Reach users inside the AI tools they already use.
800 million people use ChatGPT every week. Hundreds of millions more use third-party AI apps. Surfacedd is the ad network for that second group.
Where AI users actually spend their time.
ChatGPT has scale. It is one surface, one brand, one company’s product decisions about what advertising looks like and where it sits. For an advertiser, ChatGPT is a single point of leverage with a single inventory policy and a single take rate. That is useful. It is also the entire picture only if you believe the AI layer will consolidate around one app.
The evidence does not point that way. The writing apps, the coding tools, the image generators, the customer support agents, the voice assistants embedded in cars and kitchens, the companion apps, the research tools, the category-specific copilots in legal, medical, and developer workflows — all of them have their own users, their own prompts, their own moments of attention. Collectively the audience inside third-party AI apps is large and growing faster than the first-party category, because specialized tools keep splitting off as the underlying model layer commoditizes.
Surfacedd aggregates those independent apps into a single ad network. One integration on the advertiser side, one SDK on the developer side, one set of disclosure and measurement standards across every Surface. If you want to reach users who have left the first-party chatbot for a tool that handles their specific work, the third-party layer is where that audience is, and a network is how you buy it without negotiating with each app one at a time.
The thesis underneath the product is simple. The AI layer is fragmenting, not consolidating. The independent apps are where the next generation of attention will live. An ad network that spans them at the Surface level is the only shape that keeps up with the market as it splits. Surfacedd is built for that shape. For the first-party comparison, see reaching ChatGPT users.
Four placement formats.
Surfacedd ships four Surface types. Each is a native placement with a structural disclosure, not a banner retrofitted into an AI app. Pick the formats that match your creative and your goals, or run across all four for full-network coverage.
Text placements.
Text Surfaces sit inside chatbot responses as disclosed sponsored content. A user asks a question, the agent returns its organic answer, and a labeled Surface appears beside or beneath with one sponsor. The unit does not edit what the agent said; it sits next to it. Best for direct response, branded discovery, and evergreen products where a short sponsor line and a link do the work. Text carries the lowest floor on spend and the widest available inventory across the network. See sponsored AI responses for the creative spec.
Image placements.
Image Surfaces live inside AI-generated images as disclosed product placements. One product, one scene, one credit line. A user prompts a kitchen counter; the generator ships the image with a named product and a visible sponsor credit. No watermark across the frame, no overlay on top of the composition. Best for consumer goods, fashion, home, and travel brands that already live on product-in-scene creative. For the production detail, see AI brand placement.
Voice placements.
Voice Surfaces appear inside voice assistant responses. Short disclosed spoken segments of 5 to 10 seconds, bracketed by an explicit sponsor cue before and a return cue after. The assistant does not slip the brand into its organic answer; the sponsor segment is a separate piece of audio with its own labeling. Best for branded audio, short calls to action, and local businesses that want presence in the new in-home and in-car assistants without a full podcast buy.
Code placements.
Code Surfaces appear inside code completion tools as disclosed sponsor lines in the comment layer. The ad never goes in the generated code itself; it sits in comments or in a sidecar suggestion the developer can accept, dismiss, or ignore. Best for developer tools, cloud services, APIs, and infrastructure companies whose buyers are the same people writing the code. Code inventory is the smallest of the four and the most expensive per impression because the audience converts.
Targeting without tracking.
Surfacedd targets contextually. Relevance is decided at serve time by what the user just asked the agent and what Surface the output ships on. The prompt is the signal; the surface context is the filter. A kitchen-counter prompt in an image generator triggers a different inventory pool than a recipe request in a voice assistant, and neither requires knowing who the user is.
No third-party cookies. No cross-site IDs. No identifier persistence between sessions. No device graph, no fingerprinting workaround, no first-party-to-third-party identifier bridge. The advertiser chooses contextual buckets — conversation topic, intent, geography, app inclusion list — and the network matches against the prompt and the Surface. The user is not a subject of the transaction; the Surface is.
This is a feature, not a compromise. Advertisers get targeting that survives cookie deprecation because it never depended on cookies. It survives browser privacy changes, mobile-platform identifier rollbacks, and the slow tightening of data-protection law in every major market, because none of those mechanics are part of the pipeline. Users get privacy that does not depend on policy, because the architecture does not collect the data in the first place. The two sides of the market get what they want from the same design.
If you need identity-level targeting, Surfacedd is not the right network. If you want durable reach inside AI outputs under the regulatory direction the next five years are headed in, contextual targeting at the Surface level is the shape that keeps working. For the agent-side counterpart to this thesis, see advertise to AI agents.
Pricing.
Pricing is published. No tiered pitch deck, no opaque take rate, no negotiate-on-call floor.
- CPC from $0.50 for text Surfaces.
- CPM $5–15 by format. Text from $5. Image from $8. Voice from $10. Code from $12.
- Self-serve available for most campaigns. Managed service for enterprise, for campaigns that need creative production across voice and image Surfaces, and for regulated categories.
- Monthly budget caps and dayparting supported. Pause and resume at any time through the dashboard or the API.
CPM ranges reflect inventory scarcity, not a premium on audience. Code is the smallest pool and the highest-intent audience, so it prices accordingly. Text is the deepest pool and the lowest floor. Image and voice sit in between. Every Surface is sold on the same auction mechanics; the ranges are the floor, not a fixed rate card.
See the pricing page for the full breakdown, including managed-service fees, creative production costs for voice and image, and the standard contract terms for enterprise campaigns. The page is updated as rates change; the ranges above are the current floor at time of writing. For reach measurement across the network rather than rate-card pricing, see the Share of Placement page.
What we won’t do.
A short list, because the list is load-bearing.
- We won’t sell access to users’ private AI conversations.
- We won’t guarantee a brand mention inside an AI’s organic answer.
- We won’t run undisclosed placements.
- We won’t run political ads.
- We won’t run ads targeting minors.
Each item is a commercial constraint we accept. Private-conversation data would be the largest signal source on the network and we will not monetize it. Guaranteed inside-the-answer placement is what some advertisers ask for and the thing that breaks user trust the fastest; a separate disclosed Surface is the only honest version of the unit. Undisclosed, political, and minor-targeted placements are the categories that kill ad networks in regulatory cycles, and we are not building the network that gets killed by the next cycle.
For the longer argument behind these limits, see our disclosure position. Everything above follows from it.
Frequently asked questions.
What’s the minimum campaign size?
How is this different from ChatGPT Ads?
What reporting do you offer?
Can I target by app?
How do I measure share of placement?
Do you run campaigns globally?
Reach users inside the AI tools they already use.
CPC from $0.50. CPM from $5. Text, image, voice, and code placements across independent AI apps.