Question 1

What is GEO (Generative Engine Optimization)?

Accepted Answer

GEO stands for Generative Engine Optimization. It is the practice of optimizing your brand's visibility and accuracy in AI-generated answers. Unlike traditional SEO which targets ranked links, GEO focuses on ensuring that when users ask AI platforms questions about your category, your brand is mentioned, accurately described, and cited from credible sources. The core goal is not to control what AI says, but to ensure your brand's facts, content, and evidence are structured so AI can understand and reference them correctly.

Question 2

How is GEO different from traditional SEO?

Accepted Answer

Traditional SEO focuses on ranking in a list of search results. GEO focuses on being included in the synthesized answer that an AI model generates — often the only answer a user sees. GEO requires a different approach: instead of keyword density and backlink volume, it prioritizes factual accuracy, structured evidence chains, clear entity definitions, and content that directly answers the questions users actually ask AI platforms. Strong SEO signals still support GEO, but GEO requires additional work around brand entity clarity, citation-worthy content, and platform-specific sampling.

Question 3

What GEO metrics actually matter, and which ones are misleading?

Accepted Answer

The most reliable front-end metrics are: Brand Visibility Rate (how often your brand appears in valid samples), Top-3 Probability (how often your brand ranks in the top 3 in ordered answers), First-Mention Probability (how often your brand is mentioned first in unordered answers), Valid Citation Rate (how often cited sources actually support the key claims), and Fact Error Rate (how often AI answers contain significant factual errors about your brand). Metrics like 'sentiment positivity' or 'semantic consistency' are often pseudo-quantified — they lack clear sample definitions, annotation rules, and consistency checks. Back-end metrics like leads and conversions cannot be directly attributed to GEO without controlled experiment design.

Question 4

What should a GEO monthly report include?

Accepted Answer

A complete GEO monthly report should include nine sections: (1) Monthly overview — platform scope, question count, sampling frequency, and core metric changes; (2) Platform comparison — performance differences across Doubao, DeepSeek, Kimi, Yuanbao, and Qianwen; (3) Scenario comparison — performance across brand, category, procurement, competitor, risk, and post-sales questions; (4) Competitor comparison — mention rate, citation rate, position, and reasoning vs. key competitors; (5) Citation sources — breakdown of owned domains, third-party authority, media, community, and encyclopedia sources; (6) Factual errors and risks — issues found this month, severity, and resolution status; (7) Content and technical actions — completed, in-progress, and pending client confirmation; (8) Back-end observations — search traffic, brand keywords, inquiries, downloads, leads, and sales feedback; (9) Next month plan — priority questions, key pages, resource needs, and risk flags. The value of a monthly report is turning data into decisions, not stacking numbers into a document.

Question 5

What should a monthly GEO review meeting cover?

Accepted Answer

Monthly GEO reviews should report across three dimensions: platform, scenario, and competitor. Every conclusion must trace back to samples, citation sources, and action records. Specifically flag: factual errors that appeared this month, compliance risks, platform volatility events, incomplete action items, and priority actions for next month. A professional GEO review meeting has six components: (1) Data review — metric changes, sample evidence, source structure; (2) Action review — completed vs. planned, reasons for incomplete items; (3) Risk review — new errors, compliance events, vendor quality issues; (4) Competitor review — changes in competitor mentions, citations, and source structure; (5) Decision session — next month's priorities, resource allocation, client confirmation items; (6) Record — meeting minutes, action table, next review date. Avoid meetings that only show charts without samples, or that attribute all metric changes to the vendor's work.

Question 6

What should a GEO monitoring dashboard include?

Accepted Answer

A GEO monitoring dashboard should contain six screens: (1) Overview screen — brand visibility rate, Top-3 probability, first-mention probability, valid citation rate, and fact error rate across all platforms and question clusters; (2) Platform breakdown screen — metric comparison across Doubao, DeepSeek, Kimi, Yuanbao, and Qianwen, with entry point and network state noted; (3) Question cluster screen — performance breakdown by brand, category, competitor, risk, and scenario question types; (4) Citation source screen — source structure breakdown by owned domain, third-party authority, media, community, and encyclopedia; (5) Competitor screen — side-by-side comparison of your brand vs. key competitors across all core metrics; (6) Action tracking screen — content and technical actions, completion status, responsible party, and expected re-test date. The dashboard should be exportable by the client, with data ownership clearly specified in the contract.

Question 7

How should we write content to perform better in AI answers?

Accepted Answer

Write facts before opinions. Write definitions before advantages. Write applicable scope before recommendations. Write evidence before conclusions. Write limitations before marketing language. Use clear headings, lists, FAQ formats, and structured summaries. Avoid keyword stuffing, absolute claims, unsourced data, and fake third-party endorsements. Organize content around user questions. FAQ pages should be short, precise, and quotable. Case study pages should clearly state client background, problem, solution, results, and authorization scope. Comparison pages should include category comparisons, solution comparisons, and selection guides.

