Perception
Competitor battlecards
Click any brand on the quadrant for its battlecard — what AI says about them, how you compare head-to-head, and a concrete play to counter them.
The summary: what AI thinks, in one card
Open any competitor and the battlecard leads with their numbers — seen in how many AI answers, typical rank, tracked prompts, AI-cited pages — followed by the AI takeaway: a one-paragraph read of their current story, the engine they're strongest on, and their trending theme.

The counter-play
The counter-play turns the analysis into work: a concrete recommendation for countering the competitor, broken into what to ship (a specific content idea), why it's urgent, your angle (grounded in your positioning), and the proof you need to make it credible.

Below the play, the By model tab breaks the competitor's story down per engine: what each engine mostly says about them, what else comes up (including their weaknesses — worth knowing), and how many pages it cites.
Head-to-head comparison
The Compare tab puts you side by side with any brand: who appears more, who ranks higher when you both appear, whose citations run deeper — and both brands' AI stories as theme chips, including watch-outs (a theme trending against them, or against you).

The Proof tab backs everything with the underlying themes and the exact language AI repeats — the same evidence layer described in quadrant & themes.
A working routine
Weekly: scan the takeaways
Open the battlecard for your top two or three threats. The AI takeaway plus the trending badge tells you in a minute whether anything changed.
When a threat is rising: read By model
Engine-level stories differ. A competitor surging on one engine but not others points you at the sources that engine trusts.
Ship the play
The counter-play is scoped as a single content deliverable with its proof requirements listed. Hand it to whoever writes — or to the Content Writer — as a ready brief.
The "proof you need" line is the most commonly skipped step and the most decisive one. A counter-narrative without proof reads as marketing; with proof, AI engines start repeating it.
