AI Discovery Audit for Spirits Brands
A practical AEO audit that shows how your brand, competitors, and category appear when consumers ask AI what to drink, buy, mix, gift, or try next.
The Four Lenses of the Audit
AI discovery is not just about whether your brand shows up. It is about understanding where it shows up, why it shows up, what story is being told, and what is shaping the answer. The audit looks at your brand through four connected lenses.
Category Lens
What are consumers asking AI about the category?
We identify the questions people are asking by cocktail, occasion, price, flavor, quality, beginner needs, comparison, gifting, and drinking moment.
This shows which conversations matter most and where demand is forming.
Narrative Lens
What is AI saying about the brands it recommends?
We look at the language, claims, associations, proof points, and category cues attached to your brand and competitors.
This shows whether your intended story is coming through clearly — or whether AI is telling a different story on your behalf.
Brand Lens
Which brands are being recommended?
We map which brands show up across those questions, where your brand appears, where competitors are winning, and where your brand may be missing or under-leveraged.
This shows how visible your brand is within the moments that matter.
Source Lens
What sources are shaping the answers?
We identify the types of sources influencing AI recommendations, including reviews, rankings, cocktail guides, retailer pages, media, forums, brand-owned content, and category education.
This shows where your story needs to be stronger, clearer, or more visible.
Together, these lenses help brands move from
“Are we showing up?”
to
“What should we do next?”
Why AI Discovery Matters
Consumers are not only searching for spirits brands. They are asking AI for help choosing what to drink, what to mix, what to gift, and what is worth trying next.
For brands, that creates a new challenge: knowing whether they are showing up, how they are being described, and what sources are shaping the answer.
01 The answer set is limited
AI does not present every possible brand. It usually serves a small set of recommendations, which means visibility in the right questions matters.
02 The story is built from many sources
Your brand may be shaped by reviews, retailers, cocktail guides, rankings, media, forums, brand-owned content, and category education — not just your own messaging.
03 The opportunity is actionable
The goal is to understand what your brand is known for, where competitors are winning, and what to change across story, content, and visibility.
What You Receive
The audit is designed to give brands a clear, usable read on how they show up in AI discovery — and what to do next.
Instead of another research report that creates more questions, the output is built to help teams make sharper decisions about story, content, visibility, and competitive focus.
Prioritized Question Map - A clear view of the consumer questions shaping AI discovery in your category, organized by cocktail, occasion, price, flavor, quality, comparison, and drinking need.
Brand Visibility Readout - A map of which brands are recommended most often, where your brand appears, where competitors are winning, and where your brand is missing or under-leveraged.
Category Territory Map - A breakdown of the major discovery territories shaping the category, such as beginner, cocktail, premium, sipping, comparison, origin, occasion, and value.
Source Ecosystem Analysis - A view of the reviews, rankings, retailers, cocktail guides, media, forums, and brand-owned content shaping AI recommendations.
Narrative Gap Diagnosis - An assessment of the gap between what your brand wants to be known for and what AI appears to associate with it.
Action Plan - A practical set of recommended moves across brand story, website content, third-party visibility, PR, trade messaging, retailer language, and marketing priorities.
How Brands Use the Findings
The audit is built to move from insight to action. Brands use the findings to make clearer decisions about what to say, where to show up, and which discovery moments are most important to own.
Sharpen the Story
Clarify what your brand should be known for and where the current narrative is too generic, unclear, or disconnected from how consumers ask about the category.
Useful for: positioning, messaging, brand narrative, sales materials, and campaign strategy.
Improve Discoverability
Identify the website content, source opportunities, third-party signals, retailer language, PR angles, and category proof points that can strengthen how your brand shows up.
Useful for: content strategy, AEO, PR, trade storytelling, and owned-channel planning.
Focus Marketing Decisions
Prioritize the category conversations, consumer questions, and competitive territories where your brand has the strongest opportunity to become more visible and relevant.
Useful for: marketing planning, activation, innovation, budget focus, and competitive strategy.
Who This Is For
The AI Discovery Audit is built for teams that need a clearer view of how their brand, competitors, and category are showing up in AI-led discovery.
Spirits brand teams - For teams that want to understand how AI describes and recommends their brand across cocktails, occasions, price tiers, flavor cues, comparisons, and drinking needs.
Founder-led and challenger brands - For brands trying to understand where they are visible, where they are being overlooked, and how to sharpen the story they want the market to remember.
Agencies and strategy partners - For creative, PR, content, and strategy teams that need a stronger read on category language, competitor narratives, and discovery opportunities.
Marketing leaders - For leaders making decisions about positioning, messaging, website content, PR, trade storytelling, campaign focus, or growth strategy.