Question 8

What is the GEO content rewrite method?

Accepted Answer

GEO content rewriting focuses on converting marketing copy into searchable, understandable, and citable factual assets. The core method is 'One Question, One Page, One Evidence': 'One Question' means organizing content around questions users actually ask; 'One Page' means having a publicly accessible, topically clear page to answer each question — this can be a product page, solution page, FAQ, white paper summary, help center, developer docs, case page, or compliance statement; 'One Evidence' means every key conclusion on the page must be supported by facts — from product features, authorized client cases, certifications, technical docs, public standards, industry reports, or regulatory documents. Adjectives without evidence rarely sustain credible AI answers long-term. Companies should prioritize the top 20 high-value questions and apply the One Question, One Page, One Evidence method to each.

Question 9

How should a company build authority sources for GEO in phases?

Accepted Answer

Authority sources for GEO fall into three categories: owned sources (official website, product documentation, help center, developer docs, white papers, case studies, compliance statements), earned sources (media coverage, academic citations, industry report mentions, community discussions, third-party reviews), and structured sources (Wikipedia entries, Wikidata, Crunchbase, LinkedIn, industry directories). A phased approach: Month 1 — audit and fix owned sources, ensuring core product pages, FAQ, and case pages are accurate, structured, and crawlable; Month 2 — identify gaps in earned sources, prioritize 3–5 high-authority third-party publications, and ensure brand entity consistency across platforms; Month 3 — build structured source presence, verify brand entity data on Wikipedia, Wikidata, and Crunchbase, and establish a citation monitoring process. Do not skip owned source cleanup before investing in earned sources — AI models weight source credibility and consistency, not just volume.

Question 10

What should a company's internal GEO playbook include?

Accepted Answer

A GEO internal playbook should have at least seven sections: (1) Question library management — rules for adding, removing, grouping, and freezing questions; each statistical cycle's question library should have a version number and versions cannot be mixed; (2) Brand fact table — maintaining brand name, product names, credentials, client cases, pricing boundaries, service scope, and prohibited claims; all GEO content must reference the fact table; (3) Sampling rules — specifying platform, entry point, sampling time, frequency, network state, multi-turn or single-turn, and context clearing; (4) Review rules — high-sensitivity content, major errors, and client cases must go through manual review; (5) Content publication rules — the full workflow from writing, editing, legal confirmation, publication, logging, to re-testing; (6) Dashboard rules — specifying fields, export frequency, permissions, data retention, and exit handover; (7) Review rules — monthly reviews must answer four questions: which metrics changed, why they changed, what actions were taken, and what to prioritize next.

Question 11

What are the red lines when evaluating a GEO vendor?

Accepted Answer

Stop the evaluation or ask for clarification if a vendor: promises a fixed Top-1 ranking across all platforms; refuses to provide sampling methodology and raw samples; packages subjective judgments as precise objective scores; directly attributes back-end lead growth to GEO without experimental design; encourages fabricating client cases, rankings, or third-party reviews; conflates API, App, web, and search-augmented entry points; does not distinguish between domestic and overseas GEO; refuses to include data ownership and exit handover clauses; lacks a compliance process for sensitive industries; or equates GEO entirely with press releases and SEO keywords.

Question 12

How to select the right GEO vendor type based on company situation?

Accepted Answer

Match vendor type to company situation: No baseline data — buy a diagnostic and POC first, do not sign a full-year high-cost execution contract; Messy website content — choose a vendor strong in content and entity governance, not one selling only monitoring dashboards; Obvious technical issues — choose a vendor with strong technical SEO and data engineering, not one focused only on PR and soft content; Weak brand narrative — choose a vendor with content marketing and industry consulting strength, not one focused only on crawling and reporting; High-sensitivity industry — choose a vendor with compliance and expert review processes, not a low-cost execution team without approval workflows; Clear overseas expansion needs — choose a vendor strong in cross-border growth and localization, not one only familiar with domestic platforms; Limited budget — choose a small-scope POC and high-value page optimization, not a full-platform dashboard plus large content package; Complex organization — choose a vendor with strong project management and cross-department coordination capabilities.

Question 13

How should a company conduct due diligence when selecting a GEO vendor?

