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It wasn’t that long ago that if someone wanted to learn about your organisation, they’d probably type your name into Google, click your website and have a browse.
But now, they might never visit your website at all. They might get their answer from an AI-generated summary at the top of Google, ask a question through Microsoft Copilot, or type a query into ChatGPT:
“Where can I find accredited CPD courses?”
“How do I become a chartered professional?”
“Which membership organisation offers networking events for marketers?”
They’ll read the answer, maybe ask a follow-up question, then move on. Somewhere in that answer, your organisation might be mentioned. Or it might not.
That’s what’s making organisations nervous. It isn’t AI itself, it’s that the rules suddenly feel much less clear than they used to.
The truth is, there isn’t a secret formula for appearing in AI-generated answers. There are things you can control, things you can influence, and plenty of things you simply can’t.
Understanding the difference is a much better use of your time than chasing the latest AI optimisation hack.
Traditional search engines were designed to help people find pages, while AI assistants are designed to answer specific questions.
To do that, they often pull together information from multiple sources before generating a response.
Imagine asking five colleagues the same question.
One remembers something they read on your website. Another remembers an industry report. Someone else recalls a Reddit discussion from six months ago. A fourth references a conference presentation, while the fifth has stitched together a handful of different opinions they’ve read online.
The answer you get is a blend of everything they’ve seen. That’s not exactly how AI works, but it’s close enough to explain why organisations can’t simply optimise one webpage and expect perfect results.
The good news is that you have more influence than you might think – just not in the way some headlines suggest.
The main thing you can control is your own website’s content: clear language, logical page structures, useful headings and accurate information. Content that answers real questions instead of chasing keywords.
These have always been signs of a great website, and AI hasn’t changed that (if anything, it’s reinforced it).
Think about the last time you landed on a page full of broken links, outdated screenshots or references to products that no longer exist. It doesn't take long before you start questioning how reliable the rest of the content is.
AI systems are looking for many of the same signals we are as humans. Content that’s actively maintained is generally a stronger indicator of authority than content that’s been left untouched for years.
In many ways, AI isn’t creating content problems. It’s exposing the ones that were already there.
Most organisations have accumulated years of blogs, landing pages, resource hubs and campaign content. When that information becomes easier to surface through AI, outdated, duplicated or conflicting content becomes much harder to hide.
For most organisations, this means the real priority is not producing more content. It is getting better at maintaining what already exists. That might mean auditing pages that haven't been reviewed in years, consolidating resources that cover the same ground, or retiring content that no longer reflects your current expertise. These are not glamorous tasks, but they are often where the greatest gains are found.
Of course, making content easier to discover does not mean making everything accessible to AI tools. Member-only resources, protected guidance and other restricted content should still be treated carefully, including decisions about whether particular crawlers should be allowed to access them at all.
We’ll explore that in more detail in the next article, where we’ll look at the practical steps organisations can take to protect sensitive or member-only content in an AI search environment.
Your website isn’t the only signal AI systems can use. Things like structured metadata, clear information architecture and emerging standards like llms.txt (where supported) can all help AI tools better understand your organisation and its content. Traditional controls like robots.txt also allow you to manage how certain AI crawlers access your website.
While none of these guarantee that an AI assistant will mention your organisation, they do provide clearer and more structured information for AI systems to work with.
Keeping information consistent, well organised and actively maintained also makes it easier for both people and AI systems to understand what your organisation actually knows.
This is where some of the louder conversations about AI search become less helpful. Spend five minutes on LinkedIn and you’ll probably find someone claiming they’ve “cracked” AI search. If there were a magic "appear in every AI answer" button, we'd all be pressing it.
The reality is that AI assistants don’t work to a published ranking formula in the same way traditional search engines do.
Even if your website contains the best answer, an AI assistant might choose to reference another source, combine information from several places or summarise your content differently to how you’d describe it yourself. It’s frustrating, but it’s also outside of your control.
The same goes for historic training data. Blocking AI crawlers won’t remove information that models have already learned, and even when your content is used, people may get the answer they need without ever needing to click through to your website.
You don’t need a completely new playbook. In reality, the fundamentals haven’t changed nearly as much as some people suggest.
Twenty years ago, we were all trying to understand Google. Now, we’re trying to understand AI assistants.
So while the technology has changed dramatically, the goal hasn’t. People are still looking for reliable answers, and organisations are still trying to make sure the right information reaches the right audience.
No one knows exactly how AI search will continue to evolve over the next few years, but what we do know is this: organisations with clear, well-managed content will always be in a far stronger position than those chasing the latest trends.
That's why we don't see AI search as a reason to rethink everything. Instead, it's a reminder to spend as much time improving the content you already have as creating something new.
Good content has always been, and will continue to be, one of your strongest assets.
Whether you're reviewing your existing content, planning a wider content audit or looking for ongoing optimisation through our Marketing as a Service approach, we help membership organisations keep their content clear, relevant and ready for the changing ways people discover information. over time.