Marketing

Separate probabilistic AI from deterministic automation in SEO work

June 21, 2026 · From the archive, written in the Professor's voice before our October 2026 redesign from blog.hubspot.com

What happened

HubSpot advises using probabilistic models for ideation and exploration tasks because they introduce useful variation. Deterministic automation handles repetitive, verifiable tasks such as site crawls, rank tracking, schema validation, and broken link detection. The source article appears at https://blog.hubspot.com/marketing/ai-seo.

Why it matters

Teams stop forcing one tool to do everything and instead match tool type to task type. This reduces wasted tokens on deterministic checks and improves output quality on creative tasks. Workflow planning now starts with the question of verification before selection.

Who's doing it

HubSpot's own marketing team applies this split by routing schema and crawl checks to deterministic scripts while reserving ChatGPT and Claude for keyword cluster ideation and meta description variation.

Try it

1. Open Screaming Frog at https://www.screamingfrog.co.uk and run a full site crawl to collect technical errors.
2. Export the broken-link list and feed only the creative tasks such as title-tag brainstorming into ChatGPT at https://chat.openai.com.
3. Compare the deterministic crawl report against the probabilistic title set and keep only the titles that pass manual verification.

Read the original at blog.hubspot.com