Method

How NuGEO tests a brand

NuGEO combines a recorded evidence trail, proprietary frontier AI inference, and human review. Every report saves enough of the test to support a later comparison.

Start with the decisions people make

The account owner names the primary outcome and can add private strategy context before the work begins. The question set then comes from the company, its category, the alternatives a buyer may consider, and the objections that can stop a purchase. Brand-name prompts alone miss most of that ground.

The set is bounded and saved with the report. Adding or removing questions creates a new version rather than quietly changing the baseline.

Keep every answer

Selected AI services receive the same questions. NuGEO records the full response, whether the company appears, which alternatives appear beside it, and which pages are cited.

The report shows disagreement between services. It does not turn several different answers into one fictional rank.

See how NuGEO published one dated baseline and acceptance test

Trace the sources

A mention is more useful when the reader can see what supports it. NuGEO follows cited pages and checks the company’s own public site for the facts, structure, authorship, dates, and entity signals behind the answer.

When a claim has no reliable source, the report says so. When two sources conflict, the conflict belongs in the finding.

Keep the analysis proprietary, not the proof

NuGEO uses proprietary prompts, scoring, synthesis, and quality checks to reconcile a large evidence set and rank the work. Those internal systems are not published.

The customer-facing proof remains inspectable: saved questions, full answers, citations, source observations, dates, limitations, and acceptance checks. Customers can review why a recommendation exists without exposing NuGEO's internal analysis system.

Turn findings into implementation work

The customer receives a report suite for review and a separate repository-ready brief for coding agents and development teams. Each task points back to supporting data and carries an acceptance check, validation step, rollback note, and any approval boundary.

After a change ships, a focused check can reopen the saved scope and rerun the affected part of the baseline. Unrelated questions do not need another full report.

What the report cannot tell you

  • It cannot see private user conversations.
  • It cannot promise that an AI service will mention, cite, or recommend a company.
  • It cannot turn one sampled answer into a permanent ranking.
  • It cannot make an unsupported claim credible through markup or repetition.

The report is a dated measurement of public information and sampled answers. Its limits travel with the result.

See what the Foundation covers.

The first report applies this method across the company, category, competitors, sources, and public site.

Read about the Foundation

Private release

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