Growth target and baseline
Lock in priority products, target markets, purchasing roles, and AI decision issues to influence.
Professional team dey handle strategy, research, production, review and promotion; digital platform dey handle knowledge deposit, task collaboration, quality trace and stage delivery.
From target, evidence and question graph, to content landing and phased review, execute by enterprise basic combination, no sell standard article package.
Lock in priority products, target markets, purchasing roles, and AI decision issues to influence.
Arrange parameters, certifications, tests, cases, brochures and engineer experience, mark available boundaries.
Cover technical knowledge, design selection, comparison verification, risk check and vendor selection.
Research, write, illustrate, and review technical guides, product explanation pages, comparison pages, case studies, and FAQs.
Synchronize processing of key HTML, internal links, Schema, search foundation, and external content archiving.
Review output, official website correction, channel distribution, stage AI performance and effective inquiry.
DataInfra GEO is a professional operational service, not a self-service software seat, nor is it sold by fixed article count.
Investment depends on target market and language, number of priority products, available evidence, website foundation, content depth, and publication synergy scope. First public information diagnosis is free; formal co-building is quoted separately after scope confirmation, with no hidden auto-renewal.
Submit scope informationIt organizes work that easily gets scattered in meetings, chats, and folders, allowing enterprises to see where facts come from, what stage content reaches, and what is left in each round.
Compile main subjects, products, capabilities, markets, and quotable original texts from official websites and materials.
Receive PDF, Word, PPT, Excel, and image materials, form a searchable project fact base.
Place topic selection, research, writing, review, finalization, download, and channel destination in the same process.
Check facts, evidence, engineering depth, structure and language one by one, content wey no meet standard go continue to revise.
Sample key pages, check SEO/GEO, Crawler, performance, Schema and B2B conversion link.
Isolate materials by project, record task status, final drafts, exceptions, and phase deliverables.
For every stage, there are inputs, responsible persons, and verifiable outputs; after one cycle is completed, the evidence and content do not reset to zero, but become the foundation for the next round.
Confirm priority products, regional markets, procurement roles and problems to influence for this stage.
Verify website discoverability, AI understanding, B2B trust evidence, and inquiry continuation links.
Structure information scattered in brochures, parameter sheets, certifications, cases, and expert experience.
Complete research, evidence assembly, multi-round generation, review, and finalization starting from buyer questions.
Arrange implementation according to official website and external channels, record pages, versions, statuses, and content destinations.
Combine website rectification, output rhythm, AI sample re-test and lead feedback adjust next round.
This is a reference path. Actual cycles and deliverables will be adjusted based on the foundation of information, website status, industry difficulty, and target market.
Align priority product, market and buyer question, complete website and public AI signal scan.
Determine enterprise factual boundaries, establish a project knowledge base, evidence structure, and initial problem map.
Continuously research, quality check, finalize around core problems, and coordinate with official website and channels for release.
Review website rectification, content distribution, AI sample performance and lead feedback, calibrate next round.
Is the target still correct?Changes in products, customers, and markets
External facts fit trust?Are parameters, certifications, and case studies confirmed?
Is the asset continuously accumulating?Content, rectification, publication, and review forward?
Below na simulation diagnostic structure, no fake customer data and result.
View full measurement methodAI knows the company name, but cannot identify core product differences
“CDU manufacturer” problem dey covered by competitor quotes
Parameters dey inside PDF, no get searchable explanation HTML
Missing topic cluster for 100kW rack / coolant compatibility
First answer scope, result and limit, then decide if enter diagnosis.
SEO primarily enhances web page discoverability and ranking in traditional search; GEO also focuses on whether brands or pages can be retrieved, cited, and accurately described in generative answers. They are not substitutes; solid crawl, index, content, and authority signals are still the foundation for GEO.
No. Generative answers change with platform, region, time, retrieval results, and model. We are responsible for execution quality, fact-checking, and measurement processes, but do not promise fixed rankings, citations, mentions, or order volumes.
First, establish baselines for technical, search, AI visibility, and inquiries, then re-test at 30/60/90 day intervals. Crawl fixes may be discovered relatively quickly, while topic authority, third-party signals, and effective inquiries usually require longer periods, depending on the website's foundation and competitiveness.
Not necessarily. Prioritize reusing existing high-quality pages and stable URLs, fixing original HTML, page intent, evidence, entity, and internal link gaps. Only when the existing technical architecture cannot reliably output public content is a large-scale reconstruction needed.
Yes, but it requires independent research by target country, language, terminology, competitors, regulations, and third-party trusted sources; direct machine translation of Chinese content for bulk release is not recommended.
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 visibility