# Customer & Market Analysis: Map Audience Intent to AI Queries A 7-phase workflow to understand how your audience searches with AI, build intent-mapped prompts, analyze platform behavior, and connect visibility to real business outcomes. **Author:** JP Garbaccio | **Duration:** 5-7 days | **Difficulty:** Intermediate | **Last Updated:** February 5, 2026 --- Most visibility strategies start with keywords. This one starts with people. The prompts you track should mirror how your actual customers search. Not generic industry terms, but the specific questions your buyers ask at each stage of their journey. When someone asks ChatGPT "best project management tool for remote teams," that's a different intent than "what is project management software." Both matter, but they matter at different times to different people. This workflow helps you map those connections. Over the next 5-7 days, you'll build an intent-driven prompt library tied to real customer behavior, understand which AI platforms your audience actually uses, and connect visibility improvements to business outcomes. --- ## Phase 1: Define Your Audience Segments Before you can track the right prompts, you need to know who you're tracking them for. ### Configure Your Knowledge Base Go to Settings → Project Settings → Knowledge Base and make sure it includes your target audience definition: - **Primary audience**: Job titles, industries, company sizes - **Secondary audience**: Additional segments worth tracking - **Pain points**: What problems do they face? - **Goals**: What outcomes do they want? - **Buying triggers**: What events prompt purchases? If you haven't documented this, the Agent can help: ``` Help me define my target audience for AEO. Based on my business context [briefly describe], suggest: 1. Primary audience personas with demographics 2. Key pain points each persona faces 3. Questions each persona asks during their buyer journey 4. Which AI platforms each persona likely uses 5. How to segment my visibility tracking by persona ``` ### Map the Customer Journey Your customers interact with AI at different stages. Map those stages: **Awareness stage**: "What is X?" and "How to solve Y" queries. They're learning, not buying. **Consideration stage**: "Best X for Y" and "Compare A vs B" queries. They're evaluating options. **Decision stage**: "Is [your brand] worth it?" and "[your brand] pricing" queries. They're ready to buy. **Retention stage**: "How to use [your feature]" and "[your product] tutorial" queries. They've bought and need help. ### Identify High-Value Intent Signals Some queries are worth more than others. Use the Agent to prioritize: ``` Based on my business, identify the highest-value search intents: 1. Transactional queries (ready to buy) 2. Commercial investigation queries (comparing options) 3. Informational queries with buying potential 4. Brand queries indicating interest For each, give me 5 example AI prompts I should track. Prioritize by conversion potential. ``` --- ## Phase 2: Build Intent-Mapped Prompts Now that you understand your audience, build a prompt library that reflects how they actually search. ### Create Prompts by Intent Category Structure your prompts around the customer journey: **Awareness/Educational Intent (Top of Funnel)** ``` What is [industry concept]? How does [process] work? Why is [topic] important for [audience]? Explain [complex topic] simply ``` Your goal here is to get mentioned as an authority or resource. **Consideration/Comparison Intent (Middle of Funnel)** ``` Best [category] for [use case] [Product A] vs [Product B] Compare [solution types] Which [product] is best for [specific need]? Alternatives to [competitor] ``` Your goal here is to be included in recommendations. **Decision/Transactional Intent (Bottom of Funnel)** ``` Is [your brand] worth it? [Your brand] pricing How to get started with [your product] [Your brand] free trial [Your brand] reviews ``` Your goal here is to convert interest to action. **Retention/Support Intent (Post-Purchase)** ``` How to use [your feature] [Your product] tutorial [Your product] best practices [Your product] troubleshooting ``` Your goal here is to drive adoption and advocacy. ### Extract Intent from GSC Data If you have Google Search Console connected, you already have data about how people find you: ``` Analyze my Google Search Console data to identify: 1. Top keywords by click volume - what's driving traffic? 2. Keywords with high impressions but low clicks - visibility opportunities 3. Question-format queries - what people are asking 4. Comparison queries - where am I being evaluated 5. Brand queries - how strong is brand awareness Convert the top 20 discoveries into AI prompts I should track. ``` ### Enrich with GA4 Behavior Data GA4 integration reveals how AI-referred traffic actually behaves: ``` Using my GA4 data, analyze: 1. What % of my traffic comes from AI platforms (ChatGPT, Claude, Perplexity)? 2. How does AI-referred traffic convert compared to other sources? 3. What content pages do AI visitors engage with most? 4. What conversion paths include AI platform touchpoints? 