Why search is broken
(and what to do now).
Your marketing already drives consistent ROI, but your name isn’t being chosen in AI answers. The rules of visibility have changed. Here’s what happened, why it matters for your revenue, and what you can actually do about it.
By Anna Curry
10 min read
Updated July 2026
The playbook changed. Most businesses haven’t caught up.
F or years, SEO meant keywords, backlinks, and climbing the rankings to the top of search. Businesses poured time and money into blog posts and targeting keywords.
Search is broken because the results page stopped being the destination. AI answers now resolve the question before a customer reaches a website, which means visibility is no longer about ranking on a list. It is about being named inside the answer, and that depends on three things: clear entity relationships, structured data a machine can read, and content specific enough to be quoted.
Now AI-driven answers, zero-click results, and fragmented search experiences have upended the game. Google isn’t the only player anymore. ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and Gemini are the new first stop for most consumer decisions.
When you ask why your SEO isn’t working, the answer is that search itself has been rewritten. Your customers’ search patterns are changing. The good news is that visibility in this new era is still in the early days for local businesses.
None of what follows requires a bigger budget or a full rebuild. It requires understanding how these systems actually work, and then making deliberate choices. That’s what the rest of this guide is for.
AI Overviews vs. AI Mode. They aren’t the same thing.
Two Google products. Two different roles in your customer’s research.
AI Overviews is the AI-generated summary box at the top of a traditional Google results page. It answers a single query, cites a handful of sources, and lets the user click through for more. It launched broadly in 2024 and is now the default for most informational queries. Google has been rolling AI Mode access directly into the AI Overviews interface, so the two are increasingly reachable from the same search page.
AI Mode is Google’s full conversational search experience. It runs more like ChatGPT. The user asks, gets an answer, asks a follow-up, and the conversation builds. It’s designed for complex research like “we’re considering a lawn transformation, what should we be thinking about.” AI Mode pulls from multiple sources, synthesizes, and reasons through multi-turn questions.
The strategic difference still holds: AI Overviews captures one-shot intent. AI Mode captures the deeper buying journey. The distinction that’s blurring is where one ends and the other begins. Both matter. AI Mode increasingly matters more.
You’re publishing. Tweaking. Maybe paying an agency. But the results aren’t where they matter. Here are four reasons why.
Search has moved beyond ten blue links
Remember when ranking on page one of Google meant new business? Today that page looks nothing like it used to. AI Overviews summarize before the blue links appear. AI Mode answers entire conversations without surfacing a page at all. Featured snippets, local packs, map results, video carousels. A customer may touch five surfaces before they ever see a traditional blue link, if they see one at all.
A homeowner researching ‘what should I know before redoing my lawn’ might spend twenty minutes inside Google AI Mode in a back-and-forth about budget, sod types, and contractors. They never click through. The businesses cited inside that conversation are the ones that exist for that homeowner. The ones that aren’t, don’t.
AI systems don’t read like humans
Search engines and AI tools don’t read your blog post the way you do. They break it into passages, analyze meaning with embeddings, and connect it to knowledge graphs.
If you publish ‘Top 10 SEO Tips,’ AI doesn’t know it’s your perspective unless it’s tied to you as an entity. Your business name. Your services. Your location. Your proof points. Without that structure, your content joins the noise as a blog floating in the void.
Most SEO is built on outputs, not outcomes
A lot of agencies still sell SEO packages. X blogs, Y backlinks, Z hours of optimization. The problem? Those outputs aren’t tied to business outcomes. More blogs don’t equal more clients if none are mapped to revenue.
A law firm paying for five blogs a month gets posts about legal trivia, but none that connect to the case types they actually make money from. Traffic goes up. Leads do not.
Your content isn’t machine-readable
If your site doesn’t use schema, structured data, and internal linking, search engines and AI systems can’t connect the dots. It’s not just about what you say. It’s about how discoverable you are.
A page about ‘dentistry in Wilmington’ with no schema looks like plain text to AI. Add schema and suddenly Google knows it’s a service, in a location, offered by a specific business with reviews. AI can pull that directly into an answer. Without it, you’re invisible.
If your SEO isn’t tied to revenue, it isn’t working. If it isn’t machine-readable, it isn’t findable.
