01At a Glance
- Product tier
- L3 · Productivity & Growth
- Deployment
- Pure SaaS · Multi-tenant
- Monitoring coverage
- 13 generative AI engines
- Core chain
- Monitor → Experiment → Attribute → Monetize
- Platform roles
- 5 (incl. visitor free audit)
- UI languages
- Chinese & English
02Positioning
The brand “growth operating system” of the AI era — as LLMs become the new traffic gateway, we get brands “seen, cited, and recommended”, and turn AI visibility into quantifiable, attributable business returns.
A brand AI-visibility operations platform covering the full chain of citation monitoring → optimization experiments → attribution → monetization.
Not a traditional SEO tool — SEO solves “being found”; GEO solves “being recommended”. Complementary, not a replacement.
The “growth” link (L3) of the MAXLAKER stack, turning content assets produced by AIHub / Knowledge / Studio into returns inside AI answers.
03What is GEO?
GEO (Generative Engine Optimization) is the next battlefield of brand visibility after SEO. As users increasingly get answers directly from LLMs like ChatGPT, Doubao, and DeepSeek, brands must optimize not just traditional search-result rankings, but the probability of being mentioned, cited, and recommended in AI-generated answers.
SEO solves “being found”; GEO solves “being recommended” — different goals, different methods, and AI-era enterprises need both. MAXLAKER AIGEO is the full-chain platform built for exactly this.
04Core Value
Visible
Continuous monitoring across 13 generative engines — mentions, citations, and sentiment at a glance.
Measured
SOA visibility diagnosis + six-dimension citation-friendliness scoring identify gaps and quantify the baseline.
Optimized with evidence
Content baselines + A/B experiments prove which content gets cited and recommended — no more guessing.
Returns calculated
Value attribution outputs ROI / GMV contribution plus evidence snapshots — auditable growth reports for leadership.
05Full-Chain Capabilities (Four Stages)
- AI citation monitoring: track brand citations and mentions across 13 generative AI engines (DeepSeek, GLM, OpenAI, Claude, Gemini, Perplexity, xAI, Qwen, Doubao, Kimi, MiniMax, Yuanbao, ERNIE) with sampled scheduling, batching, and deduplication;
- Content optimization experiments: brand visibility diagnosis (SOA), content baselines + A/B experiments (create/start/statistics/complete) + citation-friendliness scoring (six-dimension rule formula);
- Outcome attribution: value attribution models compute AI-traffic ROI / GMV contribution, generating evidence snapshots and delivery reports;
- Commercial monetization: subscription billing (Stripe), free audits, channel operations (leads/trials/renewals/customer health), and distribution incentives (commission ledgers/withdrawals/agency tiers).
06Capability List
| Module | Description |
|---|---|
| AI citation monitoring | 13-engine adaptation, query tasks, monitoring dashboards, sampled scheduling |
| Visibility diagnosis (SOA) | Mention / citation / sentiment aggregation, baseline snapshots & strategy suggestions |
| Content & experiments | Content baselines, A/B experiments, citation-friendliness audits |
| Value attribution | Attribution models, ROI / GMV contribution, evidence snapshots |
| Opportunities & anomalies | GEO opportunity identification and anomaly monitoring with threshold-rule suggestions |
| Brand knowledge base | Brand knowledge profiles and knowledge graphs (nodes / edges / inference) |
| Sources & distribution | Source channel management, distribution task scheduling |
| Reports & evidence | Report templates, delivery & read receipts, evidence export |
| Subscription billing | Stripe subscriptions, usage events, orders / invoices / payments, free audits |
| Channel operations | Leads, trial lifecycle, renewal opportunities, customer health scoring, delivery cockpit |
| Distribution incentives | Commission ledgers, withdrawal requests, agency tiers, channel performance |
| Governance & security | RLS multi-tenant isolation, audit logs, model governance & routing, monitoring alerts, Webhook / SCIM / OpenAPI |
07Unique Advantages
- 13-engine coverage: unified monitoring across major domestic and international generative engines — a complete view of brand AI visibility;
- Full-chain closed loop: monitor → experiment → attribute → monetize in one platform — no stitching multiple tools together;
- Attribution to business value: beyond “mention counts”, directly convert AI traffic into GMV / ROI contribution — answering “is the investment worth it”;
- Dual-role ecosystem: brands plus tiered channel agencies, with distribution incentives and commission ledgers for scalable business;
- Multi-tenant security: RLS row-level isolation plus service-layer enforcement, complete traceable audit logs — enterprise data stays invisible to each other.
08Architecture & Roles
Multi-tenant SaaS architecture, instant on, bilingual UI, covering five roles:
Backend permissions are doubly enforced by RLS row-level isolation plus the service layer, securing multi-tenant data.
09Who It's For
Build an AI-era brand-visibility position, quantify content ROI in AI answers, and claim the new traffic gateway.
Offer GEO as a new client service — run many clients at once on one platform and open a new revenue curve.
Open a new battlefield beyond traditional search and upgrade capabilities from SEO to “SEO + GEO”.
Cover overseas AI engines and manage multilingual, multi-market AI visibility and brand narrative.
Full-process operations of leads / trials / renewals / commissions — scale platform distribution and compound client assets.
10Use Cases
- Brands: raise visibility in LLM answers with optimization experiments and attribution loops;
- Channel agencies: batch operations for multiple clients — leads / trials / renewals / commissions end to end;
- New product launches: build the brand knowledge base pre-launch, monitor AI perception and recommendation bias, and correct course early;
- Crisis & reputation management: monitor negative or outdated information in LLM answers and steer correction through source optimization and content updates;
- SEO team upgrade: turn existing content assets AI-friendly, creating dual traffic from search + AI.
11FAQ
What is GEO?
GEO stands for Generative Engine Optimization. As users increasingly get answers from LLMs (ChatGPT, Doubao, DeepSeek, and more), GEO helps your brand get mentioned and recommended in AI-generated answers.
How is GEO different from SEO?
SEO optimizes rankings in traditional search result pages; GEO optimizes brand visibility in AI-generated answers. Different goals, different methods — AI-era enterprises need both.
What does the MAXLAKER AIGEO platform provide?
An end-to-end chain: citation monitoring across 13 engines, brand visibility diagnosis, A/B content experiments with friendliness scoring, value attribution (ROI), and report evidence — helping teams continuously optimize how their brand appears in LLM answers based on evidence.
Which engines are monitored?
13 generative AI engines: DeepSeek, GLM, OpenAI, Claude, Gemini, Perplexity, xAI, Qwen, Doubao, Kimi, MiniMax, Yuanbao, and ERNIE.
How is performance measured?
The platform monitors your brand's citations and mentions across major LLMs, and computes the business return of AI-driven traffic through value attribution — presented as quantifiable reports.
Who is it for?
Brands that want to be found by LLM users, and channel agencies serving multiple clients; the multi-tenant platform supports agency tiered operations and distribution incentives.
How do I get started?
Pure SaaS, instant on — visitors can start with the free audit to see current AI visibility, then subscribe as needed.