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
@benln Congrats on the launch. Really interesting take on where commerce is heading.
Quick question, do payments stay fully on-chain or are you converting to local fiat automatically for merchants?
Bluerails Discovery
@benln @parag_j_kalita Thanks! In Europe, we are partnering with AllUnity (Deutsche Bank, DWS backed) who do the off-ramp to FIAT for merchants. That's for fully agentic payments. What we are currently focused on is helping our early customer with receiving FIAT via the regular Payment gateways as an intermediary step.
Bluerails Discovery
@parag_j_kalita I think in the initial phases you'll see the money moving on and off-chain before finally settling. But we see a future where it will be completely on-chain
Curious how you think defensibility evolves here. If agent-ready checkout becomes a standard layer implemented by Stripe, OpenAI, or Shopify, what remains the durable moat for Bluerails?
Bluerails Discovery
@tarqiya_forgah you're right agent checkout will commoditize and we at Bluerails are counting down to that day. But checkout is the interface, not the rail. Standardized agent checkout just pushes more volume to whatever settlement, identity and reconciliation layer the enterprise actually trusts. And right now all three things are up for grabs.
Three things stay defensible:
1. Fragmentation, not consolidation, is the near-term reality. ~28 agent-payment protocols across settlement / authorization/ identity / commerce-lifecycle tiers (x402, AP2, ACP, UCP, Visa TAP, ERC-8004…). No enterprise integrates 28. someone has to be the neutral orchestration + routing + reconciliation layer across them. That's our game, not the checkout box. The same game was played out across the Fiat rails with payrails.com primer.io and yuno.com trying to duke it out.
2. KYA. Standardized checkout doesn't answer "which agent, authorized by whom, under what policy, and is it auditable." That identity/compliance layer is the hardest unsolved problem and the deepest moat if you're first.
3. Regulatory. We're EU first . The checkout incumbents are US consumer-first; the regulated stablecoin settlement rail for European enterprise isn't a layer their checkout touches.
Bluerails Discovery
@tarqiya_forgah I think Shopify is doing a great job helping E-Commerce brands solve Discovery + Payments. For other industries that combo doesn't exist. OpenAI and the other AI labs will own discovery, the FinTechs will own settlement, but the (connecting) tissue between those is not occupied. It's also arguably very vertical-dependent. That's why we are going to tackle one industry vertical at a time.
Bardeen
Super cool to see this - can’t wait to try it 💪🏻
Bluerails Discovery
@mfreihaendig Don'T wait for it, try and tell us about it!
Bluerails Discovery
@mfreihaendig happy to also schedule a deep-dive session with you
Chatsimple
This is freaking cool. Product meant for both the human and agent. Win - Win.
Bluerails Discovery
@vinayraj_1988 Yes, sir! That's ultimate state.
Bluerails Discovery
@vinayraj_1988 thanks for the support
The Discovery score is the part I can act on today since agent payments roll out later — a 400-sample peer-reviewed visibility number beats the one-off "did ChatGPT mention us" checks. Concretely, what actually moves that score: structured data / llms.txt / schema on my side, or is it mostly whether I'm already in the agents' retrieval set? And is it re-runnable so I can watch the score change after shipping a fix, or a one-time grade?
Bluerails Discovery
@hazy0 The files makes sure that agents can see your website and can create an action based on intent. To consistently rank higher, depending on your vertical you'll have to create some content, reviews, trusted sites linking back to you etc.
Yes, our score is re-runnable which is also what sets us apart. You can get track clear progress over time
Bluerails Discovery
@hazy0 Yes, that's exactly what we are here for: We tell you where you stand, what to improve and help you keep improving it all the way to accepting payments through/ from an agent. We currently recommend monthly reports to see what the performance is improving.
400 samples for a single visibility score is the detail worth understanding better, what's actually being sampled, 400 different queries against different LLMs, 400 runs of the same query to measure variance, or something else? "peer-reviewed" and "not a one-off guess" implies you're addressing the real problem with AI visibility scoring (huge run-to-run variance for the same prompt), curious what the methodology actually looks like under the hood
Bluerails Discovery
@ansari_adin We've broken down our methodology here https://discovery.bluerails.com/methodology. We also have proprietary weights per vertical
@ashwin_kumar46 Will check that out. Quick one before I do, are the proprietary weights per vertical something you derived from observed variance patterns in each industry, or more just a tuning knob you adjusted based on customer feedback over time?
Bluerails Discovery
@ashwin_kumar46 @ansari_adin Good question. It is not a static tuning knob.
The weights are based on what actually drives agent selection in a vertical, then calibrated against repeated runs, variance patterns and observed outcomes. A hotel, a publisher and a SaaS tool should not be scored with the same signal mix.
We keep the methodology transparent, but the exact weights private because that is where gaming would start.
Creatoor AI
Truly unique solutions that the market needs. Excited for you brother good luck on this one!
Bluerails Discovery
@olumidegbenro Totally agree! Thanks a lot, Olúmidé!
Bluerails Discovery
@olumidegbenro thanks a lot for the support! it means a lot to us
Flatlogic LLC
Catch my support, guys!
Bluerails Discovery
@erik_kalmykov Thanks, a lot! :)
Bluerails Discovery
@erik_kalmykov thank you!
Congrats on the launch. Which AI agents are currently sending the most traffic based on your early data?
Bluerails Discovery
Hey @himani_sah1 , there is no silver bullet answer to this. For planning vacations and itineraries we're seeing Perplexity and ChatGPT dominating the conversations. Marketing and Ops seem to favour Claude. This also varies per region
Bluerails Discovery
@himani_sah1 Great question. For now it's ChatGPT and Perplexity, in fact. Claude we see a lot across tech companies.
Congrats! I wonder what specific criteria does the Agent Score evaluate, and how do you weight discoverability versus transactability in the final number?
Bluerails Discovery
Hi @crystalmei we re-sample the queries multiple times and create Bootstrap Confidence Intervals. Most GEO products stop at a point-in-time estimate which does not help you move the needle.
We've also created a proprietary weighting for our KPIs per vertical backed by research. It's broken down in our methodology page here: https://discovery.bluerails.com/methodology
Bluerails Discovery
@crystalmei Good question. Today the Agent Score is weighted primarily toward discoverability: whether agents mention you, rank you, cite you, understand your offer correctly and can guide a user toward the next step.
Transactability matters, but we treat it as a readiness layer, not the whole score from day one. In most verticals, agent commerce is not mature enough yet to overweight payments. As demand becomes real, fulfillment and settlement signals become much more important.
So the weighting is vertical specific: discoverability first, transactability when the market is ready.