Vector Embeddings for SEO

Antalya Conference 2025Gus PelogiaFresh

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Key Takeaways

No Coding Required

• Use ChatGPT to generate all Python code
• Google Colab provides free execution environment
• Specify inputs, outputs, and desired behavior

5 Practical Use Cases

1. Related Articles Mapping - Find semantically similar content
2. CTA Matching - Match articles to relevant calls-to-action
3. Hreflang Mapping - Match content across languages
4. Content Gap Analysis - Find competitor topics you're missing
5. AI Answer Matching - Compare content to AI responses

The Master Prompt

I need Python code for Google Colab.
I will upload a CSV with [columns].
I want the code to [action] using cosine similarity.
Output results to a new CSV file.

Tools Used

• ChatGPT Plus (code generation)
• Google Colab (execution)
• OpenAI API (embeddings)
• Screaming Frog (bulk extraction)

Related SOP

For the full actionable procedure, see: Vector Embeddings SOP