AI SEARCH VISIBILITY · GEO

Be present when customers ask AI

We monitor brand appearance, citations and competitive visibility with repeatable question samples, then optimize, publish and retest against the gaps revealed by sources and content. GEO is more than a website update or bulk article production.

GEO improves and maintains information for AI search

Generative Engine Optimization (GEO) focuses on whether AI search can accurately discover, understand and cite company information. The service combines question monitoring, source analysis, content improvement, channel publishing and repeated testing to improve information quality and visibility in AI answers. The website and Search Engine Optimization (SEO) are foundational parts of this work.

BUSINESS QUESTIONS

Five questions the business should answer

Establish a defensible baseline before choosing priorities; content volume is not a visibility result.

01

Does AI mention us?

Record brand appearance, position, context and answer accuracy across agreed prompts and platforms.

02

Why are competitors cited?

Compare mention share, content coverage and cited sources to identify the gap.

03

What content is missing?

Infer gaps in official pages, cases, FAQs, white papers and industry answers from AI outputs and sources.

04

Where should we publish?

Plan the right mix of the official site, industry media and content platforms around source weight and customer touchpoints.

05

Did publishing make a difference?

Retest the same question sample and track changes in mentions, citations and competitive visibility.

CHINA AI PLATFORMS

GEO strategy for Doubao, DeepSeek and Tencent Yuanbao

Domestic AI products all move from understanding a question to retrieving knowledge and composing an answer, but their entry points, available sources and answer formats differ. Professional GEO uses observable evidence and platform-specific testing instead of guessing private ranking algorithms.

Diagram of enterprise knowledge assets flowing through multiple AI platforms into traceable answers and a recurring GEO measurement loop.
A verifiable loop from enterprise facts to AI answersStructure verified facts into official pages, cases, FAQs and authoritative materials; observe how each platform mentions and cites them; then retest the same question matrix and iterate.

Shared foundations across platforms

01

Entity consistency

Keep company names, brands, products, regions, credentials and contact details consistent across sources.

02

Answer units

Structure definitions, conclusions, conditions, steps, evidence and update dates around real decision questions.

03

Verifiable evidence

Support claims with official fact pages, cases, credentials, transparent data definitions and authoritative third-party sources.

04

Platform retesting

Fix the prompt, mode, timing and account conditions; measure mentions, citations, accuracy and competitor change over time.

DOUBAO

Doubao

Public capability basis

Doubao states that its results may combine pre-trained knowledge with web-search content across conversational and search experiences.

Optimization direction

Prioritize natural-language question coverage, clear entity relationships and decision-oriented explainers, while keeping facts consistent between the official site and public content platforms.

Validation logic

Test brand, category, scenario and comparison prompts; record mentions, factual accuracy, traceable sources and answer stability across runs.

Doubao official disclosure
DEEPSEEK

DeepSeek

Public capability basis

DeepSeek states that its web-search mode retrieves public internet information before generating an answer from the retrieved material.

Optimization direction

Strengthen publicly accessible in-depth material: definitions, technical explanations, cases, limitations, FAQs and citations. Complex topics need both clear facts and a complete reasoning trail.

Validation logic

Record standard, web-search and deep-thinking scenarios separately; compare cited pages, completeness, factual errors and why competitors enter the answer.

DeepSeek official terms
TENCENT YUANBAO

Tencent Yuanbao

Public capability basis

Tencent Cloud describes Yuanbao search as combining public web pages with sources from the Tencent content ecosystem.

Optimization direction

Alongside authoritative official pages, assess WeChat and Tencent-ecosystem formats; connect topic pages, in-depth posts, cases and Q&A into a corroborating source network.

Validation logic

Observe both public-web and Tencent-ecosystem sources, segment timely, brand and local-service prompts, and verify that citations resolve to accurate current facts.

Tencent Cloud official description

Platform features, entry points and source coverage change over time. This strategy uses current public documentation and observable results; it is not an official ranking specification or a guarantee of recommendation.

SERVICE LOOP

A complete loop from answer collection to growth retesting

The engagement follows collect, analyze, optimize, publish and retest, with a clear output and next action at every stage.

01

Project definition

Define industry, region, brand, competitors, keywords and target AI platforms.

02

Question matrix

Turn seed, brand and competitor terms plus customer scenarios into repeatable prompts.

03

AI answer collection

Collect answers, brand appearances and sources within agreed platforms and time windows.

04

Brand and competitor analysis

Compare mentions, relative position, context, answer tendency and visibility share.

05

Source-weight analysis

Identify valuable official, media, Q&A, case and white-paper sources.

06

Content-gap diagnosis

Find missing facts, question coverage, evidence and channel presence.

07

Content-matrix optimization

Develop official pages, FAQs, cases, industry answers and channel-specific assets.

08

Publishing coordination

Manage channel, format, timing and ownership; automation depends on platform rules and project conditions.

