The Search Landscape Has Fundamentally Changed
In May 2024, Google began rolling out AI Overviews — AI-generated summaries that appear above all organic search results. For millions of queries, users now get their answer directly on the results page, without clicking through to any website. Combined with the rise of ChatGPT Search and Perplexity as research tools, the traditional "rank #1 on Google" playbook is being disrupted at its foundation.
What This Means for Toronto Business Owners
If someone searches "best web designer Toronto" in 2025, they may see an AI-generated summary that pulls from multiple sources — and your business may or may not be cited. The businesses that get cited in AI Overviews share a few common traits: their content is structured as entities (not just keywords), they have strong E-E-A-T signals (Experience, Expertise, Authoritativeness, Trust), they publish consistently, and their data is accessible to AI crawlers.
Entity-Based SEO: The New Foundation
Traditional SEO optimized for keywords. AI-era SEO optimizes for entities — the people, places, businesses, products, and concepts that AI models understand as real-world objects. For a GTA business, this means: having a well-structured Google Business Profile, consistent mentions across authoritative sites (local news, industry directories, professional associations), and on-page content that clearly describes what you do, where you do it, and who you serve.
Structured Data Is Now Essential, Not Optional
Schema.org markup — JSON-LD structured data embedded in your site's HTML — tells AI models exactly what your business is, where it is, what it offers, and what people say about it. LocalBusiness schema, Service schema, Review schema, FAQ schema — these are no longer nice-to-haves. They're the machine-readable layer that AI search engines use to decide whether to cite you or skip you.
Content That AI Can Use
AI search systems favour content that directly answers questions, is written at the appropriate expertise level for the topic, and is organized in a logical, scannable structure (H2s, lists, tables, definitions). For GTA businesses, this means creating service pages, blog posts, and FAQs that clearly answer the questions your customers are actually asking — not content stuffed with keywords.
Local SEO Remains Powerful — But Needs Updating
For location-based queries ("plumber near me", "web designer Toronto", "restaurant Scarborough"), local SEO signals still matter enormously. Google Maps proximity, review recency and volume, business category alignment, and website authority all feed into local pack rankings. AI Overviews for local queries still pull heavily from Google's local knowledge graph. Keeping your Google Business Profile current, generating fresh reviews, and having a fast, well-structured website remain the core of local AI visibility.
Action Plan for GTA Businesses
Start with a structured data audit — does your site have LocalBusiness, Service, and Review schema? Next, build out your entity footprint: consistent mentions across 15+ authoritative local directories and industry sites. Then assess your content: is it answering real customer questions clearly and completely? Finally, audit your Core Web Vitals — AI search engines still weight page experience as a quality signal. Businesses that do these four things in 2025 will build an AI search presence that compounds over time.