01
For agencies: help clients become stronger sources
A client wants to be mentioned when a buyer asks AI for a provider. Turn that ambition into evidence-led work: clarify who the client helps, answer the questions behind the recommendation and make supporting pages accessible.
- Before a proposal: establish a baseline.
- Before handover: check the published pages.
- During ongoing work: revisit changes with saved reports.
02
For local businesses: be ready for “who should I call?”
Imagine someone asking Meta AI to recommend a mechanic nearby. Your website should make the location, services, relevant expertise and booking process clear. Those facts give a retrieved page substance to support a recommendation.
- Make eligibility and locations explicit.
- Explain the next step for a new customer.
- Describe how prices or quotes work without inventing a fixed price.
03
For ecommerce: explain why a product fits
When a shopper asks AI which product suits a particular need, specific compatibility, dimensions and delivery information are more useful than broad sales claims. Find gaps in sampled pages so your products are easier to understand and compare.
- Clarify product variants and important specifications.
- Make delivery and returns information easy to find.
- Check the crawl scope before drawing conclusions about a whole catalogue.