Run candidate keynotes, conference remarks, and public positioning statements against simulated audience cohorts. See which sentences will be quoted, which will be misquoted, and which will become the day-after headline.
CEO speeches and public positioning statements are some of the most consequential communications an enterprise produces — every keynote at Davos, every Code Conference appearance, every NYT profile, every shareholder letter, every podcast interview. The audience for each one is heterogeneous: customers who set buying intent based on the executive's confidence, investors who weight every line for strategic signal, employees who internalize the framing as company direction, the press who will lift the most quotable sentence into tomorrow's headline, and the policy community who scrutinize the company's positioning on regulation, competition, and societal impact. Isaiah simulates each cohort's reaction to candidate speech drafts before delivery, so the chief of staff, the executive's communications team, and the speechwriter can refine the language with evidence about which lines will land, which will be misquoted, and which will become the unintended headline.
Set up the cohorts that will engage with the speech: top customer segments by exposure to the announcement, top institutional and retail investor cohorts, employee constituencies (by tenure, function, geography), the press tiers covering the venue and the topic (general business press, sector trade press, opinion press, podcast circuit), the policy community on relevant topics, and (when relevant) the competitor archetype most likely to weaponize the speech.
Paste the prepared remarks, the slide content if applicable, the cleared talking points, and the planned Q&A handling. Optionally include the venue context, the strategic intent of the appearance, and any sensitivities the executive needs to navigate.
Isaiah simulates thousands of reactions per cohort. You see which lines each cohort will quote as evidence of the company's position, which will be misquoted, which sentences are most likely to get pulled into the day-after headline, and which will surface as the conference-circuit talking point for the next month.
Refine the language. Re-run. Compare versions. Make the trade-offs explicit between the line that lands best with customers and the line that lands best with investors. Build the speechwriter's annotation map showing which sentences are doing which work for which audience.
Isaiah projects the post-speech dynamics: which sentences will go viral on which platform, which podcast or follow-up interview will probe which line, which competitor or industry observer will publicly respond, and which internal Slack channels will react. Pre-write the surrogate-team talking points and the executive's likely follow-up media engagements during the speech preparation window.
Catch the unintended headline before the press writes it. The line legal cleared and comms approved that, in hindsight after delivery, was the obvious headline waiting to happen.
Surface the audience-asymmetry trade-off explicitly. The phrase that lands best with customers may be the phrase that confuses investors; the simulation makes the trade-off legible to the executive team rather than discovered after.
Build the speechwriter's annotation map showing which sentences are doing which work for which audience. Useful for both this speech and the speechwriter's institutional memory across future speeches.
Pre-write the surrogate-team talking points so the company's spokespeople aren't drafting reactive talking points after the executive's keynote sets the framing.
Maintain a stakeholder cohort library that compounds across executive appearances — Davos, Code, Web Summit, the All-In podcast, the Bloomberg interview — so the next speech inherits the cohort intelligence from the last one.
A great speechwriter brings craft, voice, and judgment about what an executive can deliver well. Isaiah doesn't replace that — it adds a simulation layer underneath. The speechwriter writes the speech; Isaiah pressure-tests the candidate draft against simulated audience reactions. Many of our enterprise customers use Isaiah alongside their speechwriter; the speechwriter incorporates the simulation findings into the next iteration.
Yes — that's one of the most consistent payoffs. Most speeches have a sentence the speaker considers minor that the press will pull as the lead. Isaiah's headline-risk surfacing identifies which sentences each press tier is most likely to quote, lead with, or misquote, before delivery. The speechwriter can either rewrite the line, lean into it intentionally, or pre-prepare the surrogate response.
Yes. Conversational venues (podcasts, fireside chats, on-stage Q&A) and prepared-remarks venues (keynotes, shareholder letters, formal addresses) have different audience dynamics. Isaiah configures the simulation differently for each venue type — for conversational settings, it surfaces the question dynamics and the executive's likely improvised responses to follow-ups.
The simulation runs without requiring the executive's time. Isaiah can rehearse multiple drafts and surface the simulated cohort reactions before the executive sees a draft, so the executive's limited rehearsal time is spent on the version that has already been refined against the audience. Many executives use the simulation findings as their primary briefing rather than reading multiple draft iterations.
Pre-delivery speech drafts are confidential — they often contain unannounced strategic positioning, M&A signals, or sensitive policy positions. Isaiah supports cloud SaaS, dedicated VPC, on-premise, and air-gapped deployments. The drafts can be rehearsed inside the same security perimeter as the executive's chief-of-staff workflow tools. Explicit permission scopes per user, full action logs.
An enterprise pilot starts with a single upcoming high-stakes speech — typically a keynote, an investor day, a major podcast, or a public positioning statement — and a defined set of audience cohorts. Pilot typically runs in 2–4 weeks including security review and cohort design. Start at huper.technology/engage and the founding team responds within one business day.
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