How Orbit Labs sold 5 AEO audits in 30 days in a brand-new category
Audits and fixes how AI answer engines describe and recommend your brand.
What wasn’t working
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.
What they changed
Saava watches the LinkedIn voices defining the category: AEO researchers, generative-search analysts and growth leaders writing about Perplexity / ChatGPT visibility. Every CMO and head-of-growth engaging with that content arrives scored and contact-enriched.
How it played out
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.”
The steps, if you want to try this
- 01When a category is too new for title filters, find the few people writing about it.
- 02Track those writers and score every CMO or growth lead who engages with them.
- 03Reach buyers before they have a name for what they need, using the post as the opener.
- 04Price the first offer as a paid audit so the payback is easy to measure.
