AI-search visibility
Add the generative-engine channel so specialist content can enter answer surfaces
If target buyers already use generative tools for early research, optimising only search result pages leaves a gap. This solution is centred on RAG GEO: it organises public product and technical knowledge into citable sources and connects them to the current site structure. If the company also needs ongoing acquisition on search result pages, the same knowledge base can support RAG SEO, rather than inventing a second set of claims.
Who it is for
- Teams that already hear customers comparing options with AI tools before they inquire
- Companies that must state principles, fit, and limits accurately, and cannot replace explanation with slogans
- Operators with a content foundation who want the same knowledge extended into generative answers
What the work covers
- Sorting knowledge that can be cited publicly from commercial information that should stay internal
- Restructuring pages or topics around buying questions, with definitions, comparisons, steps, and FAQs
- Using company RAG to constrain drafting and review
- Checking crawlability and information hierarchy so sources can be found
- Routing resulting visits into a shared inquiry follow-up process wherever possible
How the work usually proceeds
List questions buyers already ask AI tools
Start from real inquiries and questions sales already answer repeatedly, not from invented buzzwords.
Check and structure existing material
Write the answers clearly and keep them consistent with other pages on the site.
After publishing, watch citations and inquiries
See whether target answers cite the company, and whether visits become followable leads.
Need a proposal that fits your situation?
Tell us about your current site, target markets, and the problem you want to solve first. We will shape a direction from that, rather than starting with a price list.