See who AI models cite instead of you
Every AI answer recommends someone. Aivius shows you exactly which competitors get cited, how often, and which sources AI models trust for them — so you can reverse-engineer their strategy and take back share of voice.
Your share of AI voice, at a glance
Below is a mock competitor benchmark for a hypothetical SaaS brand. Your real dashboard updates daily across 9 AI models.
Share of AI voice — "project management tool" prompts
Reverse-engineer how competitors win
It's not enough to know competitors are winning. Aivius shows you exactly how — so you can copy what works and close the gap.
Which sources power them
See the exact URLs AI models cite when recommending each competitor — their blog, G2 reviews, Reddit threads, Wikipedia, or news coverage. That's their citation portfolio.
Which content earns citations
Identify the content formats competitors use to win AI citations — comparison pages, definitive guides, listicles, original research. Then build your own versions that are more comprehensive.
Where you're gaining or losing
Track share of voice week over week. Spot the moment a competitor launches content that steals your citations — and respond before the gap widens.
From insight to action
When Aivius spots a competitor gaining citations from a specific source (say, G2 category pages), we don't just flag it — we add "build presence on G2" to your optimization checklist. That's the closed loop most tools miss.
Three steps to take back share of voice
Add competitors
Add up to 20 competitors (Pro: 5, Agency: 20). We automatically start tracking their citations across all 9 AI models alongside yours.
Benchmark & diagnose
See your share of voice per prompt, per engine. Drill into the exact sources powering each competitor — URLs, content type, and citation frequency.
Act & re-measure
Each gap becomes an action on your optimization checklist. Execute, then watch your share of voice climb week over week as the loop repeats.
Find out who AI recommends instead of you
Starter includes 1 competitor. Pro benchmarks 5 across all 9 AI models. Agency tracks 20 with white-label reports.