UpTrajectory Review

Dalton Luka argues in Entrepreneur that AI search tools still fail at local discovery, and that this failure protects small businesses for now. His evidence: when users ask chatbots for nearby services, the bots return generic answers, miss neighborhood nuance, or hallucinate businesses that closed years ago. Google Maps, by contrast, still dominates because it holds real-time data on hours, reviews, and foot traffic. Luka frames this as good news. We read it as a warning wrapped in comfort. The tools that send you customers today are not the tools that will send you customers tomorrow, and the gap between the two is closing faster than most operators realize. Treating this as a reprieve rather than a transition is a strategic error.

For a local operator — a plumber in Akron, a bakery in Baton Rouge — this matters because your next customer still opens Maps, not ChatGPT. That means your Google Business Profile, your review velocity, and your photos of the actual shop matter more than your website's SEO blog. If you run a service business, treat your Maps listing as your homepage. Post updates weekly. Answer every review. Upload fresh photos. The businesses that win local search in 2025 do the unglamorous work of data hygiene, not content marketing. Luka is correct that Maps remains the internet's best real estate for local discovery, but real estate values shift, and the operators who maintain clean listings now will hold the advantage when the ground moves.

Luka is right that AI search remains unreliable for local queries, but he understates how fast the gap closes. Google now embeds AI Overviews directly into Maps results, and Perplexity has partnered with Yelp for local data. The 'good news' window may last eighteen months, not five years. We are skeptical of any operator who reads this article as permission to ignore AI search entirely. The habit of maintaining clean, structured local data will pay dividends in both ecosystems. A business that keeps its hours accurate, its categories precise, and its citations consistent across the web is already optimized for AI retrieval, whether or not the owner realizes it. The work is the same. The urgency is not.

The second-order effect hits businesses that serve tourists and newcomers hardest. A hotel concierge who once asked Google now asks an AI assistant; if that assistant invents a restaurant or omits your cafe, you lose a cover you never knew existed. Meanwhile, businesses in dense urban cores with high review volume will see AI tools cite them accurately first, widening the gap between digital haves and have-nots. Rural operators face a different risk: AI may simply skip their town entirely, routing queries to the nearest chain. The cost of invisibility is not zero. It is a slow leak of customers who never call, never visit, and never tell you they tried to find you and failed.

Watch Google's AI Overviews in Maps and test your own business monthly across ChatGPT, Perplexity, and Gemini. Ask where to find your service in your city; note whether you appear, whether the hours are right, whether the bot recommends a competitor. If you are invisible, audit your structured data and third-party citations now. Do not wait for the technology to mature. The operators who treat local AI visibility as a 2025 project will own the results when the 'good news' expires. Luka's article is worth reading, but the action item is not relaxation. It is preparation.

Takeaway: Audit your Google Business Profile monthly and test your visibility across AI search tools now, before the 'good news' window closes.