Websites & Growth

SEO and AI Search: What Small Businesses Should Know

Search is changing. Learn what traditional SEO still matters, how AI-powered search engines discover and cite content differently, and what steps may help your website stay visible in both classic and AI-driven results.

By the Everwood founder7 min readIntermediate

You'll learn

  • Search Engine Optimization (SEO) is the practice of making a website easier for search engines to discover, understand, and recommend to people looking for relevant information. When someone types a question into Google or Bing, the search engine crawls billions of pages, indexes their content, and ranks the results it considers most helpful.
  • For small businesses, appearing in those results can be a significant source of new visitors and potential customers. Understanding the basics of how search works — and how it's evolving — may help you make more informed decisions about your online presence.
  • 1. Crawling — Automated programs (often called "bots" or "spiders") follow links across the web, downloading and reading page content. They look at text, images, headings, and metadata.

Best for

Businesses planning a new website or deciding how to improve online visibility.

Everwood takeaway

The right choice depends on your workflow, constraints, and goals. SEO and AI Search: What Small Businesses Should Know is most useful when used to ask better questions before you commit budget or implementation time.

What Is SEO, and Why Does It Matter?

Search Engine Optimization (SEO) is the practice of making a website easier for search engines to discover, understand, and recommend to people looking for relevant information. When someone types a question into Google or Bing, the search engine crawls billions of pages, indexes their content, and ranks the results it considers most helpful.

For small businesses, appearing in those results can be a significant source of new visitors and potential customers. Understanding the basics of how search works — and how it's evolving — may help you make more informed decisions about your online presence.

How Traditional Search Engines Work

Search engines generally operate in three stages:

  1. Crawling — Automated programs (often called "bots" or "spiders") follow links across the web, downloading and reading page content. They look at text, images, headings, and metadata.
  2. Indexing — The search engine analyzes what each page is about and stores that information in a massive database. Not every page gets indexed — low-quality or blocked content may be skipped.
  3. Ranking — When a user searches, the engine compares the query against its index and returns results it considers most relevant and trustworthy, ordered by hundreds of factors.

Key Factors That Generally Influence Rankings

While no one outside the search engines knows the exact algorithm, several factors are widely understood to play a role:

  • Content quality and relevance — Pages that thoroughly, accurately address what someone is searching for tend to perform better. One large-scale study found that the average first-page Google result contained approximately 1,400 words of content.
  • Backlinks — Links from other reputable websites act as votes of confidence. A former Google engineer confirmed in 2016 that backlinks remain one of the strongest ranking signals.
  • Technical health — Page speed, mobile-friendliness, HTTPS encryption, clean site structure, and proper use of heading tags all contribute to how well a page can be crawled and ranked.
  • Structured data — Schema markup (like JSON-LD) helps search engines better understand the context of your content, which can lead to enhanced search result appearances such as FAQ dropdowns or star ratings.
  • Freshness — For time-sensitive topics, recently updated content may be favored. For evergreen subjects, well-maintained older pages can rank just as well.
  • User experience signals — How visitors interact with search results — whether they stay on a page or quickly return to try another result — may influence rankings over time.

What Is E-E-A-T?

Google uses a quality framework called E-E-A-T, which stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It isn't a single ranking factor but rather a set of qualities that Google's systems look for when evaluating content.

  • Experience — Does the author demonstrate first-hand familiarity with the topic?
  • Expertise — Is the content created by someone knowledgeable in the subject area?
  • Authoritativeness — Is the website or author recognized as a credible source?
  • Trustworthiness — Is the content accurate, transparent, and honest?

Google places extra emphasis on E-E-A-T for topics that could affect someone's health, finances, or safety — sometimes called "Your Money or Your Life" (YMYL) topics. For most business websites, demonstrating clear authorship, citing sources, and providing genuinely useful information are practical ways to align with these principles.

Traditional search presents a list of links and lets the user decide which to click. A newer approach — sometimes called AI-powered search, Generative Engine Optimization (GEO), or informally "SEO 2.0" — works differently.

Platforms like Google AI Overviews, Bing Copilot, ChatGPT with web browsing, and Perplexity use large language models to read multiple sources, synthesize the information, and present a unified answer with citations. Instead of ranking ten blue links, the AI selects a handful of sources to reference directly in its response.

This is a meaningful shift. According to a 2024 study by SparkToro and Datos, approximately 58.5% of US Google searches already resulted in zero clicks — meaning the user found their answer without visiting any website. AI-generated summaries are expected to accelerate this trend.

What Makes Content "AI-Search Friendly"?

Researchers at Princeton University and IIT Delhi published a landmark study on Generative Engine Optimization (accepted at KDD 2024, one of the top data science conferences). They evaluated nine different content strategies across 10,000 queries and found some notable patterns:

  • Citing credible sources within your content was the single most impactful strategy, improving AI visibility by up to 40% in their tests.
  • Including relevant statistics and data improved visibility by up to 37% on platforms like Perplexity.
  • Adding expert quotes from recognized authorities boosted visibility by roughly 22–27%.
  • Writing clearly and fluently — well-organized, easy-to-read content — consistently outperformed poorly structured pages.
  • Keyword stuffing actually performed worse than doing nothing at all — about 10% below baseline on generative engines.

One particularly interesting finding: smaller, lower-ranked websites benefited disproportionately from these GEO strategies. Sites ranked 5th in traditional search results saw a 115% visibility increase when they added credible citations — suggesting that AI search may level the playing field somewhat compared to traditional SEO, where established domain authority and backlink profiles dominate.

