Use Screaming Frog's AI Integration for Faster Audit Analysis
For SEO Specialist / Content Marketing Managers ·
What This Does
Screaming Frog now connects directly to OpenAI or Google Gemini, letting you run AI analysis on crawl data in bulk — generate meta descriptions, categorize issues, and analyze pages at scale without copying anything out of the tool.
Before You Start
- Screaming Frog SEO Spider installed (free version works for sites under 500 URLs; paid licence for larger sites — £259/year)
- An OpenAI API key OR a Google Gemini API key (you'll need a paid OpenAI account with API credits, or a Gemini API key from Google AI Studio — starts at ~$0.002 per request)
- A completed crawl of the site you're auditing
Steps
1. Connect your AI API key
With Screaming Frog open, navigate to Configuration → AI → Settings. Enter your OpenAI API key (from platform.openai.com → API keys) or Google Gemini key. Click Save and Test — you'll see a confirmation if the connection works.
What you should see: A green checkmark or "Connection successful" message.
Troubleshooting: If it fails, check that your API key has billing set up (OpenAI requires a payment method even for small usage).
2. Run a crawl
Click Start to crawl your target URL. For the AI integration to work most efficiently, wait for the full crawl to complete. A 500-page site typically takes 5-10 minutes.
3. Use AI bulk analysis on a column
After crawling, select the Crawl Overview tab and navigate to a specific report — for example, Response Codes → 200 OK pages. In the column view, right-click any column header and look for Custom Extraction or select pages, then from the Bulk Export menu choose AI Custom Analysis.
A dialog box appears. Type your prompt — for example: "Based on this page's title and meta description, write an improved meta description under 155 characters that naturally includes the target keyword."
What you should see: Screaming Frog sends each selected page's data to the AI API and returns results in a new column. This runs in the background and can process hundreds of pages.
4. Export the AI-generated output
Once the AI column populates, export to CSV via Bulk Export → Custom → Select your AI column. This gives you a spreadsheet with URLs + AI-generated content ready for review and CMS upload.
Real Example
Scenario: You're auditing a 300-page SaaS site. 180 pages have thin or duplicate meta descriptions. You want unique, optimized meta descriptions for all of them without writing each one manually.
What you do: Crawl the site → filter to pages with duplicate/missing metas → select all 180 → run AI bulk analysis with prompt: "Write a unique, SEO-optimized meta description under 155 characters for this page. Title: {page title}. Include a clear benefit and call to action." → export to CSV → QA the output → bulk upload to CMS.
Time saved: 180 × 10 min manually = 30 hours → 1 hour with AI bulk analysis.
Tips
- Start with a small test batch (10-20 pages) before running the AI analysis on your full crawl — verify the output quality before spending API credits on 500 pages.
- The AI integration costs real money at scale. A 500-page audit using GPT-4o will cost roughly $0.50-$2.00 depending on prompt length — very cheap for the time saved.
- Use this for FAQ content extraction too: prompt Screaming Frog to "identify 3 questions users likely have about this page topic" — use the output to build FAQ sections.
Tool interfaces change — if the AI menu has moved, check under Configuration → AI or the Bulk Export menu for current AI options.