AI Driven Audience Research -
AI Search Engines

Identify what matters most to your audience in AI search. Our AI-guided workflow generates category, brand and journey-based questions to reveal true demand and consumer intent.

Six powerful AI prompt sets to analyse your audience from every angle.

Leverage our six ready-to-use prompt frameworks designed for deep audience intelligence. These prompt sets form the basis of your research into how AI search engines, including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Bing Copilot Search represent your brand, your competitors, and your market. These Prompt Families are designed to give you quantitative and qualitative insights that you can use to optimise your brand's presence across these surfaces.

Unbranded Queries

Analyse your market without the bias of brand names. These prompts reveal which products, features, and benefits dominate generic AI search responses helping you benchmark your organic visibility across categories and understand true, unprompted consumer interest.

Branded Queries

See what AI really says about you. Generate brand-specific prompts to uncover sentiment, tone, and narrative themes surrounding your company. Understand how LLMs describe your products, which sources they cite, and what strengths or gaps they highlight.

Brand Relevance

Ask direct recommendation-style questions like “Would you recommend [Brand] for [use case]?” and see how consistently AI platforms endorse your brand and whether they offer consumers 'better' alternatives. Identify inaccuracies, hallucinations, omissions and competitive threats across key product categories.

Head-to-Head Comparisons

Run structured A/B comparisons between your brand and competitors. These prompts expose hidden model biases and preferences, showing which brand LLMs favour in specific contexts and why. e.g. "Which car hire firm is most reliable, a) Enterprise or b) Hertz. Only answer A or B". Rotate options, competitors, personas, and scenarios to uncover training data advantages and whether and AI models show bias for or against your brand.

Negative Queries

Explore the downside of perception with prompts focused on customer pain points and brand criticism. Identify recurring issues, analyse which brands perform worst in sentiment-driven queries, and uncover the sources shaping negative narratives. Perfect for proactive PR and reputation management.

Dynamic Queries

For fast-moving categories, let AI work for you. Dynamic prompts automatically extract fresh topics and keywords from your new content, turning them into relevant, real-time queries. Ideal for publishers and content teams that need continuous audience intelligence and topic alignment.

Use Key Factors to uncover the commercial signals that matter most

AI Search Audience Research isn’t just about what people ask — it’s about why they ask. With Key Factors, you can structure your AI-driven research around the commercial drivers that shape real purchasing behaviour. Whether it’s price, performance, sustainability, or style, you can uncover exactly what influences consumer decisions and how AI platforms reflect those motivations across categories, brands, and buyer journeys.

Reveal the attributes that drive real purchase intent and understand what truly influences consumer decisions in AI search.
Structure your audience research around commercial value from price and performance to trust and sustainability.
See how AI platforms weigh your brand’s strengths and weaknesses across the factors that matter most to buyers.
Map Key Factors across the buyer journey to uncover how motivations shift from awareness to purchase.
Benchmark which factors dominate AI conversations and compare your positioning with top competitors.

Understand the full path consumers take through AI search and use those insights to shape smarter strategies.

Map Questions Across the Entire Buyer Journey

By generating journey-based question sets for any product, category or market, you can see which topics educate, which comparisons matter, and which concerns block conversions. This gives your content, product and brand teams a clear blueprint on what to create, clarify or optimise to win visibility in AI search.

Identify TOFU, MOFU and BOFU questions to see how consumer intent evolves from research to decision.
Reveal early educational needs so you can create content that captures attention at the start of the journey.
Surface product comparisons and objections that matter most during mid-funnel evaluation.
Uncover purchase-driven queries that signal readiness to convert — and optimise for them in AI search.
Map journey stages across markets and languages for a consistent, global understanding of customer behaviour.
Diagram titled 'Buyer Journey' outlining six stages: Awareness, Consideration, Intent, Purchase, Post-Purchase Evaluation, and Loyalty, describing consumer behavior and decision processes at each stage.

Understand the full path consumers take through AI search and use those insights to shape smarter strategies.

Bar chart showing total mentions by brand with Patagonia leading at 194, followed by Lululemon at 158 and Vuori at 115.

Understand How AI Search Engines Represent Your Brand

See exactly how LLMs talk about your brand by generating brand-specific question sets that reveal what AI systems think, assume or say about you. Identify misrepresentations, missing information and competitive comparisons that influence perception across AI search platforms.

This creates an entirely new layer of brand intelligence. You can surface risks early, spot gaps in messaging, and trace which sources shape AI-generated answers — giving your brand, comms and content teams the clarity they need to stay ahead.

Reveal how LLMs describe your brand across Google AIO, ChatGPT, Perplexity, Claude, Gemini and Bing AIO.
Identify misrepresentations or outdated info that may harm trust or confuse users.
Surface comparative questions to see how often AI engines position you against competitors.
Detect early brand-risk signals by uncovering negative or objection-based questions.
Trace which sources influence AI answers so you know which pages shape brand perception.
Monitor changes in AI-generated brand narratives to stay ahead of shifts in sentiment or messaging.

We don’t just show how AI describes your brand — we reveal the exact sources shaping those narratives across every AI search engine.

Start Improving Your AI Search Visibility Today

  • See which sources and publishers models rely on in your category
  • Understand how often your content is surfaced across major AI platforms
  • Reveal where competitors outperform you in AI-generated answers
  • Identify third-party sites you need to be visible on
  • Understand cross-model differences to guide content & PR strategy
  • Get a full walkthrough of your brand’s AI search footprint

FAQs for Audience Research

What is AI Search Audience Research?

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AI Search Audience Research helps you understand what consumers ask across AI Overviews, ChatGPT, Perplexity, Claude, Gemini and Bing AIO — revealing the real questions, intents and topics driving discovery today.

How is this different from traditional keyword research?

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Instead of relying only on search volumes or keyword lists, Audience Research uncovers unbranded, branded and informational questions that LLMs surface — giving you a richer, narrative understanding of your market.

Why do marketers need AI-driven question data?

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Because buyers increasingly rely on conversational answers, not keyword-based results. Understanding the questions LLMs generate is the key to shaping visibility, brand perception and conversion across AI search journeys.

What types of questions can the tool generate?

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You can generate questions by category, subcategory, buyer journey stage, intent, brand, competitor, sentiment (including negative/reputation risk questions), location, and language.

Does Audience Research help with content strategy?

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Yes — Audience Research reveals exactly what to write, explain or clarify to win visibility in AI summaries, citations, and answer blocks across leading LLMs.

Can I analyse questions at different stages of the buyer journey?

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Absolutely. You can create structured TOFU, MOFU and BOFU question sets, helping you map motivation, objections and decision criteria from start to finish.

Can I explore specific buyer personas?

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Yes — you can generate persona-based question sets, including motivations, needs, hesitations and comparison behaviours unique to each audience segment.

Can the tool generate questions in multiple languages?

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Yes. You can localise your prompts to produce multilingual, market-specific question sets for global or regional analysis.

Can I use custom prompts to go deeper?

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You can use fully customisable AI prompts to explore any angle: brand questions, competitive comparisons, objections, pain points, negative sentiment, category trends and more.

How does this support reputation management?

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By generating “negative” or risk-focused questions, you can see what issues AI systems associate with your brand — and which sources influence those narratives.

Can I compare question sets across markets or competitors?

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Yes — you can generate and compare structured question sets across competitors, geographies, or product lines for consistent, scalable analysis.

How does this improve performance in AI search engines?

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By understanding the full spectrum of questions AI models consider, you can create content that directly answers them — improving your likelihood of being cited, summarised or recommended across LLMs.