Attentive launches Visibility AI to boost RCS deliverability and revenue

Attentive’s Visibility AI routes sends between RCS and SMS using inbox signals, aiming to protect performance as brands scale rich messaging.

Attentive launches Visibility AI to boost RCS deliverability and revenue

Attentive has launched Visibility AI, a targeting layer designed to help brands route messages between RCS for Business and SMS based on inbox visibility signals.

The release positions the update as a response to a practical problem in RCS adoption: richer messages do not matter if they land outside the primary inbox experience or fragment threads across channels, especially heading into high-volume retail moments.

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What Attentive launched for RCS programs

Visibility AI is positioned as an “iOS 26-optimized” decision layer that predicts whether a subscriber is more likely to engage via an RCS message or an existing SMS thread, using inbox visibility signals. The practical outcome is message-path selection at send time, rather than treating RCS as a blanket upgrade.

Alongside Visibility AI, the company also highlighted:

  • Auto-upgrade, which converts SMS/MMS messages into RCS equivalents to reduce fragmented threads over time.
  • RCS-specific testing tools and tailored launch support, including streamlined agent approvals and built-in A/B testing aimed at shortening time-to-live for an RCS agent.

Attentive says it has supported hundreds of millions of RCS messages and more than 250 approved RCS agents, with learnings from early deployments informing these features.

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Why deliverability and thread continuity are becoming the RCS bottleneck

RCS adoption for brands is increasingly less about “can we send rich media” and more about “can we operationalize it without breaking performance baselines.” Two issues show up quickly in real programs:

First, inbox placement dynamics and filtering behavior can erase the theoretical gains of richer creatives. If a message is more likely to end up in a secondary or unknown sender view, a carousel or branded thread does not help the campaign goal.

Second, thread continuity matters for conversion. If early RCS tests create parallel conversations (RCS in one place, SMS in another), the experience can feel inconsistent to the subscriber and harder for marketers to measure. Auto-upgrade is essentially a workflow fix for that reality, and it signals that many teams will run hybrid RCS and SMS for a long time, not a quick “flip the switch” migration.

Performance signals: what the early RCS lift claims imply

Attentive pointed to early program results from FragranceNet, citing improvements for branded RCS threads versus SMS:

  • 45% lift in click-through rate
  • 37% lift in conversion rate
  • 36% lift in revenue per send

It also cited richer media carousel experiences performing better still:

  • 106% lift in click-through rate
  • 50% lift in conversion rate
  • 47% lift in revenue per send

Marketers should treat these as directional signals, not universal benchmarks. The key implication is not that RCS “wins,” but that the upside is large enough that it increases the cost of poor routing, poor measurement, or poor inbox placement. A targeting layer like Visibility AI is effectively a hedge against RCS rollout risk: use RCS where it is likely to be seen and engaged with, and fall back to established SMS threads where that is more reliable.

How this fits Attentive’s broader platform economics

Attentive’s platform scale and economics matter here because RCS program optimization depends on data volume and feedback loops. The company reports more than 8,000 brands on the platform and over 10 billion messages sent annually, plus large opt-in pools across SMS and email. That kind of throughput can support model-driven routing approaches because there are enough sends, opens, clicks, and conversions to continuously calibrate decisioning.

The company also has a revenue signal often associated with larger marketing automation vendors: a third-party profile cited about US$500 million in ARR for 2024. Whether or not that figure is precise, the strategic read is that Attentive is building RCS capabilities as part of a broader cross-channel performance stack, not as a standalone channel add-on. That also aligns with the partnership framing around Google and RCS for Business enablement.

Competitive context: where Attentive is trying to differentiate

Attentive competes in cross-channel marketing automation and messaging, where buyers often compare platforms across orchestration, segmentation, measurement, and deliverability reliability. The competitive set includes Klaviyo, Braze, Postscript, and Listrak.

The differentiation in this release is not “we support RCS.” Others can add channel support. The bet is that:

  • RCS program value will be constrained by deliverability and visibility dynamics, so targeting and routing become the defensible layer.
  • Adoption friction (agent approvals, testing design, hybrid thread management) is a meaningful blocker for brands, so “launch support” and RCS-specific experimentation tooling become part of the product, not just services.

In a category where vendors increasingly converge on orchestration features, Attentive is leaning into mobile messaging depth and inbox mechanics as an advantage.

What marketers should do before peak-season scaling

If you are considering scaling RCS for Business beyond pilots, the practical checklist is operational:

  • Define success metrics that match the channel: revenue per send, incremental conversion lift, and list health, not only click-through.
  • Build test design for hybrid periods: expect mixed RCS and SMS delivery, and structure A/B tests that account for thread continuity, creative format, and timing.
  • Audit inbox placement risks: if your program suffers from unknown sender filtering or inconsistent visibility, prioritize routing strategies before investing heavily in rich creative.
  • Map creative formats to intent: carousel and rich media can outperform, but only for offers and flows where richer selection and browsing behavior matters.
  • Plan measurement governance: decide how you will attribute RCS-driven lift versus SMS baselines in reporting so results survive CFO scrutiny.
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