Your customers are talking to Google Maps while driving. If your business profile isn’t optimised for conversational AI, you’re invisible at the exact moment they’re ready to buy.
Local search has changed. Again.
If you’ve spent years perfecting your Google Business Profile with the right keywords, category selections, and review count, you might think you’re sorted. But Google has quietly embedded Gemini – its conversational AI – directly into the navigation experience in Google Maps. And it’s fundamentally changed how local businesses get discovered.
This isn’t about getting found when someone’s browsing at home. This is about being recommended while your potential customer is in the car, navigating, and asking for solutions they want in the next 10 to 20 minutes. That’s peak buying intent. And if your business profile speaks in generic, keyword-stuffed language rather than natural conversation, Gemini will bypass you entirely.
Here’s what you need to know – and more importantly, what you need to do about it.
From “Near Me” Keywords to Conversational Intent
Remember when local SEO was simple? Someone typed “coffee shop near me” into Google, and you showed up if your profile was properly optimised. Those days aren’t gone, but they’re no longer enough.
Now, drivers are having actual conversations with Google Maps. They’re asking questions like “find me a cafe near my destination that serves tiramisu” or “I need a pizza shop with gluten-free options that’s open late.” These aren’t keyword searches. They’re spoken requests with context, constraints, and specific intent.
Gemini doesn’t just match words. It understands what people actually want, processes the nuances of their question, and confidently recommends businesses that can deliver. This is all happening while your potential customer is physically near your location, ready to act immediately.
Think about the commercial opportunity here. Someone asking for a specific solution while driving isn’t conducting research. They want to solve a problem right now. They’ll arrive at your door within minutes if Gemini puts you forward. No website visit required. No competitor comparison. Just a direct recommendation that turns into a customer.
But only if your profile is set up to speak Gemini’s language.
Why Traditional GBP Optimisation Is No Longer Enough
Let’s be clear: the fundamentals still matter. You absolutely need accurate categories, high-quality photos, consistent opening hours, and genuine reviews. These are the basics, and they are still required.
But here’s what’s changed. Traditional optimisation focused on exact-match keywords and dense descriptions. You’d write “Best Italian restaurant in Aberdeen” or “State-of-the-art gym with personal training” because that’s what SEO best practices told you to do.
Gemini doesn’t read profiles like that. It’s not scanning for keyword density or exact phrases. It’s parsing natural language for specific signals it can map to spoken queries. When someone asks for “a gym near my house with beginner-friendly classes that stays open past 7pm,” Gemini needs to find those exact attributes in your profile – not just the word “gym.”
If your description is full of generic superlatives and marketing fluff, Gemini can’t confidently match you to specific requests. And if it can’t be confident, it won’t recommend you. You become invisible precisely when someone is ready to walk through your door.
The risk is real. Whilst you’re still optimising for 2018, your competitors are already speaking in conversational intent. Early movers win disproportionately in local search, and this shift is happening right now.
The Real Time Discovery Framework
At Azzurro, we’ve developed what we call the Real Time Discovery Framework – a structured approach to optimising your Google Business Profile for AI-era local search. It’s built around three core steps that transform how Gemini understands and recommends your business.
Step 1: Rewrite Your Business Description for Spoken Questions
Your description needs to answer the questions people actually ask whilst driving, not the keywords you think matter.
Start by asking yourself: what specific problems do we solve? What details would someone mention in a spoken request? What makes us genuinely different in practical terms?
Then write your description as if you’re answering those questions directly.
Before:
“Best Italian restaurant in town. Award-winning chef. State-of-the-art kitchen. Unforgettable dining experience.”
After:
“We serve fresh handmade pasta and wood-fired pizza with vegan and gluten-free options available. Family-friendly atmosphere with a separate kids’ menu. Open until 11pm on weekends, perfect for late dinner after events. Booking recommended for Friday and Saturday evenings.”
See the difference? The second version gives Gemini concrete details it can match to spoken queries. Someone asking for “an Italian restaurant with gluten-free options that’s open late” will find you. The generic version gives Gemini nothing to work with.
Include specifics: opening hours, audience types (families, beginners, professionals), use cases (pre-event meals, post-workout sessions, quick lunch meetings), and any genuine differentiators that answer real questions.
This isn’t about keyword stuffing. It’s about giving conversational AI the specific information it needs to confidently recommend you.
Step 2: Optimise Menus and Services with Natural Language
Your menu and services sections have become prime territory for Gemini to mine contextual information. Don’t waste them on basic lists.
Describe what’s actually included, how long it takes, who it’s best for, and when someone might want it. Use the language your customers use, not industry jargon.
