Sales automation is booming. But while many tools focus on quantity, they often lose sight of the most important thing: authentic communication. In the interview, our colleague and linguist Selin explains how we at DealEngine manage the balancing act between efficiency and naturalness.

DealEngine: Selin, you check the linguistic quality of our automated outbound campaigns. Why is that necessary?

Selin: Because AI-generated texts often have patterns that are immediately noticeable. Certain phrases, recurring terms, or this typically "smooth" tone. The problem: decision-makers have become aware of this. If your outbound message sounds mass-produced, the response rate is correspondingly low.

Is AI in text creation fundamentally problematic?

Selin: Not at all. AI is fantastic for scaling and first drafts. But it tends to fall into "safe" language patterns. Clichés like "innovative solutions" or "optimal results" – such terms are used by almost everyone. That makes texts interchangeable.

How do you recognize if a text sounds too much like AI?

Selin: Several indicators: overly complex sentence structures where simple ones would suffice. Terms that nobody would use in a normal conversation. Or this typical "enthusiasm language" – everything is "exciting," "impressive," or "revolutionary." Real people speak more directly.

The DealEngine approach: Automation with linguistic fine-tuning

How does the quality process at DealEngine work specifically?

Selin: We have developed a four-stage process:
Stage 1: The AI creates a rough draft based on the lead profile and campaign logic.
Stage 2: DealEngine automatically filters according to our specifications – no jargon words, no standard clichés.
Stage 3: I perform spot checks and verify linguistic consistency.
Stage 4: Continuous learning through campaign feedback – the system improves with each iteration.

What happens if you find that texts sound too "robotic"?

Selin: Then I intervene. I replace complicated formulations with simple ones, eliminate unnecessary adjectives, and ensure that the tone remains authentic. Often, it just takes rearranging a sentence or replacing a word.
Example?
Selin: Instead of "We would like to introduce our innovative software solution that optimizes your sales processes," we write: "Are your sales data confusing? We bring structure to it." More direct, concrete, human.

Science meets sales practice

You bring a linguistic perspective. What insights are incorporated into the texts?

Selin: I pay attention to psycholinguistic aspects: How does the brain process information? Short sentences are understood faster. Concrete terms stick better than abstract ones. And: People respond more strongly to problems than solutions – that's why we often start with the pain point.

Are there linguistic "triggers" that work particularly well?

Selin: Yes, but not the ones you would expect. Instead of "revolutionary," "simple" works better. Instead of "maximize," just use "increase." People trust down-to-earth language more than superlatives.

How do you ensure that the style remains consistent?

Selin: We develop individual guidelines for each client – a kind of tailored style bible. There we define exactly how the company should communicate: which terms fit the brand, what tone is desired, how formal or casual the address should be. These client-specific guidelines continuously feed into the system.

Why linguistic quality brings measurable results

Can the impact of linguistic quality be measured?

Selin: Absolutely. We have conducted A/B tests: Messages with our linguistic fine-tuning had a 23% higher response rate than the AI rough drafts. This shows: Authenticity pays off directly.

What is the biggest mistake companies make with automated sales texts?

Selin: They only focus on the quantity. Sending out 10,000 messages sounds impressive – but if only 0.5% respond because the texts are boring, you've gained nothing. Better: 1,000 qualitative messages with a 3% response rate.

Where do you see the future of automated communication?

Selin: AI will get even better at generating natural language. But the human quality filter remains important. Machines do not yet understand context and nuances perfectly. A linguist recognizes what works and what doesn't.

The DealEngine difference

What makes DealEngine different from other automation tools?

Selin: Most tools think: "More is better." We think: "Resonance is better." Our AI does not just generate mass messages but considers linguistic quality from the start. This leads to higher acceptance among leads and better conversion rates.

Your tip for companies looking to automate sales?

Selin: Don't forget the human behind the technology. AI is a powerful tool, but it needs guidance. Invest in linguistic quality – your response rates will thank you.

➡️ Do you want to learn how DealEngine connects linguistic authenticity with sales efficiency? Talk to our team about your individual requirements.