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To prevent generic "AI slop" in scaled campaigns, provide Claude with high-quality inputs like customer conversations from CRM emails and sales call transcripts (e.g., from Fathom). This ensures the generated content reflects the true voice of your customer.
Don't let an AI agent generate sales copy from scratch. The key to creating high-quality, effective outreach is to train the model using the proven email templates and scripts from your highest-performing salesperson. This provides a strong baseline for the AI to iterate and test from.
Generic AI copy is poor because LLMs learn from the internet's vast, low-quality content. The key to effective AI-generated copy is training it on a user's specific values, personality, and brand voice, moving beyond generic prompts to create something that resonates authentically with a target audience.
To create resonant content, move beyond guessing customer problems. Analyze transcripts of past sales calls with an AI tool to identify recurring pain points, common questions, and the exact language your audience uses to describe their challenges.
Instead of guessing customer questions, tap into sales call recordings. Using AI tools to analyze transcripts reveals common themes, objections, and the exact language customers use. This provides a rich, data-driven source for creating highly relevant AEO content.
Your best stories are often hidden in conversations with clients. Upload call transcripts to an AI like Claude or ChatGPT and prompt it to extract powerful stories and impactful anecdotes. This is an efficient way to generate authentic, relevant content ideas you may have forgotten.
Instead of guessing at marketing copy, build an AI model of your ideal customer. By feeding it internal data like call transcripts and external data like forum posts, this "digital twin" can review and rewrite your marketing materials using the customer's exact language.
Instead of prompting an AI to generate a full article, which often results in 'slop,' a better approach is to use it as an assembly tool. Feed the AI granular, pre-vetted pieces of unique business intelligence (like sales data or expert insights) to construct a higher-quality output.
Instead of brainstorming in a vacuum, upload raw transcripts from recent sales calls into a pre-loaded AI project. This provides the AI with the exact language, frustrations, and goals of your target customers, enabling it to generate highly relevant and authentic ad campaign ideas.
Multiply's hybrid AI-human agency goes beyond generic LLM prompts by connecting directly to a B2B company's proprietary data sources, like sales call recordings. This allows it to identify specific customer pain points and value props to create highly relevant, self-learning ads that are impossible to generate from public data alone.
For superior AI-generated content, create a persistent knowledge base for the model using features like Claude's "Projects." Uploading actual sales call transcripts and customer interviews trains the AI on your specific customer's voice and pain points, resulting in more authentic and targeted marketing copy.