AI cannot taste what you make. It is still deciding whether to recommend it.
I study how ChatGPT, Claude, Gemini and Perplexity understand and recommend premium food, beverage and hospitality brands, then build the first-party Guide and broader source strategy that make the brand's real differentiators easier to find, understand and corroborate.
AI systems cannot experience a tasting menu, feel the texture of a product or sit across from a winemaker. They work from what they can find. My work is to uncover what makes the brand worth choosing, make that knowledge explicit without flattening its voice, and build the information around the decisions customers actually make.
Distinctive brands are easy to flatten when the only goal is to make them machine-readable. The answer is not to make every brand sound the same.
What the machine needs
Clear entities. Direct answers. Consistent facts. Useful passages. Accessible first-party information. Credible outside corroboration.
Without that structure, the brand can be misunderstood, generalized or simply absent from the recommendation.
What the brand cannot lose
Voice. Taste. Point of view. Product knowledge. Human stories. The chef's philosophy. The reason one flavor exists and another does not.
The strongest work makes the brand easier to understand without stripping away the things that made it interesting in the first place.
Your primary website does not need to carry everything.
Most brand websites are designed to make the next action easy: reserve, shop, inquire, view the menu. The Guide creates a separate layer for the people who want to understand much more, while giving AI systems a richer first-party source to work from.
Transact efficiently.
Keep the main experience focused on the practical job it already does well.
- Menus and reservations
- Shop and product pages
- Hours and essential information
- Private dining or wholesale inquiry
- Current campaigns and launches
Understand deeply.
A brand-owned, editorial resource built around the questions, context and first-hand knowledge that influence a real decision.
- People, philosophy and origin stories
- Taste, texture and sensory context
- Wine, ingredients and sourcing
- Occasions, comparisons and decision tools
- Recognition, reviews and selected outside evidence
Someone who only needs the answer can get it quickly. Someone who wants to spend twenty minutes learning about a chef, cellar, ingredient, flavor or product-development story can keep going. The same architecture serves both.
The Guide is different for every brand.
The structure comes from how customers actually evaluate the experience or product, not from a fixed content template.
What kind of evening should I have?
A restaurant Guide can move from practical planning into the stories, people and expertise that make the experience distinct.
- Chef interviews and culinary philosophy
- Wine programme and cellar stories
- Signature ingredients and menu experiences
- Private dining decision tools
- Interactive "plan your evening" guidance
- Kitchen tours, original video and transcripts
Which product is actually right for me?
For CPG, the Guide can translate what a package and PDP rarely capture: how something tastes, feels, compares and fits into a specific moment.
- Structured taste and texture profiles
- Flavor finders and preference quizzes
- "Try this if you like..." relationships
- Pairings, occasions and use cases
- Founder and product-development stories
- Original tastings, interviews and video
Research first. Then build what is actually missing.
The Guide is not the strategy by itself. It is the owned foundation. The research determines what belongs there, what belongs elsewhere and what needs to change over time.
Study the recommendation landscape.
I test the buyer situations that matter, identify which competitors appear instead and examine the sources and information surrounding those decisions.
Extract what only the brand knows.
Chef and founder conversations, tasting, product-development context and operational knowledge turn a generic content exercise into something specific.
Create the owned information layer.
I write and build the Guide with clear semantic structure, editorial depth and interactive elements where they genuinely help someone decide.
Keep learning from what happens next.
Ongoing work can expand into original media, third-party source gaps, competitive shifts, Guide updates and behavioral measurement around reservations, inquiries or purchases.
A complete first phase, then an optional ongoing relationship.
The initial engagement ends with something live, usable and owned by the client. Ongoing work is available for brands that want the Guide and wider source ecosystem to keep evolving.
AI Search Strategy & Guide Build
Custom AI visibility research, competitive and source analysis, editorial discovery, original writing, Guide design/build, measurement setup and launch on a client-owned subdomain.
See the full engagementRead the case study →“Ally provided a very detailed and thorough presentation illustrating the needs for restaurants to remain competitive in the ever-changing demands of AI. We highly recommend her services.”
AI recommendation patterns in the categories I work in.
I run category-level research across premium food, beverage, wine and fine dining to understand how recommendation behavior changes by platform, buyer situation and source environment. That research informs the client methodology rather than sitting separately from it.
I spent 12 years in premium food and beverage before moving into enterprise software: Italian wine importing, Napa Valley wineries, Nespresso partnerships with the James Beard Foundation and Michelin Guide, and the floor of a two-Michelin-star restaurant.
I then spent five years at NetSuite selling enterprise software to growing CPG companies. That gave me a view into both sides of the business: what makes a premium product worth choosing and the commercial systems required to grow it.
That background is why this work is not just technical optimization. I can ask the chef the next question, taste the product, recognize the detail that actually matters, and then structure that knowledge so a person or an AI system can understand it without reducing the brand to generic marketing language.
If there is something genuinely distinctive about the brand, there should be a better way to make it understood.
We can start with a conversation about where AI recommendations matter to the business, what the current website is doing well and what a Guide could make possible without turning the primary site into a content warehouse.