Factual Support
Can parameters, standards, certifications, and citations support the conclusion?
EVIDENCE & MEASUREMENT
Measure GEO,No tell story with screenshot
Generative answers vary with 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
Upgrade from one-off content projects to an observable, reviewable, and continuously accumulating AI visibility infrastructure.
01
LAYER01 / See the current situationAI 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, no use volume to prove professional
Content is only released and delivered after it can withstand factual verification, engineering judgment, buyer review, and AI extraction.
01Define problem and intent
02Retrieve enterprise knowledge
03Assemble internal and external evidence
04Generate and compare candidates
05Check one by one and final review
"With evidence" does not mean piling up citations.
Citations must genuinely support the text, clearly distinguish between enterprise self-statements and industry consensus, and product parameters must include applicable conditions. We check the complete argumentation chain, not just the surface format.
Problem Adaptation
E dey answer question wey customer, engineer and manager really dey care about?
Engineering depth
Explain boundary, selection basis, risk and failure mode?
Extractable structure
Are definitions, conclusions, steps, tables, and FAQs clear?
Business Relevance
Naturally connect real product capability and application scenario?
Reading efficiency
Is the hierarchy, paragraph, chart and information density reasonable?
Language texture
Whether to reduce empty talk, template feel and stiff marketing
Content difference
Does it provide unique evidence and avoid repetition of content within the same batch?
MEASUREMENT FRAMEWORK
From discoverability to business results
Distinguish citation from mention, and distinguish discoverability from conversion.
Discoverability
Is the URL indexed? Can search engines and AI crawlers access it?
Citation
Which questions trigger citation? Which URLs are cited?
Brand Mention
Is the brand mentioned? Is the product association correct?
Prominence
Is the brand mentioned in the first recommendation, or peripherally?
Competitive Share
How are competitor mentions, citation overlaps, and topic coverage?
Business Outcome
Did AI referrals, form submissions, and qualified business opportunities increase?
TESTING RULESMake the test itself
Make the test itself
Can also withstand review.
Download file get 30 high commercial value Chinese and English prompt words, plus platform, market, test date, brand mention, official website citation, description accuracy and competitor record fields.
Download 30 prompt baseline CSVSame question repeat test
Use multiple natural language rewrites
Cover many platform and different query type
Save date and model environment
Do not conclude based on a single answer
Associate referral, inquiry and pipeline
START WITH A PUBLIC-SIGNAL AUDIT
When customers look for infrastructure suppliers from AI,
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 evaluate my AI visibilityNo backend account neededPublic information diagnosisCan specify 3–5 competitors