Chris Long Profile picture
Co-founder at Nectiv. I improve rankings through a deep understanding of Google's algorithm and Web technology. MozCon, SMX, BrightonSEO speaker

Feb 10, 17 tweets

New SEO article: How to create FAQs at scale with Screaming Frog + OpenAI's API.

Create HUNDREDS of FAQs in just 10 minutes:

This is the latest article + process I posted on the Nectiv blog.

Implementing FAQs is one of the most popular ways we're seeing brands optimizing for AI search: nectivdigital.com/how-to-create-…

If you want to know the technical reasons for this, @chrisgreenseo has done a lot of good research around why FAQs could be effective.

They basically contain extremely dense content that self-summarize the article in very few characters: chris-green.net/post/content-s…

So one of the best ways to create this content for many SEOs is through Screaming Frog.

They have an OpenAI API integration that allows you to push your content through it at scale and have it suggest FAQs as a v1.

Here's the process:

1. Open up Screaming Frog

2. Go to Configuration > Spider > Extraction

3. Ensure that both “Stored HTML” and “Store Rendered HTML” are checked on

4. Navigate to Configuration > API Access > AI > OpenAI.

Add your OpenAPI Key.

5. Navigate to the “Prompt Configuration" tab.

In the article, I talk through the exact prompt config + prompt for the FAQs.

6. Start your crawl.

7. Navigate to AI > FAQs in the right-side bar.

You should start seeing FAQs populate in Screaming Frog. In my example, I had it create 5 FAQs for every single page on the Kit site.

Screaming Frog will extract the landing page content and feed it to OpenAI at scale.

It's incredibly powerful and can give you a V1 of FAQs in just about 10 minutes: nectivdigital.com/how-to-create-…

Some caveats here:

- The longer your landing pages are, the better this will work. It gives much more opportunity to reframe the existing content as questions

- If done right, I think is a solid use of AI-content. It's not creating novel content but summarizing the page into questions users might have.

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