Bluerails Discovery - The rails AI agents use to find and pay you
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Most "AI visibility" tools stop at telling you if AI mentions your brand. Bluerails goes further. We make you discoverable to AI agents and ready to get paid by them, on the rails we already run for marketplaces.
What stands out:
• Discovery: a peer-reviewed AI-visibility score from 400 samples, not a one-off guess. Free, no signup.
• Agent-ready checkout + global settlement
• Compliance built in
Try your free Discovery report today; agent payments roll out next.
Replies
Interesting that you’re treating AI visibility as a distribution problem, not just a mention-tracking problem.
The hard part I’d expect is attribution: which agent actually visited, what page/action led to a lead, and whether that became paid intent vs crawler noise.
Curious what signal you trust most today when deciding “an AI agent found us and this is worth optimizing for”?
Bluerails Discovery
@jaemin_song the attribution is indeed a hard problem. But we don't try solve it by scouring logs. That's the crawler-noise trap you're describing. We solve it one layer up: at the rails, a real agent has to present a verifiable identity (Web Bot Auth / Visa Trusted Agent Protocol / ERC-8004) and a signed authorization mandate (AP2 for example) to transact.
Bluerails Discovery
@jaemin_song @ashwin_kumar46 Exactly. Logs are useful, but they mostly tell you something crawled you, not that an agent chose you.
Today we trust the combination of reproducible visibility tests, identifiable agent traffic where available, and downstream lead quality. Once agents actually transact, signed identity and authorization become the clean attribution layer.
So the sequence is: visibility first, intent second, rails once the market is ready.
Mailwarm
What does getting paid by agents look like in practice, like is it for bookings, purchases, or affiliate style referrals?
Bluerails Discovery
@thamibenjelloun the space is still emerging, but what we see so far is that this is happening for bookings, purchases and micro-transactions
Bluerails Discovery
@thamibenjelloun @ashwin_kumar46 think of human-facilitated payments first and then pure-agent payments later. Esp. industries with significant intermediary charges see an opportunity to become independent and receive payments directly from the buyer circumventing (marketplace) fees. That's possible now with the discovery shift.
Revolte
Congrats on the launch. Is this product specifically for B2C products? or is it generic and can be applicable for b2b brands as well?
Bluerails Discovery
@rajagopalanar its very much useful for B2B products as well. Any specific KPIs you're trying to optimise for?
Bluerails Discovery
@rajagopalanar @ashwin_kumar46 Very much applies to B2B as well.
The KPIs just change. In B2C it might be recommendations, bookings or purchases. In B2B it is more about category visibility, shortlist inclusion, answer accuracy, proof points and qualified intent routed to sales.
This is pretty cool stuff, without being too revealing can you share a bit about how you'd optimize for AI based recommendations? I'd imagine some combination of generally favored AI keywords and product specific context?
Your problem also seems a lot like optimizing your resume for AI agent discovery, any interesting insights you found there?
Bluerails Discovery
@noice30sugar optimising for specifying keywords would actually be an incorrect strategy. First is to make your website discoverable, then more trusted or stronger weights than your competitors. The last step is to give Agents with clear intents, the shortest path to their goals. In other words Discovery, Commerce and Payments
Bluerails Discovery
@noice30sugar @ashwin_kumar46 The resume analogy is actually pretty good.
The mistake is thinking this is about stuffing “AI friendly” keywords. It is more like making your profile impossible to misunderstand: what you do, who it is for, when you are the right choice, proof that you are credible and the next action an agent should take.
Agents reward clarity, specificity and trust signals more than generic positioning. Same for companies, same for people.
@ashwin_kumar46 @j_mannanal And this is due to the way most commercial models are set up? They all "behave" in a way that appeals to the average customer with their suggestions and thus you can optimize to align with those suggestions?
The architecture question I keep coming back to is what "the rails" actually means technically. Is this a shared API layer that multiple agents connect to, or is each deployment its own isolated setup? That distinction matters a lot for how you'd debug payment failures or audit transaction logs.
Have you thought about extending this beyond payments to other agent-to-agent transactions?
Bluerails Discovery
@demi_tan great questions.
Regarding "the rails", its highly dependent on the ICP. We are currently working with hotels and publishers, the rails differ greatly.
For Hotels its the implementation of an Agentic Commerce Protocol in front of their existing rail (hello UCP) in addition to KYA and anti-fraud capabilities. Eventually it makes sense to replace the outdated PSP/APM integrations for the Agentic age.
For Publishers we are mostly building over the x402 and MPP protocols to support micro-transactions
Regarding A2A transactions: we have working demos for this, but there simply isn't enough traction here to push this into the market yet. We're focusing on enabling Agentic commerce on existing Fintech systems as a first step
Bluerails Discovery
@demi_tan @ashwin_kumar46 This is exactly how we think about it: not one monolithic rail, but also not fully bespoke deployments.
The shared layer is identity, authorization, observability and auditability. The vertical layer is the adapter into the systems that already exist, like hotel booking/payment flows or publisher micropayments.
So the goal is not to rip out every existing stack on day one. It is to make those stacks agent ready first, then let deeper A2A transactions emerge where there is real demand.