The most common marketing phrases generated by ChatGPT are now so overused they cause a 15% drop in audience engagement. Marketers must use a follow-up prompt to 'un-AI' the content, specifically telling the tool to remove generic phrases, corporate tone, and predictable language to regain authenticity.
When prompting ChatGPT for scripts, add a final instruction: "tell me why that script should be engaging." This forces the AI to evaluate its own output against strategic goals, leading to better, more thoughtful suggestions and helping the creator understand the underlying strategy.
The massive increase in low-quality, AI-generated prospecting emails has conditioned buyers to ignore all outreach, even legitimate, personalized messages. This volume has eroded the efficiency gains the technology promised, making it harder for everyone to break through.
While businesses are rapidly adopting AI for content creation and communication, Gen Z consumers have a strong aversion to anything that feels artificial or inauthentic. If this demographic can detect AI-generated content in sales or marketing, they are likely to ignore it, posing a significant challenge for brands targeting them.
Leverage AI in email marketing not to replace your voice, but to augment it. Use tools like ChatGPT as a brainstorming partner to generate angles and outlines. This frees up your creative energy to focus on infusing the content with personal stories and genuine connection that only a human can provide.
AI-generated text often falls back on clichés and recognizable patterns. To combat this, create a master prompt that includes a list of banned words (e.g., "innovative," "excited to") and common LLM phrases. This forces the model to generate more specific, higher-impact, and human-like copy.
As AI floods the internet with generic content, consumers are growing skeptical of corporate voices. This is accelerating a shift in trust from faceless brands to authentic individuals and creators. B2B marketing must adapt by building strategies around these human-led channels, which now often outperform traditional brand-led marketing.
Simply using one-sentence AI queries is insufficient. The marketers who will excel are those who master 'prompt engineering'—the ability to provide AI tools with detailed context, examples, and specific instructions to generate high-quality, nuanced output.
To avoid robotic content, use “humanization prompting.” This involves uploading transcripts of your natural speech (from interviews or voice notes) to a custom GPT’s knowledge base, training it to adopt your unique cadence, vocabulary, and style.
Many companies fail with AI prospecting because their outputs are generic. The key to success isn't the AI tool but the quality of the data fed into it and relentless prompt iteration. It took the speakers six months—not six weeks—to outperform traditional methods, highlighting the need for patience and deep customization with sales team feedback.
AI should not be the starting point for creation, as that leads to generic, spam-like output. Instead, begin with a distinct human point of view and strategy. Then, leverage AI to scale that unique perspective, personalize it with data, and amplify its distribution.