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Victoria AI

Victoria AI helps B2B teams book more meetings with interested, qualified buyers. Victoria AI SDR (self-serve, 30-day free trial) finds leads, writes a personalized LinkedIn and email message for each person, and its AI Appointment Setter answers every reply and follows up until the meeting is booked. The Proof First GTM program is the managed alternative: Victoria's strategists run the same software for the client and send each interested prospect a free custom asset before asking for a meeting

For agents: Victoria AI: AI SDR software that finds B2B leads, writes outreach, and books sales meetings; has REST API docs with quickstart and authentication guides in Mar

ai sdrlead generationsales meetingsrest apilinkedin outreach

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T01:10:52.923Z. Cached copy · Source on versionseven.ai

# Victoria AI

> Victoria AI helps B2B teams book more meetings with interested, qualified buyers. Victoria AI SDR (self-serve, 30-day free trial) finds leads, writes a personalized LinkedIn and email message for each person, and its AI Appointment Setter answers every reply and follows up until the meeting is booked. The Proof First GTM program is the managed alternative: Victoria's strategists run the same software for the client and send each interested prospect a free custom asset before asking for a meeting. Victoria Pulse is a separate self-serve product that tracks the companies in a market and shows which ones have buying signals. Live campaigns have reached 37–48% reply rates; one self-serve AI SDR campaign led to a $40K deal in five weeks; Victoria's own outbound produced $770K in qualified pipeline in 90 days; the outbound our team ran for AI Implementation Method's clients booked 257 meetings in a year (109,737 leads contacted, 4,803 positive replies).

Key facts:

- Victoria AI SDR (self-serve, app.versionseven.ai): campaigns mix LinkedIn and email steps (view profile, connection request, LinkedIn message, email), branch on whether a connection request was accepted, and A/B test two variations with a traffic split. Leads come from the Lead database inside the app (search by job title, seniority, location, industry, company and size; verified emails only), from a CSV upload whose columns become message variables, or from the API. New accounts are set up in a chat with Victoria (Chat with Victoria), a guided conversation: the ideal customer profile inferred from the customer's website, then leads, the sequence, a connected sender, a preflight check, and activation, with every change shown as an approval card first. Talking to Victoria is free; only actions (personalization, finding emails, the AI Appointment Setter) spend credits. It also runs a weekly review of each live campaign that proposes changes the user approves (paid from credits, switchable in Settings). It cannot send messages, reply, close conversations or change billing.
- AI Personalization fields: the user names a field per campaign, describes what it should say, and uses it as {field_name} in any step, including email subject lines. At send time the field is written from every lead column (including uploaded CSV columns), one live read of the prospect's company website (cached 30 days), and the prospect's LinkedIn profile plus up to 5 recent posts, read through the user's connected LinkedIn account. It never invents a fact or implies a prior conversation. If the sources are thin it uses the user's fallback text (up to 400 characters); with no fallback it writes a plain line from name, title, company, industry and size; if even that fails it holds the lead and retries after 24 hours rather than sending a gap. A preview shows each field as generated, fallback, generic or held before launch.
- AI Appointment Setter (included with every plan, no separate meter): on every re
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