For years, businesses have chased a familiar goal: being “number one on Google”.
It became the benchmark of online success. Agencies promised it. Business owners demanded it. Entire industries grew around achieving it.
Today, however, a new phrase is beginning to appear in marketing conversations.
“We’re number one on AI.”
It is an understandable claim. It is also one that deserves a little explanation.
Search Has Changed. The Principles Have Not.
Traditional search engines present a list of results. Although those results have become increasingly personalised over the years, the concept of ranking has remained familiar. Users expect to see a list, usually with the “best” or most relevant pages near the top.
Large Language Models, often abbreviated to LLMs, work differently.
Rather than presenting a ranked list of websites, an LLM analyses a user’s question and generates a response based on its understanding, the context of the conversation, trusted information available to it and, in some cases, information retrieved from the web.
In other words, it is not simply searching for pages. It is attempting to answer the question.
That difference changes everything.
There Is No Universal Number One
One of the biggest misconceptions surrounding AI is the idea that every user receives the same answer.
They do not.
If two people ask exactly the same question, their responses may differ because of factors such as previous conversation history, saved preferences, the way the question is phrased and the information available at that moment.
This means there is no single, universal “number one” position in an AI-generated answer.
A business may appear prominently in one conversation and not in another. That does not necessarily mean anything has gone wrong. It simply reflects the fact that AI systems generate contextual responses rather than fixed rankings.
For businesses, this represents a significant change in thinking.
From Rankings to Relevance
For many years, digital marketing revolved around a simple question:
“Where do we rank?”
AI introduces a more important one:
“Are we trusted enough to be included in the answer?”
That is a subtle but profound shift.
Visibility is becoming less about occupying a permanent position and more about being recognised as a reliable, authoritative and relevant source when it genuinely helps answer a user’s question.
The Advice Was There All Along
Perhaps the biggest surprise is that very little of this is actually new.
For years, Google published guidance encouraging website owners to focus on creating helpful, accurate and user-focused content.
The advice was remarkably consistent.
Build websites that are easy to navigate.
Publish information that is genuinely useful.
Be clear about who you are.
Demonstrate expertise.
Earn trust.
Avoid shortcuts designed solely to manipulate search rankings.
Some people embraced that guidance.
Others looked for faster routes, relying on outdated techniques such as keyword stuffing, thin content or publishing large volumes of low-quality material simply to increase traffic.
Those approaches may have delivered short-term gains in the past, but they rarely created better websites for real people.
Good SEO Was Never Just About Search Engines
One of the longest-running misconceptions has been that SEO is something added after a website has been built.
In reality, effective SEO has always been woven into good web design.
Clear navigation.
Logical page structure.
Fast loading.
Accessibility.
Useful content.
Mobile-friendly layouts.
These are not separate disciplines. They contribute to both discoverability and user experience.
Good SEO has never been about pleasing Google. It has always been about helping Google recognise a website that deserves to be recommended, while making the whole experience better for the user.
That principle is becoming even more relevant in the age of AI.
Quality Over Quantity
Another lesson becoming increasingly important is that more content does not necessarily mean better results.
Publishing hundreds of articles generated with little thought, originality or expertise may create the appearance of activity, but it rarely builds authority.
Users recognise quality.
Search engines increasingly recognise quality.
AI systems are becoming better at recognising quality too.
The organisations most likely to succeed are not necessarily those producing the greatest volume of content, but those consistently providing the most valuable answers.
Trust Is Becoming the Most Valuable Asset
The internet has always rewarded trust, even if that was not immediately obvious.
Today, trust is becoming one of the strongest signals of all.
Businesses that invest in expertise, transparency, accuracy and genuinely helpful information are building something that benefits not only search engines, but also AI systems and, most importantly, their customers.
Technology will continue to evolve.
Search engines will improve.
AI will become more capable.
The underlying principle, however, remains remarkably consistent.
The businesses that deserve to be recommended are usually the ones that deserve to be trusted.
That was good practice yesterday.
It is good practice today.
It is likely to remain good practice for many years to come.
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