Get cited when buyers ask AI for options.
A growing share of your buyers never see a search results page: they ask an AI and take the answer. This use case tracks whether you're in those answers, finds the phrases where you're not, and runs the content work that gets you cited.
- →The questions your buyers actually ask, checked across major AI engines on a schedule
- →Every citation tracked: where you're named, where competitors are, where nobody is
- →Gap analysis turned into drafted content that earns the citation, approved by you before publish
- →Community answers built as citation sources, posted by you with disclosure
- →Movement reported weekly: phrases won, phrases lost, and what changed it
From setup to outcome.
Phrase list confirmed
Setup proposes the questions your buyers ask; you edit and confirm. The list stays yours to change.
Engines checked
Each phrase runs against the major AI engines on schedule; answers and citations are recorded as evidence.
Gaps become drafts
Uncited phrases get content drafted to win them, structured the way AI answers actually quote.
Movement reported
A weekly note: current standing, changes, and what's queued next.
Ask an AI about outbound automation. We're working on being the answer.
Our own citation board runs on the same checks, and the phrases we win show up as inbound. The dogfood is the demo.
Before you ask.
Is this just SEO with extra steps?+−
No. AI engines quote differently than search ranks: structure, directness, and citable claims matter more than backlinks. The two use cases pair well but do different work.
Which engines are covered?+−
The major consumer AI engines your buyers actually use. The set updates as usage shifts; you see per-engine results either way.
How fast do citations move?+−
Weeks, not days, and it compounds. Early wins usually come from phrases where nobody is cited yet, which the gap analysis prioritizes first.