Illustrative GEO use case — not a completed client engagement. No measured client results are claimed.

The business situation

A hypothetical Auckland moving business has useful experience, but its website scatters service areas, access requirements and quoting information across several pages. Customers researching through AI answers may encounter incomplete or ambiguous information.

An example buyer question

“What should I compare when choosing a moving company in Auckland?”

A proposed GEO approach

1. Review a fixed set of service-selection questions and record which brands and sources appear in the answers.
2. Create clear, factual service and location pages covering areas served, service scope, exclusions and the information required for a quote.
3. Publish practical answers about access, packing, timing and quote factors, reviewed by the business owner.
4. Check that business identity and contact information are consistent across owned pages and relevant public profiles.
5. Review crawl access, internal links and structured data that accurately reflects the visible content.

Example deliverables

A baseline question set, a content-gap map, prioritised service-page improvements and an observation report with dated evidence.

How progress could be measured

Track brand mentions and linked citations separately for the same agreed questions, noting platform, date and location. Review identifiable referral visits and qualified enquiries without assuming that every enquiry came from AI.

Intended value

A clearer, more useful explanation of the business for customers and search systems. Inclusion in AI answers remains a platform decision.

These are proposed activities and measurement methods. No implementation, ranking gain, citation increase or revenue outcome is presented as having happened.