CiteRE decodes every citation-share improvement CiteHQ.io delivers for sentiment, and the underlying methodology runs through the same six steps, scored on the same scale and measured across the same six platforms — ending in a re-measured, documented result, not just a diagnosis. Here's exactly how it works.
Every methodology on this page — the six steps, the six platforms, the 0–4 scale — measures whether a brand gets found. CiteRE is built to answer a harder question: once you're found, what does the AI system's answer actually make someone feel about you? A handful of platforms are starting to add sentiment features of their own — but they stop at the report. CiteRE feeds directly into a bilingual team that acts on what it finds, not a dashboard you're left to interpret alone.
It started with OmniStem — a licensed regenerative medicine and cellular therapy center in the Dominican Republic. Building its digital strategy for the AI-search era wasn't just client work; it was fourteen months spent learning, in direct practice, how AI systems actually interact with information, process it, and elaborate an answer from it. That hands-on study became the foundation of the frameworks CiteHQ runs on today — and CiteRE is where it's headed next.
AI systems don't just decide whether a brand gets found — they amplify how it's perceived once it is. Every citation carries the system's own synthesis of everything it knows about a company, good and bad. Getting found is the entry point. Whether that amplification works for a brand or against it depends on something visibility alone can't measure: how the market actually feels.
Understanding how a market feels about a brand — the hesitation, the trust, the doubt behind a query — used to take quarters of research and a fair amount of guessing. CiteRE runs today, decoding that signal in a personalized, real-time read rather than waiting for the quarter to close — and gets more precise with every engagement it learns from.
GEO is Generative Engine Optimization. AEO is Answer Engine Optimization. Resonance Engine isn't a borrowed AI-space term — it's built from the same root the whole discipline is named after, the same way "CiteRE" is built from the same construction as "CiteHQ." It belongs to this brand specifically, not to the category generally.
CiteRE is not a technical tool dressed up as a differentiator. It goes back to the oldest instinct in marketing — understanding what a person actually feels before they decide to trust something — applied to a medium that didn't exist when that instinct was first any good.
Honest status: CiteRE's Resonance Engine is functional today, and already shapes how CiteHQ scopes and evaluates every engagement. The precision and personalization layer — the deeper tuning that only comes from real engagement data — builds over time, refined by every new client relationship CiteRE learns from, the same way AI engines like ChatGPT, Claude, Perplexity, Gemini, and Copilot continuously learn.
The near-term vision: CiteRE evolves from telling clients whether AI cites them to telling them whether that citation is building trust or costing it — decoding sentiment, not just presence. Most competitors that measure sentiment stop at the report; CiteRE is built to act on it, inside a bilingual practice built for how AI actually cites brands in Houston — our initial focus market — and the model gets sharper with every engagement it learns from.
Results in progress: two documented cases are underway for this launch window — CiteHQ.io's own citation-share performance, and a second look at OmniStem's visibility since this work began. Both will be published in a dedicated results page following site launch.
Both run the same underlying methodology. The difference is depth — how many queries, how many platforms, and how much detail comes back.
A fast, automated read on whether your brand shows up at all. No platform breakdown, no competitor names, no diagnosis — deliberately light, by design.
Run your free AI Citation PulseThe full diagnostic — custom queries, every platform, full scoring, competitor mapping, and a prioritized fix list mapped to specific services.
Book the full auditThis is the process priced into every First Movers product and every retainer tier — the same six steps, every time. Five to diagnose. One to prove it worked.
Real buyer language from the discovery and comparison stages — the questions asked before someone has decided who to work with, not branded searches for a company they already know. This set is built specific to your industry, not pulled from a generic template.
Every query is tested live, fresh, across all six platforms: ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, Gemini, and Claude. Results are documented with screenshot evidence at the time of testing — not simulated, not estimated.
Each result is scored on a 0–4 scale — from absent entirely to leading cited answer. No query goes unscored, and no score is subjective: the scale is fixed, and the same criteria apply whether it's a Fortune 500 brand or a first-time client.
Individual scores rarely tell the full story on their own — the pattern does. Which query types underperform, which platforms are weakest, which sources AI systems keep citing instead of you. Gaps cluster around real causes; they don't scatter randomly.
Every identified gap is matched to the specific service that closes it — technical, content, or authority-building — so the output isn't just a diagnosis, it's a prioritized action plan tied directly to CiteHQ's service categories.
The cycle doesn't end at the fix — it closes with the same measurement that started it. Once the work is implemented, CiteHQ re-runs the identical query set against the identical platforms and rescores it on the identical scale, so the improvement isn't a description of effort. It's a documented, before-and-after citation-share number. Not a promise. A number — the same discipline behind every claim on this site.
No ambiguity, no subjective judgment call — every query lands on exactly one of five outcomes.
Illustrative examples, built from the kind of question this methodology tests — showing exactly why one answer scores low and the other scores high, and that the same 0–4 discipline applies identically in Spanish, not as a separate tier.
Same platforms. Same scale. Same discipline — native English and native Spanish, not a translated afterthought.
The largest consumer AI search surface — often the first place a buyer starts researching.
Built specifically for cited, sourced answers — the platform closest to CiteHQ's own thesis.
Sits directly inside the search engine most buyers already default to.
Embedded across the Microsoft 365 ecosystem many B2B buyers already work inside.
Google's conversational assistant, increasingly the default across Android and Workspace.
Growing fast among technical and enterprise buyers doing serious research.
Over the last 30 years, we've learned that the technological innovation that actually transforms industries doesn't depend primarily on deep technical mastery — it depends on identifying the right patterns in the market and in consumer behavior, and the ability to execute on them. It's having the full view of the forest, not just seeing the trees.
It's the same pattern recognition that took the first private operator to profitability against a state monopoly, that saw a banking platform where everyone else saw a phone company, that built distribution into neighborhoods the national carriers had written off. Knowing which parts of a technology shift are real and which are just narrative is a skill, not a credential — combined with the creativity to see an opportunity where others just see the obvious, it's the foundation this entire methodology is built on. Read the full story in "The Bigger Picture Behind CiteHQ.io."
No. Citation-share scores are determined in part by third-party AI systems outside CiteHQ's control, so specific outcomes cannot be guaranteed. CiteHQ commits to delivering the methodology, deliverables, and reporting specified in each engagement, executed to the standard described on this page.
CiteRE, the Resonance Engine, is CiteHQ.io's proprietary model for decoding audience sentiment in AI-generated answers — not just whether a brand is cited, but whether that citation builds trust or costs it.
Start free with the AI Citation Pulse, or go straight to the full AI Visibility Gap Audit evaluation.