Target Real Audience Queries with Persona-Based Prompt Generation

TABLE OF CONTENTS

    When search was solely based on Google, personas were often treated as a nice-to-have. Keywords can be neatly matched with intent.

    In AI search though, personas can be a vital tool for understanding holistically how your brand appears, and how to tailor your narrative as different audiences think, search, and decide.

    Prompts can go into remarkable detail. These can express so much more than what the person wants. They might say exactly who the person searching is and the constraints they're operating under.

    The problem is: Brands face limitations in defining their prompt sets. Often these are based on instinct and what users might ask, not how different audience segments actually frame their questions.

    Semrush Enterprise AIO's new Persona-Based Prompt Generation helps to solve this.

    Now teams can identify and track prompts tailored to their key audiences and their requirements. Then, they can shape their content and brand narrative in response. This ensures an AI visibility strategy that reflects and answers your market comprehensively.

    Why Personas Aren’t a Nice-To-Have

    In the world of search engines, you aimed to rank a page that matched the keyword and intent behind it. Your brand would earn visibility, get the click, and fulfill the intent. Personas were helpful but in many cases optional.

    In the growing world of AI SEO, prompts can be much more informative of the person searching. Marketers aren't just optimizing for search intent or demographics anymore but also optimizing for behavior and deeper preferences.

    For example, if a person prompts ChatGPT something like "I'm an email marketing manager at a mid-sized charity. Can you draft a checklist for evaluating new CRM vendors, making sure they cover GDPR regulations and cost under $10K a year." then ChatGPT would have background information about the user's profession, industry, general compliance needs, budget ceilings, and preferred content formats.

    While not all prompts provide this level of depth, any extra additional information can unlock more targeted messaging. With an understanding of where and how your brand shows up for key personas, you can show up more often, better answer the real queries of your audience, and ultimately be selected more.

    The challenges that teams face

    It can take significant time and effort to create personas, and even then, they may be static PDFs that aren't naturally embedded into your workflows.

    But skipping person-based tracking in AI search creates risks:

    • Volume without variety
      Teams might generate hundreds of prompts, but they all reflect the same or very similar perspectives, not the diverse audience that are really using LLMs.
    • Intent without context
      Key situational factors that form the basis of queries can be missed. Experience levels, budget constraints, decision-making priorities, or where they are in the buying journey are all vital but easily overlooked.
    • Coverage without confidence
      Without persona-aligned prompts, brands can't accurately assess whether their content resonates across different audience segments. You might perform well for expert-level queries but completely miss beginners, or capture price-flexible searchers while losing budget-conscious prospects.

    However, with Semrush Enterprise AIO, brands get added direction that helps to mitigate these factors.

    The Advantages of Persona-Based Prompts

    Semrush Enterprise AIO's Persona-Based Prompt Generation capabilities empower brands to implement high-quality prompt tracking, and better optimize their narratives for different key audiences.

    Teams can now add multiple characteristics and better tailor their prompts around important segments, then zoom into how these different groups types think, search, and ask questions.

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    AIO then draws from Semrush's market-leading search database to suggest the most relevant and meaningful prompts, giving brands .

    The benefits flow on across SEO, content, and brand:

    • Time-consuming manual prompt definition is replaced by scalable prompt generation, enabling teams to launch detailed tracking faster without sacrificing quality or relevance.
    • Messaging can become more proactive and address specific concerns and priorities of different experience levels and buying stages.
    • AI visibility tracking becomes more accurate with prompt coverage for motivations, budget profiles, and experience levels revealing not just whether you're visible, but to whom.

    How to Continue Refining Prompts and Personas

    Persona-Based Prompt Generation removes much of the manual effort from identifying prompts, but tracked prompts can be continually validated, expanded, or grounded in real customer language over time.

    Here are some starting points and tips for translating insights into further prompts for tracking.

    1. Sales calls and customer success notes

    Your sales and customer success teams document some of the clearest signals you’ll ever find. Call transcripts, discovery notes, renewal conversations, and onboarding feedback can all surface:

    • Goals from your real customers
    • Triggers that lead to wider evaluation or switching
    • Blockers that delay decisions
    • Key decision criteria

    The best part? These notes are straight from the source and all framed in your customer’s own language.

    Analyzing these materials helps you to find patterns that mirror how your buyers actually think and ask questions. Instead of guessing at phrasing, you can model prompts on real objections, comparisons, and validations that are already proven.

    2. Reddit and social media

    Community discussions show natural language through the lens of real experiences. Reddit threads, LinkedIn comments, and niche forums are where buyers:

    • Compare tools without vendor pressure
    • Validate claims made on websites or in demos
    • Share lived experiences (good and bad)

    These conversations are especially valuable for identifying the brands, domains, and sources users trust enough to mention when asking for, or giving, advice.

    3. Feedback and surveys

    Direct touchpoints like post-signup or post-purchase surveys are ideal for uncovering recurring points of friction These especially help to reveal where expectations are initially being missed or exceeded:

    • Confusion that slows adoption
    • Additional proof points and differentiators
    • Misalignments between positioning and reality

    By bucketing recurring themes across sales, social, and support data, teams can identify consistent patterns and prompts to tracks.

    With these insights validating and expanding the prompts created by Persona-Based Prompt Generation, brands can build out truly holistic AI visibility tracking. They can also focus their content and positioning on how customers really decide.

    Understand Your Audiences and Speak to Them, With AI Search Personas

    Semrush Enterprise AIO’s Persona-Based Prompt Generation helps teams to understand the people behind the prompts and ensure your content speaks to their specific needs, constraints, and decision-making contexts.

    Brands can now efficiently embed persona-based targeting directly into their AI search tracking and optimization workflows. Doing so unlocks a host of strategic advantages, closes visibility gaps and enables messaging that’s tailored to match the terminology and requirements of different audiences.

    This means that brands can shift from optimizing for what people search to optimizing for who is searching. A change that helps grow both visibility and revenue.

    Ready to get started? Request a demo now.

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