How can I integrate Azure AI or OpenAI Service into a web-based SEO analyzer like RankingsFactor for automated insights?

Hi everyone,

I’m exploring ways to integrate Microsoft Azure OpenAI Service into a web application that analyzes websites for SEO performance — similar to what we’re building at RankingsFactor.

Our goal is to use AI to automatically evaluate:

On-page SEO elements (titles, descriptions, headings)

Domain trust and authority

Content quality and keyword optimization

Mobile performance and accessibility

I’d like to know:

What’s the best way to use Azure AI / OpenAI APIs for analyzing website content in real-time?

Are there recommended architecture patterns (e.g., using Azure Functions + Cosmos DB) for scaling such an AI-driven analyzer?

Can the OpenAI models within Azure handle large HTML documents efficiently, or do we need preprocessing steps before feeding them into the model?

Any examples, best practices, or architectural references from Ignite sessions or documentation would be appreciated.

Hi everyone,

I’m exploring ways to integrate Microsoft Azure OpenAI Service into a web application that analyzes websites for SEO performance — similar to what we’re building at RankingsFactor.

Our goal is to use AI to automatically evaluate:

On-page SEO elements (titles, descriptions, headings)

Domain trust and authority

Content quality and keyword optimization

Mobile performance and accessibility

I’d like to know:

What’s the best way to use Azure AI / OpenAI APIs for analyzing website content in real-time?

Are there recommended architecture patterns (e.g., using Azure Functions + Cosmos DB) for scaling such an AI-driven analyzer?

Can the OpenAI models within Azure handle large HTML documents efficiently, or do we need preprocessing steps before feeding them into the model?

Any examples, best practices, or architectural references from Ignite sessions or documentation would be appreciated.