At the start of 2025 we laid out ten predictions for how AI would change the way customers find businesses. Looking back from late 2026, it's a useful exercise: some of these landed almost exactly, one or two moved faster than anyone expected, and a couple are still playing out. Here's each prediction, what actually happened, and what it means for your business today.
Prediction 1: AI Becomes the Default Search Interface
The prediction: AI would stop being an alternative to search and start being search itself.
What actually happened
This one landed. Google's AI Overviews are now a standard feature of results, Microsoft folded Copilot into Bing and Edge, and ChatGPT grew into one of the most-used products on the internet, with roughly 1.2 billion weekly users according to Search Engine Land. For a growing share of everyday questions, people read the AI's answer and never scroll to the blue links underneath. The specific interfaces vary:
- Google AI Overviews answering queries directly
- Voice queries handled entirely by an assistant
- In-app AI assistants (shopping, travel, and more)
- ChatGPT and similar tools handling research questions
What This Means for Brands
Prediction 2: AI Recommendations Become Highly Personalized
The prediction: Recommendations would shift from generic to tailored, driven by user context.
What actually happened
Mostly on track, though still maturing. Assistants now routinely factor in history, stated preferences, location, and real-time context when they suggest a business:
- Past interaction history
- Stated preferences
- Behavioral patterns
- Real-time context (location, time, device)
- Social connections
Example: Instead of "Here are good restaurants in the area," AI will say "Based on your preference for quiet places and your upcoming anniversary, here's a romantic Italian restaurant that fits your typical budget."
What This Means for Brands
Niche positioning pays off. Generic businesses get generic recommendations. Specialized businesses get matched to the exact context a customer is in.
What to do: Define and optimize for your ideal customer profiles. Be clearly positioned for specific needs, preferences, and situations.
Prediction 3: Real-Time Data Becomes Critical
The prediction: AI would get far better at pulling live business information instead of guessing from stale training data.
What actually happened
A big shift here, and faster than we expected. Built-in web search became standard. Claude added web search across all its plans in May 2025, ChatGPT's web search is now broadly available rather than a paid add-on, and Gemini pulls from live sources too. In practice that means AI can now reach for current business information rather than relying on what it memorized months ago:
- Live inventory availability
- Current wait times
- Real-time pricing
- Today's specials/availability
- Recent reviews (not months old)
Example: "Is [Restaurant] busy right now?" will get an accurate real-time answer, not a guess based on typical patterns.
What This Means for Brands
Fresh, accurate data is a real advantage. When your hours, pricing, and details are current and easy for AI to find, it recommends you with more confidence than a competitor whose information looks stale.
What to do: Keep your business data current everywhere AI might look, starting with your Google Business Profile and your own website.
Prediction 4: Review Synthesis Becomes More Sophisticated
The prediction: AI would move from blunt review summaries ("customers praise X, complain about Y") to genuinely nuanced analysis.
What actually happened
On track. Review synthesis has gotten noticeably sharper, reading trends over time and differences between customer segments rather than just averaging stars:
- Sentiment trends over time (improving? declining?)
- Customer segment insights (families love it, solo diners less so)
- Context-specific analysis (great for quick lunch, not for celebration dinner)
- Comparative positioning (better value than X, slower than Y)
Example: "Recent reviews show improvement in wait times since they expanded the kitchen. Families rate it higher than couples."
What This Means for Brands
Review quality beats review quantity. Detailed, specific reviews give AI better material to work with. Padding your review count with thin feedback does little.
What to do: Encourage specific, detailed reviews, and actually fix the issues customers raise. AI picks up on improvement over time.
Prediction 5: Visual and Voice Become Primary Interfaces
The prediction: A large share of AI discovery would move off the keyboard to voice and camera.
What actually happened
Partly. Voice and multimodal queries have grown a lot, especially hands-free and point-the-camera use, but typed chat is still where most discovery happens. This one was directionally right while the pace was slower than the headline suggested. The behaviors are real and worth preparing for:
- Voice queries while driving, walking, or cooking
- Visual queries (point the camera, ask a question)
- Ambient queries through smart home devices
Example: Point your phone at a storefront and ask "Is this place any good?" and get an informed answer back.
What This Means for Brands
Visual and voice discoverability matters. Customers increasingly find you without typing a word.
What to do:
- Ensure photos are high-quality and representative
- Create content that works when spoken aloud
- Optimize for location-based discovery
- Consider how your business appears in visual/AR contexts
Prediction 6: AI Agents Will Make Purchases
The prediction: AI agents would stop at recommending and start actually buying on a customer's behalf.
