What used to take ten searches, five websites, and fifteen minutes now takes one AI conversation. When search behaviour changes, the rules of visibility change with it.
Google sees it too — that's why AI-driven results are now part of Search and Maps. And when an AI assistant answers a local question, it leans on Google Business Profile and Maps information rather than your blog posts or your backlink profile.
AI shortens multi-step search journeys. Comparison queries, "what to do if my boiler doesn't get hot" searches and the back-and-forth exploration in between increasingly get answered in one place.
Google's own response — embedding AI directly into search results for conversational answers
Google-confirmed — Google
Google's AI-powered Maps search — answers local queries conversationally using Maps data and reviews from 500M+ contributors
Google-confirmed — Google
A large and growing share of searches end without a click to any website — estimates vary by study and market
Industry research — SparkToro
Google Confirms It — March 2026
In March 2026, Google launched Ask Maps — a conversational AI layer powered by Gemini that answers local queries like "where can I charge my phone without waiting in a long line for coffee?" by drawing on Maps information about places and customer reviews — the data on your Business Profile, not the content on your website.
Google's own words: Maps analyses information from over 300 million places and reviews from more than 500 million contributors to deliver personalised, AI-driven recommendations.
Read Google's announcementWhen Google's AI mode delivers a local recommendation, it draws from structured, verified business data over traditional web content.
The structured entity data AI trusts for local queries — your name, category, hours, services, and attributes.
Location data, proximity signals, and geographic relevance that power AI-driven local recommendations.
Social proof that AI weighs heavily when deciding which businesses to surface in conversational answers.
Categories, services, attributes, and consistent NAP data that give AI confidence in its recommendations.
These traditional SEO signals are losing influence as AI reshapes how information is delivered.
When an assistant answers in-line, fewer people click through to read a 2,000-word article — so long-form alone does less of the work it used to.
Links still matter for web search, but they aren't what a Maps-style local answer is built from.
AI systems work from intent rather than keyword density, so writing for strings is a declining strategy.
Search is collapsing into answers. AI has removed the need for the multi-step search journey — the comparison queries, the "define this" searches, the back-and-forth exploration.
Google knows it. That's why they've embedded AI directly into search — and why local results, Maps listings, and structured business data are now feeding those answers.
If your client's Google Business Profile isn't fully optimised, automated, review-active, and strategically engineered — they won't surface where AI is pulling local recommendations from.
Control the entity. Control the profile. Control the signals AI trusts.
The businesses that understand this will dominate local AI visibility. Everyone else will keep reporting on keyword movements while their clients slowly disappear from the places customers actually look.
If your Google Business Profile isn't fully optimised, consistently active, and review-powered — you're not just behind. You're invisible in the next generation of search.
GBPly gives you the tools to control the signals AI relies on for local visibility.
Generate optimised GBP posts that keep your profile active and relevant to AI systems.
Email, SMS, QR, and widget tools to build the review signals AI trusts.
Detect unauthorised changes to your profile before they damage your visibility.
Keep your structured data accurate and consistent — exactly what AI needs.
Last reviewed August 2026
The businesses optimising their Google Business Profiles now will dominate local AI visibility. Start building the signals AI trusts — before your competitors do.
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