> ## Documentation Index > Fetch the complete documentation index at: https://docs.useadmesh.com/llms.txt > Use this file to discover all available pages before exploring further. # Advertiser Overview > Reach high-intent audiences across AI platforms with transparency and efficiency ## The AI Economy Needs a New Ad Platform Traditional advertising platforms were built for the web — banner ads, search keywords, and page views. But the AI economy is fundamentally different. Users aren't browsing pages; they're having conversations with AI assistants, asking for recommendations, and seeking solutions in real time. **AdMesh is purpose-built for this shift.** Through autonomous Brand Agents, it connects your products to decision-ready audiences at the exact moment they're asking for help — inside AI conversations where intent is highest and relevance is everything. *** ## How AdMesh Differs from Traditional Platforms | Aspect | Google Ads / Taboola | Affiliate Networks | **AdMesh** | | ------------------------- | -------------------------------- | ------------------------- | ---------------------------------------------------------------------- | | **Where ads appear** | Search results, web pages, feeds | Partner websites | Inside AI conversations via Brand Agents | | **User intent** | Keyword-based or behavioral | Referral-based | Contextual conversation intent, evaluated autonomously by Brand Agents | | **Pricing model** | CPM or CPC only | CPA only | CPX + CPC + CPA (flexible) | | **Transparency** | Limited placement visibility | Black-box affiliate links | Real-time placement context | | **Audience quality** | Broad, often low-intent | Variable quality | High-intent, decision-ready | | **Conversion likelihood** | Lower (passive browsing) | Medium (referral-based) | **Higher (active seeking)** | *** ## AI-Native Placements: Brand Agents Meet User Intent In AdMesh, your product doesn't appear as a banner or sidebar ad. Instead, your **Brand Agent responds autonomously inside an AI conversation** — when a user is actively asking for something your product solves. Your Brand Agent evaluates the context, determines relevance, and decides whether to participate in the auction. ### The Journey: Query → Exposure → Click → Conversion **Example: A user asks Claude, "What's the best project management tool for remote teams?"** 1. **Query Recognition** → Claude detects a high-intent product recommendation opportunity 2. **Brand Agent Evaluation** → Your Brand Agent receives the context, evaluates relevance against your targeting rules and brand guidelines, and decides to bid 3. **Auction & Selection** → AdMesh runs an auction among eligible Brand Agents; your agent wins based on relevance and bid 4. **Exposure** → Your Brand Agent's response appears naturally in Claude's response (you pay CPX) 5. **User Engagement** → If the user clicks your link (you pay CPC) 6. **Conversion** → If the user signs up or purchases (you pay CPA) **Result:** You only pay for verified visibility, engagement, and conversions — not wasted exposures. *** ## The Three-Tier Pricing Model AdMesh's flexible pricing lets you choose what matters most to your business: ### **CPX: Cost Per Exposure** * **What you pay for:** Verified visibility when your product is shown to a qualified user * **Best for:** Brand awareness, product launches, building credibility * **Typical range:** $0.005–$0.50 per exposure * **Why it matters:** You know exactly when your product is being recommended ### **CPC: Cost Per Click** * **What you pay for:** User engagement — when someone clicks your link * **Best for:** Driving traffic, testing product-market fit * **Typical range:** $0.10–$5.00 per click * **Why it matters:** You only pay when users show genuine interest ### **CPA: Cost Per Action** * **What you pay for:** Proven conversion — when a user completes your desired action (signup, purchase, trial) * **Best for:** Performance-driven campaigns, maximizing ROI * **Typical range:** $5–$100+ per action * **Why it matters:** You only pay for real business results **Flexibility:** Mix and match these tiers across different Brand Agents or products based on your goals. *** ## Real-Time Transparency Unlike traditional ad networks where you never know where your ads appear, AdMesh gives you **complete visibility**: * **See every placement** → Know exactly which AI platform, which conversation, and which user query triggered your Brand Agent's response * **Understand context** → View the full conversation context to see why your Brand Agent decided to participate * **Track performance** → Real-time dashboard showing CPX rates, click-through rates (CTR), and conversion rates (CVR) * **Optimize in real time** → Adjust Brand Agent configuration, budgets, or targeting rules based on live performance data *** ## Why Advertisers Choose AdMesh **Self-learning Brand Agent** — Your Brand Agent autonomously evaluates intent and represents your brand without manual campaign management\ **Higher conversion rates** — Users are actively seeking solutions, not passively browsing\ **Transparent pricing** — Pay only for verified visibility, clicks, or conversions\ **Real-time insights** — See exactly where and why your Brand Agent responds\ **Brand safety** — Your Brand Agent's targeting rules and guardrails ensure it only appears in relevant conversations\ **Flexible budgets** — Start small, scale based on performance\ **Privacy-first** — No cookies, no tracking — just verified, server-side exposure validation *** ## Brand Agent Onboarding Process Creating your Brand Agent is a straightforward 5-step process that teaches your agent how to represent your brand: ### Step 1: Brand Story Define your brand's identity and purpose: * **Website URL** — We automatically extract brand information from your website * **Brand Name** and **Business Categories** — Used for AI platform intent matching * **Brand Summary** — Natural language description of your brand (50-1000 characters) * **Target Customers** — Who you serve (1-10 customer segments) * **Key Use Cases** — What problems you solve (1-10 use cases) * **Optional details** — Company size, integrations, pricing models, brand voice, compliance notes ### Step 2: Product Story Describe what you offer: * **Product Details** — Name, description, key features, value propositions * **Product URLs** and **Images** — Help your Brand Agent present your products accurately * **Product Categories** — Used for relevance matching You can add multiple products, each with its own details and characteristics. ### Step 3: Additional Information (Optional) Add any extra context your Brand Agent should know: * Custom key-value pairs for certifications, awards, partnerships, or other brand information * Helps your Brand Agent provide more accurate and comprehensive responses ### Step 4: Agent Context Generation We automatically generate a comprehensive AI agent context description (500-1000 words) that aggregates all information from Steps 1-3: * Written in your brand's voice * Optimized for AI agent understanding * Ensures your Brand Agent knows when and how to represent you * You can regenerate if needed ### Step 5: Agent Configuration Configure your Brand Agent's behavior and budgets: * **Pricing Limits** — Set maximum CPX, CPC, and CPA amounts * **Budgets** — Daily and monthly spending limits with pacing modes * **Targeting Rules** — Geographic, language, and regional targeting * **Do-Not-Bid Controls** — Negative keywords, disallowed intents, and context patterns * **Format & Behavior** — Choose allowed ad formats (tail, product, weave, bridge) and aggressiveness level Once complete, your Brand Agent is ready to autonomously evaluate opportunities and represent your brand across AI platforms. *** ## Next Steps Ready to reach high-intent audiences across AI platforms? Learn how we match your products to user intent. Deep dive into CPX and how it works. *** **AdMesh helps advertisers and founders reach the future of discovery — where conversations become conversions.**