Hi everyone, I'm Lao Meng. I'm primarily responsible for our company's GEO strategy and layout. Our team has helped over 100 companies achieve results, and we've accumulated a lot of experience. Recently, people often ask me: "How can I get AI to recommend my company more?" It's actually like SEO - "understand the platform logic". Once you find the right method, you'll get twice the result with half the effort. Today, I'll share our practical experience with you.

First, understand: What kind of companies does AI love to recommend?

Before discussing this, let's look at a more fundamental question: what kind of AI platforms do users like? Undoubtedly, "better ones". This implies: "You must be smart enough to understand my needs like a human and provide corresponding solutions." This inevitably forces one thing: making AI understand users' thoughts more accurately and helping them find more precise answers.

For example, when a user searches for "B2B GEO success story companies", they essentially want "a service provider that can solve B2B business needs with actual results". Searching for "SME ERP" means "a system that works within budget without wasted features".

We can gain inspiration from this. As a company, doing GEO shouldn't be subjective. Instead, stand in the user's shoes and think about what they need and what AI will collect for them. In summary, AI decides "whether to recommend you" based on three points:

1. Requirement Matching: Is what you say truly what users care about (e.g., if users want B2B cases, don't just talk about B2C)?
2. Value Matching: Can you provide direct help to the user (e.g., solving "which provider to choose" or "is the budget enough")?
3. User Feedback Signals: Are users willing to stay, bookmark, or share after clicking? These behaviors tell AI "this brand is worth pushing".

Step 1: Find "breakthroughs" in user's snippets

Content placeholder, here is the detailed description for Step 1. AI will crawl content based on user search habits and intent. You need to ensure your content includes keywords and scenario descriptions that users might search for.

Step 2: Adjust strategy based on market demand and self-advantage

Content placeholder, here is the detailed description for Step 2. Analyze competitors and find your unique advantages. AI prefers to recommend content that has unique value and authority.

Step 3: Seize user behavior details, give AI "positive feedback"

Content placeholder, here is the detailed description for Step 3. Optimize the page interaction experience to increase user dwell time and interaction rates. AI will capture these signals and give higher weight.

Step 4: Multi-platform layout, let AI "see" you everywhere

Content placeholder, here is the detailed description for Step 4. Don't be limited to a single platform. Sync your efforts across channels like Little Red Book, Zhihu, and WeChat Official Accounts to form brand momentum.

Step 5: Small steps, fast run, constant adjustment and optimization

Content placeholder, here is the detailed description for Step 5. GEO is a dynamic process that requires continuous iteration based on data feedback. Every small improvement counts towards more AI recommendations.

Final words

In summary, GEO is not achieved overnight. It requires deep content cultivation, understanding AI algorithms, and more importantly, understanding human hearts. I hope today's sharing brings you some inspiration.