The 44-Point Gap: What Luxury Drinks and Cigar Brands Reveal About AI Readiness

What do this week's readings actually show?

The AI Visibility Index tracked 11 brands this week, landing on an average readiness score of 59 out of 100. That midpoint is the headline — but the real story is in the spread. Readiness measures how well a brand's site is built to be found and cited by AI assistants such as ChatGPT, Gemini and Perplexity. On that scale, this week's cohort runs from 87 at the top to 32 at the bottom: a 55-point canyon between the best-prepared site and the least.

An average of 59 tells you that the typical brand is doing roughly half the work required to be reliably surfaced in AI answers. That is not a failing grade, but it is a warning. When an assistant chooses which source to cite, it does not split the difference — it picks the site it can read, trust and quote most cleanly.

Who is leading, and by how much?

The Whisky Shop sets the pace among trading brands with a readiness of 76, a clear margin ahead of the field. EGM Cigars follows at 66, the only other brand to clear the two-thirds mark. Below them, the scores cluster tightly: Hard To Find Whisky at 57, C.Gars Ltd at 56, City Cigars at 50 and The Drink Shop at 48.

That clustering matters. Four brands sit within nine points of each other around the 50 line — close enough that modest, deliberate improvements could reorder the standings quickly. In AI search, small structural gains compound: clearer product data, cleaner page structure and machine-readable content can move a brand from "occasionally cited" to "consistently cited" without a single new product.

Where does the real exposure sit?

The bottom of this week's table is where the risk concentrates. Turmeaus Cigars registers a readiness of 32 — the lowest reading in the cohort and 44 points behind the leading trading brand, The Whisky Shop. A score in the low thirties signals that an AI assistant will struggle to parse, trust or quote the site with confidence, which in practice means the brand is largely invisible at the moment a buyer asks an assistant for a recommendation.

The Drink Shop at 48 and City Cigars at 50 sit just below the halfway point, meaning they are more often overlooked than chosen when an assistant assembles an answer. These are not obscure operators; they are established retailers in premium categories. Their position underlines the central finding of the Index: AI visibility is earned through site readiness, not brand heritage.

Why does a 55-point spread matter?

When readiness ranges this widely within a single week's cohort, it tells us that the field has not standardised. Some brands have built for a world where AI assistants are the first point of contact; others are still optimised for a search era that is receding. The 87 at the top of this week's table shows what is achievable; the 32 at the bottom shows what happens when AI readiness is left to chance.

The practical consequence is stark. Two retailers selling comparable whisky or cigars can receive radically different treatment from the same assistant — one quoted directly in an answer, the other absent entirely — purely because of how their sites are built. That is a distribution advantage decided before a customer ever compares price or range.

What separates a 76 from a 32?

The difference is rarely about spending more; it is about structure. Higher-readiness sites tend to present information AI assistants can extract cleanly: well-organised product detail, clear and self-contained descriptions, and content that answers the questions buyers actually ask. Lower-readiness sites bury that same information in formats assistants cannot reliably read.

This is the discipline of generative engine optimisation — building pages to be understood and cited by machines, not just ranked by them. The scoring behind every figure in this week's table is set out in our methodology, and the wider pattern across categories is traced in the State of AI Visibility report.

The takeaway for this week

An average of 59 across 11 brands is a field in transition. The leaders have proven that high readiness is attainable in premium drinks and cigars; the laggards show how quickly a brand can fall out of the answer entirely. The gap between 76 and 32 is not destiny — it is a measure of work done and work outstanding.

The brands that treat readiness as a standing metric, rather than a one-off audit, will be the ones AI assistants reach for first. The rest will keep wondering why the recommendations go elsewhere.

Want to know where your site sits on the 0–100 scale? Run a scan.