Over the last 12 months, almost every leadership conversation we’ve had about AI has gone in the same direction.
How do we make the business more efficient? Where can we automate? How much time can we give back to teams?
All important questions.
But there’s another question that matters just as much, and it doesn’t get asked nearly enough:
What happens to your brand when your customers stop searching the way your dashboards say they do?
That question is the reason we’re launching OutrankLLM.
The bit most teams are missing
A few numbers to set the scene:
Roughly 60% of people now use AI tools like ChatGPT, Gemini or Perplexity to find information.
For under 30s, it’s around 75%.
On Google, close to 70% of searches are now “zero‑click” when AI summaries or rich results answer the question on the page.
So your customers are still:
Looking for answers
Comparing options
Trying to work out who they can trust
They’re just not always landing on your website to do it.
Instead, more of that behaviour now happens
Inside Google AI Overviews / AI Mode
Inside ChatGPT, Gemini, Claude and Perplexity
Inside AI features quietly embedded in products and devices
Search hasn’t gone away. It’s been rerouted through AI. And those AI layers now sit between your customers and your brand.
Traditional SEO doesn’t see this
Most tools and reports are still tuned for one question:
“Where do we rank in Google, and how many clicks did we get?”
That’s useful, but incomplete.
When a customer asks an AI tool a question, the experience looks very different:
They get one synthesised answer, not a page of links.
At best, three to five brands might be mentioned or linked.
Often, there’s no click at all – the decision is made in the chat.
If you’re not one of those few brands that appears, you’re not “on page two”. You’re not in the conversation.
What we’ve seen with clients:
Organic traffic looks “a bit soft” or “flat”, even when marketing activity is solid.
AI layers are quietly doing more of the work that used to happen on your site.
There’s no clear way to see how often your brand is surfaced in those AI answers – or how that compares to your closest competitors.
That’s the visibility gap we built OutrankLLM to address.
What OutrankLLM focuses on
OutrankLLM is an AI visibility platform. It’s designed around three very simple questions:
When customers use AI to search in your category, how often should you be part of the answer?
How does your domain compare to your top three competitors from an AI model’s point of view?
What exactly should you change to improve that position?
To get there, we do three things.
1. Start from real customer searches
We begin with likely customer behaviour:
The queries and intents you already see in search data
The kinds of prompts people now put into ChatGPT, Gemini and others
It’s the same “jobs to be done” lens we use in our consulting work – just applied to how people phrase those jobs in AI tools as well as Google.
2. Look at your domain like an LLM
We then analyse your site – and your top three competitors – the way a model does:
Do you actually answer the key questions customers ask?
Is the content clear, structured and easy to extract from?
How strong is your topical coverage and depth?
How fresh and trustworthy does it look?
The internal question is:
“If I were ChatGPT or Gemini, and I had to build an answer to this question right now, how likely am I to lean on your content versus someone else’s?”
3. Turn that into scores and actions
Finally, OutrankLLM turns that analysis into:
An AI visibility score for your domain on each intent
Comparative scores for your top three competitors
A prioritised list of corrective actions, for example: Pages where you need a short, direct answer block at the top Topics where your competitors are clearly the better source Content that needs restructuring or updating to be usable by AI Areas where you need more depth to be seen as an authority
The goal isn’t another pretty dashboard.
The goal is a practical roadmap to stop being invisible when customers use AI to search.
Efficiency is only half the AI story
A lot of the current AI conversation is framed around:
Saving time
Automating tasks
Reducing cost to serve
Those are all useful. We work on them with clients every week.
But you can take 20% cost out of a process and still be in trouble if, at the same time
Your next generation of customers is learning to “ChatGPT it” first
Clicks from traditional Google results are dropping on the queries AI now answers directly
Your competitors are the ones being named and cited in those answers
Internal efficiency is only half the story. External relevance is the other half.
At JOURN3Y we focus on both halves.
Why this fits JOURN3Y
Our work has always sat at the intersection of:
o Customer and brand – what experience you’re trying to deliver
o Data – what you actually know and can act on
o Technology and AI – the tools that make it executable
OutrankLLM is simply that same thinking, pointed at a new problem:
o It gives you a clear, quantitative view of how present your brand is inside AI‑driven search.
o It sets that view against the three competitors that matter most.
o It translates it into concrete actions your marketing, product and content teams can actually ship.
AI will keep changing how people search, learn and decide. That part isn’t optional.
The part you control is where your brand shows up when they do.
So the question we’re now asking clients is: