Operator-level definitions for the concepts markets are now found, compared and recommended through in AI — with empirical anchors, not marketing speak.
More than half of B2B buyers now start vendor research with an AI — and one in three deals goes to a brand they had no awareness of before the AI named it. The shortlist is being written before your website ever loads.
Read article →AI Overviews and AI Mode are two distinct Google surfaces: AI Overviews summarise above the classic results; AI Mode is a separate conversational search. They reach similar conclusions but cite largely different sources — so they must be measured separately.
Read entry →Attribution is the discipline of estimating how marketing contacts, channels, and interventions contribute to commercial outcomes such as pipeline, qualified leads, and revenue.
Read entry →Brand Recommendation Share is a Rhinegold-defined metric that measures the share of an LLM's recommendation attention a brand holds — weighted by the number of competitors named alongside it in the same answer.
Read entry →Citation Rate is the share of AI answers that cite the brand as a source — with a link or named reference backing the answer — not merely mention it in passing.
Read entry →A discovery prompt is a question that asks an AI for options or recommendations — "best X for Y", "which providers do Z" — the prompt class where brands compete to be named.
Read entry →Generative Engine Optimization (GEO) is the practice of improving how a brand is surfaced, cited, and recommended inside AI-generated answers — not in the ten blue links.
Read entry →Grounding is the mechanism by which an LLM retrieves external sources at answer time and conditions its response on them — the plumbing behind citations, not the citation itself.
Read entry →Lead scoring is a systematic method for prioritizing incoming leads by proximity to a purchase decision. Its failure mode is almost never the algorithm — it's the quality of the firmographic data the algorithm is fed.
Read entry →Hallucination is when an AI generates factually incorrect content presented as true. For brands, this means AI assistants can state wrong facts about products, pricing, personnel, or capabilities — with no correction mechanism inside the response. A brand with high visibility but high hallucination rate is being introduced incorrectly at the most influential moment in the buyer journey.
Read entry →An MQL is a lead the marketing team has determined is qualified enough to pass to sales. The reliability of that signal depends directly on the quality of the data the scoring system operates on.
Read entry →Mention Rate is the share of AI answers in which a brand is named in the answer text, measured across a fixed prompt set.
Read entry →Platform divergence is the empirically observed difference in which brands are mentioned and cited across AI platforms — ChatGPT, Gemini, Perplexity, Copilot — for the same query. A brand can be prominently visible on one platform and absent from another. Single-platform measurement does not represent a brand's AI visibility; each platform must be tracked independently.
Read entry →Rhinegold uses Semantic Intelligence as a framework for measuring what markets actually hear, recommend, and decide inside language-based systems — and for connecting that signal to commercial steering.
Read entry →An SQL is a lead the sales team has determined is ready for direct outreach. The MQL-to-SQL handoff rate is the sharpest diagnostic signal for the scoring system upstream.
Read entry →Share of Voice (SoV) in AI answers is a brand's mentions expressed as a share of all mentions across a defined competitor set and prompt set.
Read entry →A touchpoint is any interaction between a potential customer and a company — from the first ad impression to a sales call. In B2B, the path from first contact to a committed decision runs through a sequence of these interactions, and each one leaves a trace.
Read entry →A zero-click search is a query that ends without the user clicking through to a website — the answer is delivered directly on the results page. AI Overviews and conversational AI have extended this dynamic far beyond classic Featured Snippets. For brands, the question is not only how many clicks fell off, but what the brand says at the moment the answer is served.
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