The questions your buyers actually ask, and the entities you must be known for

They answer two different questions. The Surface Intelligence Audit reads where you stand right now, whether you are indexed, where you rank, and whether you are cited in AI answers, and returns a ranked fix list. This research looks outward instead of inward: it maps what buyers ask and the entities you must be known for, establishing what to answer and what to be known for in the first place. Many clients run the research first to set the target, then the audit to read their starting position, and both feed the wider Search Surface Optimization program.

We use volume as one input among several: a moving third-party estimate. Industry analysis has found that the large majority of keywords get very few searches, so a volume-first list buries the long-tail questions where real intent lives. Where we cite a volume figure, we name its source and date and show it as an estimate with a range. Priorities are set on business value, intent, and buying stage together with volume, weighted toward the question you know closes business.

Raveneye Global, operated by RavenGroup Global Tech Private Limited, bills in USD and serves US businesses. Every engagement is directed by a technical specialist and reviewed before delivery. We harvest your buyer questions from US search surfaces and US AI engines, build the entity work to your real US market, and stamp the frozen panel with your exact locale. What you are buying is an engineering standard and a research artifact aimed at your actual buyers, not a time zone.

A technical specialist directs the interview, reads your market, judges intent, structures the map, and reviews every deliverable before it reaches you. The tooling makes the harvest faster and wider, but it does not decide what matters for your business. A person who understands your market makes the judgment calls, which questions carry intent, which entities are true and verifiable about your business, what to prioritize and why. Every engagement is directed by a technical specialist and reviewed before delivery.

Because it is directed and reviewed by a technical specialist with years of hands-on work in search and AI visibility, and the research is documented and sourced rather than asserted. Every buyer question traces to where it was harvested, every entity is one that is true and verifiable about your business, and every priority shows the basis it was ranked on, so you can check the working line by line. The research is built to the published Raveneye method, and where we cite external evidence, we name the source and its date so you can weigh it independently.

Because the research depth depends on your business. A single-location practice with one core service needs a fraction of the work of a multi-location firm with five service lines, and publishing one price would either overcharge the simple case or under-deliver the complex one. We publish the deliverables up front, discuss your services and locations, then agree the figure directly. Scope comes before numbers.

We guarantee a documented, sourced, specialist-reviewed map of your real buyer questions and the entities you must be known for, with priorities you can inspect. We do not promise rankings, AI citations, or traffic; this research does not produce them, it produces the foundation they are later built on.

It belongs to you, and it is built to be used. The topic architecture hands straight into content production, the entity map becomes the target for later schema and entity work, and the frozen buyer-question panel becomes the exact set Share-of-Answer is measured against inside a Search Surface Optimization program. That continuity is the point: the thing researched and the thing later measured are one artifact, so nothing has to be guessed or redone downstream.