Audits and fixes how AI answer engines describe and recommend your brand.
The challenge
Answer-engine optimization is a brand-new category — buyers don't search 'AEO audit.' Standard ICP filters returned old-school SEO heads who weren't ready to spend on a new line item.
The shift to intent
Saava watches the LinkedIn voices defining the category — AEO researchers, generative-search analysts, growth leaders writing about Perplexity / ChatGPT visibility. Every CMO and head-of-growth engaging with that content arrives scored and contact-enriched.
A new category that the ICP filters don't know about
Apollo doesn't have a 'cares about AEO' checkbox. Filtering by SEO title surfaced people who weren't ready to add another budget line.
Engagement is the only intent signal that exists yet
Until the category matures, the cleanest signal is who's reading the few people writing about it. Saava routes us to those readers the moment they like a post.
Closing the loop before competitors notice
Five paid audits in the first 30 days, at a 16× payback on the audit price. The unfair advantage is that we knew about each buyer before they'd typed the category into a search bar.
“Buying signals for AEO live entirely on LinkedIn engagement. Saava reads them in real time — every other tool was guessing at titles that hadn't caught up yet.”
Run the same playbook on your ICP.
Pin two LinkedIn voices your buyers follow — Saava scores every engager against your ICP and hands you contact-enriched leads.
Start free trialMore stories
Builds owned outbound systems for B2B teams — software you keep, not a managed service.
AI co-pilot that analyzes calls, updates the CRM, and briefs reps before every meeting.
Pairs founders with experienced investors for high-signal pitch feedback before the real meetings.