Fix How AI Describes Your Business Online

<p>Ask ChatGPT about your business. Read the answer carefully. Is it accurate? Is it complete? Does it describe the business you actually run today, or a version of your business from two years ago that no longer exists?</p><p>For most business owners, the first time they see how AI describes their company is a shock. The category is wrong. The services listed are outdated. The location is off. Details are fabricated entirely. Things that sound plausible but are not true. And every day, prospective customers are reading that description and making decisions based on it, decisions that send them to you with wrong expectations or, more likely, send them somewhere else entirely.</p><p>A 2025 Forbes analysis found false information rates of 47% for Perplexity and 40% for ChatGPT across tested queries (Forbes, 2025). That is not an obscure technical problem. That is nearly half of all responses containing something that is not true. When the subject of those responses is your business, every inaccuracy costs you money in the form of confused prospects, missed opportunities, and customers who decided you were not what they needed based on information that was never accurate in the first place.</p>

Turn AI Recommendations into Your Strongest Lead Source

<p>There is a type of lead that most businesses do not know exists yet. It does not come from a Google ad. It does not come from a referral. It comes from a consumer who asked ChatGPT for a recommendation, got your business name, and called you already convinced you were the right choice.</p><p>These leads are different. They convert at higher rates. They spend more time on your site before reaching out. They arrive with fewer objections because the AI already told them you were the answer to their question. And the best part: they cost nothing in ad spend. There is no cost-per-click. No monthly media budget. No campaign that stops producing the day you stop paying.</p><p>Forrester's research found that visitors referred by AI tools spend up to three times longer on-page than those arriving from traditional search (Forrester, 2025). A separate analysis found that AI search traffic accounted for just 0.6% of clicks but 12% of inbound revenue, revealing how qualified and conversion-ready AI-referred traffic is (Forbes Business Council, 2025). The volume is still small compared to Google. But the quality is disproportionately high. And the volume is growing faster than any other customer acquisition channel.</p>

Stop Losing Customers to Competitors on ChatGPT

<p>There is a competitor in your market getting customers you will never know about. Not from Google. Not from referrals. From ChatGPT.</p><p>A prospective customer opened ChatGPT this morning, typed a question about the exact service you provide in the exact city you serve, and got your competitor's name back as the recommendation. They called that competitor. They booked. You never saw a missed lead in your analytics because there was nothing to miss. The customer never visited your site. Never saw your ad. Never compared you to anyone. ChatGPT made the decision for them, and your business was not part of the conversation.</p><p>This is not paranoia. It is math. ChatGPT has over 900 million weekly active users (OpenAI, February 2026). BrightLocal's 2026 data found that 45% of consumers now use AI tools to find local services (BrightLocal, 2026). And when ChatGPT recommends a business, it typically names only one to three (Arvow, 2026). In a market with 50 businesses competing for the same customers, the AI picks one or two and the rest get nothing. If you are not in that one or two, every query in your category is sending a potential customer directly to a competitor. Every day. Without you knowing.</p>

Get Found by AI When Customers Search "Best near Me"

AI Search Optimization for Franchise Businesses

<p>Your franchise has 200 locations. ChatGPT recommends maybe two of them. The other 198 do not exist when a customer asks the AI for a recommendation in those markets.</p><p>That number comes directly from the data. SOCi's 2026 Local Visibility Index found that only 1.2% of multi-location brand locations were recommended by ChatGPT (SOCi, 2026). For a franchise with 200 units, that math translates to roughly two or three locations getting any AI visibility at all. The rest are invisible. The franchisor's brand strength, the national ad fund, the millions spent on traditional marketing, none of it carries over to AI recommendations at the individual franchise location level.</p><p>Franchise businesses have a unique version of the <a class="text-blue-600 underline hover:text-blue-800 transition-colors font-bold" href="Yazeoai-search-optimization-for-multi-location-businesses">multi-location AI visibility problem</a>. The challenge is not just scale. It is the tension between brand-level control and location-level execution. Franchisors control the brand, the website architecture, and the marketing strategy. But AI platforms evaluate and recommend individual locations, not brands. That structural mismatch is why franchise systems are among the most exposed business types in the AI search shift.</p><p>ChatGPT now has over 900 million weekly active users (OpenAI, February 2026). Gartner projected a 25% decline in traditional search volume by 2026 (Gartner, 2024). Every month that passes without AI visibility work at the franchise location level is a month where customers in those markets are asking the AI for a recommendation and getting sent to independent competitors who have built the signals the AI trusts.</p>

