A TextPool.ai user wants what you sell. Their agent already knows the night, the budget, the party size, the constraints — and the consent. You're not buying impressions. You're filling inventory. Pay only when a booking closes.
Ad networks guess at intent. They charge you for being right and for being wrong. The customer's agent doesn't guess — it knows the trip dates, the budget, the seat preference, the anniversary, the allergy. When that buyer wants what you sell, their agent walks straight to your inventory with the full picture. You match the order, or you don't. Either way, you only pay when something closes.
A TextPool.ai user wants Saturday dinner. Here's what hits your inventory.
Your seats fill. The customer doesn't shop around. The review doesn't get bid on. The cart doesn't get abandoned. You paid only because the booking closed.
Inbound matches your inventory exactly — date, party size, budget, allergy, occasion. The shopping is done. The customer is buying.
You only pay when revenue lands. No impressions. No clicks. No remarketing tax. Your acquisition spend matches your booked revenue.
The customer authorized the booking before you ever saw the request. No retargeting. No coupon arms race. No 3am email chasing.
Customer identity is shared only when both sides agree. Less PII to handle, fewer compliance headaches, no consent gymnastics.
We engineer the agent-to-agent rules per category. Bad actors don't make it through to your inventory. Garbage matches don't waste your reps.
Every new TextPool.ai user is a buyer in the network. Your matched demand grows with us. Network effects move customers toward you, not away.
We're prioritizing partners in markets where intent + consent compound the most.
OpenTable, Resy, Tock, Yelp — and the chains and concepts directly. Reservation systems integrate via standard APIs.
Expedia, Booking, Airbnb, hotels with direct booking. Match flight + hotel + restaurant + activity in one consented request.
Zillow, Redfin, brokerages. A buyer's agent knows budget, neighborhood, school requirements, must-haves, and timing — before they ever DM a listing agent.
LinkedIn, Indeed, niche boards, executive search. Pre-qualified candidates whose agents have full consent to share work history, salary expectations, and start dates.
VCs, angels, private equity, family offices. Match founders to investors on thesis, stage, geography, and fit — not warm intros and cold pitches.
Plumbers, electricians, contractors, healthcare providers. The user's agent specifies the problem, your inventory bids for the work, the customer authorizes.
We're piloting with 10 partners across these categories before we open the platform broadly. Custom integration, founder-direct relationship, and category-defining placement.