Marketing

Separate probabilistic tools from deterministic ones when building an SEO workflow

June 22, 2026 · From the archive, written in the Professor's voice before our October 2026 redesign from blog.hubspot.com

What happened

The HubSpot guide distinguishes ideation tasks, which benefit from probabilistic models like GPT variants, from repetitive tasks like site crawls, rank tracking, schema validation, and broken link checks that require deterministic automation. It states that AI should assist where variation adds value and should be withheld where output must be verifiable and repeatable.

Why it matters

Readers learn to stop treating every SEO task as an AI opportunity. They gain a decision rule that reduces wasted tokens on mechanical checks and improves output quality on creative work. The result is a clearer workflow boundary between human judgment and scripted execution.

Who's doing it

HubSpot's own marketing team applies this split across its content operations, routing schema audits and backlink monitoring to automated scripts while reserving topic ideation and outline drafting for large language models.

Try it

1. Open Screaming Frog and run a full site crawl to collect technical issues without AI involvement.
2. Export the crawl data and paste only the creative sections, such as title tag suggestions, into ChatGPT at chat.openai.com.
3. Review the probabilistic outputs for brand fit and run the deterministic crawl report through a validation script before publishing.

Read the original at blog.hubspot.com