Traditional SEO vs. AI Search: Key Differences

Traditional SEOAI-Powered Search
GoalRank in a list of linksBe cited in an AI-generated answer
What matters mostBacklinks, keywords, technical healthContent quality, citations, structured data
Keyword approachStrategic placement in titles, headings, bodyNatural, conversational language
Content formatOptimized for clicks (compelling titles, meta descriptions)Optimized for extraction (clear answers, structured information)
CompetitionCompete for 10 positions on page oneCompete to be one of 3–5 cited sources
Small site advantageLimited without strong backlinksContent quality can overcome lower domain authority

It's worth noting that traditional SEO and AI-search optimization are not mutually exclusive. The fundamentals of good SEO — quality content, clear structure, fast loading, mobile-friendliness — also tend to help with AI-search visibility. Think of GEO as an additional layer, not a replacement.

Practical Steps That May Help

Here are some commonly recommended approaches that may improve visibility in both traditional and AI-powered search:

For Traditional SEO Fundamentals

  • Ensure your site loads quickly and passes Core Web Vitals checks
  • Use HTTPS and responsive (mobile-friendly) design
  • Create a clear heading hierarchy (H1, H2, H3) with descriptive headings
  • Submit an XML sitemap and maintain a clean robots.txt
  • Write comprehensive content that genuinely addresses what your audience is looking for
  • Use descriptive title tags and meta descriptions
  • Link between related pages on your own site with meaningful anchor text

For AI-Search Visibility

  • Add structured data (JSON-LD) — Article schema, FAQ schema, Organization schema, and BreadcrumbList schema help AI systems parse and understand your content
  • Include FAQ sections — Direct question-and-answer formatting is particularly well-suited for AI extraction
  • Cite your sources — Reference studies, official documentation, or recognized experts when making claims
  • Use specific numbers and statistics — Replace vague statements like "many people" with specific data points when available
  • Write for conversational queries — Think about how someone might ask a voice assistant or chatbot, not just what they'd type into a search bar
  • Build topical depth — Creating multiple related articles on a subject area may help establish your site as a knowledgeable source
  • Keep content accurate and current — Outdated information is less likely to be cited by AI systems

When to Consider Professional Help

SEO — especially the combination of traditional and AI-search optimization — can become complex quickly. Some situations where working with a professional may be worthwhile:

  • When organic search is a primary source of business — If your revenue depends significantly on search-driven traffic, a strategic approach often pays for itself.
  • For technical issues — Problems with site architecture, crawl errors, page speed, or structured data implementation can require specialized knowledge to diagnose and resolve.
  • In competitive industries — When competitors have established domain authority and strong backlink profiles, professional guidance may help accelerate progress.
  • During website redesigns or migrations — SEO mistakes during a site migration can cause significant, sometimes long-lasting, drops in visibility.
  • When you don't have time to stay current — Search algorithms and AI-search best practices evolve frequently. Keeping up requires ongoing attention.

Google's own documentation acknowledges that SEO professionals can provide useful services, including reviewing site content and structure, technical advice, and content development strategy.

The Bottom Line

Search is evolving, but the core principle remains the same: create genuinely useful content for real people. Traditional SEO fundamentals — quality content, clean technical implementation, and credible sourcing — continue to matter. AI-search optimization adds new considerations, particularly around structured data, citations, and writing for extraction rather than just clicks.

Neither traditional SEO nor AI-search optimization offers guaranteed results. Search algorithms change, competition shifts, and what works in one industry may not work in another. But understanding these concepts can help you make more informed decisions about your website and online presence.

If you're unsure where to start or whether your current approach is effective, consulting with a qualified professional is generally a good step.

Frequently Asked Questions

What is the difference between SEO and GEO?

Traditional SEO (Search Engine Optimization) focuses on ranking your website in a list of search results. GEO (Generative Engine Optimization) focuses on getting your content cited and referenced by AI-powered search tools like Google AI Overviews, ChatGPT, and Perplexity. Both aim to increase visibility, but GEO emphasizes content quality, citations, and structured data over backlinks and keyword placement.

Is traditional SEO still important in 2026?

Yes. Traditional search engines still drive the majority of web traffic, and the fundamentals of good SEO — quality content, fast page speed, mobile-friendliness, and clean site structure — also tend to help with AI-search visibility. Think of AI-search optimization as an additional layer rather than a replacement for traditional SEO.

What is E-E-A-T and why does it matter?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is a quality framework Google uses to evaluate content. While not a single ranking factor, demonstrating these qualities — through clear authorship, credible sources, and accurate information — may help your content perform better in both traditional and AI-powered search results.

How can small businesses compete with larger websites in search?

Research suggests that AI-powered search may help level the playing field. A 2024 study found that smaller websites benefited disproportionately from GEO strategies like citing credible sources. Focusing on content quality, structured data, and topical depth in a specific niche may help smaller sites gain visibility even without the backlink profiles of larger competitors.

What is structured data and does it help with SEO?

Structured data (often implemented as JSON-LD) is code added to your website that helps search engines understand the context of your content. It can enable enhanced search result features like FAQ dropdowns and star ratings, and it helps AI systems extract and cite your information more accurately. Common types include Article, FAQPage, Organization, and BreadcrumbList schemas.

Should I hire an SEO professional?

It depends on your situation. If organic search is a significant source of business, if you are facing technical issues, or if you are in a competitive industry, working with a qualified SEO professional may be worthwhile. Google itself acknowledges that SEO professionals can provide useful services including site structure review, technical advice, and content strategy.

This guide reflects general practice as of its publish date and may not match every situation. It is not professional or legal advice — check current details before making a decision that affects your business.