GENERATIVE ENGINE OPTIMIZATION
MAXLAKER AIGEO
Generative Engine Optimization platform
13
generative engines monitored
13 Engines
AI visibility monitoring
SaaS
Multi-tenant SaaS service
Brand MAXLAKER · this weekMentions 58 Citations 42 Sentiment positiveRecommendation 31% ↑8% vs competitors +12%→ Strategy suggestions ready · A/B test pending
Positioning
MAXLAKER AIGEO is the end-to-end Generative Engine Optimization (GEO) SaaS platform for brands and agencies, covering the full chain of AI citation monitoring → content optimization experiments → outcome attribution → commercial monetization. It gets your brand seen in LLM answers and turns AI-era content assets into attributable business returns.
Built for brand marketing, content operations, agencies, and growth teams, GEO monitors how a brand is mentioned, cited, and recommended across generative engines such as ChatGPT, Doubao, and DeepSeek. Teams can establish a baseline, run content and brand-message experiments, and use attribution reports to judge whether AI channels create real business value.
Monitoring across 13 engines
Continuous monitoring of major generative engines at home and abroad — visibility on one screen.
Optimization with experiments
A/B content experiments + six-dimension citation-friendliness scoring — no more gut calls.
Attributable returns
The value attribution model outputs ROI / GMV contribution with evidence snapshots.
Core Capabilities
From “being seen” to measurable growth: GEO connects citation monitoring, visibility diagnosis, content experiments, outcome attribution, and channel operations into one loop — showing where the brand stands, what to optimize next, and whether the change pays back.
AI citation monitoring
Monitoring scope
Configure brands, competitors, products, and priority questions for the AI answer scenarios that matter.
Multi-engine sampling
Connect 13 generative engines, run scheduled queries, and retain every sampling result.
Metric tracking
Follow mentions, citations, sentiment, recommendation rate, and competitor differences over time.
Snapshots & dashboards
Build historical snapshots and trend dashboards as a baseline for experiments and reviews.
Build durable monitoring tasks around your brand, competitors, and target questions — turning one-off checks into comparable, traceable visibility data.
Visibility diagnosis (SOA)
Mentions / citations / sentiment aggregation, baseline snapshots, and strategy advice.
Content & experiments
Content baselines, A/B experiments, citation-friendliness audits.
Value attribution
Attribution models, ROI / GMV contribution, evidence snapshots.
Channel operations
Leads, trial lifecycle, renewal opportunities, customer health.
Distribution & billing
Stripe subscriptions, commission ledgers, withdrawal requests, agency tiers.
Operating Model & Delivery Path
Step 1
Monitor
Track citations and mentions of your brand across 13 engines.
Step 2
Experiment
SOA diagnosis + content baseline + A/B experiments to validate direction.
Step 3
Attribute
Attribution models compute the ROI / GMV contribution of AI-driven traffic.
Step 4
Monetize
Subscription billing, channel operations, and distribution incentives close the loop.
Business Scenarios & Applications
Brand AI-visibility lift
Diagnose, experiment, attribute — keep raising your probability of being recommended.
Launch-time AI reputation
Build the knowledge base pre-launch; monitor and correct AI perception.
Agency multi-channel operations
Batch operations across clients; the full lead / renewal / commission flow.
Deployment, Billing & Delivery
Deployment
Pure SaaS multi-tenant platform, instant on; five roles — system admin, channel agency, enterprise client, operator, and visitor — with a bilingual UI.
Planning a specific deployment? Talk to our solution team for guidance based on your environment.
Book a Demo →Pricing & Editions
| SaaS subscription | Stripe billing: usage events, orders / invoices / payments |
| Free audit | Visitors can use the brand AI-visibility audit for free |
| Distribution incentives | Commission ledgers, withdrawal requests, agency tiers |
Position in the Four-Layer Architecture
L1 · Infrastructure & Connectivity
L2 · Core Intelligence & Assets
L3 · Productivity & Growth
Current position
L4 · Infinite Extension
Enterprise Buying FAQs
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 — systematically raising your probability of being recommended in LLM answers.
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 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.
Make AI Your Growth Engine
Start with a demo and see how MAXLAKER's full-stack solutions land in your enterprise.