A few months ago, someone asked ChatGPT for a tool recommendation in a specific niche. It spat out three names. None of them belonged to the brand that should have been there. No click. No consideration. Just silence.
That tiny moment is the whole future of search in miniature, and I came across a sharp breakdown of it from a LinkedIn creator who’s tracking how fast this shift is moving. The post’s author calls out a simple truth: if you’re still sleeping on ranking inside AI search platforms, you’re going to get left behind.
The shift already happening
We’re moving into the era of AEO, Answer Engine Optimisation. Instead of ranking on a page of blue links, your brand has to earn a spot inside the answer an AI gives a buyer.
Here’s what this industry pro flagged from the current data:
- 1,850% lead growth: one company saw this increase by focusing on AI search platform results.
- 3x conversion: AI-driven leads are converting at three times the rate of traditional search.
- The new funnel: buyers ask an AI, get an answer, click the link, and buy.
If you’re not inside the LLM’s pool of preferred recommendations, you’re losing the race before it even starts.
Why this matters for the next 1-3 years
No mention on AI search platforms means no clicks, no “maybe,” no trust. Just invisible to your customers.
Think about where this trend lands by 2027 or 2028. Buyers are already reaching for ChatGPT, Perplexity, and Gemini before they touch Google. As those habits lock in, the brands baked into AI answers will compound attention the same way top-ranked sites compounded SEO traffic for the last twenty years.
The scary part? LLM “preferences” are stickier than search rankings. Once a model learns to recommend three tools in your category, breaking into that shortlist takes deliberate work. Your competitors who start now will be the default answers by the time most companies wake up.
What to do this year to stay visible
The creator laid out the core moves, and I’d stack them like this:
- Audit how often your brand currently shows up in AI answers across your key buying questions.
- Identify which competitors are capturing your “share of voice” inside ChatGPT and Perplexity.
- Fix the gaps: publish the content, comparisons, and structured information LLMs actually pull from.
- Track AI mentions as a real KPI alongside traditional rankings.
The mind behind this post also pointed to a new AEO tool HubSpot just dropped that surfaces exactly this: how often you appear in AI recommendations, which competitors are winning share of voice, and what to fix to get recommended more often. Handy if you want a starting point instead of building the tracking yourself.
My take
I was genuinely struck when I saw these numbers laid out so cleanly. The 3x conversion stat is the one that sticks with me. AI-driven leads close better because the AI has already pre-qualified the buyer, explained the category, and handed over a short list. You’re not fighting for attention anymore, you’re fighting to be one of three names.
That’s a smaller door. And it’s closing faster than most teams realise.
The takeaway from this savvy professional is simple: stop optimising only for traditional search rankings and start optimising for AI output. The brands that plant their flag inside answer engines over the next twelve months will own the default recommendations for years.
Check out the full LinkedIn post for the creator’s exact breakdown and the tool they recommend to audit your AEO presence.