The AI Update Cycle: Measure, Fix, Prove
When you run an AI Update, AITWIRE:
1. Measures — probes 9 probed AI systems covering 90%+ of AI-answer traffic with the real questions your customers ask, scoring every response across the six quality dimensions (accuracy, citation, sentiment, quality, recommendation, competitive position). 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-probes the same 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.