Before you read further, find out where you actually stand.
Pick your Google Business Profile category and your city. We will write the exact high-intent question a ready-to-buy customer would ask AI. Run it, and see whether you are in the answer.
Do not see your exact category? Type it anyway, we will still build the question.
If the answer names three businesses and you are not one of them, you were not on the shortlist when the decision got made. Screenshot what you see today, it is your baseline. Then run the same prompt in 90 days. More on how to read the answer →
SEO isn’t dead. It’s just different. Here’s how to win in the current landscape.
Start building visibility the way AI and modern search systems actually work. Four moves.
Shift from keywords to entities
AI doesn’t just index words. It builds a knowledge graph. Your business has to be connected to who you are (your brand, people, reviews), what you do (services, expertise), and where you do it (your market, locations).
Instead of just targeting ‘lawn care Wilmington,’ your content should connect your business name to your services to your service area to your proof points. That web of relationships is what makes you show up as the answer, not buried under one.
Make your content machine-readable
Structured data, schema, and strategic linking aren’t extras anymore. They’re the foundation. They tell AI systems how to understand and trust your content.
A guide like this one with FAQ schema can surface directly in Google’s AI Overviews or a Perplexity response. A plain blog post with no schema gets ignored.
Build revenue-tied editorial plans
Stop publishing content just to have a blog. Every piece should trace back to revenue. That means mapping content to services, locations, and real client journeys.
Instead of ‘5 Tips for a Better Lawn,’ a landscaping company publishes ‘How Much Does a Lawn Transformation Cost in New Hanover County in 2026?’ That ties directly to a service page, a local query, and a revenue opportunity.
Optimize for AI retrieval, not just Google
ChatGPT, Perplexity, AI Overviews, AI Mode, and Gemini are already reshaping how buyers decide. To be includable in answers, your brand has to be structured and trusted by those systems.
The platforms behave differently. AI Overviews wants a clean factual answer it can summarize in two sentences. Perplexity wants citation-ready passages. AI Mode wants a conversation that might span ten exchanges. Gemini wants context-rich answers with related entities. What they share: they reward clear entity relationships, structured data, and authoritative content. The work that makes you citable in one makes you more citable in all of them.
When someone uses AI Mode to research ‘we’re moving to Wilmington with kids, what should we know,’ the brands that surface across that conversation (the relocation specialist, the school-district experts, the pediatric dentist, the family-friendly real estate team) didn’t get there by accident. They built visibility across entities, schema, and authoritative content. Structural work that compounds.
None of this works without a business strategy.
Before you build a single cornerstone page or implement a line of schema, get clear on the business underneath it. Your revenue goals. Your competitive landscape. Who you’re trying to reach, and what makes you the right choice for them.
The businesses that win in AI search don’t get there by running a technical checklist. They get there because their differentiation is clear, their highest-value services are mapped, and their content is built around how their specific customers actually search and decide.
AI visibility is the distribution layer. Your business strategy is the foundation. Start with the foundation.
Visibility today means being includable in the answer, and the obvious choice once you’re there.
Theory is fine. Execution is what gets results.
Four examples of how this framework plays out across verticals.
Strategy first: diagnose what’s broken
Before touching content, map where visibility is failing. Audit against AI retrieval checkpoints. Are your services tied to your locations? Do your reviews connect back to your brand entity? Is your content fragmented, or does it build authority?
A local home services company had 40+ blog posts, none linked to their services. Restructuring the site so ‘lawn transformation’ content pointed directly to service and location pages shifted visibility from random blog clicks to qualified project leads.
Revenue-tied content: every asset has a job
Don’t create content for content’s sake. Each asset should connect to revenue. Build editorial calendars around services, client questions, and local markets, not randomly chosen industry topics.
A real estate team publishing ‘What to Know About Wilmington Insurance Rates’ isn’t just writing a blog. They’re answering the question relocation buyers type at the exact moment they’re weighing a move to the coast.
AI-ready structure: make it discoverable
Even the best content won’t surface if AI can’t read it. Implement schema, structured data, and internal linking so your expertise is machine-readable and retrievable.
Adding FAQ schema to a dental practice’s site meant their answers started appearing directly in Google’s AI Overviews, beating larger competitors who hadn’t bothered with structured data.
