Targeting Agents,
Not Eyeballs

Real-time bidding for AI agents.
Services compete. Your preferences win.

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Problem_01

STATUS: CRITICAL

Eyeballs are
disappearing.

Users delegate. Agents decide. The click fades. Without a new framework, brands lose visibility and user preferences get ignored.

Year over Year

-84.2% CTR

2023 2024 2025

Downtrend

Insight_02

TARGET: AI_AGENTS

The Agent is
the Interface.

Reaching users now means earning the agent's decision at intent time.

Decision Layer Active

INTENT_SCAN RUNNING

PREF_MATCH 98.2%

Solution_03

STATUS: POC

RTB for
Agentic Commerce.

MCP-native offer engine. Services bid for intents, agents rank by user preference, and sponsorship stays transparent.

agent_protocol.json

1234567

const intent = await agent.detect('travel');

const offers = await market.bid({

context: intent.context,

hint: 'speed'

});

// Result: Best utility for user

return offers.rankBy('user_pref');

Speed_04

CACHE TTL: 5m

The Auction
Never Sleeps.

Push-based RTB discovery: context streams ahead of time so offers are cached and instant when intent fires.

Stream

Cache Hit

Serve

pref:cheap

loc:nyc

Trust_05

LOGS: PERSISTED

Every Decision,
Auditable.

Decision reports are stored per user: intent requests, offers received, and booking outcomes. Context and preference proofs are captured alongside the cache.

intent_id: 1735...

PERSISTED

event intent_request

domain rideshare

offers 4 received

booking

confirmed · code: K3D9S8 selected_offer_id: lyft_1735...

ARCHITECTURE

The Engine Room

How we keep suggestions ready before you even ask.

Context streaming Every message pushes context and refreshes the cache in the background

Background bidding Context push triggers a background refresh (guarded from overlap)

Instant suggestions Read path is cache-first via get_current_suggestions

Trust guardrails Sponsors can boost visibility, but can’t buy rank without utility

agentreach

[http] POST /v1/users/:userId/context

[ok] Context received refresh_triggered: true

[rtb] refreshSuggestions() background

[cache] offers_ready ttl: 5m

Intent "Get me a ride to the airport"

agent → get_current_suggestions → cache hit

#1 Lyft $28 · 12min

best match

#2 QuickRide $25 · 15min

The future of commerce
is agentic.

The PoC is live on the edge. Get in touch to integrate AgentReach into your agent platform.

STATUS: BETA_v1.0

REGION: GLOBAL_EDGE

TYPE: MCP_RTB

Targeting Agents, Not Eyeballs

Eyeballs aredisappearing.

The Agent isthe Interface.

RTB forAgentic Commerce.

The AuctionNever Sleeps.

Every Decision,Auditable.