The Algorithm You Did Not Hire Is Now Deciding Your Brand’s Reputation
In the Google world of ranking links, we aren’t used to search engines making recommendations. Today, the companies that get named, get bought.
A 47-year-old maple syrup company, invisible online for its entire existence, started receiving orders it couldn’t explain. Buyers were arriving at the checkout page with no search click, no ad impression, and no referral link that made sense. The source, when the team finally dug into their analytics, was ChatGPT.
One order was traced directly to the LLM recommendation. It was worth over $300. For a brand that had spent decades building reputation through farmers’ markets and word of mouth, the AI had become a source that none of their marketing spend had ever managed to be.
This is what the AI visibility actually looks like at ground level. Don’t expect too many projections or platform announcements; instead, receive a $300 order from a customer who chose a new digital search.
It Started Without a Starting Gun
For most of the internet era, marketing operated on a specific set of rules. You ranked on Google, or you ran ads. Either way, you knew what game you were playing and could measure whether you were winning. That framework is now only half the story.
ChatGPT reached 800 million weekly active users by late 2025, up from 400 million in February of that year.
TechCrunch
Perplexity is processing over 400 million queries per month.
NVIDIA
50% of consumers actively use AI-powered search during the buying process, and the reason for that is simple – users expect a direct answer.
McKinsey
These platforms share the same fundamental behavior: giving a short recommendation, including three to five names, and then the conversation moves on. And by the way, no page two alternative, no paid ad placement, and no obvious way to know if you’re on it. For brands, that means success is no longer only about being found, but also about being recommended.
75% of Brands Get Sales from ChatGPT
I lead The 66th, a Vancouver-based agency that started as an SEO shop and pivoted early into what practitioners now call GEO, generative engine optimization, the discipline of getting brands named inside AI-generated answers rather than only ranked in traditional search results.
75% of our AI-optimized clients are capturing direct, documented e-commerce sales or transaction revenue specifically from ChatGPT recommendations. The businesses are completely different in category, size, or stage. The only thing in common is that they were structured in a way AI systems could read, cite, and recommend, and their competitors were not.
A huge amount of companies are optimizing only for a system that is no longer the only one making decisions about them. Most of them still only have SEO dashboards, while there are now tools built specifically to track whether an LLM named your company when a buyer asked for a recommendation.
Liam Lytton
The businesses that treat AI visibility as optional are the ones who will wake up to the problem only after competitors have built a durable lead inside it.
A Brand Through AI’s Eyes
Only 12% of AI cited URLs rank in Google’s Top 10 for the original prompt.
Ahrefs
The AI results are certainly dependent on the SEO setup, but the two systems are still a bit disconnected. A brand can rank at position one on Google for its core category term and be entirely absent when a buyer asks ChatGPT which provider to choose.
What the AI is reading instead is the broader texture of a brand’s presence across the web: third-party coverage, review platforms, comparison pages, structured content that matches the way buyers phrase buying questions.
90% of AI citations driving brand visibility to earned and owned media, instead of paid placements.
Edelman
In 34,234 AI responses across 10 platforms, pages with well-organized headings are 2.8 times more likely to earn citations.
Superlines
Content featuring original data sees 28 to 40% higher AI visibility. And 44% of citations pull from the first 30% of page content, as structure and front-loading matter more than depth.
The practical implication is that a brand with a well-maintained presence in the right places can outrank a larger competitor inside AI answers even if it would lose the traditional SEO race. That is why more and more marketing agencies are taking a hybrid approach to brand visibility.
The Conversion Source Is Still Not Measured
There is a financial argument for moving on this that most businesses haven’t encountered yet, because they’re not tracking the right numbers.
A person who asked an AI a question, read a synthesized recommendation, and then chose to visit a website has already cleared multiple layers of consideration before arriving. That’s a meaningfully different kind of visitor, who is not browsing pages much.
The core problem is measurement here. Most analytics platforms misattribute ChatGPT referral traffic as direct. The revenue is there, while customers’ own dashboards confirm it, but it’s invisible to any standard reporting stack. Businesses are systematically underestimating the channel because the channel doesn’t announce itself.
Dedicated AI visibility trackers now exist to close this gap: platforms like Profound, Omnia, Scrunch AI, and SE Ranking that monitor brand mentions and citations specifically inside ChatGPT, Perplexity, Google AIO, and Gemini. They track which prompts surface your brand, where competitors are being named instead, and whether AI-referred visitors are actually converting. Most companies aren’t running any of them.
The algorithm you didn’t require is already deciding. The only question is whether it’s deciding in your favor.