Accepted Answer

Due diligence for GEO vendor selection has two dimensions. First, internal self-check: Is your website, official accounts, product docs, and case pages self-consistent? Do you know which pages are crawlable, indexable, and citable? Do you have client case authorization, personal data handling, and sensitive content approval processes? Have you prepared an internal point of contact and publication permissions for the POC? Are you prepared to interpret back-end metrics cautiously? Are you ready to include data ownership, deliverables, prohibited behaviors, and exit terms in the contract? Second, vendor due diligence checklist: Can they provide platform-level sampling methodology and raw samples? Can they explain differences across Doubao, DeepSeek, Kimi, Yuanbao, and Qianwen? Can they break metrics down into mention rate, citation rate, accuracy, competitor co-occurrence, source quality, and volatility? Do they have content, technical, data, project management, and compliance capabilities? Do they have industry experience and can explain how they handle sensitive content? Are they willing to specify deliverables and acceptance criteria in the contract? Can they explain pricing breakdown and third-party costs? Can they deliver a complete data and asset handover upon exit?

Question 14

What should a company prepare before issuing a GEO RFP?

Accepted Answer

Many GEO procurement failures happen because companies provide too little input to vendors, resulting in only generic recommendations. Before issuing an RFP, prepare a briefing package including: company overview, product fact table, primary customer types, publicly shareable cases, competitor list, target platforms, target markets, website and content asset inventory, historical SEO or brand monitoring reports, common sales questions, compliance boundaries, budget range, expected timeline, and internal contact. The package does not mean sharing all internal information. Companies should tier information: public materials can be fully shared, internal materials can be summarized, sensitive materials should only share publicly available statements, and client cases must confirm authorization. If a vendor requests large amounts of unauthorized client information or undisclosed commercial data, trigger a compliance review.

Question 15

What should a GEO POC (proof of concept) look like?

Accepted Answer

A proper GEO POC should cover: a question library with at least 50–100 questions across brand, category, competitor, risk, and scenario dimensions; baseline sampling across target platforms (Doubao, DeepSeek, Kimi, Yuanbao, Qianwen) with 3+ samples per question per platform; a baseline report with defined metrics; content actions (fact pages, FAQ pages, case pages); a re-test after 60–90 days; and a POC review meeting with scored evaluation across method completeness, metric changes, content assets, risk control, and collaboration quality. The POC should produce reusable assets: a fact table, FAQ content, a prohibited-claims library, and an upload record.

Question 16

What to watch when sampling on Chinese AI platforms (Doubao, DeepSeek, Kimi, Yuanbao, Qianwen)?

Accepted Answer

When sampling Doubao, DeepSeek, Kimi, Yuanbao, and Qianwen, break down 'platform' into more granular product entry points. Users in web, App, deep search, network-connected mode, document upload, API, or agent scenarios may receive different answers. Require vendors to specify which entry points are covered in each cycle. Sampling records should include at minimum: platform name, product entry point, model or feature name, network state, citation display, account status, region, time, original question, answer summary, citation sources, brand code, competitor code, error code, and screenshot or log. If a vendor only says 'we tested Qianwen' or 'we tested Kimi,' ask for the specific entry point — the same brand may perform differently across entry points, and procurement acceptance must be based on agreed entry points, not vague platform names.

Question 17

How should a company handle AI factual errors about their brand?

Accepted Answer

When AI answers contain factual errors, companies should not simply ask vendors to 'make AI fix it.' The correct process is to identify the error source, fill in authoritative facts, and re-test. The six-step correction process: (1) Document the error sample — question, platform, time, entry point, original answer text, citation sources, and screenshot or log; (2) Assess error severity — minor outdated info (handle within a month), inaccurate description (handle within two weeks), core factual error (handle within a week), sensitive factual error (escalate immediately), high compliance risk (immediately stop related distribution and involve legal); (3) Identify likely sources — old website pages, old official account articles, media coverage, second-party publications, competitor content; (4) Correct authoritative facts — prioritize fixing the official website, product documentation, FAQ, authorized case pages, and compliance statements; (5) Handle incorrect external sources — correct where possible, dilute risk with authoritative new materials where not; (6) Re-test and archive — re-test with the same question and same platform entry point, record whether it changed.

Question 18

How should GEO service fees be broken down and evaluated?

Accepted Answer

GEO pricing varies widely. Companies should require vendors to itemize costs. Common fee components include: diagnostic fee, monitoring fee, content strategy fee, content production fee, technical diagnostic fee, project management fee, training fee, third-party resource fee, and tool fee. After itemizing, companies can choose phased procurement based on budget and risk: small companies should prioritize diagnostics, core page rewrites, and one re-test; mid-size companies can purchase a 90-day diagnostic plus execution; industry leaders and public companies can purchase full-year monitoring, quarterly audits, compliance reviews, and competitor alerts. Overseas-focused companies should separately budget for localization, overseas third-party resources, and target market compliance. If a vendor bundles all costs into one total price without specifying third-party resources, tools, content, and labor boundaries, require itemization — pricing transparency is itself a measure of vendor maturity.

GEO

Core Concepts & Definitions