Why a 44-Point Gap Divides the Drinks and Cigars Brands AI Can See

What do this week's readings actually show?

The AI Visibility Index this week tracks 11 brands with an average readiness of 59 out of 100. That midpoint is deceptive. Beneath it sits one of the widest spreads we have recorded in a single cohort: from a top score of 87 down to 32 — a gap of 55 points between the most and least prepared sites.

Readiness measures how well a brand's website is built to be found and cited by AI assistants such as ChatGPT, Gemini and Perplexity. It is not a popularity contest or a proxy for revenue. It is a structural reading of whether a machine can parse, understand and quote a site with confidence. On that measure, this week's field of drinks and cigars retailers is split into clear tiers.

Who leads the field, and by how much?

The AI Visibility Index itself sets the benchmark at 87, followed by The Whisky Shop at 76 — the clear leader among the retail brands. EGM Cigars takes third at 66, the only other name to clear the two-thirds mark.

The drop after that is steep. Hard To Find Whisky (57) and C.Gars Ltd (56) sit just below the cohort average of 59, close enough to be within reach of the leaders but not yet there. City Cigars (50) and The Drink Shop (48) hover around the halfway line. And at the foot of the table, Turmeaus Cigars scores 32 — a full 44 points behind The Whisky Shop and less than half its readiness.

The headline is not that any single brand is winning. It is that within one recognisable retail sector, some sites are built to be quoted by AI and others are effectively invisible to it.

Why does a 32 matter more than the average?

Averages flatter. A cohort average of 59 suggests a field in reasonable shape, but the number hides the tail. A brand scoring 32 is not slightly behind — it is operating in a different league of discoverability. When an AI assistant is asked to recommend a whisky retailer or a cigar specialist, it draws on the sources it can read and trust. A low-readiness site gives the model little to work with: thin structure, ambiguous product information, or content that resists clean extraction.

The practical consequence is stark. Two competitors can sell similar products to similar customers, yet one is routinely surfaced in AI answers while the other is passed over. That is the emerging fault line of generative search, and this week's spread — 76 at the top of the retail pack, 32 at the bottom — shows it opening up inside a single category. You can see the full standings on the Index.

Is the middle of the table safe?

No. The cluster around the average — Hard To Find Whisky at 57, C.Gars Ltd at 56, City Cigars at 50, The Drink Shop at 48 — is arguably the most consequential group to watch. These are brands that have done enough to be partly legible to AI but not enough to be reliably preferred. In a market where assistants tend to return a short, confident list rather than ten blue links, being the fourth or fifth most readable site often means being left out of the answer entirely.

The gap between The Whisky Shop at 76 and this middle tier is roughly 20 points. That is not an unbridgeable chasm. It is the difference between a site that has invested in structure, clarity and machine-readable content and one that has not yet made those moves deliberately. Our methodology sets out exactly what those signals are and how each score is built.

What separates a 76 from a 32?

The leaders are not necessarily bigger or better known. They tend to share more mundane advantages: clearly structured product and brand information, content written to answer real questions, and technical foundations that let a model retrieve and cite them without guesswork. The laggards typically fail on the basics — information that is present to a human reader but opaque to a machine.

This is the core lesson of generative engine optimisation. Visibility to AI is engineered, not inherited. A well-known name with a poorly structured site can score 32; a focused specialist that gets the fundamentals right can reach 76. The wider patterns behind these tiers are explored in the State of AI Visibility report.

What should brands take from this week?

Three things. First, know your number — the cohort average of 59 tells you nothing about where you personally stand in a field that ranges from 32 to 87. Second, treat the middle as a warning, not a comfort: a 50 is not half-visible, it is at risk of being skipped. Third, understand that the gap is closable. Readiness reflects choices about structure and content, and those choices can be changed.

The brands that act now will be the ones AI assistants cite next year. The rest will keep wondering why they are not in the answer.

Run a scan to see where your brand sits on the readiness scale — and what it would take to move up.