Websites Still Matter, Now More Than Ever

When I started Webdancers in 1995, the proposition was straightforward: a website connects your business or organization to its market. You put your information in one place. People find it. They contact you. If the site is clear and the information is useful, good things happen.

That idea has never stopped being true. But the path between “someone needs what you offer” and “they contact you” has changed significantly over the last 30 years, and if you’re not paying attention to how it’s changed, your website might be a lot less effective than it could be.

Here’s what’s happening.

A New Layer in the Middle

For most of the web’s history, the sequence was simple: someone goes to Google, types a question, sees a list of results, clicks a link, lands on a website. The website had one job: be there and be clear when a person arrived.

That sequence now has a new step. A growing share of searches are answered by AI systems before the person ever clicks anything. Google’s AI Overviews summarize answers directly on the results page. ChatGPT and Perplexity respond to questions about local businesses, services, and recommendations with synthesized answers — often without linking to a website at all, or linking only to the two or three sources they drew from.

According to research published by Seer Interactive in 2025, organic click-through rates dropped 61% for searches that trigger AI Overviews. At the same time, sites that are cited in those overviews earn 35% more clicks than they would from a comparable organic listing. That’s not a small difference. That’s the gap between being found and being invisible.

There are now two audiences reading your website: human visitors who click through and read your pages, and AI systems that crawl your content, evaluate how well it’s organized, and decide whether to cite you when someone asks a relevant question.

How Webdancers is Responding

The original mission of this company was to help businesses connect with their markets by giving them ownership and control over how they present their information. Your website is the authoritative source of information about your organization. No algorithm decides how you describe your services. No platform owns your content. You do.

That philosophy is exactly right for this moment. The AI systems that are now mediating information access are drawing from the web. They are reading your site — or failing to read it, in many cases. The website is still an authoritative source. But it has a new class of reader, and that reader has some specific preferences about how information is organized.

Building sites that serve both audiences — human visitors and AI systems — is not two separate tasks. It is the same discipline of clear structure, well-organized content, and technically sound code, applied with a more explicit understanding of who the audience is.

What AI-Ready Actually Means

I want to be specific here, because “AI readiness” (a.k.a. GEO, AEO, AIO, LLMO, AI SEO) is becoming one of those terms that gets used so loosely it stops meaning anything.

The technical foundation is semantic HTML: code that describes what things are, not just what they look like. A heading that is marked up as a heading, not just styled to look like one. A list that is structured as a list, not a series of paragraphs with bullet characters pasted in. Navigation that is labeled as navigation. Contact information that is tagged as contact information. These are the same characteristics that make a site accessible to someone using a screen reader, and they are exactly what AI systems use to parse and understand a page’s content.

On top of that foundation sits structured data, specifically a technology called schema markup, which allows you to add to your site’s content in a vocabulary that AI systems understand directly. Your business name, service area, hours, the type of work you do, your credentials — all of that can be marked up in a way that removes ambiguity. Instead of an AI system guessing what kind of business you are from your page copy, you tell it explicitly.

According to BrightEdge research published earlier this year, sites implementing structured data and FAQ blocks saw a 44% increase in AI search citations. Pages with schema markup are up to three times more likely to appear in AI Overviews. The gap between sites that have done this work and sites that haven’t is already measurable, and it’s growing.

As it always has, the content layer matters too. AI systems cite sources that answer questions directly and specifically. A site that describes what a business does in general terms is less likely to be cited than one that answers the actual questions prospective customers ask. That requires thinking carefully about how your content is organized — which is a strategic and editorial question, not just a technical one.

What We’re Launching

I’ve been building toward this for a while, and I’m ready to announce that AI Search Readiness is now a formal Webdancers service. Every new site and redesign built will meet the technical requirements I’ve described above: semantic HTML structure, schema markup, accessibility standards, and content organized around the questions both human visitors and AI systems are asking.

To assist with this, I’ve built a free, self-service AI Readiness Audit Tool, that runs a structured analysis of a site’s homepage and produces a report showing what’s working and what needs attention. If you want to see where your site stands, that’s the place to start.

On Measurement

To be honest, I’m seeing a lot of vendors in this space (and the SEO space before it) promising things they can’t deliver.

The measurement tools for AI citation are not as mature as those for traditional search. As of right now, there is no direct equivalent of Google Analytics for AI citations. Google Search Console is improving its AI Overview reporting, but the data is inconsistent and often not reported at all.

Here’s what is concrete and repeatable: I can query ChatGPT, Perplexity, and Google directly with the searches your prospective customers would realistically use, and document whether you appear. Perplexity is particularly useful here because it shows its sources visibly. We can establish a baseline before the work begins, run the same queries 90 days later, and compare the two. That is honest, it is documentable, and it is the kind of before-and-after comparison that can be shown to anyone who asks whether the investment was worth it.

In time, the measurement tools will catch up to the technology. Meanwhile, the fundamentals of what makes a site citable are already clear, and the results can be seen directly in Perplexity or Google AI Overview. I’d rather tell you that honestly than promise a dashboard that doesn’t exist yet.

The Same Mission, Expanded

I started this business because I believed that businesses and organizations should be able to control how they present themselves to their markets, rather than depending on platforms that could change the rules at any moment. That belief is more relevant in 2026 than it was in 1995.

The AI systems that are now gatekeeping access to information are drawing from websites. They are reading what you’ve published online, and deciding whether it answers the questions people are asking. Your website is still the foundation. The question is whether it’s built to be found, understood, and cited by all of its readers — including those that aren’t human.

That’s what I’m building now. If you want to know where your site stands, the audit tool is ready. If you want to talk about what comes next, you know where to find me.

AI disclosure: This post was developed with AI assistance. I use Claude (Anthropic) to synthesize notes and conversation threads into a working draft, which I then rewrite, expand, and edit before publication. All content reflects my own views and judgment.