DataInfra GEO Data Center AI Visibility Growth ServicesFree AI Visibility Diagnosis
EVIDENCE & MEASUREMENT

Measure GEO,Don't tell stories with screenshots

Generative answers vary by platform, region, time, and model. We establish reproducible conclusions through evidence-based content standards, repeated testing, and phased comparisons.

DATAINFRA / GEO
04 / OPERATING SYSTEM

DataInfra GEO Eight-Layer Growth System GEO

From one-off content projects to observable, reviewable, and continuously accumulating AI visibility infrastructure.

01
LAYER01 / See the current state

AI Visibility Baseline

Sample test brand mentions, citations, and competitor gaps around high-value buyer questions.

DELIVERABLES
  • Buyer prompt test set
  • Competitor citation gap
  • Brand entity score
EVIDENCE-GRADE CONTENT

High-standard content, not proving professionalism by length

A piece of content enters the publication and delivery phase only if it withstands factual verification, engineering judgment, buyer review, and AI extraction simultaneously.

01Define Problems and Intent
02Retrieve Enterprise Knowledge
03Assemble Internal and External Evidence
04Generate and compare candidates
05Item-by-Item Verification and Final Review

"With evidence" does not mean piling up citations.

Citations must genuinely support the body text, clearly distinguish between company self-statements and industry consensus, and include applicable conditions for product parameters. We examine the complete argumentation chain, not just surface formatting.

01

Factual Support

Can parameters, standards, certifications, and citations support the conclusions?

02

Problem Adaptation

Does it answer the questions that procurement, engineering, and management truly care about?

03

Engineering Depth

Does it explain boundaries, selection basis, risks, and failure modes?

04

Extractable Structure

Are definitions, conclusions, steps, tables, and FAQs clear?

05

Business Relevance

Does it naturally connect real product capabilities with application scenarios?

06

Reading Efficiency

Are the hierarchy, paragraphs, charts, and information density reasonable?

07

Language Texture

Whether to reduce empty talk, template feel, and stiff marketing

08

Content Differences

Does it provide unique evidence and avoid repetition in the same batch of content?

MEASUREMENT FRAMEWORK

From discoverability to business results

Distinguish between citation and mention, and between discoverability and conversion.

01

Discoverability

Is the URL indexed? Can search engines and AI crawlers access it?

02

Citation

What questions trigger citations? Which URLs are cited?

03

Brand Mention

Is the brand mentioned? Is the product association correct?

04

Prominence

Is the brand mentioned in the first set of recommendations or in the periphery?

05

Competitive Share

What are the competitor mention rates, citation overlaps, and topic coverage?

06

Business Outcome

Does AI drive referrals, form submissions, and qualified business opportunities?

TESTING RULES

Let the testing itself
Also withstands review.

The downloadable file includes 30 high-value commercial prompts in Chinese and English, as well as fields for platform, market, test date, brand mentions, website citations, description accuracy, and competitor records.

Download 30 baseline prompts CSV
Repeated Testing of the Same Question
Use multiple natural language rewrites
Covers multiple platforms and different query types
Save Date and Model Environment
Do not conclude based on a single answer
Correlate referral, inquiry, and pipeline
START WITH A PUBLIC-SIGNAL AUDIT

When customers look to AI for infrastructure suppliers,
Who do you want it to mention?

Your technical capabilities already exist. Our job is to make them exist in a way that is easier for search engines and AI to understand, retrieve, and cite.

Free assessment of my AI visibility
No backend account requiredPublic Information DiagnosisUp to 3–5 competitors can be specified
Assess My Brand