AI and SEO: How Machine Learning is Changing Search Rankings
The rules of search just changed. Here’s what your business needs to know.
If your website traffic has felt unpredictable lately, you’re not imagining things. Between 2024 and 2025, Google fundamentally rewired how search works. The old playbook—keywords, backlinks, and page rankings—isn’t broken. It’s just incomplete.
Search engines aren’t librarians anymore, pointing you to the right shelf. They’re research assistants, reading the books and giving you the summary. This shift from indexing to reasoning changes everything about how businesses get found online.
What Actually Changed (And Why It Matters to Your Business)
The AI Overview Effect
When you search Google now, you often see an AI-generated summary at the top of the page. That’s the AI Overview, powered by Google’s Gemini technology. These summaries answer questions directly, without requiring a click.
The impact? Significant. Studies from late 2025 show organic click-through rates dropping by 62% on queries with AI Overviews. Paid search clicks fell 68% on the same queries.
The reality: More searches are now “zero-click” experiences. Users get their answer and move on.
From Keywords to Context
Traditional SEO focused on matching specific words. You optimized for “plumber Manchester NH” and hoped to rank when someone searched that exact phrase.
Modern search uses something called vector search and semantic understanding. Google converts your content into mathematical representations of meaning. When someone searches for “emergency pipe repair near me,” Google matches the intent and context, not just the words.
What this means: Your content needs to answer questions clearly, not just contain keywords. The machine needs to understand what you’re actually saying, not just what words you’re using.
The Metrics That Still Matter (And The Ones That Don’t)
What’s Losing Value
Page rankings alone: Being #1 doesn’t guarantee traffic anymore if the AI Overview answers the question above your listing.
Keyword density: Stuffing keywords into content to hit a magic percentage never worked well. Now it actively hurts you.
Generic backlinks: Links from random, unrelated sites won’t help. The algorithm recognizes relevance.
What’s Gaining Value
Answer ownership: Being cited as a source in AI Overviews drives massive value. Sites cited in these summaries see 35% more organic clicks and 91% more paid clicks compared to those that aren’t.
Experience signals: Google’s algorithm now prioritizes E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). The first E—Experience—is the anti-AI signal. Can you prove you actually did this, used this, or lived this?
Structured data: Schema markup tells machines exactly what your content means. For local businesses, this includes your hours, services, and reviews. For e-commerce, it’s product details, prices, and availability.
What Businesses Need to Do Now
1. Structure Content for Machine Reading
AI systems break your content into chunks and convert them to mathematical vectors. Clear structure helps.
Action steps:
- Use descriptive H2 and H3 headings that explicitly state questions
- Write a clear, direct answer in the first 40-60 words
- Break long paragraphs into scannable sections
- Include specific data, statistics, and original insights
2. Demonstrate Real Experience
Generic information gets summarized and blended. Unique experience gets cited.
How to show experience:
- Include original photos from your business or projects
- Share specific examples: “When we installed HVAC systems in the North End last winter, we discovered…”
- Provide data from your actual work: “In our analysis of 50 local campaigns…”
- Use first-person language naturally: “we tested,” “I noticed,” “our team found”
3. Optimize for the Answer, Not Just the Click
If someone asks “what are the signs of a leaking roof,” don’t make them click through three pages to find out. Answer directly, then provide depth.
The structure that works:
- Question: Clear H2 stating the exact question
- Direct Answer: 2-3 sentences giving the core answer
- Detail: Expand with specifics, data, and context
- Next Steps: What should they do with this information?
This satisfies both the AI (which wants clear answers) and the human (who wants depth and context).
4. Claim Your Business Entity
Google’s Knowledge Graph needs to know who you are. For local businesses, this means:
- Maintain an accurate, complete Google Business Profile
- Keep NAP (Name, Address, Phone) consistent across all directories
- Gather authentic reviews regularly
- Add detailed attributes (services, hours, photos, products)
For B2B companies, this includes:
- Author profiles for blog content
- Team member bios with credentials
- Company information structured with schema markup
- Industry affiliations and certifications
Industry-Specific Implications
Service Businesses (HVAC, Plumbing, Legal, Medical)
Voice search and local queries still drive strong traffic. 76% of voice searches have local intent. Your Google Business Profile is your most valuable asset.
Focus: Answer common questions clearly. “Do I need to replace my furnace or can it be repaired?” These practical questions still drive calls and appointments.
E-Commerce
Product comparison queries are AI-friendly. When users ask “best running shoes for flat feet under $150,” your product might appear if your data is structured correctly.
Focus: Detailed product specifications in tables, clear comparison points, and honest pros/cons help AI systems recommend your products.
Professional Services (Marketing, Consulting, Accounting)
Thought leadership content that demonstrates unique expertise and experience gets cited in AI summaries.
Focus: Original research, case studies with specific results, and insider insights you can only provide from doing the work.
The Volatility Will Continue
Google ran major algorithm updates in March 2024, August 2024, November 2024, and December 2025. Each one fine-tuned how AI processes content.
This isn’t a one-time change. Search engines are continuously training their AI systems. Rankings will fluctuate as the algorithms learn.
Your protection: Focus on quality over quick wins. Sites built on genuine expertise and structured content weather updates better than those chasing algorithm loopholes.
What This Means for Your Marketing Budget
The zero-click problem is real, but it’s not universal. Certain queries still drive clicks:
- Local searches: People still want to see the map and choose
- Shopping queries: Users browse multiple options before buying
- Complex decisions: Big purchases require research across sources
The strategic shift: Track “brand lift” and “influence” alongside clicks. Being cited in AI Overviews builds authority even if users don’t click immediately. They remember your brand when they’re ready to buy.
Getting Started: Three Actions This Week
1. Audit Your Top 10 Pages Look at your highest-traffic content. Does each page:
- State a clear question in the H2?
- Answer it directly in the first paragraph?
- Provide unique value (not just rewording what everyone else says)?
2. Update Your Google Business Profile If you’re a local business:
- Add fresh photos from the last month
- Respond to recent reviews
- Verify your hours and services are current
- Add attributes customers actually search for
3. Review One Piece of Content for Experience Signals Take one blog post or service page. Can you add:
- Specific examples from your work?
- Original data or observations?
- Photos showing you actually did this?
- Named experts or testimonials?
The Bottom Line
Machine learning isn’t replacing SEO. It’s elevating the bar for what counts as quality.
The businesses that thrive in AI search will be those that genuinely help users, demonstrate real expertise, and structure their knowledge so machines can understand and recommend it.
Keywords still matter, but context matters more. Rankings still matter, but citations matter more. Traffic still matters, but trust matters more.
The technical complexity has increased, but the core principle is simpler than ever: Create genuinely helpful content based on real experience, make it easy to understand, and format it so machines can share it accurately.
Your competitors are navigating this same transition. The ones who adapt fastest will own the answers in their market.
Need help adapting your digital strategy for AI search? Brandit’s PIXELS team stays current with algorithm changes and implements practical solutions that work for New Hampshire and New England businesses. From local SEO to complete digital marketing strategies, we translate the technical complexity into results that matter.
Contact us: 603.645.2500 | branditms.com
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