An independent U.S. firm for the teams whose reputation AI now decides. We measure how models recommend, cite and represent you, across competitors, media, vendors and investor diligence, on global and sovereign models, and turn it into decisions you can act on.
An instrument with its own methodology and index, not a content shop. We never execute the work we recommend, which is what keeps the diagnosis honest.
An independent AI recommendation intelligence firm. U.S. company, MENA reach.
A measurement instrument with a proprietary methodology and index, not a content shop.
Measure and explain why AI recommends one entity over another, across global and sovereign models, and identify what to change.
We don’t write content, run SEO, build websites or place PR. That independence is what keeps the read objective.
Monitoring tools tell you that AI mentioned you. None tell you why it recommended someone else, or what to change.
Each engagement answers a specific question a leader is already asking. These are drawn from real work: the same engine, pointed at a different decision.
We run your media list through the engine and rank who the models actually recognize and cite, mapped to your goals, regions and languages. You stop spending PR budget on coverage AI ignores.
We pressure-test an incoming proposal or compare bidders: what each covers, what it misses, and whether its headline claims hold up in the models and regions it never tested. We have no stake in who wins the work, which keeps the read honest.
Prompt by prompt, we measure where a rival owns the recommendation and decompose why: comparative framing, fact distortion, the sources AI trusts. We have seen an official category partner stay invisible to AI while two rivals were named in every answer.
Before you raise in the US, the Gulf or Asia, we measure how the AI tools investors use for first-pass diligence describe and rank you, region by region, model by model, language by language. You fix the gaps before the roadshow, not after.
We built a proprietary methodology, our own scoring index, and a multi-model dataset that grows with every scan. The metrics below are ours: named, defined and reported consistently. The exact prompts, weights and calibration are a trade secret and stay with GEONYX LLC.
Each score is the output of a versioned pipeline. The stages below show the data flow. The prompts, scoring rules and calibrated weights are proprietary and stay with GEONYX LLC.
ChatGPT, Gemini, Perplexity and Claude are one slice. The sovereign and Arabic models buyers trust in the Gulf, Falcon, Jais and Qwen, sit behind no public API. We run them on dedicated GPU, in-language, so a gap that is invisible to every API-only tool comes back as a measured number.
The price gap is a capability gap. Here is what a dashboard physically cannot do.
A report your team reads and acts on carries more weight than a dashboard visited once and forgotten. Every report tells you what to do next, why, and how we will verify it.
One page for leadership: the read at a glance, plus the single most important move.
Ten to fifteen pages of structural decomposition and a prioritized plan.
Begin with a scoped diagnostic on one category. It is a real read, not a demo, and it tells you whether a deeper program is worth it before you commit.
One category, the core models, your top competitors. A real read on where you stand and why, with the single most important move to make.
The full baseline: every intent, global and regional lenses, sovereign models, competitor decomposition and a prioritized plan you can act on.
Executive Snapshot each month, Deep Diagnostic each quarter. We diagnose, you act, we re-measure and confirm what moved.
We don’t sell these disciplines as services. We turned them into a measurement discipline of our own. Knowing how these systems work from the inside is exactly what lets us diagnose why a model recommends your competitor.
The same restraint that earned Red Dot and Pentawards recognition is what makes a diagnostic legible to a CMO and defensible to a CTO. We design the result to be acted on, not decorated.
Years inside commercial search intent are the reason our methodology separates discovery, comparison and commerce, and finds where in the buying journey a brand actually loses.
We understand entity signals, source authority and content structure deeply, which is what lets us isolate which factors move a model and which do not. We measure the signal; acting on it is your team’s work, never ours.
Editorial expertise powers our truth-set and Fact Precision layer, comparing what a model claims about you against an approved set of facts, and flagging distortion before it costs you.
Our engineers built the multi-model, multi-run engine and operate it on dedicated GPU, the reason we can diagnose sovereign models like Falcon, Jais and Qwen that API-only tools cannot access.
You work directly with the specialists who run your measurement. And because we have no stake in who executes the work we recommend, the read stays independent.
One senior team across brand, search, content, AI and engineering, pointed at a single question. We measure why your recommendation moves, and prove what changed it. We don’t execute the work.
A focused set of B2B organizations in competitive or regulated categories, plus founders raising capital where AI now shapes the first impression.
See why AI recommends a competitor, where you disappear in purchase-intent queries, and what specifically moves the ranking.
Validate media plans, publications and vendor proposals against the sources AI actually cites, before you commit budget.
Know what AI tells investors about you, region by region, before the roadshow, and close the gaps that show up in first-pass diligence.
Diagnostics across sovereign and Arabic models such as Falcon, Jais and Qwen, on dedicated GPU. Coverage no API-only tool can offer.
Type an entity and run a single probe. Each model is queried, parsed and scored, then reconciled into a visibility read. This is an illustrative simulation of the pipeline. Live engagements run real models on dedicated GPU infrastructure, under NDA.
Every engagement begins with a request and a scoped diagnostic. We review each one personally. If it is a fit, we move to a full assessment, under NDA.