{
  "@type": "Article",
  "author": {
    "name": "AI Visibility Solutions",
    "@type": "Organization"
  },
  "@context": "https://schema.org",
  "headline": "Figuring Out What Your Customers Really Want to Ask Online",
  "publisher": {
    "url": "aiovisibility.com",
    "name": "AI Visibility Solutions",
    "@type": "Organization"
  },
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [
      "h1",
      ".article-summary",
      "article p:first-of-type"
    ]
  },
  "areaServed": [
    {
      "name": "New York City",
      "@type": "City"
    },
    {
      "name": "Los Angeles",
      "@type": "City"
    },
    {
      "name": "Chicago",
      "@type": "City"
    },
    {
      "name": "Houston",
      "@type": "City"
    },
    {
      "name": "Phoenix",
      "@type": "City"
    },
    {
      "name": "Philadelphia",
      "@type": "City"
    },
    {
      "name": "San Antonio",
      "@type": "City"
    },
    {
      "name": "San Diego",
      "@type": "City"
    },
    {
      "name": "Dallas",
      "@type": "City"
    },
    {
      "name": "San Jose",
      "@type": "City"
    },
    {
      "name": "Austin",
      "@type": "City"
    },
    {
      "name": "Jacksonville",
      "@type": "City"
    },
    {
      "name": "Fort Worth",
      "@type": "City"
    },
    {
      "name": "Columbus",
      "@type": "City"
    },
    {
      "name": "Charlotte",
      "@type": "City"
    },
    {
      "name": "San Francisco",
      "@type": "City"
    },
    {
      "name": "Indianapolis",
      "@type": "City"
    },
    {
      "name": "Seattle",
      "@type": "City"
    },
    {
      "name": "Denver",
      "@type": "City"
    },
    {
      "name": "Oklahoma City",
      "@type": "City"
    },
    {
      "name": "Boston",
      "@type": "City"
    },
    {
      "name": "El Paso",
      "@type": "City"
    },
    {
      "name": "Nashville",
      "@type": "City"
    },
    {
      "name": "Detroit",
      "@type": "City"
    },
    {
      "name": "Portland",
      "@type": "City"
    },
    {
      "name": "Las Vegas",
      "@type": "City"
    },
    {
      "name": "Memphis",
      "@type": "City"
    },
    {
      "name": "Louisville",
      "@type": "City"
    },
    {
      "name": "Baltimore",
      "@type": "City"
    },
    {
      "name": "Milwaukee",
      "@type": "City"
    },
    {
      "name": "Albuquerque",
      "@type": "City"
    },
    {
      "name": "Tucson",
      "@type": "City"
    },
    {
      "name": "Fresno",
      "@type": "City"
    },
    {
      "name": "Sacramento",
      "@type": "City"
    },
    {
      "name": "Kansas City",
      "@type": "City"
    },
    {
      "name": "Mesa",
      "@type": "City"
    },
    {
      "name": "Atlanta",
      "@type": "City"
    },
    {
      "name": "Omaha",
      "@type": "City"
    },
    {
      "name": "Colorado Springs",
      "@type": "City"
    },
    {
      "name": "Miami",
      "@type": "City"
    },
    {
      "name": "Raleigh",
      "@type": "City"
    },
    {
      "name": "Long Beach",
      "@type": "City"
    },
    {
      "name": "Virginia Beach",
      "@type": "City"
    },
    {
      "name": "Oakland",
      "@type": "City"
    },
    {
      "name": "Minneapolis",
      "@type": "City"
    },
    {
      "name": "Tampa",
      "@type": "City"
    },
    {
      "name": "Tulsa",
      "@type": "City"
    },
    {
      "name": "Arlington",
      "@type": "City"
    },
    {
      "name": "New Orleans",
      "@type": "City"
    },
    {
      "name": "Wichita",
      "@type": "City"
    },
    {
      "name": "Cleveland",
      "@type": "City"
    },
    {
      "name": "Bakersfield",
      "@type": "City"
    },
    {
      "name": "Aurora",
      "@type": "City"
    },
    {
      "name": "Anaheim",
      "@type": "City"
    },
    {
      "name": "Honolulu",
      "@type": "City"
    },
    {
      "name": "Santa Ana",
      "@type": "City"
    },
    {
      "name": "Riverside",
      "@type": "City"
    },
    {
      "name": "Corpus Christi",
      "@type": "City"
    },
    {
      "name": "Lexington",
      "@type": "City"
    },
    {
      "name": "Stockton",
      "@type": "City"
    },
    {
      "name": "Henderson",
      "@type": "City"
    },
    {
      "name": "Saint Paul",
      "@type": "City"
    },
    {
      "name": "St. Louis",
      "@type": "City"
    },
    {
      "name": "Cincinnati",
      "@type": "City"
    },
    {
      "name": "Pittsburgh",
