AI Search Is Changing How Brands Are Discovered
More users are turning to AI to ask, compare, and get recommendations. For brands, success is no longer just about rankings, but about being understood, mentioned, and recommended by AI.
1.2B
Global monthly AI search users
600M
Generative AI users in China
+357%
YoY growth in AI referral traffic
Make Your Brand Easier for AI to Understand, Cite & Recommend
GEO (Generative Engine Optimization) is an approach to optimizing how your brand appears in AI search and generative answers, helping increase opportunities to be mentioned, cited, and recommended.
Recognized
AI correctly understands your brand, products, and brand relationships.
Mentioned
Your brand appears in relevant AI-generated answers.
Recommended
Your brand has a stronger chance of being recommended over competitors.
Trusted
AI can find accurate, authoritative, and verifiable information about your brand.
How We Improve Your AI Brand Visibility
Three capabilities that take your brand from invisible to recommended — measured, optimized, and verified.
Capability 01
AI Visibility Audit
We analyze real user queries and AI responses across multiple platforms to identify brand mentions, recommendation rankings, competitor performance, and key visibility gaps.
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Real prompts across ChatGPT, DeepSeek, Kimi & more
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Brand mention & ranking baseline in days
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Competitor comparison with clear gap analysis
Capability 02
Citation & Content Optimization
We analyze the websites, media, encyclopedias, reviews, and other sources AI frequently cites, then optimize your brand content to make key information easier for AI to understand and cite.
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Reverse-engineer what AI cites to recommend competitors
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Rebuild brand content into AI-friendly, citable assets
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Authority signals strengthened across the web
Capability 03
Continuous Monitoring & Optimization
We continuously monitor brand visibility, recommendation rankings, citation sources, and competitor performance to refine your GEO strategy over time.
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Monthly performance reports with hard numbers
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Iterative strategy based on real data
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Long-term, stable AI cognition gains
Real Data. Anonymized Case Studies.
Anonymized for confidentiality — methodology and metrics kept intact.
AI Recognized the Brand, But Rarely Recommended It
99%
-
Brand Recognition
62%
19%
Recommendation
47%
8%
Top Choice Rate
Problem: Strong AI recognition, but zero recommendations in 10 of 32 high-value scenarios.
How we solved: Analyzed prompts, competitor recommendations, and citation sources, then optimized content across key sites.
AI Saw the Projects, But Failed to Connect Them to the Group Brand
75%
-
Core Project Mention
58%
4.5%
Group Attribution
21%
92%
Attribution Gap
Problem: The projects had strong AI visibility, but the group brand received little attribution from that visibility.
How we solved: We optimized brand architecture, project content, and key sources to strengthen the connection between the brand and its projects.
AI Expertise Meets China Market Expertise
A team that understands both how AI thinks and how China's market works.
AI × Marketing
Algorithm, content, product, and marketing expertise in one team.
China Market Expertise
Deep understanding of Chinese users, content ecosystems, and platforms.
Data-Driven
Continuous measurement through real prompts, multi-platform sampling, and competitor analysis.
White-Hat Optimization
Optimization based on authentic, authoritative, and traceable information.
Our Team
Algorithm Lead
PhD, NUS
Former VP of Data Science at Shopee
R&D Lead
Former Baidu AI
Customer Service R&D Lead
Product Lead
PhD, CUHK
Cross-Border Marketing & Product Experience
SEO primarily optimizes rankings in traditional search results, while GEO focuses on brand presence, citations, and recommendations in AI-generated answers. They address different search behaviors and can work together.
GEO cannot guarantee placement in a specific AI answer. Instead, it improves your brand information, content assets, and citation sources to increase the chances of being correctly understood, mentioned, and recommended in relevant AI queries.
Depending on your target market, we can monitor major AI platforms including ChatGPT, Perplexity, Google AI Overviews, as well as DeepSeek, Kimi, Doubao, and ERNIE Bot in China.
Results from content and brand asset optimization vary by industry, brand, and platform, and generally require ongoing monitoring and iteration over several months.
We track results using real user prompts, AI responses across multiple platforms, and competitor data, including brand mention rate, recommendation ranking, citation sources, and information accuracy.
Yes. We optimize based on authentic, authoritative, and traceable information assets without using fake content, AI poisoning, or other manipulative tactics.
Frequently Asked Questions
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