Genesis is the AI-native ad network for AI agent monetization: advertisers bid in a quality-weighted auction for sponsored placements inside AI apps, coding assistants, IDE extensions, and MCP servers. Every impression and click settles through auditable advertiser and publisher ledgers into scheduled payouts — and developers earn per payable session through Genesis Rewards.
Sponsored placements flow through one auditable path — offer call, disclosure, impression, settlement, payout. The shape of that ledger, drawn typographically:
For publishers
Call Genesis only where your product allows it. Persist category controls, send privacy-safe signals when useful, request one or several approved placements, proxy tracking when you need first-party visibility, and fall back quietly on no fill.
For advertisers
Create structured Offer Units with objectives, budgets, variants, destinations, pixels, and conversion goals. Reach users inside the AI workflows where decisions are made.
Genesis Rewards gives developers a way to earn from natural waiting moments in coding tools and approved public developer inventory like Genesis Reward Badges, docs slots, package pages, and MCP listings. It is opt-in, quiet, and never needs code, prompts, or terminal output. Developers are paid per payable session through reviewed payout batches — not a percentage of transaction revenue.
Genesis only appears when your product asks for it. Every suggestion is explicit, labeled, and easy to skip.
Send the placement, the moment, and the controls. Keep the request clean and intentional.
Offers are filtered for relevance, policy, budget, locale, and publisher rules.
Relevance, trust, and expected value determine what can win.
Render a labeled suggestion or card. If nothing fits, render nothing.
Use REST, SDKs, MCP tools, React components, hosted tracking, optional signals, or prompt helpers. Start in test mode. Go live when controls, disclosure, and payout readiness are approved.
Genesis weighs bid, relevance, trust, and offer quality. More money helps. A better answer helps more.
// expected_value = bid · relevance · trust · quality
const ranked = offers
.filter(eligibleFor(request))
.map(o => ({ ...o, ev: o.bid * score(o, request) }))
.sort((a, b) => b.ev - a.ev);Budget, review state, category controls, and placement fit.
Expected value adjusted by relevance, trust, and quality.
Disclosure, placement token, and clearing price metadata.
A simple planning model based on sessions, fill rate, and effective RPM.
Planning estimate only. Actual earnings depend on approved demand, valid events, policy controls, and reconciliation.
A simple planning model for spend, CPC, conversion rate, and customer value.
Planning estimate only. Actual performance depends on approved offers, bids, tracking, and eligible publisher inventory.
Genesis is built around disclosure, control, and data minimization. The assistant stays helpful. The sponsorship stays visible.
No. Genesis uses publisher-initiated requests, placement tokens, hashed identifiers, and first-party context.
Genesis returns no fill. Your product keeps going without a sponsored suggestion.
Every returned offer includes disclosure metadata, and the SDK examples render visible Sponsored labels.
Chat agents, coding assistants, IDE extensions, MCP servers, and assistant-powered products.
Build in test mode. Validate disclosure, controls, and reporting. Then move to reviewed production.