GEO guides & AI-engine observations
White-hat GEO practice, scoring explainers, and first-hand notes from a team that watches Chinese and Western AI engines every day.
Observations
First-hand notes on how Chinese and Western AI engines answer.
First-hand notes on Chinese vs Western AI engines: one question, two answer ecosystems
Four structural differences we see daily between Chinese and Western AI engines: citation ecosystems, answer shapes, volatility, and brand aliases.
2026-07-24 · ~2 min read
A field guide to Chinese AI engines (mid-2026)
Doubao, Kimi, DeepSeek, Yuanbao, ERNIE and more — a three-category map of how Chinese users meet AI answers, and three structural differences from the West.
2026-07-24 · ~2 min read
Guides
White-hat, practical guides from GEO concepts to execution.
What is GEO (Generative Engine Optimization)? Definition, mechanics, and the white-hat playbook
What GEO is, where the term comes from, how it relates to SEO, and the five white-hat practices that actually move AI visibility.
2026-07-24 · ~2 min read
GEO vs AEO vs SEO: what actually differs
Where SEO, AEO and GEO each come from, what genuinely differs, and why fighting over the labels wastes budget.
2026-07-24 · ~2 min read
How to check whether AI recommends your brand: a 5-minute manual test, then continuous monitoring
Open an AI assistant, ask a question your buyers actually ask, and see if you appear — five minutes. Doing it right, and making it a trackable metric, means avoiding four traps.
2026-08-08 · ~3 min read
How to choose an AI visibility monitoring platform: 8 questions to ask any vendor
Don't shop the feature list — interrogate the methodology. Eight questions to ask any vendor, each with what a good answer looks like. Use them on everyone, including us.
2026-08-08 · ~3 min read
How to evaluate a GEO vendor's report: ask these five questions first
Thick reports are cheap to generate now — page count no longer signals rigor. Five questions to test any GEO report: data, reproducibility, methodology, verification, proofreading.
2026-08-01 · ~5 min read
How to see AI-driven traffic in your own analytics
AI-driven visits often hide as “direct” in your reports. Three layers to check: AI referrer domains, a UTM convention, and branded-search echo — with honest limits for each.
2026-08-01 · ~3 min read
The GEO glossary: 30 terms, bilingual
From GEO and AEO to mention rate, llms.txt and prompt injection — one-line bilingual definitions of 30 core terms in the field.
2026-07-24 · ~4 min read
Experiments
Our own public build log, plus reproducible experiments on engine behaviour.
Building OrcaScope in public: the Wave 0–1 experiment log
We are our own first customer — a plain record of the three real Wave 0–1 changes we shipped, including what we haven't done yet.
2026-07-24 · ~3 min read
Our AI visibility score is zero: the OrcaScope self-tracking scoreboard, episode 0
We pointed our own platform at ourselves: 36 real buyer questions, composite score 0.00 (0 of 120 cells). A public record starting from zero, with methodology and denominators.
2026-08-08 · ~3 min read
Product
Scoring notes, engine integrations and product updates.
How we score AI visibility: the full story behind the 0–100 number
The six steps from monitoring prompts to the 0–100 score: mention detection, citation parsing, small-sample down-weighting and versioning — in plain language.
2026-07-24 · ~2 min read