CTM, the conversation analytics platform used by more than 100,000 users, launched a native OpenAI Ads integration on July 20 that attributes phone calls to ChatGPT campaigns and syncs conversion events back to OpenAI. The move closes an attribution gap that has made AI-driven ad spend a black box for performance marketers since OpenAI opened its ad inventory.
CTM co-founder and CEO Todd Fisher said ChatGPT advertising is growing fast enough that teams risk losing conversion visibility if they aren't set up to track it. The integration gives marketing teams a direct line from ChatGPT-driven phone calls to campaign-level attribution and back to OpenAI's optimization engine.
The attribution gap ChatGPT advertising created
When OpenAI launched its advertising business, it introduced a familiar problem: leads arrive before attribution infrastructure does. A prospect who sees a ChatGPT ad, calls a business, and converts creates a touchpoint that most marketing stacks can't trace back to the original campaign. Without that connection, there's no way to feed conversion data upstream to OpenAI, and no way for its algorithms to optimize on what's actually working.
CTM's integration addresses both sides of that gap. Leads originating from ChatGPT campaigns are captured and attributed inside CTM's reporting environment, alongside existing data from Google, Meta, and Microsoft. Qualified conversion events are then automatically synced back to OpenAI, completing the feedback loop. According to the company's announcement, it's the first time closed-loop attribution has been extended to AI-powered ad channels.
Performance marketers now have one less reason to treat ChatGPT as a separate, untrackable spend category. CTM folded it into the same attribution infrastructure as every other major channel.
Parity with Google, Meta, and Microsoft
Closed-loop attribution on paid search and social is table stakes. A team running Google Ads expects to see which campaigns drive calls, which calls convert, and how that conversion data flows back to Smart Bidding. CTM's pitch is that ChatGPT campaigns should work the same way inside a unified reporting view, rather than requiring a separate data pipeline or manual reconciliation.
Fisher framed the release as a coverage problem as much as a product one. Phone calls remain the channel where high-intent customers show up, he said, and the question is simply where those calls originate. As that origin shifts toward AI-powered ad placements, attribution infrastructure has to follow. CTM counts Tinuiti, Morgan and Morgan, Tutor Doctor, and ServiceMaster among its customers, all of which run multi-channel performance programs where a gap in one channel's attribution erodes confidence in the overall numbers.
AskCTM removes the setup bottleneck
The second update addresses a different kind of friction. CTM's AI feature suite (branded as AskAI, ChatAI, and VoiceAI) has historically required technical depth to configure. Complex prompting requirements and multi-step setup workflows slowed adoption, even among customers with sophisticated use cases.
AskCTM is CTM's answer: a consultative AI agent embedded in the platform that walks users through configuration in the context of their own business, without requiring an engineer or account manager on the call. Seth Wright, Associate Principal, AI Software Engineer at CTM, said the goal is meeting users where they are so the people closest to the customer can extract value from AI tooling on their own.
For enterprise operations teams, the practical implication is faster deployment. Onboarding that previously required technical resources can now be completed self-service - important both for initial rollouts and for teams that need to iterate on AI configurations as campaigns evolve. For marketing teams already working with ChatGPT in their ad stack, the integration removes the need to build separate tracking pipelines. And for those still building out their approach to AI for Marketing, the closed-loop model here sets a baseline for what attribution should look like on AI-native channels.
Why this matters for marketing teams
If your team runs OpenAI Ads campaigns, confirm whether phone leads from those campaigns are being tracked or falling into an unattributed bucket. Review which call outcomes qualify as conversions in CTM, so the right signals flow back to OpenAI for optimization. If CTM's AI suite has been deprioritized because of setup complexity, AskCTM's self-service configuration removes that barrier. And with ChatGPT now addressable in CTM, assess whether any other emerging ad channels are creating similar attribution gaps in your reporting.
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