Hundreds of millions of buyers now ask ChatGPT, Gemini, Perplexity and Google AI before they open a search box. MemeCMO measures exactly how those engines describe your brand, builds what's missing, and reports every week — one platform, ten agents.

Every scan asks ChatGPT, Gemini, Claude, Perplexity and Google AI Overview the questions your buyers really ask, in their language, on a frozen panel — so week-to-week movement is real, not noise.

We read the pages the engines cite: structure, freshness, length, schema. What gets cited becomes a measured bar for your content, not a guess.

Content, site upgrades, distribution kits and encyclopedia drafts come out of the same workspace, briefed by what the engines actually cite in your market. What your team edits, a re-run never overwrites.

Log what went live; we fetch it, hash it and watch whether the engines start citing it. The next scans show what moved — by question, by engine — on the same frozen panel.

GEO is not a trick played on the engines. It is the discipline of putting true, findable facts where AI looks — and measuring honestly whether AI picks them up. Every principle below is a feature in the workspace, not a line on a slide.
AI can only repeat what is public. So the platform never becomes the place where truth is kept: it reads your own pages, shows where AI contradicts them or finds nothing, and sends you back to fix the source. No hidden database of “verified facts”.
Presence, share of voice, prominence, sentiment, citation — every rate published with its numerator and denominator, sample sizes and confidence labels, in a public Measurement Standard (v1.1) anyone can check. Plans differ in scope, never in method.
A frozen prompt panel per market, the real Google AI Overview page, judged answers you can open and re-check. An effect is reported only when the targeted prompts beat the control prompts by more than 10 points. We never promise rankings or sales.
Every competitor you re-tag, every prompt you reword, every action you log is recorded with its reason and re-applied on every re-run. Your team's judgement compounds inside the platform instead of evaporating in chat threads.
The workspace is built for a minimal unit: one owner and scoped agents that sense, judge, act, measure and record on their own. Your team specifies and gives feedback; the platform side builds the agents. No engineering hires on your side.
AI trusts a short list of domains in each market. We rank them across every scan, fetch and profile the pages they cite, publish the Vietnam list monthly, and verify what you put live — so your pages and the media AI already cites carry your facts.
Discover what buyers ask → measure what AI answers → build what is missing from your own facts → log what went live → re-measure on the same panel. Every step is an agent; every agent leaves a deliverable in your workspace.
A public fact base built from your own pages and documents; 110 buyer questions per market in the buyer's language, 20 of them key; canonical answers grounded only in those facts.
ChatGPT, Gemini, Perplexity, Claude and the real Google AI Overview page. Presence over time, brand visibility, share of voice, presence by engine and by question — every cell opens the answer behind it.
The domains AI cites in your market, ranked across scans; the cited pages fetched and profiled (structure, freshness, schema) so content is written to a measured bar. Your own pages join the corpus: site coverage and contradictions in every report.
Publish-ready pages and FAQ, paste-in JSON-LD, placement kits for the sources AI trusts (competitors excluded), encyclopedia drafts with a compliant path. Numbers without a source become placeholders, never inventions.
Log what went live; we fetch it, hash it and attribute what moved by question and engine. Stage-aware weekly digests, monthly reports, alerts on drops — and your edits survive every re-run.
The workspace is built for a minimal unit: one owner and scoped agents that sense, judge, act, measure and record on their own. Your team specifies and gives feedback; the platform side builds the agents. No engineering hires on your side.
One project is one brand × one market. In Southeast Asia the AI knowledge layer is nearly empty in local languages; in the US, state law changes the right answer — so each state is its own market.
English-language AI cognition for global brands is already a red ocean. In Vietnamese, Thai, Indonesian, Malay and Filipino, the AI knowledge layer is still largely vacant — first movers write the default answer. And in the United States, buyers ask AI with a state attached ("best injury lawyer in Texas"), and the correct, compliant answer differs at the state line — a national score hides where you actually win or lose.
Scheduled scans run at your plan's cadence; the agents build in between; every action you log is verified and attributed in the next scan.
Profile builds the fact base from your site; Discovery writes the prompt panel in the buyer's language; Monitor measures five engines; Report prioritizes the gaps. Your Day-0 baseline in about five minutes, on a panel that then stays frozen.
Standard answers, JSON-LD, gap content, placements, encyclopedia drafts — each grounded in your facts, each edited by you, each edit kept on re-runs. When something goes live, log it: the platform fetches and verifies the page.
Scheduled scans on the frozen panel keep scores comparable. Effect = change on the prompts you targeted minus change on the control prompts; only changes above 10 points count. Digest to the inbox, alerts on drops, credits for “run it now”.
The answers we give most often — written so AI engines can quote them cleanly too.
Request platform access or a partner conversation. Tell us the brand and the market; we'll run the baseline scan and walk you through the results.