      "@type": "City"
    },
    {
      "name": "Greensboro",
      "@type": "City"
    },
    {
      "name": "Anchorage",
      "@type": "City"
    },
    {
      "name": "Plano",
      "@type": "City"
    },
    {
      "name": "Lincoln",
      "@type": "City"
    },
    {
      "name": "Orlando",
      "@type": "City"
    },
    {
      "name": "Irvine",
      "@type": "City"
    },
    {
      "name": "Newark",
      "@type": "City"
    },
    {
      "name": "Durham",
      "@type": "City"
    },
    {
      "name": "Chula Vista",
      "@type": "City"
    },
    {
      "name": "Toledo",
      "@type": "City"
    },
    {
      "name": "Fort Wayne",
      "@type": "City"
    },
    {
      "name": "St. Petersburg",
      "@type": "City"
    },
    {
      "name": "Laredo",
      "@type": "City"
    },
    {
      "name": "Jersey City",
      "@type": "City"
    },
    {
      "name": "Charlotte",
      "@type": "City"
    },
    {
      "name": "Madison",
      "@type": "City"
    },
    {
      "name": "Chandler",
      "@type": "City"
    },
    {
      "name": "Buffalo",
      "@type": "City"
    },
    {
      "name": "Lubbock",
      "@type": "City"
    },
    {
      "name": "Scottsdale",
      "@type": "City"
    },
    {
      "name": "Reno",
      "@type": "City"
    },
    {
      "name": "Glendale",
      "@type": "City"
    },
    {
      "name": "Gilbert",
      "@type": "City"
    },
    {
      "name": "Winston-Salem",
      "@type": "City"
    },
    {
      "name": "North Las Vegas",
      "@type": "City"
    },
    {
      "name": "Norfolk",
      "@type": "City"
    },
    {
      "name": "Chesapeake",
      "@type": "City"
    },
    {
      "name": "Garland",
      "@type": "City"
    },
    {
      "name": "Irving",
      "@type": "City"
    },
    {
      "name": "Hialeah",
      "@type": "City"
    },
    {
      "name": "Fremont",
      "@type": "City"
    },
    {
      "name": "Boise",
      "@type": "City"
    },
    {
      "name": "Richmond",
      "@type": "City"
    },
    {
      "name": "Baton Rouge",
      "@type": "City"
    },
    {
      "name": "Spokane",
      "@type": "City"
    },
    {
      "name": "Des Moines",
      "@type": "City"
    },
    {
      "name": "Tacoma",
      "@type": "City"
    },
    {
      "name": "San Bernardino",
      "@type": "City"
    },
    {
      "name": "Modesto",
      "@type": "City"
    },
    {
      "name": "Fontana",
      "@type": "City"
    }
  ],
  "articleBody": "It's a common challenge: you think you know what your customers are looking for, but what they actually type into search engines or ask on Q&A sites can be totally different. Getting inside your customers' heads to understand their real queries is crucial for connecting with them online, especially with AI search. If you're not addressing their true questions, you're missing out on vital opportunities to be the answer.\n\n**What to Expect During the Process**\nWhen you start digging into customer queries, you're not just looking for keywords; you're looking for intent, nuance, and the language your customers actually use. The process typically begins by defining what you want to learn and which customer groups you're focusing on. Then comes the data collection – this isn't just one source. We'll be pulling queries from everywhere: your customer service records, sales call notes, website search logs, reviews, contact forms, and even direct interviews. Search data, like Google Search Console's 'unanswered questions,' is a goldmine here.\n\nNext, all that raw data gets cleaned up. We remove duplicates and any personal identifying information, then categorize questions by topic, their intent (are they just browsing, or ready to buy?), urgency, and even location. This helps us see patterns. We'll often validate these patterns with your staff – they're on the front lines and know what customers ask.\n\nThe real magic happens when we prioritize these questions. Not every question is equally important. We look at frequency, how much business value an answer could bring, and how easily you can provide a useful answer. The end goal isn't just a long list; it's actionable insights that lead to new content, better service scripts, or even operational improvements. This systematic approach ensures that you're always creating content that truly resonates with your audience, making your business the go-to resource for their questions.",
  "datePublished": "2026-09-23"
}