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GEO · Generative Engine Optimization

In the AI era
Brand growth engine

Smart agents automatically monitor your brand on AI platforms, generate optimized content, and improve visibility on ChatGPT, DeepSeek, Perplexity, and more.

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Structured summary output
Auto-generate bullet summaries and key conclusions for AI engines to extract and cite.
FAQ template generation
Auto-generate FAQs around topics to improve Q&A hit rate.
Unified brand messaging
Build a brand knowledge base to keep wording and tone consistent across all content.
Comparison & data tables
Output structured comparison tables and data to make content more citeable.
6+
Supported AI platforms
ChatGPT/DeepSeek/Perplexity…
10,000+
Content generated
Structured articles and video scripts
500+
Brands served
Business and individual users
24h
Monitoring cycle
Track visibility changes in real time
Core

12 core features powered by AI agents

From monitoring and analysis to content generation, from optimization strategy to team collaboration—improve your brand’s AI visibility end to end.

AI monitoring & analysis

AI search monitoring

Monitor your brand’s citations on ChatGPT, DeepSeek, Perplexity, and more in real time.

Visibility score

Compute an AI visibility score to quantify exposure trends.

Competitor comparison analysis

Deeply compare competitors’ AI performance to identify gaps and opportunities.

Data visualization dashboard

Interactive charts and smart dashboards for multi-dimensional trend insights.

Content generation & optimization

One-click agent drafting

AI-agent-driven, automatically generate structured content such as summaries/FAQs/comparison tables.

Video script generation

One-click generation of short-video scripts for Douyin, WeChat Channels, Bilibili, and more.

Content optimization engine

Provide personalized optimization strategies based on AI analysis to improve content quality.

Batch writing engine

Batch-generate high-quality drafts by keyword/topic pools to scale coverage.

Impact tracking & collaboration

Impact attribution tracking

Precisely attribute the impact of each optimization action and iterate with data.

Daily digest

Automatically generate daily diagnostics with actionable recommendations.

Real-time alerts

Trigger alerts automatically when metrics fluctuate abnormally for fast response.

Team collaboration

Multi-user roles and permissions for efficient collaboration and data security.

Product modules

Turn “being cited” into a reusable workflow

GEO isn't just writing an article—it's turning brand messaging, structured content, and generation workflows into assets so every draft auto-aligns with your brand.

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Brand knowledge base & messaging
Maintain brand info, products, and content rules so all generated content stays consistent.
AI one-click drafting (structured output)
Auto-generate summaries/key points/FAQs/comparison tables to give AI a more extractable structure.
Template system (reusable writing frameworks)
Save great article structures as templates and reliably replicate them across topics and sections.
Batch generation (scale coverage)
Batch-produce drafts for keyword/topic pools, standardize structure and messaging, and improve coverage efficiency.
GEO monitoring & comparison
Track brand mentions and performance on AI platforms, and iterate your content strategy and messaging focus.
Delivery & collaboration
Build a collaboration cadence around generation, review, and delivery so content production becomes trackable.
Implementation workflow

Make GEO part of your team’s routine in 4 steps

From messaging to structure to output and review, use one workflow to continuously improve citeability.

01
Codify messaging
Maintain brand info, products, and content rules in the knowledge base, and define what wording must stay consistent.
02
Choose structure
Choose templates/style/language and structured output strategies (summary, FAQ, comparison tables, etc.).
03
Drafting & batch production
Validate structure with a single draft first, then batch-generate by keyword/topic pools to scale long-tail coverage.
04
Monitoring review
Benchmark mentions and performance across AI platforms, feed insights back into templates and brand messaging, and build an iterative flywheel.
Make citeable structure the default output
Start drafting directly in the workspace—templates and messaging apply automatically.
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Use cases

Users ask questions; you deliver answers

Write high-frequency questions in a citeable structure so AI is more likely to use your content as a reference answer.

Brand comparison / selection
Comparison table / FAQ
“How to choose A vs B?” Use comparison tables + FAQs to provide citeable structure.
Product capabilities & boundaries
Structured key points
Clearly state features, target users, and limitations to reduce misunderstanding and improve citation credibility.
Industry solutions
Steps / checklist
Split by industry scenarios: pain points → solutions → implementation steps → FAQs.
Enterprise knowledge messaging
Brand knowledge base
Team writing’s biggest risk is inconsistent messaging. Codify messaging in a knowledge base and auto-inject it into the generation workflow.
Long-tail Q&A coverage
Batch generation
Batch-generate content outlines from keyword/question pools to cover long-tail questions at scale.
Continuously review and iterate
Monitor / iterate
Work backward from monitoring data: which questions get cited, which structures work better, then keep optimizing templates.
Value comparison

Upgrade from “writing articles” to a “content system”

Not just writing more—use more citeable structures so every output becomes reusable and improvable.

Comparison items
Traditional writing
Single-article output; inconsistent structure and messaging
GEO content system
Centered on structured outputs and messaging assets
Messaging consistency
Relies on manual memory and review; easy to drift
Brand knowledge base + automatic injection of content rules
Citeable structure
Scattered paragraphs; lacks summary/FAQ/comparison tables
Use summary/key points/FAQ/tables as default output
Scalability
Manual copy-paste; hard to scale
Template-based + batch generation to cover long-tail questions
Iteration loop
Finish and done; hard to review
Monitor → feed back into templates/messaging → iterate continuously
FAQ

GEO FAQ

Start with these questions to improve “visibility” with clearer structure and messaging.

What’s the difference between GEO and traditional SEO?
+
SEO focuses more on crawling and rankings; GEO focuses on being cited and recommended in AI search/Q&A. In practice, it means more structured summaries/FAQs/comparison tables and more consistent brand messaging.
Why build a brand knowledge base?
+
It’s hard for teams to keep messaging consistent over time. By turning brand info, products, and content rules into a knowledge base, every generation stays aligned, reducing rework and misstatements.
Should I start with a single draft or batch right away?
+
Start with a single draft to validate structure and messaging (title, summary, FAQ), then batch-generate by keyword/topic pools to cover long-tail questions and form a content matrix.
How can I make outputs more “citeable”?
+
Prioritize structured key points (3–5 conclusions), comparison tables (key differences), FAQs (frequent Q&A), and ensure critical brand wording stays consistent across content.

Start optimizing your AI visibility

Make your brand content more visible in the era of AI search and Q&A.

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