09

AI retest and reporting

Retest the same matrix and produce trends, conclusions and the next action cycle.

GEO VIDEO EXPLAINER · 01:17

From searching pages to asking AIUnderstand GEO in 77 seconds

This Chinese-language explainer shows how information discovery is changing and why credible brand facts, expert content and sources need to enter AI answer ecosystems.

GEO explainer01:17 · 720P · H.264
01

Discovery behavior is changing

Customers increasingly ask AI about products, services, locations and solutions.

02

Competition shifts to AI visibility

A business must be accurately understood, mentioned and cited—not merely indexed.

03

Continuous operations create evidence

Monitoring, source analysis, content work, publishing coordination and retesting form a measurable loop.

The video explains the service approach; it does not promise a fixed ranking, recommendation or citation.

GEO ENTERPRISE PLATFORM

One enterprise GEO service platform

The platform organizes project management, AI-source analysis, content optimization, matrix publishing and monitoring reports. The screens below demonstrate platform capabilities; all projects, people and metrics shown are sample data, not client results.

DELIVERABLES

Standard deliverables

Delivery focuses on reproducible evidence and prioritized actions, not guaranteed rankings.

01

GEO diagnostic report

Document the prompt set, platform baseline, brand appearance, answer accuracy and primary gaps.

02

AI citation-source map

Map recurring sources, source types, weight signals and opportunities for credible placement.

03

Competitor benchmark

Compare question coverage, mentions, sources and content assets against priority competitors.

04

Content optimization backlog

Prioritize official pages, FAQs, cases, white papers, answers and channel-specific work.

05

Continuous monitoring report

Retest the matrix on an agreed cadence and record trends, completed actions and the next plan.

PROFESSIONAL DELIVERY

A professional service model throughout the project

Clear ownership, stage reviews and repeatable evidence keep the work aligned from initial calibration through recurring review.

01

Dedicated advisor and project baseline

A GEO advisor leads kickoff and aligns business goals, target platforms, the question matrix, competitor sample, measurement definitions and responsibilities.

02

Stage reviews and transparent coordination

Each diagnostic, optimization, publishing and retesting milestone produces explicit outputs and actions, with regular communication on progress, risks and facts requiring confirmation.

03

Data retesting and expert review

The agreed question matrix is monitored consistently; source, competitor and execution data inform each review and the priorities for the next cycle.

MEASUREMENT

How outcomes are measured

Lock the platforms, prompt sample and time window first, then compare changes instead of relying on a single non-repeatable answer.

AI brand appearance

Appearance rate, relative position and context across the agreed prompt sample.

Citation sources

Number and type of cited sites, pages and newly observed high-value sources.

Competitive share

Relative visibility against priority competitors within the same question set.

Answer quality

Accuracy and sentiment around the company, services, products, region and facts.

Content execution

Coverage, publishing status, channel coordination and remaining gaps.

Cycle trend

Change across repeated tests of the same matrix, not a one-off screenshot.

RESPONSIBLE GEO

Service boundary and compliance

AI platforms independently control indexing, generation and recommendations, so no provider can guarantee a fixed position, specified recommendation or inevitable citation. We improve the probability of accurate understanding, citation and recommendation through a measurable, optimizable and repeatable process. Collection, generation and publishing follow applicable law, platform terms, copyright requirements and human review.

Request a GEO visibility audit

FAQ

GEO service questions

What are GEO and SEO?

Search Engine Optimization (SEO) improves how a website is crawled, indexed and presented in traditional search. Generative Engine Optimization (GEO) improves the visibility, accuracy and citability of company information in AI search and generated answers. Both rely on clear site structure, factual content and reliable sources and should work together.

Which organizations are a good fit?

Organizations with a website, service or product information, cases, FAQs, white papers or other knowledge assets—and a need for brand trust or qualified demand—are a good fit. B2B, professional, regional and multi-product businesses benefit from a baseline audit.

What should we prepare?

Prepare the website, brand and service information, cases, FAQs, target regions, competitors, existing channels and publicly usable evidence. If assets are limited, the engagement can start with interviews and a public-information inventory.

How long does change take?

Depending on competition, platform crawl cycles, existing content and execution speed, basic changes may become observable in one to three months, while three to six months is more suitable for evaluating a stable trend. This is planning guidance, not a guarantee.

Can you guarantee an AI recommendation or top-three position?

No. AI answers are dynamic and recommendation logic belongs to each platform. We commit to the agreed monitoring, analysis, optimization, publishing coordination and retesting deliverables—not a fixed ranking.

Is publishing a large volume of AI articles enough?

No. Bulk content without source analysis, fact checks, question coverage and retesting can create repetitive or inaccurate information. The source structure and content gap should guide a targeted content matrix.

Which AI platforms can be monitored?

Target platforms are agreed according to audience, region, access, interface conditions and terms. They may include major Chinese and international AI search or assistant platforms. Scope and automation are defined in the proposal; we do not imply that every platform is automatically integrated.