Continuous optimization: visibility is ongoing
This isn’t one-and-done SEO. Visibility requires consistent refinement as search evolves. Track what surfaces in AI, adjust editorial plans, and expand content hubs over time.
Peak Sodding keeps a cornerstone sod pricing page current for Wake County year over year. Staying accurate is what made it the source AI pulls from for cost questions in that market. Over five years that discipline took the business from $300K to $2.33M.
This isn’t about more blogs or more backlinks. It’s about every piece of your digital presence tying back to revenue, and being discoverable by machines.
Search is broken. Your visibility doesn’t have to be.
The businesses winning right now aren’t chasing keywords or pumping out blogs. They started with their fundamentals, defined their differentiation, structured their content for AI retrieval, and built a strategy that ties every piece of visibility back to revenue.
If your marketing feels like it’s stalling, it’s not because you’re doing something wrong. It’s because the game changed and most businesses haven’t caught up yet.
The work is knowable. Start with your business strategy, structure your content so machines can read it, and tie every piece of visibility back to revenue. That is the whole game.
Frequently asked questions.
What is AI visibility?
AI visibility is the practice of getting your business cited by AI platforms like ChatGPT, Google AI Mode, Google AI Overviews, Perplexity, and Gemini. It depends on three things: clear entity relationships that tell AI who you are and what you do, structured data that makes your content machine-readable, and content specific enough to be excerpted as an answer.
What is answer engine optimization (AEO)?
AEO is the practice of optimizing your business to appear inside AI-generated answers from platforms like ChatGPT, Perplexity, Google AI Overviews, AI Mode, and Gemini. It overlaps with traditional SEO but prioritizes entity building, schema markup, and answer-ready content over keyword density and backlink volume. We use AEO because the work is about being part of the answer itself, not just ranking near it.
How do I get my business cited by ChatGPT, AI Mode, or Google AI Overviews?
AI platforms cite businesses they can verify, understand, and trust. That requires clear entity relationships (who you are, what you do, where), structured data and schema, and content specific and authoritative enough to be excerpted. AI Mode adds one more layer: it favors sources that can answer follow-up questions, so content depth matters more there than for AI Overviews. Generic service pages and thin blog posts won’t get you there.
Do I need schema markup to show up in AI search?
Yes. Schema is how search engines and AI systems verify what your content is about. A page about dentistry in Wilmington reads as plain text without schema. With schema, the same page registers as a service, in a location, offered by a specific business, with reviews. That structure is what makes your content retrievable.
What is the difference between Google AI Overviews and Google AI Mode?
AI Overviews is the AI-generated summary box at the top of a traditional Google results page. It answers one question at a time and cites a handful of sources. AI Mode is the full conversational search experience, running more like ChatGPT with multi-turn conversations that build context across questions. Google has been integrating AI Mode access directly into the standard search interface, including from within AI Overviews itself, so the two are converging. The strategic distinction still holds: AI Overviews captures one-shot intent, AI Mode captures the deeper research journey. Both matter, and AI Mode increasingly matters more.
Is SEO dead?
No. SEO has evolved. The core principles of relevance, authority, and discoverability still matter. The way those signals are read has changed. AI systems build knowledge graphs, extract passages, and cite businesses based on entity relationships, structured data, and content depth. Businesses that adapt will win.
How long does it take to see results from AI visibility strategy?
Most businesses see citation shifts within 60 to 90 days when existing content and authority are in place. Building from scratch typically takes 4 to 6 months. AI systems need time to crawl, retrieve, and trust new content. This isn’t deterministic the way a Google ranking is. The same query can return different sources from one request to the next. The work improves your eligibility to be cited and the consistency with which you appear.
What is the difference between traditional SEO and answer engine optimization?
Traditional SEO optimizes to connect users directly with specific websites. AEO optimizes for inclusion in AI answers. The work centers on entity clarity, the structured data underneath your site, and content designed to be cited by AI models.
Anna Curry is the founder of Top of Search, a marketing consultancy in Wilmington, NC that helps owner-operated local businesses get cited by AI search engines. She has worked in marketing since 2008 and writes Cited, a weekly newsletter on AI visibility for local business owners.
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