HoverChat on your website
Add the website snippet so visitors can ask your assistant questions using the knowledge you approve.
Your customers now send personal agents to book, buy and reorder for them. Ambipath gives your brand its own agent to meet them, so every visit is verified, kept inside your rules, and answered with exclusive, personalized offers in your brand’s personality.
Personal agent visits to your brand
Personal agents book, reorder, change and buy across every kind of brand. Each request is a chance to recognize the customer or lose them to a line of text.
book a king room in Denver for the 14th
reorder my running socks, same size
switch me to the 4pm flight
move my Thursday class to Saturday
add oat milk to Saturday’s delivery
save a new card and buy the headphones
keep the car two more days
get my usual for 12:30
restock my moisturizer
refill the dog food subscription
When a personal agent buys or books, the customer never opens your app or your site. Your brand sees only the checkout unless your own agent meets theirs.
1,700%
more daily requests from AI agents than a year ago
73%
of new Muse users came back the next day, against 41% for ChatGPT. A week in, Muse was still ahead.
MuseChatGPT
$190B+
of US online spending through AI agents by 2030, up from $21B this year
Ambipath separates agent visits from customers browsing on their own. For each agent visit you see the agent and the customer who sent it.
Most agents browse your site like any shopper and never say what they are, so your analytics count them as people today.
When an agent gets an order wrong, your customer blames you. You set what an agent may do alone and what goes to the customer, and Ambipath stops only the actions that break a rule.
Every other agent keeps buying, and Studio logs each stop with the rule behind it.
Stopped at 11:04. An agent tried to save a new card on a member account.Rule: new payment methods. The order went through on the member’s stored card.
Ambipath gives the agent this customer’s member price, points, exclusive offers and saved preferences. The agent weighs them when it books, and the customer earns points on every agent order.
Agents see the same prices your own site shows that customer.
King room, 2 nightsDenver, the 14th to the 16th
$458$378
Ambipath gives the agent your brand’s personality: how you greet a regular, what you celebrate, what you never say. The same request sounds like you and nobody else.
reorder my running shoes, same size
Done. Same shoes in size 9, out tomorrow. Your last pair ran 400 miles, so these have big shoes to fill.
Your Cloudrunner 4 in size 9 is on its way, with complimentary next-day delivery for Platinum members.
Ordered. Size 9, $89.99 with your member price. Arrives Thursday.
Fresh legs for Saturday.
Thank you for shopping with us again, Dana.
You saved $20 today.
Some choices belong to the customer. Ambipath sends them a notification that opens your own screen. They decide in your app, and the agent finishes the job.
Change to the 4:05pm flight
Soar found an aisle seat, Denver to Austin. Changes with a fee need you.
Studio reports what the agent channel adds: visits completed, members recognized, customers coming back. Ambipath proposes rule changes from what it sees, and you approve each one.
Proposed by AmbipathLet agents add breakfast for Gold members without asking. 412 of 430 Gold members said yes when asked.
ReviewSet each field to share, summary or never. A summary answers the agent without the record, such as “books this hotel most months.” Agents get answers for one customer and one task, and payment details never leave your systems.
You can delete any customer’s data from Ambipath at any time. SOC 2 Type II audit targeted for early 2027.
Follow the setup guide or give the generated skill to your coding agent. Ambipath checks that your published site has chat and clear connection instructions.
Add the website snippet so visitors can ask your assistant questions using the knowledge you approve.
The same snippet links to your hosted agent manifest. Ambipath also prepares entries for your website’s agent reading guides.
Check your published website from Installation, then try the specific agent client your customers will use.
Connect through the guest API or a client that supports signed Personal Agent Protocol requests. See the installation guide.
Our free audit sends a personal agent to your site on three errands: buy a product, compare two, and find a deal. In a few minutes you see whether agents get in, whether they finish each errand, and whether your site can tell them from people.
Copy the website snippet from Agent → Installation and publish it on your site. It includes HoverChat and your assistant’s discovery link. Agents can ask public questions through the guest API or a signed PAP connection. Installation includes examples and a checker. Read the installation guide.
Website and guest API conversations are labeled Guest. A signed PAP request verifies the calling agent’s domain. Contact details shared by a visitor remain labeled as supplied; connecting an account establishes a separate verified identity.
The assistant can send the question to your inbox. Your team sees the conversation and any context the visitor chose to share, then replies there. Visitors can also request follow-up and leave an email address.
No. Visitors can ask questions immediately. Sharing contact details or connecting a customer account is optional and available from the conversation menu.
You can review questions, answers, shared context, optional contact details, and follow-up requests beside each conversation. The panel distinguishes supplied information from a connected account.
Sign up with your brand details and add the knowledge your assistant should use. Available free trials include $10 of inference. Email [email protected] when you need more.
The founders have spent more than 25 years building products that use AI and advanced machine learning to personalize engagement for hundreds of millions of customers worldwide.