Best practices for AI content generation

AI-generated copy works best when you give it clear inputs and then refine the output. These practices help you get consistent, on-brand results.

Be specific about product and audience

Instead of “our product” or “everyone,” describe the product and the audience in one or two sentences. For example: “B2B project management tool for remote teams” and “Marketing leaders at mid-size companies” produce more relevant headlines and CTAs.

Choose the right platform and content type

Select the actual platform (e.g. Google Ads, LinkedIn) and content type (Ad, Post, or Email). Athenous applies character limits and format hints so the output fits the channel.

Use tone to steer voice

Pick a tone (Professional, Friendly, Urgent, etc.) that matches the campaign. You can also add a short note in the product field, e.g. “Keep it minimal and benefit-led.”

Review and tweak before publishing

Treat AI output as a first draft. Check facts, brand terms, and compliance, then edit as needed. Combining AI speed with human review keeps quality high.