5. Are there patterns in AI traffic that indicate specific intents? ``` --- ## Phase 3: Understand AI Platform Behavior Different audience segments prefer different AI platforms. Understanding these preferences helps you prioritize where to focus. ### Map Platform Preferences by Audience General patterns worth knowing: | Audience Segment | Primary AI | Secondary AI | Usage Pattern | |------------------|------------|--------------|---------------| | Enterprise Decision Makers | Claude | ChatGPT | Research, analysis | | Small Business Owners | ChatGPT | Perplexity | Quick answers, how-to | | Technical Professionals | ChatGPT | Claude | Problem solving, code | | Researchers/Students | Perplexity | Gemini | Deep research, citations | | General Consumers | ChatGPT | Gemini | Everything | ### Analyze Your Platform Performance by Intent Check how you perform across platforms for different intent categories: ``` Analyze my visibility performance across AI platforms by intent category: 1. Which platform am I strongest on for awareness queries? 2. Which platform am I strongest on for comparison queries? 3. Which platform am I weakest on for decision-stage queries? 4. Where should I focus improvement efforts based on my target audience's platform preferences? Create a platform × intent matrix showing my scores. ``` ### Identify Platform-Specific Optimization Once you know where your audience searches, optimize for those platforms specifically: ``` For my primary audience of [describe audience], who primarily uses [ChatGPT/Claude/etc.]: 1. What content formats does this platform prefer to cite? 2. What structured data helps with citations on this platform? 3. How should I optimize my content specifically for this platform? 4. What competitors are winning on this platform and why? Give me 5 specific optimization actions. ``` --- ## Phase 4: Sentiment & Brand Perception Analysis Visibility isn't just about being mentioned. It's about how you're mentioned. ### Analyze How AI Describes Your Brand For each prompt where you're mentioned, examine: - **Sentiment**: Is the mention positive, neutral, or negative? - **Position**: Are you mentioned first or buried later in the response? - **Context**: How are you described? What attributes are associated with you? - **Comparison**: Who are you mentioned alongside? Use the Agent for a comprehensive analysis: ``` Analyze the sentiment and perception of my brand across AI responses: 1. What's my overall sentiment score (positive/neutral/negative ratio)? 2. What positive attributes do AIs associate with my brand? 3. What negative perceptions or concerns appear? 4. How am I positioned relative to competitors in AI responses? 5. Are there any misconceptions or outdated information appearing? Summarize my brand perception across AI platforms. ``` ### Identify Perception Gaps Compare how AIs see you versus how you want to be seen: ``` Compare how AIs perceive my brand vs. how I want to be perceived: DESIRED POSITIONING: [Your intended brand positioning] 1. What gaps exist between desired and actual AI perception? 2. What content could address these perception gaps? 3. Are there specific platforms with worse perception that need focus? 4. What messaging changes would improve AI's understanding of my brand? ``` ### Monitor Sentiment Trends Track sentiment over time to detect: - Improving or declining brand perception - Impact of PR events or news - Competitor comparison shifts - New misconceptions appearing --- ## Phase 5: Market Opportunity Discovery Your visibility data contains signals about broader market opportunities. ### Identify Underserved Search Intents ``` Analyze my visibility data and identify market opportunities: 1. What prompts show high search interest but low AI coverage overall? 2. Where do all competitors score poorly (nobody owns this space)? 3. What emerging topics are appearing in AI queries? 4. What seasonal or trending queries should I prepare for? 5. What adjacent topics could expand my visibility? Prioritize by market size and competitive opportunity. ``` ### Discover Related Questions The questions people ask alongside your main topics often reveal content gaps: ``` For my top 10 keywords, find the "People Also Ask" and related questions that could drive visibility: 1. What questions are people asking about [topic]? 2. Which of these questions have I not addressed in content? 3. What FAQ content could answer multiple related questions? 4. How can I structure content to capture these question queries? ``` ### Map Pain Points to Content Create a matrix connecting customer problems to your content coverage: | Pain Point | Current Coverage | Content Gap | Priority | |------------|------------------|-------------|----------| | Pain point 1 | 2 articles | Need comparison content | High | | Pain point 2 | 0 articles | Need guide | Critical | | Pain point 3 | 5 articles | Needs updating | Medium | ``` Map my customers' top 10 pain points to my content coverage: 1. What pain points do I cover well? 2. What pain points have content gaps? 3. What pain points need better AI-optimized content? 