How Richmond Businesses Can Win on Instagram Reels & TikTok in 2026
Table of Contents
TL;DR:
AI SEO (AI Search Engine Optimization) and traditional SEO (Search Engine Optimization) share the same goal (getting found online) but operate on different logic. Traditional SEO targets Google’s blue links. AI SEO targets the answers that tools like ChatGPT, Google’s AI Overviews, and Perplexity generate before a user ever clicks anything. You need both working together right now, not one or the other.
If you’ve been running a business for more than a year, you’ve probably noticed that Google doesn’t look quite the same as it used to. The top of the search results page now often contains a block of AI-generated text that answers the user’s question directly, before they click on a website. Beyond Google, millions of people are now going directly to ChatGPT, Perplexity, or Claude to find local contractors, ask for restaurant recommendations, or research which law firm to call.
That shift has changed what good SEO actually looks like in 2026. The question isn’t whether AI SEO (AI Search Engine Optimization) will replace traditional SEO. It won’t, at least not entirely. The question is how these two approaches differ, where they overlap, and what a small or mid-size business actually needs to do about it.
What Traditional SEO Was Built To Do
Traditional SEO is built around how Google’s algorithm reads and ranks web pages. It involves a set of practices that most business owners have at least heard of: optimizing your pages for specific keywords, building backlinks from other websites, making sure your site loads fast, and earning enough authority over time that Google pushes you toward the top of search results.
It works through a clear chain. Someone types a query. Google crawls its index, weighs hundreds of signals, and delivers a ranked list of blue links. Your job is to show up high enough on that list that the person clicks your result.
The fundamentals of this approach haven’t changed much in a decade. On-page content, technical health, backlinks, and user experience signals are still the backbone of ranking. What has changed is the level of competition and the sophistication of what Google rewards. Thin content, keyword stuffing, and cheap link schemes no longer work. Google’s systems are good enough to recognize genuine depth and authority, and they reward it accordingly.
For a local plumber in Chesterfield County or a personal injury law firm on West Broad Street, traditional SEO is still the engine that drives most of their organic visibility. The Map Pack, the local search results, the organic listings below it: that’s all traditional SEO territory, and it matters enormously. If you want to understand what that work looks like in practice, our SEO services page lays out how we approach it.
What AI SEO Actually Means
AI SEO is a newer term, and it’s being used in a few different ways. At its core, it means optimizing your content and improving brand presence so that AI-powered tools cite, reference, or recommend you when generating responses to user queries.
The clearest example right now is Google’s AI Overviews, the summaries that appear at the top of many search results pages. When someone asks Google “what’s the best type of HVAC system for a Virginia home,” Google may generate a paragraph-length answer drawn from several websites, citing them as sources. If your HVAC company’s content is the source Google pulls from, you get visibility even if the user never clicks through to your site. If you’re not the source, you might rank well in traditional search and still be invisible in that AI answer.
The same dynamic plays out across tools like ChatGPT, Perplexity, and Microsoft Copilot. These systems are trained on web content and updated with browsing capabilities. When a user asks one of them to recommend a good family dentist in the Richmond area, or to explain what questions to ask a contractor before a kitchen remodel, the tool pulls from sources it considers credible and authoritative. It doesn’t return a list of ten results. It gives one answer, maybe with a few citations.
This is a meaningful change. In traditional SEO, being ranked fifth or sixth still gets you some traffic. In AI-generated answers, you’re either in the response or you’re not.
According to a 2025 study from SparkToro and Datos, a growing share of Google searches now result in zero clicks, as users get the information they need directly from AI Overviews without visiting any website. That number continues to rise. The implication for businesses that rely on organic traffic is significant.
Where the Two Approaches Actually Differ
The distinction isn’t about which technology you’re using. It’s about what you’re optimizing for.
Traditional SEO optimizes for ranking signals: keyword relevance, domain authority, backlinks, technical performance, and click-through rate. The goal is to convince Google’s algorithm that your page deserves a top position in a list.
AI SEO optimizes for citation and credibility signals: clear, authoritative answers to specific questions; a strong brand presence across the web and social media; structured content that AI systems can easily parse; and a track record of being referenced by other credible sources. The goal is to convince an AI system that your content is the right thing to surface when someone asks a related question.
