Apply Recommendations with AI is the action in Experiments that turns a retained AI critique — plus any direction you add — into a validated, revised experiment specification held in memory, ready for you to inspect before you commit it.
| Term | Apply Recommendations with AI |
|---|---|
| Category | AI, Content Generation and Experiments |
| Also known as | Apply AI Recommendations |
| Where it appears | Experiments → Design help |
What it means in RankGear
In Experiments → Design help, this is the step that takes an AI critique you have already generated and kept, combines it with any extra direction you supply, and produces a rewritten experiment specification. The revised spec stays in memory — it is proposed, not yet saved or published — so nothing about your live experiment changes until you accept it.
How to interpret it
Treat the result as a draft revision to review, not an automatic edit. Before you apply or publish anything, check the context that was fed to the model, the model you chose, the cost boundary you set, and the proposed output itself. The validated revised spec is a suggestion; you decide whether it actually improves the experiment.
Example
Say you have drafted an A/B experiment comparing two title formats, then ran a critique that flags the variants as too similar to isolate a single change. You add the direction “keep length constant, vary only the leading keyword,” and choose Apply Recommendations with AI. RankGear returns a revised spec with tightened variants, which you inspect and edit before saving.
Important considerations
- AI output can be incomplete or wrong — verify factual claims, credentials, statistics, citations, and experimental isolation before you act on the revision.
- The revised spec is held in memory and proposed only; applying it is a deliberate step, so review the model, cost boundary, and supplied context first.
- The critique and the applied recommendation assist your judgment — they do not score pages or guarantee outcomes, so read them as drafting help rather than ranking authority.
Related terms
Part of the RankGear glossary · how RankGear measures · the 870 factors.