4. Create a prioritized content plan addressing top gaps. ``` --- ## Phase 6: Conversion-Focused Visibility Strategy Not all visibility is equal. The visibility that matters is the visibility that drives conversions. ### Connect Visibility to Business Outcomes ``` Analyze my visibility through a conversion lens: 1. Which prompts have the highest commercial intent? 2. What's my visibility score on these high-intent prompts? 3. Based on GA4 data, which AI-referred traffic converts best? 4. How can I improve visibility specifically on conversion-driving queries? Create a prioritized list of visibility improvements by revenue impact. ``` ### Create Attribution Tracking With GA4 connected, you can track the full path from AI query to conversion: AI Query → Click to Site → Engagement → Conversion → Revenue Searchable + GA4 shows which AI platforms drive conversions, which query types convert, and how AI fits into the broader attribution picture. ### Build Your Visibility-to-Revenue Model ``` Help me build a model connecting AI visibility to revenue: 1. What's my average conversion rate from AI traffic? 2. What's my average order/deal value? 3. If I improve visibility by X%, what's the estimated revenue impact? 4. Which visibility improvements would have the highest ROI? Create a simple ROI model for visibility investment. ``` --- ## Phase 7: Implement Customer-Centric Tracking Organize your tracking around the customer, not just the keywords. ### Organize Prompts by Persona & Journey Stage Create a tagging system in Analytics → Prompts: **By Persona:** - `#enterprise-buyer` - `#smb-owner` - `#technical-user` **By Journey Stage:** - `#awareness` - `#consideration` - `#decision` - `#retention` **By Intent:** - `#informational` - `#commercial` - `#transactional` ### Create Segment-Specific Dashboards Track visibility by segment so you can spot problems quickly: | Segment | Prompts | Avg Visibility | Trend | Action | |---------|---------|----------------|-------|--------| | Enterprise | 25 | 58 | ↑ | Maintain | | SMB | 30 | 42 | ↓ | Improve | | Technical | 20 | 67 | → | Expand | ### Set Up Segment Alerts ``` Help me set up monitoring for my key audience segments: 1. What visibility thresholds should trigger alerts? 2. How should I track competitor movement in each segment? 3. What weekly metrics should I review per segment? 4. Create a weekly reporting template for customer segment visibility. ``` --- ## Success Metrics Track these metrics to measure your customer-market alignment: | Metric | 30-Day Target | 90-Day Target | |--------|---------------|---------------| | High-Intent Prompt Visibility | +15% | +35% | | AI-Referred Conversion Rate | +10% | +25% | | Positive Brand Sentiment | +5% | +15% | | Journey Stage Coverage | +30% prompts | +100% prompts | --- ## Integration Tips ### Maximize GSC Integration - Review data weekly for new keyword opportunities - Track click-through rate trends - Identify mobile vs. desktop patterns - Export quarterly data for trend analysis ### Maximize GA4 Integration - Create AI platform segments - Set up conversion tracking for all goals - Use attribution modeling for AI touchpoints - Track micro-conversions (time on site, pages viewed) --- ## Where to Go Next Once you've completed this customer and market analysis, there are several paths forward: **[AEO Strategy](https://www.searchable.com/workflows/aeo-strategy)** to build your complete AI visibility roadmap based on what you've learned. **[Content Gap & Planning](https://www.searchable.com/workflows/content-gap-planning)** to create content that addresses the gaps you've identified. **[Create Task List](https://www.searchable.com/workflows/create-task-list)** to break this down into specific, assignable tasks for your team. **[Automate Reporting](https://www.searchable.com/workflows/automate-reporting)** to track progress automatically and keep stakeholders informed. --- ## Frequently Asked Questions ### How often should I revisit this analysis? Do a full customer and market analysis quarterly. Audiences evolve, platforms change, and new competitors emerge. But set up weekly monitoring so you catch major shifts in sentiment or visibility quickly. ### What if I don't have GSC or GA4 connected? You can still complete most of this workflow, but you'll miss valuable data about how people currently find you and how AI traffic converts. Connect at least GSC, as it's the most valuable integration for understanding search behavior. ### Should I track prompts for all customer segments? Start with your highest-value segment. If you're a B2B company where enterprise deals are 10x larger than SMB deals, focus your tracking there first. Expand to other segments once you've built momentum. ### How do I know if my customer analysis is accurate? Validate with real data. If your analysis says enterprise buyers use Claude more than ChatGPT, check your GA4 data to see if that matches your actual traffic patterns. Adjust your assumptions based on what you observe. --- [Browse All Workflows](https://www.searchable.com/resources) | [Searchable Homepage](https://www.searchable.com)