What actually happened
This is the prediction that moved furthest. Agentic commerce is no longer a forecast; it's live. Shopify's Universal Commerce Protocol (UCP) gives AI agents a standard way to discover products and complete a purchase, and Shopify's agentic commerce stack now lets an assistant find an item and check out without the shopper ever visiting the store's website. The requests we imagined are real transactions now:
- "Book me dinner for two on Saturday"
- "Order my usual from that coffee shop"
- "Find and buy a replacement filter for this"
The AI doesn't just recommend. It acts.
What This Means for Brands
If an agent can buy from your competitor but not from you, you lose the sale before you ever see the customer. Being discoverable to AI agents, and being transactable through them, is now part of getting found at all.
What to do:
- Make sure your products and booking are accessible to AI agents (on Shopify, that increasingly happens through the platform itself)
- Keep availability and pricing information clear and current
- Remove friction from the path to purchase
Prediction 7: Authority Sources Become More Important
The prediction: AI would lean harder on authoritative, trustworthy sources and discount generic web presence.
What actually happened
On track. As assistants added live web search, which sources they cite became more visible and more important. Being referenced by a source the AI trusts carries real weight:
- Professional association endorsements
- Industry publication mentions
- Academic/research citations
- Verified credentials
- Recognized awards and certifications
Generic web presence matters less. Authoritative presence matters more.
What This Means for Brands
Where you're mentioned matters more than how often. One citation from a source the AI trusts can outweigh dozens of thin listings.
What to do: Prioritize authoritative mentions over volume. Industry publications, professional associations, and recognized credentials create AI visibility that lasts.
Prediction 8: Local AI Competition Intensifies
The prediction: Local businesses would wise up to AI visibility, early advantages would get challenged, and the easy wins would dry up.
What actually happened
This is still in motion. Awareness has climbed and the easy wins have narrowed, but plenty of local businesses still haven't done the basics, so there's room to move for owners who act now rather than later:
- More local businesses investing in AI optimization
- AI optimization services multiplying
- Early advantages facing more competition
- A need to keep optimizing rather than set-and-forget
What This Means for Brands
An early lead becomes a lead you have to defend. Businesses that built strong AI visibility first now have to maintain it as others catch up.
What to do: If you haven't started, start now. If you have, don't coast.
Prediction 9: AI Hallucination Decreases but Never Disappears
The prediction: AI making things up would get less common but never disappear entirely.
What actually happened
Accurate. Grounding answers in live web results has cut down on obvious errors, but AI still gets facts about businesses wrong, and the risk hasn't gone to zero:
- Better grounding in verified sources
- More hedging on uncertain information
- Improved fact-checking capabilities
- But never 100% reliable
You still have to manage the risk of AI getting your details wrong.
What This Means for Brands
Monitoring is ongoing work. Even as AI improves, wrong information about your business can surface. Catching and correcting it never fully ends.
What to do: Keep an eye on what AI says about your business, and keep your information clear and consistent across sources so there's less for AI to get wrong.
Prediction 10: AI Visibility Tools Mature
The prediction: Tracking how AI talks about your brand would go from a niche experiment to standard marketing software.
What actually happened
On track and still maturing. AI visibility tracking has grown into a real category, moving toward the same table-stakes status that web analytics holds today:
- Features folding into SEO and marketing platforms
- Becoming part of the standard marketing stack
- Competitive intelligence getting sharper
- Optimization recommendations getting more automated
What This Means for Brands
Flying blind is the real risk. Not tracking what AI says about you is a bit like running a website with no analytics.
What to do: Start tracking AI visibility now, and build the know-how while many competitors are still figuring it out.
Where to Focus Now
Do these first
- Establish an AI visibility baseline across the major assistants
- Complete the foundation (Google Business Profile, structured data, accurate website content)
- Build review momentum with specific, detailed feedback
- Write conversational content that answers real customer questions
Build on it
- Invest in authority (citations, credentials, industry publications)
- Keep your business data fresh everywhere AI looks
- Make yourself discoverable by voice and camera
- Make sure AI agents can transact with you, not just your competitors
Play the long game
- Build authority that compounds over time
- Develop the data and insights AI rewards
- Stay close to the platforms your customers use to discover you
- Keep monitoring and adapting as AI keeps changing
The Bottom Line
Looking back, the broad thesis held: AI became the discovery layer, not just another tool. The direction of every prediction was right. What varied was the pace. Some arrived fast:
- AI is now the discovery layer, not just a tool
- Built-in web search gave AI access to current information
- AI agents moved from recommending to actually buying
- Authority came to matter more than volume
Others are still playing out, like voice and camera as primary interfaces and the full maturing of local AI competition. The lesson for a business owner is the same either way: the fundamentals we flagged are now the price of entry, not an edge.
Want to know what AI is saying about your brand right now? BrandIndex AI tracks it and shows you where to improve.