The exact loop I use with Bing's grounding query data to keep AI citations long-term

Sharing the workflow I've settled into for Bing Webmaster Tools' AI Performance report, because most write-ups stop at "it shows citations, cool."

The loop:

1. Log in regularly - not once. New pages surface week to week as the model re-grounds, so this only works as a habit.
2. Look at pages that are new to your citations in the last 7 days. These are the surprises, and surprises are where the strategy hides.
3. For each, pull the grounding queries mapped to it. Remember these aren't user prompts - they're the queries Copilot wrote for itself to find you. That's your real intent signal.
4. Group the queries by intent: definition, comparison, troubleshooting, evaluation, commercial. A page cited across mixed intents usually means it's doing too much or got pulled in loosely.
5. Read the page as the person behind those queries. Does it answer them near the top and in the subheads, or do you have to dig? If you dig, the citation is fragile.
6. Rewrite for the human first, now - before a better answer shows up and displaces you. The bet is that quality is what survives re-grounding.

The hard part is step 6's discipline: resisting the urge to celebrate visibility instead of earning it.

What's your read on step 4 - is intent grouping worth it, or are you just fixing the obvious gaps page by page?