The AI Update Cycle: Measure, Calibrate, Prove
When you run an AI Update, AITWIRE:
1. Measures — probes leading public AI systems and answer surfaces with the real questions your customers ask (drafted by AITWIRE and sent only once you approve them, on the schedule you choose), scoring every response across the five quality dimensions (accuracy, citation, sentiment, quality, recommendation). 2. Fixes — turns measured gaps into prioritized recommendations and data briefs, publishes the facts you have confirmed to your authority surfaces (entity.json, JSON-LD, llms.txt), and pings AI systems via IndexNow to re-crawl. AITWIRE verifies — it does not write your prose, and every correction is suggest-and-confirm. 3. Proves — re-asks the same approved questions on an escalating schedule and reports the before-and-after accuracy lift for each AI system (for example, +22 points on one engine), backed by an auditable record.
The 72-Hour Verification Window
After you approve a change, AITWIRE enters a 72-hour verification window and re-measures on escalating checkpoints:
- 6h checkpoint: first re-probe to see if anything changed
- 24h checkpoint: early ingestion check
- 48h checkpoint: mid-window accuracy measurement
- 72h checkpoint: final measurement and before-and-after lift report
Important: Do not approve new changes during this window — it resets the clock and discards partial lift data.
Remember that AI answers move on a propagation longtail: search-grounded engines typically shift within one to two weeks of a re-crawl, while base models change only on retraining. A fix showing no change at 72 hours has usually not propagated yet — judge lift over weeks, not hours.