AI Optimisation Statistics: How to Measure If Your Brand Is Growing in AI Search
This guide was produced by AI, TELL ME!, a Berlin-based AEO and GEO agency with its own AI search monitoring platform.
Summary
Most brands checking their AI search performance ask a single question once and stop there, comparing one ChatGPT answer against nothing at all, which is why so few can say with confidence whether their AI optimisation work is paying off. This piece works through the statistics that indicate genuine movement: how fast AI search is growing by industry, which visibility metrics shift meaningfully over weeks rather than by chance and what a realistic growth curve looks like from close to zero. It also covers the sampling problem behind most self-run checks, where a handful of prompts run once tells a brand almost nothing.
A brand can spend months on AI optimisation and still have no answer to the only question that matters, whether any of it changed how often LLMs (large language models) mention, cite or recommend it. Search marketing solved this decades ago with rank trackers that logged position weekly, turning growth into a line on a chart. AI search has no default equivalent, so most brands run a ChatGPT prompt once, screenshot the result and call it an audit, though that single screenshot is one draw from a system that answers differently nearly every time, leaving no basis for saying visibility moved.
That matters once budget is attached to the work, since a team reporting on AI search needs a number that moves in a defensible direction, not screenshots that look better this month. The statistics below split into two kinds: market-level numbers, showing how fast AI search is expanding, and brand-level numbers, showing whether a brand is keeping pace with it.
AI Optimisation Statistics: How Fast Is AI Search Growing
A brand that gained a handful of extra mentions this quarter has grown in absolute terms, but whether that is meaningful depends on how fast its category is moving. Pew Research Center's June 2026 survey found ChatGPT use among American adults rose from 18% in 2023 to 44% in 2026, while overall AI chatbot use climbed to roughly half the adult population, up from a third in 2024, doubling in three years and leaving a static brand losing ground every quarter.
Traffic referred from AI sources is growing faster than usage figures alone suggest. Adobe's Q2 2026 AI-sourced traffic analysis recorded these year-on-year growth rates by sector for the first quarter of 2026:
Sector | YoY growth in AI-sourced traffic (Q1 2026) |
Retail | +393% |
Travel | +233% |
Financial services | +158% |
Media and entertainment | +84% |
Tech and software | +63% |
The same analysis found AI-referred visitors, who converted at roughly half the rate of other traffic a year earlier, were converting 42% more than non-AI traffic by March 2026, which is the argument for treating AI optimisation as a revenue channel rather than a visibility exercise.
Which Statistics Signal Genuine Brand Growth
Market growth explains the tide, not whether a specific brand is rising with it or being left on the sand. A smaller set of brand-level statistics, covered in What Does AEO Monitoring Measure?, matters more and only means something tracked repeatedly. For growth specifically, watch:
inclusion rate, the share of relevant prompts the brand appears in, tracked month over month;
citation rate, how often the brand's content is the source behind a mention rather than named from memory alone;
share of voice, mention frequency relative to named competitors;
sentiment and framing, whether the brand reads as a leading option, a secondary one or an outdated one;
cross-platform consistency, whether gains on one LLM are matched on others.
A rising inclusion rate with a flat citation rate usually means the brand is becoming more familiar to the model without becoming more trusted as a source. Reading the metrics together, rather than whichever one moved favourably that month, separates an honest growth read from a selective one.
How to Read Growth Without Fooling Yourself
The hardest part of measuring AI visibility statistics is knowing when a change means anything, since collecting the numbers is the easy part. A brand appearing in six out of ten prompts this week and eight next week has not necessarily grown; it may sit on the higher end of normal variance for a system that never repeats an answer.
Three rules keep growth statistics honest: use the same prompt set every time, covering category queries rather than only branded ones; run each prompt several times per cycle, since one pass through ten prompts is too small to separate a trend from variance; and compare against a fixed baseline, since month-to-month checks alone can hide a slow decline.
This is the same discipline behind how to check if ChatGPT recommends your brand: a single check is a starting point, not a trend, and only a trend answers whether a brand is growing.
What Realistic Growth Looks Like at Each Stage
There is no universal target inclusion rate, since it depends on category and competitive density, but the stages below describe how growth typically progresses once a brand starts on its GEO Monitoring baseline and the AI optimisation work GEO Readiness flags as missing.
Stage | Typical inclusion rate | Typical citation rate | What it usually indicates |
Starting point | Under 15% | Near 0% | Largely absent from category prompts |
Early progress | 15% to 35% | Low single digits | Site fixes landing, third-party signal thin |
Established | 35% to 60% | Teens to twenties | Cited consistently, not named alone |
Category leader | Above 60% | High versus competitors | Default reference across prompts and platforms |
Movement between stages rarely happens evenly. Technical fixes show up in inclusion rate within weeks, while citation rate and sentiment lag, since they depend on third-party sources being indexed and re-surfaced by the model.
FAQ
How often should AI visibility statistics be checked to see genuine growth?
Monthly is the practical minimum for most categories, giving enough time for genuine change to outweigh answer variance. Fast-moving categories often warrant a check every two weeks.
Can a brand's AI visibility grow even if its Google ranking stays the same?
Yes, and this is common, since AI optimisation and search ranking respond to different signals. A brand can gain ground in LLM answers through third-party citations or clearer category positioning without any change to its organic position.
What is a good citation rate for a brand new to AI optimisation?
Anything above zero is a starting point worth building from, since most brands new to this begin near zero. The relevant comparison is the brand's own rate months earlier, not an industry average.
Do AI visibility statistics vary by which LLM is used?
Considerably, since citation behaviour and which brands get mentioned can differ sharply between models, which is why cross-platform consistency is a core growth metric.
Tracking these statistics without a systematic method is where most brands lose the thread, checking sporadically or reacting to single data points that turn out to be noise. AI, TELL ME! runs AEO Monitoring against a consistent prompt set across the LLMs a brand's audience relies on, then pairs that trend with a GEO Readiness diagnosis of why the numbers move.
If you want to see how AI currently describes your clinic, device or treatment and where run a free AEO Monitoring check at aipleasetellme.com.
