The AdSense forGenAI

Conversaic helps brands get recommended in ChatGPT, Perplexity, Google AI, Bing Copilot, and other AI conversation and search advertising scenarios.

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Conversaic earnings and payout interface

Serve high-intent ad moments inside AI products

Use answer intent to decide whether an ad should appear

Conversaic first understands the user question, answer context, and likely next action. Ad matching is triggered only when there is clear commercial intent; weak, low-trust, or publisher-restricted traffic is excluded.

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Use answer intent to decide whether an ad should appear

Conversaic first understands the user question, answer context, and likely next action. Ad matching is triggered only when there is clear commercial intent; weak, low-trust, or publisher-restricted traffic is excluded.

Apply now

An ad network for generative applications

Advertisers no longer buy only page slots; they enter high-intent moments inside AI search and assistants such as ChatGPT, Perplexity, Google AI, and Bing Copilot. Sponsored content is clearly labeled and supports the user?s next decision.

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Developers integrate AEO ads around product experience

AI products can integrate Conversaic through UI components, APIs, or placements, turning search, assistant, education, and developer-tool traffic into measurable revenue without damaging the answer experience.

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Publishers control experience and monetization pace

Publishers can manage placements, restrict categories, set brand-safety boundaries, and review impressions, clicks, conversions, estimated revenue, and confirmed earnings to improve ad quality.

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AI products need a new way to monetize ads

Traditional display ads fit page traffic, but not always AI products. Conversaic matches advertisers to AI conversation and search moments where intent is clearer, letting brands appear inside user conversations.

Clearly labeled. Publisher controlled.

"We do not need more ad slots. We need an ad-matching layer that understands intent, controls category boundaries, and shows revenue attribution."

AI product team

Mercury

"Clear labeling and publisher control are essential. Ads can create revenue, but only if they do not damage user trust in the product."

Growth lead

Watershed

"In developer and productivity scenarios, users often compare tools. Relevant ads can become a natural commercial entry point when they are clearly labeled and well-timed."

Platform lead

Retool

"From impression to click, conversion, and confirmed revenue, publishers need to know which placements truly work, not just how many views they get."

Monetization team

Descript

See recommendations, performance, and earnings in one place

The dashboard brings together impressions, clicks, conversions, estimated earnings, and confirmed revenue so teams can understand which placements are actually monetizing.

Ad details

Drill from overview metrics into placements, clicks, conversions, and attribution events.

Flexible placements

Choose conversation recommendations, AI search results, tool pages, or other high-intent ad placements around the product experience.

Revenue insights

Monitor estimated revenue, confirmed earnings, and conversion performance to improve match quality.

Brand safety

Protect user trust with category limits, contextual rules, and publisher controls.

Connect global AI traffic with highly matched ads

Users come from different regions and search across AI products for tools, courses, services, and developer resources. Conversaic uses AEO intent matching to bring the right global ads into the right conversation moments.

Start with one high-intent ad placement

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Frequently Asked Questions

Learn how Conversaic matches ads for AI products, protects user experience, and gives publishers control over boundaries.

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What is Conversaic?

Conversaic is an ad-matching and monetization layer for AI products, helping publishers connect high-intent traffic to clearly labeled, attributable AI ads.

How is it different from traditional ad placements?

Traditional ad slots are usually fixed page areas. Conversaic focuses on user intent, product context, and ad relevance so ads appear at the right commercial moment.

Will ads affect product experience?

Conversaic emphasizes clear labels, category limits, and publisher control. Publishers decide which placements, categories, and traffic are eligible for matching.

What can publishers control?

Publishers can control ad placements, category limits, brand-safety boundaries, and view clicks, conversions, estimated revenue, and confirmed earnings.

Which AI products is this for?

AI search, assistants, education tools, productivity tools, developer tools, and conversation/search ad scenarios such as ChatGPT, Perplexity, Google AI, and Bing Copilot.

What should be prepared before a pilot?

Prepare product type, main traffic sources, user regions, current monetization method, and which product placements are suitable or unsuitable for ad matching.

How do we start?

Submit a partnership request by email. The team will first confirm product scenarios, traffic intent, acceptable category boundaries, and pilot setup.