Recently, while researching GEO (Generative Engine Optimization), I looked at Profound, a "rising star" invested by Sequoia with 35 million yuan, and organized the methodology behind their product
       
If you are also trying GEO, you can use this method to quickly copy assignments and solve problems on your own based on your own needs.
       
Profound's 5-Step Core Method Perfectly Adapts to GEO Implementation
1 Analyze Analysis
Find out the "information source" of AI, test product related queries, and see which websites ChatGPT and Claude have referenced. This is GEO's first step, finding an authoritative source of trust for AI.
       
2 Create Create
Repackaging the content to make it AI's favorite form of content:
Comparison Table (A vs B Function Comparison)
FAQ format Q&A
Step by step guide
List of advantages and disadvantages
These are the structures that are most easily captured and referenced by AI.
       
3 Distribution
Find AI trusted platforms such as Reddit, GitHub, ProductHunt, Quora, etc. The core of GEO's traffic lies in distributing content to authoritative channels that AI will search for.
       
4 Measures Measurement
Continuously monitor AI citation status and track the frequency of brand appearances in AI responses. This is the core indicator for measuring the effectiveness of GEO, which is more important than traditional SEO ranking.
       
5 Iteration iterations
Based on data adjustment strategies, increase the amount of content and channels with good results, and decisively abandon those with poor results.
       
Practical case: Ramp's 3-week comeback
Jumping from AI visibility 3.2% to 22.2%, ranking 19th to 8th!
Key: Only 2 pages were optimized, but both adopted AI friendly structures, successfully leveraging GEO traffic.
       
Our GEO practical method
Use MCP for competitor analysis, generate a list of test questions, and identify pain points that AI may be concerned about.
Determine distribution channels, develop content strategies, and accurately deliver GEO content.
Create content in bulk using Claude Code, including comparative articles and landing pages.
Establish effect tracking and regularly review and optimize.
       
In fact, the biggest taboo when doing GEO is to "keep your head down" - the long product article I spent two weeks writing before is not as effective as using this method to create a comparison table. The traffic logic of the AI era has long changed: it's not how well you write, but whether you can accurately hit AI's "preference points"
#GEO Optimization # AI Tools # claudecode # profound # GEO # SEO Optimization # ChatGPT # Overseas Market Expansion # Foreign Trade Professionals Finding Customers

Recently, while researching GEO (Generative Engine Optimization), I looked at Profound, a "rising star" invested by Sequoia with 35 million yuan, and organized the methodology behind their product
       
If you are also trying GEO, you can use this method to quickly copy assignments and solve problems on your own based on your own needs.
       
Profound's 5-Step Core Method Perfectly Adapts to GEO Implementation
1 Analyze Analysis
Find out the "information source" of AI, test product related queries, and see which websites ChatGPT and Claude have referenced. This is GEO's first step, finding an authoritative source of trust for AI.
       
2 Create Create
Repackaging the content to make it AI's favorite form of content:
Comparison Table (A vs B Function Comparison)
FAQ format Q&A
Step by step guide
List of advantages and disadvantages
These are the structures that are most easily captured and referenced by AI.
       
3 Distribution
Find AI trusted platforms such as Reddit, GitHub, ProductHunt, Quora, etc. The core of GEO's traffic lies in distributing content to authoritative channels that AI will search for.
       
4 Measures Measurement
Continuously monitor AI citation status and track the frequency of brand appearances in AI responses. This is the core indicator for measuring the effectiveness of GEO, which is more important than traditional SEO ranking.
       
5 Iteration iterations
Based on data adjustment strategies, increase the amount of content and channels with good results, and decisively abandon those with poor results.
       
Practical case: Ramp's 3-week comeback
Jumping from AI visibility 3.2% to 22.2%, ranking 19th to 8th!
Key: Only 2 pages were optimized, but both adopted AI friendly structures, successfully leveraging GEO traffic.
       
Our GEO practical method
Use MCP for competitor analysis, generate a list of test questions, and identify pain points that AI may be concerned about.
Determine distribution channels, develop content strategies, and accurately deliver GEO content.
Create content in bulk using Claude Code, including comparative articles and landing pages.
Establish effect tracking and regularly review and optimize.
       
In fact, the biggest taboo when doing GEO is to "keep your head down" - the long product article I spent two weeks writing before is not as effective as using this method to create a comparison table. The traffic logic of the AI era has long changed: it's not how well you write, but whether you can accurately hit AI's "preference points"
#GEO Optimization # AI Tools # claudecode # profound # GEO # SEO Optimization # ChatGPT # Overseas Market Expansion # Foreign Trade Professionals Finding Customers