Pressure-test your earnings script before the transcript gets parsed
Prepared remarks and guidance are transcribed, aggregated, and summarized by AI within minutes of the call. LyraMind scores your script for the hedges and polarity flips that get misread, and predicts the questions the room will ask.
The problem
Earnings call language is where hedging concentrates: soft guidance, 'we expect,' 'approximately,' 'we remain confident despite.' The transcript is machine-read almost immediately, and a hedged sentiment flip in the guidance paragraph can be summarized with the wrong polarity. You want to know that before you are on the line, not after.
How LyraMind does it
Paste the prepared remarks (and any Q&A prep). LyraMind scans the language for hedging density, quantification, sentiment stability, and structure, then runs the synthetic institutional panel to surface where a macro allocator, a quant, or a credit analyst would each get confused, and the questions each would ask.
What you get
A legibility verdict on the script, the specific lines to firm up before you read them aloud, consensus comprehension across the panel, and a ranked list of predicted questions to rehearse. The demo runs on the text you paste; your own remarks work the same way.
- Paste prepared remarks and Q&A prep
- Legibility scored across six language factors
- Panel consensus comprehension and per-archetype blind spots
- Predicted questions the remarks will trigger, ranked
- Flagged guidance lines with rewrites
- Rehearse answers before the live call
Questions
Is a call script a filing?
No, but it is public text that gets machine-read the same way. The legibility engine works on any disclosure-style text, so prepared remarks and guidance paragraphs scan cleanly.
Can it predict the actual analyst questions?
It predicts the questions the language leaves open, derived from which legibility factor each synthetic archetype finds weak. It is a preparation aid, not a forecast of who will ask what.
Does it help with the live Q&A?
Indirectly. The predicted-questions list and per-archetype blind spots tell you where the script invites follow-ups, so you can prepare answers in advance.