AI assistants are already answering dining questions, without Resy. That’s not a gap. It’s an open door. The products that win agentic channels won’t be the ones with the best app. They’ll be the ones with the best inventory layer.
The Vision Resy becomes the restaurant inventory layer every great AI is built on, the default data, availability, and booking stack agents call because nothing else comes close.
Intent is moving off search boxes and into conversational agents. These interfaces don't return ten results, they return one answer.
Monthly active users across generative AI assistants globally
MRFR, Q1 2025 · ChatGPT, Gemini, Meta AI, Copilot
of US diners open to AI-powered restaurant recommendations
DoorDash Delivery Trends Report, Mar 2025
of Millennials, Resy's core demo, open to AI dining recs
DoorDash · highest of any generation surveyed
Venues on Resy post-Tock merger, premium inventory doubled
Resy / Restaurant Business, Feb 2026
Where Discovery Happens Today
83% of diners start restaurant discovery online. Resy has visibility here through SEO and app presence.
Where It's Moving
Intent migrating to agentic surfaces where Resy has no guaranteed presence today.
The Non-Obvious Insight
Agents return one answer, not ten results. The restaurant that wins the recommendation is not the most reviewed, it's the one with the most structured, trustworthy data at query time. Data quality is distribution strategy.
Three bets, ranked by leverage. Win deeply in the highest-intent contexts first, then expand.
Bet 1 · Highest leverage
This is where dining intent already shows up at scale. Resy should surface as a direct booking action, not a search result: availability first, browse later.
Bet 2 · Partnership multiplier
Amex members using AI-assisted financial tools are the highest-value dining segment. The win here is contextual dining at the moment of planning, travel, or concierge interaction.
Bet 3 · Platform foundation
Build Resy as a first-class tool in the agent ecosystem so developers default to it for dining inventory and booking.
The quality bar
A Resy recommendation in an agentic context must be more reliable than Google search. Zero hallucinated availability. Zero stale data. Every interaction should end in a confirmed reservation or an honest “nothing available.”
Agents don't search, they reason. The restaurant that wins is the one with the most complete, structured, and trustworthy data at query time.
The Stripe Benchmark
Stripe's ACP showed what an AI-native commerce standard can look like: predictable, structured, and easy for systems to call. Resy needs the equivalent for restaurant booking.
01
Canonical fields across every restaurant. The vocabulary agents use to match diner intent to context.
02
Sub-second availability queries built for programmatic access, not adapted from the human browsing flow.
03
SDKs that wrap booking and availability in formats native to leading agent frameworks.
04
Hosted MCP endpoint so any MCP-compatible client can discover and call Resy inventory natively.
User attention has already moved. The question is what the new intent patterns demand from the product, and what bets we make now before they become obvious.
The shift
Product Bet
“Book me something good” is replacing “show me options.” Resy needs recommendation signals strong enough for agents to trust and surface confidently.
The shift
Product Bet
An agent recommending one restaurant creates a chain of trust. Stale hours, wrong availability, or closed venues break it immediately. Reliability is the product.
The shift
Product Bet
AI-native queries are richer than keyword search. Resy's inventory schema needs to encode context, not just cuisine and price, to answer high-stakes dining intent accurately.
The shift
Product Bet
High-intent dining moments are moving to voice, travel, calendar, and ambient AI surfaces. Resy needs to show up there as a reliable answer, not an app prompt or ad.
In an agentic world Resy isn't competing on SEO or app-store ranking. It's competing on data quality, API reliability, and partnership depth.
Moving Fast
First restaurant tech partner for ChatGPT. Now also live on Anthropic, Microsoft Copilot, and 11 voice AI providers. Over 1M voice reservations booked. Adoption sixfold in one year.
Certified Google AI Mode partner (US). Launched OpenTable Media to monetise reservation data.
Moving Fast
DoorDash acquired SevenRooms for $1.2B. Reservations now baked into the DoorDash app — 20M+ DashPass members get preferred table access alongside delivery.
Certified Google AI Mode partner in both the US and UK.
Reshaping the Channel
75M daily users. Executes end-to-end bookings across 8+ countries without the user leaving Search. Controls query, recommendation, and transaction. Resy is not a certified partner.
Has replaced third-party booking links without notifying restaurant owners.
Every quarter without a certified AI platform partnership is a quarter where OpenTable deepens its lead in the agent's default behaviour.
North Star
Net new diners on Resy who first discovered and booked through an AI agent.
Primary Outcome
Target at 12 months — the rate at which a Resy surface in an AI interface ends in a confirmed reservation
Secondary Goals
Meet users in new AI interfaces
Increase Resy discovery
Infrastructure Health
The foundation everything else depends on — real-time availability data that agents can trust.