White Label AI Search Optimization for Marketing Agencies

<p>Your clients are going to ask you about AI search. If they have not already, they will soon. Someone on their team is going to run their business through ChatGPT, see a competitor get recommended instead, and call you wanting answers. If you do not have those answers, they will find an agency that does.</p><p>This is not a hypothetical scenario. It is happening right now across thousands of marketing agencies. Gartner predicted a 25% drop in traditional search volume by 2026 as AI platforms absorb more queries (Gartner, 2024). ChatGPT has over 900 million weekly active users (OpenAI, February 2026). SOCi's 2026 data showed only 45% overlap between brands winning in traditional search and those recommended by AI (SOCi, 2026). Your clients' Google rankings and your agency's core SEO deliverable are becoming only half the picture.</p><p>The agencies that move fastest on this will lock in clients who need AI visibility alongside their existing SEO work. The ones that wait will watch those clients leave for agencies that can deliver both. White label AI search optimization lets you offer this service under your own brand, at your own margins, without spending a year and a significant budget building the capability internally.</p>

What Happens in Your First 30 Days with Yazeo?

<p>Most agencies sell you a contract and then disappear into a dashboard for 90 days. You get a login, a few automated reports, and a monthly call where someone reads your own data back to you. Then you ask what is actually being done and the answer is vague enough to make you wonder if anyone is doing anything at all.</p><p>That is not how this works at Yazeo. We are an execution agency, not a monitoring platform. When you start working with us, actual work starts on day one. Not auditing-for-the-sake-of-auditing work. Not "strategy development" that takes six weeks to produce a PDF. Real, measurable work on the signals that determine whether AI platforms like ChatGPT, Gemini, Perplexity, and Google AI Overviews recommend your business or skip you entirely.</p><p>Here is exactly what happens in your first 30 days, broken down by week, so you know what to expect before you sign anything.</p>

AI Brand Reputation Repair: Fixing What AI Says Wrong About You

<p>ChatGPT is telling people about your business right now. The question is whether what it is saying is true.</p><p>For a growing number of businesses, the answer is no. The AI gets the category wrong. It lists services you do not offer. It describes your company using language pulled from a competitor's website. It confidently states pricing you changed two years ago. And because AI delivers these answers in a calm, authoritative tone with zero disclaimers, the person reading it has no reason to doubt a word of it. They just move on to whoever the AI recommended instead.</p><p>This is not a small problem. A 2025 analysis found false information rates of 47% for Perplexity and 40% for ChatGPT across tested queries (Forbes, 2025). For brand-specific queries, the kind a prospective customer runs before making a buying decision, the risk is the same. The AI is not lying on purpose. It is making probabilistic guesses based on whatever information it has scraped from across the web. If that information is outdated, inconsistent, or thin, the guess comes out wrong. And you have no notification, no alert, and no way of knowing it happened unless you go check.</p><p>A 2026 Harvard Business Review study found that two-thirds of Gen Z consumers and more than half of Millennials now use AI models to research products and services before buying (HBR, 2026). What the AI says about your business is increasingly the first impression your best prospects get. If that first impression is wrong, you are not just losing a customer. You are losing them to a version of your business that does not exist.</p>

AI Search Optimization for Multi-Location Businesses

<p>You have 50 locations. ChatGPT only sees 2. The other 48 don't exist.</p><p>That is not a hypothetical. SOCi's 2026 Local Visibility Index analyzed more than 350,000 locations across 2,751 multi-location brands and found that only 1.2% of locations were recommended by ChatGPT (SOCi, 2026). Not 1.2% of brands. 1.2% of individual locations. If you operate 50 locations, the math says ChatGPT might recommend one of them. The other 49 are invisible. Consumers in those markets ask the AI for a recommendation, get an answer, and call someone else. You never see the loss in your analytics. It just never arrives.</p><p>Gemini recommended 11% of locations. Perplexity recommended 7.4%. Compare that to Google's local 3-pack, where the same brands appeared 35.9% of the time. Getting recommended by ChatGPT is roughly 30 times harder than showing up in traditional local search. And here is the number that should force a conversation in your next leadership meeting: in retail, only 45% of brands winning in traditional local search also appeared among the most recommended in AI results (SOCi, 2026). More than half the brands dominating Google are completely invisible to ChatGPT. Winning in one system does not guarantee anything in the other.</p><p>ChatGPT now has over 900 million weekly active users (OpenAI, February 2026). Gartner projected that traditional search engine volume would drop 25% by 2026 as AI chatbots and virtual agents absorb more queries (Gartner, 2024). The channel that powered your customer acquisition for the last decade is shrinking. The channel replacing it does not know most of your locations exist. That gap gets wider every month you do not address it.</p>