Excerpt

Introduction to Excerpt

Excerpt is a content repurposing platform designed for B2B founders and professionals who rely on LinkedIn and other channels as primary sales and credibility tools. It transforms podcast appearances, webinar recordings, or uploaded transcripts into verified, platform-specific content assets—such as LinkedIn posts, X (Twitter) threads, newsletter drafts, and blog outlines—each grounded in source material with traceable evidence. The product addresses the operational and reputational risks associated with AI-generated content that lacks verifiable sourcing.

Unlike generic AI tools, Excerpt prioritizes accountability by linking every generated claim directly to its origin in the source audio or transcript. It is built specifically for users whose professional reputation depends on factual accuracy—including founders, subject-matter experts, and marketing practitioners who regularly appear on third-party shows or host webinars.

Key Takeaways

• Click-to-verify proof: Every generated quote includes a timestamp-linked reference to the original audio or transcript, enabling one-click playback and contextual verification
• Voice-matched output: The system learns from users’ existing content (e.g., past LinkedIn posts, newsletters, recordings) to replicate tone, sentence structure, vocabulary, and call-to-action style
• Multi-platform asset generation: A single upload produces 10–30 tailored assets across LinkedIn, X, email newsletters, and blogs—all with embedded source citations
• Distribution planning: Converts each episode into executable 7-, 14-, or 30-day distribution plans with drafts pre-configured for timing and channel
• Confidence scoring: Provides transparency into AI output reliability with confidence indicators for generated claims
• Speaker attribution and contextual preservation: Maintains speaker identification and surrounding dialogue to prevent misrepresentation
• Export bundles and bulk processing: Supports downloadable asset packages and efficient handling of multiple recordings

How Excerpt Works

The workflow consists of four sequential steps: First, users upload a podcast episode, webinar recording, or transcript. Second, they configure preferences—including target platforms, voice profile settings, and distribution timeline. Third, the AI generates platform-specific drafts, each annotated with timestamped source links and speaker attribution. Fourth, users review drafts by clicking timestamps to instantly jump to the corresponding moment in the original audio, verify wording and context, and make edits before publishing.

Underlying this process is a dual-layer verification architecture: linguistic grounding ensures all claims derive from verbatim or closely paraphrased segments of the source, while temporal anchoring ties each output to a precise point in the recording. The system also incorporates iterative voice learning—refining output style based on user edits over time.

Core Benefits and Applications

Excerpt reduces manual verification time from approximately 30 minutes per post to under 5 seconds per claim, mitigating both operational overhead and reputational risk. It enables consistent, high-fidelity repurposing of earned media—such as guest appearances—into owned-channel content without compromising accuracy. Practical applications include accelerating LinkedIn thought leadership campaigns, supporting sales development through credible social proof, maintaining brand voice across distributed content, and scaling content operations for teams or agencies. Its proof-backed approach is especially valuable in regulated or high-stakes domains where factual precision directly impacts trust and conversion.

Overage is billed at $6 per additional content-hour. All plans include Proof Mode, voice profiles, and export bundles.