Google's AI Overviews and AI Mode changed what sits at the top of search results. They didn't change what gets cited. Sites that earn AI citations run the same playbook that's rewarded good content for 15 years: clear topic focus, strong structure, real expertise, verified information. Here's what local businesses should actually do, plus the myth-busting on the "AI SEO hacks" that flat-out don't work.
Every month a new "AI SEO" guide promises secret techniques to rank in Google's AI features. Almost all of it is noise. Google has been clear: there are no special requirements for AI Overviews or AI Mode beyond the standard foundations of helpful, indexable, technically eligible content.
Translated: if your site already does the SEO fundamentals well, you're already eligible. If it doesn't, no shortcut fixes that. This article breaks down what AI search features actually pull from, what local businesses should focus on, and what to ignore.
1. What AI Overviews and AI Mode look like to a site owner
AI Overviews appear at the top of some Google results, summarizing an answer with citations. They show up most often for informational queries (how, what, why, when, where) and cite 2 to 6 source pages depending on the query.
AI Mode is a separate Google search experience with a conversational interface. It pulls from the same indexed content as classic Google, cites pages similarly, and has more freedom to follow up with sub-queries.
Here's the part that matters for you. Both features pull from the same index that powers classic search. There's no separate "AI index" you opt into. If your site is well-indexed and well-structured, you're eligible to be cited.
2. What kinds of pages get cited most often
Three patterns repeat across the citations people have tracked.
Pattern one: structured Q&A pages. Pages with clean "## What is X?" "## How does X work?" "## When should I use X?" headers get cited heavily, because the AI can lift a tidy answer block straight out.
Pattern two: pages with original research or data. A blog post citing "across 200+ Toronto bookings, follower count has 0.18 correlation with verified visits" beats a generic "follower count doesn't matter" piece every time.
Pattern three: pages from sites with clear topical authority. A bakery's site won't get cited for tax law advice. The AI prefers sources where the topic matches the site's core focus.
So for local businesses, focused content wins over sprawling content. A Toronto cafe blog about coffee, neighborhoods, and cafe culture carries more authority on those subjects than a cafe blog that wanders off into investing tips.
3. Should you add special markup to "rank for AI"?
Honest answer: standard structured data (Article, BlogPosting, FAQPage, LocalBusiness) helps. There's no special "AI markup" beyond that.
What helps:
- FAQPage schema for FAQ-style content
- HowTo schema for step-by-step guides
- Article / BlogPosting schema for editorial content
- LocalBusiness schema for business info pages
- Review and AggregateRating schema when applicable
What's hype:
- "Generative Engine Optimization" frameworks promising secret techniques
- LLM-specific markup tags
- Stuffing pages with FAQ-formatted content that doesn't match the page topic
Standard schema works. Stick to standard schema.
4. Which technical SEO basics still matter for AI visibility
The same ones that always did:
- The page is indexed. No noindex, no robots blocks.
- The page loads fast. LCP and INP within "Good" thresholds.
- The page is mobile-friendly. Most queries are mobile.
- The page has clear headings and structure. Logical H1, H2, H3 hierarchy.
- The page is canonical. No duplicate content competing with itself.
- Internal links connect related content. Topical clusters build authority.
Check Google Search Console once a month. Fix coverage issues. Watch for queries that surface your pages but convert poorly. Those are your AI candidate queries, where the AI is using your content but the user isn't clicking through.
5. What changes for Q&A and FAQ content
FAQ-style content has always done well in featured snippets. AI Overviews just speed that pattern up.
What works for FAQ content:
- One question per H2, phrased exactly the way users type it
- A direct answer in the first 1 to 2 sentences after the H2
- Supporting detail in the paragraph that follows
- Internal links to deeper related content
What doesn't:
- Long preambles before the answer
- Vague answers that hedge ("it depends, you should consult a professional")
- AI-generated FAQ content with zero original insight
Write your own FAQ content from real customer questions and you'll beat sites that scrape and republish.
6. Should you worry about AI Overviews "stealing" your traffic?
The evidence is mixed so far. Three things stand out.
One: informational queries are losing some click-through. Someone asking "what time does Costco open Sunday" gets the answer in the AI Overview and never clicks. That click was low-value anyway.
Two: high-intent queries still drive clicks. People searching "best Toronto patios" still click through to compare and decide. The AI Overview becomes a curation layer, not a replacement.
Three: cited sources gain authority over time. Pages cited in AI Overviews build a credential that helps them rank for related queries. You lose a few clicks on the cited query and gain visibility on adjacent ones. That trade usually pays off.
For local businesses, the queries tied to revenue ("brunch near me," "best hair salon in Junction") are high-intent and still drive clicks. Informational queries were never the ones paying the bills.
7. What monthly cadence keeps your AI eligibility current
Three habits that compound:
- Publish 1 to 2 high-quality posts per month on topics you actually know
- Update older posts when the content drifts (a yearly check on stats, dates, links)
- Watch Search Console weekly for new query patterns and impressions
Same advice as classic SEO. AI didn't change the work. It changed the citation surface.
What to actually do this week
Pick one underperforming page on your site. Restructure it as a Q&A. Add FAQPage schema. Internal-link to 3 related pages. Resubmit to Search Console.
If the page covers a focused topic and answers a real question, it'll start showing up in AI features within 2 to 6 weeks.