Before:
Basic Wash – £15
Premium Wash – £25
Detail Service – £60
After:
Premium Wash (£25, approximately 20 minutes) – Hand waxing, tyre shine, and interior vacuuming. Ideal before long drives or after muddy weather. Perfect if you’re preparing for a special occasion or road trip.
This transformation does two things. First, it helps Gemini match your service to specific spoken requests (“I need a car wash before my road trip”). Second, it helps the customer understand exactly what they’re getting, which increases conversion once they arrive.
Apply this thinking across all your services or menu items. Every entry is an opportunity to signal specific value that conversational AI can parse and recommend.
Step 3: Engineer Review Language Without Faking It
Reviews have always mattered for local SEO, but now it’s not just about quantity and star rating. The specific language in your reviews serves as ranking signals for Gemini.
When someone asks for “a gym with beginner-friendly classes,” Gemini looks for reviews that mention exactly that phrase. If your reviews only say “great gym” or “friendly staff,” you’re missing the signal.
The solution isn’t to fake reviews – that’s against guidelines and ethically wrong. Instead, guide genuinely happy customers to mention the specific attributes that matter.
After delivering great service, ask: “If you mention your review what you appreciated – whether that’s our late opening hours, beginner-friendly approach, gluten-free options, or quick service – it really helps other customers like you find us.”
This gives customers permission to be specific without being prescriptive. You’re not telling them what to write; you’re encouraging detail over generic praise.
The cumulative effect is powerful. When multiple reviews mention “beginner-friendly,” “open late,” or “gluten-free options,” Gemini gains confidence that these are genuine attributes worth recommending when someone asks for exactly that.
Real-World Scenario: The Gym That Wins the Gemini Recommendation
Let’s bring this to life with a practical example.
Sarah is driving home from work, stressed and thinking she really should join a gym. She’s never been particularly fit, feels intimidated by hardcore gym culture, and can’t get there before 7pm most days.
She asks Google Maps: “Find me a gym near my house with beginner-friendly classes that stays open past 7pm.”
Gym A has a profile that says: “State-of-the-art equipment. Personal training available. Group classes. Award-winning facility.”
Gym B’s profile says: “We specialise in beginners and returners with supportive, no-judgement group classes. Open until 9pm weekdays, 8pm weekends. All fitness levels welcome, with specific beginner sessions at 6:30pm and 7:30pm daily.”
Which one does Gemini recommend? Gym B, confidently. Sarah follows the directions, arrives 20 minutes later, signs up for a trial class, and becomes a member the following week.
Gym A never knew she existed. They’re still wondering why foot traffic hasn’t increased despite their “optimised” profile.
This is happening thousands of times every day across every local business category. The businesses winning these recommendations aren’t necessarily better – they’re just better at communicating their value in the language conversational AI understands.
What This Means for Your Business (or Your Clients)
If you’re a local business owner, this is your opportunity to get ahead whilst most of your competitors haven’t noticed the change yet. Implementing the Real Time Discovery Framework could be the difference between being recommended or being invisible.
We’re packaging this as a standalone “Gemini Maps Profile Optimisation” service for clients who need an immediate upgrade, and as an ongoing AI-aligned copy and review strategy for retainer clients who want to stay ahead as Gemini continues to evolve.
The value isn’t in complicated software or technical trickery. It’s in understanding what’s happening right now with AI and local search, and applying that knowledge strategically to business profiles. Early adopters will win disproportionately, just as they did when Google Business Profiles first launched.
Your Next Steps: A Simple Action Checklist
Don’t let this become another article you read and forget. Take action this week:
- Audit your current description. Is it full of generic marketing language or specific, conversational details?
- Rewrite for spoken queries. Include hours, audience types, use cases, and genuine differentiators that answer real questions.
- Transform at least three menu or service items with natural language that explains what’s included, how long it takes, and who it’s perfect for.
- Create a simple review prompt that encourages specific details without being prescriptive.
- Brainstorm the spoken queries your ideal customer would ask whilst driving near you, then check whether your profile confidently answers them.
- Monitor your GBP Insights for any changes in discovery views, direction requests, or phone calls over the next fortnight.
This is happening right now. Google isn’t announcing this change with fanfares; they’re just rolling it out quietly whilst businesses scramble to understand what’s shifted.
Your customers are already talking to Google Maps. The question is whether your business is ready to answer.
Let’s make sure you’re the one Gemini recommends. Talk to us today about optimising your Google Business Profile for the AI era – before your competitors work out what’s changed.