Here’s where it gets practical: A restaurant in Scott’s Addition that wants to show up when someone searches “best brunch spots in Richmond” still needs traditional SEO: a well-optimized Google Business Profile, consistent NAP data, reviews, local backlinks. But if that same restaurant wants to be mentioned when someone asks ChatGPT for brunch recommendations in Richmond, it needs something slightly different: content that clearly establishes its identity and menu specialties, mentions across food publications and local review sites, and enough brand signals that an AI model has learned to associate that name with that category.
Need help optimizing your business’s Google Business Profile?
Our guide explains how to optimize your Google Business Profile step by step so your business has a better chance of showing up when local customers are searching.
The underlying infrastructure overlaps substantially. A well-structured, authoritative website with genuine content still matters for both. But the specific tactics diverge at the edges.
The Tactical Differences That Matter for Small Businesses
If you’re running a mid-size business and trying to figure out what to actually do, here’s where the work differs:
Content depth and directness
Traditional SEO rewards content optimized around keyword variations and topic clusters. AI SEO rewards content that directly and clearly answers specific questions. This means writing less about what keywords to target and more about what questions your ideal customer is actually asking, then answering those questions thoroughly and without hedging. A healthcare practice that publishes a clear, well-sourced guide on what to expect during a first cardiology appointment is doing AI SEO right, even if they never thought of it that way.
Brand mentions across the web
AI systems learn from the entire web, not just from individual pages. If your business is mentioned frequently in local news, industry blogs, review platforms, and directories, you become part of the training data those systems draw from. This is different from backlinks in the traditional sense, though there’s overlap. It’s about building a presence that AI systems recognize as real and credible.
Structured data and schema markup
This matters for both, but particularly for AI. When your website uses structured markup (telling search engines and AI crawlers exactly what type of business you are, what services you offer, where you’re located, what your hours are), you make it much easier for AI systems to accurately represent you. A law firm that uses proper schema can be surfaced correctly when someone asks an AI what family law attorneys in Richmond handle custody cases.
Reviews and reputation signals
Traditional SEO cares about reviews primarily for local pack rankings. AI SEO cares about them as signals of trustworthiness and community standing. The same review strategy serves both, but the bar for consistency and volume has risen.
Your website's technical foundation
A slow, cluttered, or hard-to-crawl website hurts you in traditional search. It also makes it harder for AI crawlers to index and understand your content. A solid website design that loads fast, uses clear headings, and structures content logically is foundational for both approaches.
What Businesses Are Getting Wrong Right Now
The most common mistake we see is treating AI SEO as a separate project, something to think about later, or something only relevant to large brands or tech companies. It’s not! If your business relies on people finding you through search (as most businesses do), the shift toward AI-generated answers is already affecting your traffic, whether you notice it or not.
The second mistake is abandoning traditional SEO in favor of chasing AI visibility. That’s premature. Google still delivers billions of clicks per day through traditional search results. The Map Pack still drives calls for local businesses. The two systems coexist, and they will for a long time. The businesses that position themselves well are building content and authority that works across both channels simultaneously.
A contractor in Henrico doesn’t need to choose between ranking in Google Maps and being cited by Perplexity. Good content, a well-maintained Google Business Profile, consistent local citations, and genuine authority in their category will serve both. The work is more layered than it was five years ago, but it’s not as separate as it might seem.
If you want support navigating what this looks like for your specific business, check out our AI Search Optimization services.
Foundations and Expansions
Traditional SEO taught us that you build visibility by earning it: through useful content, a trustworthy website, and a consistent presence in your market. Those principles haven’t changed. What’s changed is the number of surfaces where that credibility gets tested and displayed.
Ten years ago, you needed to rank on page one of Google. Five years ago, you needed to hold a position in the Map Pack. Today, you also need to be the kind of business that an AI system confidently cites when someone asks a relevant question. That’s a higher bar in some ways. But for businesses that have already been doing the real work of building authority and creating content that actually helps people, it’s not a reinvention. It’s an expansion.
The businesses that will struggle are the ones that relied on thin tactics: exact-match keyword stuffing, purchased links, and template content with no real substance. AI systems are less susceptible to those shortcuts than Google’s algorithm was, even in its earlier form.
If your SEO strategy has been built on genuine content, a clean site, and real credibility signals in your market, you’re already partway there. The next step is to understand how AI systems read and surface your content and to make intentional adjustments to close the gaps. That’s work worth doing now, not after your competitors figure it out.
Ready to understand what this looks like for your business specifically?
Reach out to the team at FreshMove Media for a free exploratory meeting where we take a look at where you stand.