You're tracking 20 prompts about marketing consulting. But who is actually asking these questions? A startup founder evaluating their first hire? An e-commerce brand looking to switch agencies? A marketing manager building a case for an external consultant?
Each of these people asks differently, evaluates differently, and needs different content to be convinced. If you don't know who's behind the prompts, your content strategy is guessing.
Personas built from your data
Mentionable lets you create audience personas directly from the AI chat agent. Instead of building fictional profiles from assumptions, the agent analyzes your actual tracking data: the prompts you track, the types of queries they represent, the competitor landscape, and the source citations LLMs reference.
The result is a persona grounded in reality. Not "Marketing Mary, 35, likes yoga" but "Early-stage startup founder evaluating their first marketing consultant, comparing 3-5 options across AI platforms, prioritizing case studies and pricing transparency."
Creating personas through chat
Persona creation happens naturally in the AI chat agent. You might be discussing your visibility gaps, and the conversation leads to "who is asking these prompts?"
Ask the agent: "Create a persona based on the people asking my tracked prompts." The agent examines your prompt list, identifies the intent patterns, checks what competitors target similar audiences, and generates a detailed persona profile.
You can refine the persona through follow-up questions: "Make this more specific to freelancers" or "Add information about their budget range." The agent updates the persona based on your feedback and saves it to your project.
How personas improve your strategy
Knowing who asks your tracked prompts changes how you create content and position your brand.
Content targeting: if your persona is a technical CTO evaluating tools, your content should include benchmarks, architecture details, and integration documentation. If your persona is a non-technical founder, the same content should focus on outcomes, ease of use, and ROI.
Prompt selection: personas help you evaluate whether you're tracking the right prompts. If your persona is budget-conscious, prompts about "affordable" or "best value" tools might matter more than "enterprise-grade" queries.
Positioning clarity: LLMs recommend brands whose positioning matches the query intent. If your persona wants simplicity and your homepage talks about "comprehensive enterprise solutions," there's a disconnect that personas help you see.
Stored and reusable
Personas are saved to your project and persist across conversations. When you start a new chat session and ask for content recommendations, the agent can reference your existing personas to give more targeted advice.
Over time, your persona library builds a richer picture of your audience. Different personas might target different prompt clusters, helping you understand which audience segments you serve well and which you're missing.
Try it yourself
Start your 7-day free trial and create your first audience persona from your tracking data. The AI chat agent generates personas grounded in your actual prompts and competitive landscape. No credit card required.
Related articles
- AI Chat Agent - the conversational interface where you create and refine personas.
- Automatic Prompt Generation - the prompts that reveal your audience's questions.
- Content Opportunities - content gaps filtered through your persona's lens.