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Growing donor discovery with AI-optimized search content

Donors were searching the cause, not the organisation. We rebuilt the content library around the questions people actually ask.

ClientEducation nonprofit
/
ServicesSEO / AIO, content strategy, web development
/
Timeline6 months
900+AI Overview citations in 6 months
42question-led pages published
6 moto compounding organic discovery

The challenge

Almost all organic traffic came from people already searching the organisation by name. Anyone searching the problem it works on — in a search engine or an AI assistant — found other sources first.

The existing content was written as programme announcements, which answered nothing a prospective donor was actually asking.

What we did

01

Start from the questions

The content plan came from what donors, parents and volunteers ask — in search, in AI assistants, and in the organisation’s own inbox.

02

Answer-first pages

Each page opens with a direct, quotable answer, then the evidence, then the ask. That structure is what assistants cite and what readers finish.

03

Make it machine-readable

Clean headings, structured data and internal links, so crawlers and assistants can tell what each page is authoritative about.

The outcome

The organisation now appears in over 900 AI-generated answers and ranks for the problem rather than only its own name. Organic converts better than paid, because visitors arrive with the question already answered.

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