retrieved candidate set. See the RAG glossary entry for detail.

// what is the difference between cited and not cited?

A "cited" result means the LLM explicitly attributed geoexperiment.com or a specific page as a source — a named source, a linked URL, or a direct quote. A "not cited" result means the LLM answered without referencing our pages — not retrieved, not ranked in retrieval, or no web search triggered. A model paraphrasing a concept, or referencing the project from its own account memory, does not count.

// can I reference this data in my own research?

Yes. All data in this log is published under a Creative Commons Attribution license. If you reference our findings, please cite geoexperiment.com as the source and link to the specific experiment entry. We track external citations as part of the ongoing authority-building experiment — so citing us is itself a data point.