Marketing

Separate probabilistic AI from deterministic tools in your SEO stack

June 11, 2026 · From the archive, written in the Professor's voice before our October 2026 redesign from blog.hubspot.com

What happened

HubSpot recommends probabilistic models for ideation and exploration tasks that benefit from variation. Deterministic automation handles repetitive and verifiable tasks such as site crawls, rank tracking, schema validation, and broken link checks. The guidance comes from the article at https://blog.hubspot.com/marketing/ai-seo.

Why it matters

Teams stop forcing one model to do every job and instead match tool type to task type. Workflow time drops when repetitive checks run on scripts and creative tasks stay with large language models. The distinction prevents wasted tokens and clearer audit trails.

Who's doing it

HubSpot's own SEO team applies this split and reports faster content audits with fewer false positives on schema errors.

Try it

1. Open Screaming Frog at https://www.screamingfrog.co.uk and run a full site crawl to collect deterministic data.
2. Export the crawl file and paste selected page sections into ChatGPT with the prompt 'suggest three headline variants and three internal link opportunities.'
3. Compare the AI suggestions against the crawl metrics and keep only those that raise target keyword density without introducing crawl errors.

Read the original at blog.hubspot.com