Personas

In Genezio, a persona represents the type of user who might ask questions about a brand when interacting with an AI assistant.

Personas help simulate realistic conversations by defining who is asking the questions, where they are located, and what language they use.

Every persona belongs to a specific brand, and each topic is associated with a persona. This ensures that AI conversations are generated from the perspective of the brand's real customers.

What a Persona Represents

A persona describes a typical user or buyer for the brand being analyzed.

For example, a persona might represent:

• a startup founder looking for CRM software
• a marketing manager searching for automation tools
• a runner researching marathon training shoes

By modeling the user behind the question, Genezio can generate conversations that more closely resemble real interactions with AI systems.

Persona Attributes

Each persona includes several attributes that influence how conversations are generated.

Brand Association

Every persona belongs to a specific brand.

This means the persona represents a typical customer or user of that brand's products or services.

Example:

• Brand: HubSpot
• Persona: Startup founder managing sales and marketing

Language

Each persona speaks a specific language.

This determines the language used when Genezio runs conversations with AI systems.

Example:

• English
• Spanish
• French

The conversation prompts, responses, and analysis are performed in that language.

Location

Each persona is also associated with a country and city.

When Genezio runs AI conversations, they are executed as if the user were located in that specific place.

This helps simulate realistic conditions because AI systems may adapt answers based on geographic context.

For example:

• Country: United States
• City: San Francisco

or

• Country: Germany
• City: Berlin

Location can influence recommendations, available products, regulatory context, or regional preferences.

Persona Impersonation During Conversations

When Genezio interacts with an AI system, it acts as the defined persona.

This means Genezio generates prompts and follow-up questions as if it were that user. The system effectively impersonates the persona when talking to the answer engine.

For example, if the persona represents:

• a startup founder
• located in San Francisco
• speaking English

then the conversation with the AI assistant is written from that perspective. The questions, tone, and context reflect how that specific user might ask for recommendations or information.

This approach helps ensure that the responses generated by AI systems reflect realistic user behavior rather than generic test prompts.

How Personas Are Used in Genezio

Personas influence how topics and scenarios are executed during AI conversations.

The process works as follows:

1. A brand defines one or more personas.
2. Each topic is associated with a persona.
3. Scenarios are generated based on that topic and persona.
4. Genezio runs conversations with the AI system while impersonating the persona.
5. The conversation uses the persona's language and geographic context.

This approach ensures that conversations reflect how real users from specific markets might interact with AI systems.

Example

Consider a brand that sells CRM software for startups.

A persona might look like this:

• Persona: Early-stage startup founder
• Language: English
• Country: United States
• City: San Francisco

A topic associated with this persona might be:

CRM tools for startups

When Genezio runs conversations for this topic, the AI system receives prompts that simulate a user in San Francisco asking questions in English about CRM solutions.

Example: Different Personas for the Same Brand

Personas are especially important when the same brand serves different types of users.

For example, consider a bank that offers debit cards.

Two personas might interact with AI systems very differently:

Persona 1 - Teenager (15 years old)

• Goal: get a debit card connected to their parents' account
• Language: informal, simple
• Questions might look like:

Can I get a debit card if I'm 15?
Is there a card for teens connected to my parents account?
Which banks offer debit cards for teenagers?

Persona 2 - Adult (40 years old)

• Goal: open a new personal bank account
• Language: more direct and financial
• Questions might look like:

What bank offers the best checking account?
Which banks have good debit cards and mobile apps?
What are the fees for opening a new bank account?

Both personas may interact with the same brand and similar products, but the way they ask questions-and therefore how AI systems answer-can be very different.

Modeling personas allows Genezio to capture these differences and simulate how AI systems respond to different types of users.

Creating a Persona From a Document

If you already have persona research documented somewhere — a buyer-persona document, an internal customer-research deck, a job description, or anything else that describes who your customers are — you can upload it and Genezio will generate a persona from it automatically.

This is the fastest path to a usable persona, and it's the recommended starting point for teams who:

• already maintain persona documents in a research repository or marketing collateral
• have customer-research output from a CRM, customer success tool, or sales discovery process
• want to get started without filling out a multi-field form from scratch

How It Works

Upload the document on the persona creation screen. Genezio reads it and generates a persona — name, role, country, city, language, and supporting context — based on what's in the document. The persona is saved immediately as a real, usable persona for the brand. You can edit it afterwards like any other persona if anything needs tuning.

Each upload generates one persona. If your document describes several distinct personas, upload it separately for each one (or split the doc).

Why This Matters

Building good personas is the single biggest blocker to getting meaningful results out of the platform. A weak persona produces weak conversations, which produce weak insights. Starting from a real document — one that already encodes how your team thinks about a customer segment — gets you to a useful persona in one step, instead of asking a non-research team to write something convincing into an empty form.

For customers who already have persona research, it's effectively a one-step import.

Managing Personas

Genezio makes it easy to keep personas organized and portable:

• Export personas — you can export all of your personas at once, or export a specific persona on its own, which is useful for sharing persona definitions or keeping them alongside other research.
• Summary field — each persona can carry a summary that captures, at a glance, who the persona is and what they care about.
• Consistent country list — persona creation uses a consistent country list, so locations are standardized across every persona. Personas are then generated and used in the persona's own language and location, keeping conversations grounded in the right market.

Why Personas Matter

Personas allow Genezio to simulate realistic discovery scenarios.

Different users may ask different questions depending on:

• their role
• their goals
• their market
• their language

By modeling these factors, Genezio can better represent how AI systems respond to real-world users.

Next Steps

To learn how personas connect to other parts of the analysis, see:

• Core Concepts -> Scenarios
• Core Concepts -> Conversations

These pages explain how Genezio uses personas to generate the AI conversations used to measure visibility.