Key Takeaways
- • RAD Intel released Think Again, the October 2026 edition of RADAR, its editorial publication and generative engine optimization (GEO) content engine, examining how human judgment shapes marketing decisions when AI supplies more research and options.
- • In an editorial exercise, three marketers from RAD Intel's portfolio received the same audience research and reached divergent recommendations, with one narrowing her target audience and another keeping her recommendation because key cultural questions remained unanswered.
- • A 184-times-greater likelihood among one audience to build and share custom LEGO Technic mechanisms did not determine any participant's final recommendation, according to the publication.
- • RAD Intel is using RADAR to test how original reporting and content structure affect visibility in AI-generated search results, with the stated goal of making its portfolio expertise discoverable.
Summary
RAD Intel, an AI-driven marketing technology holding company, has released Think Again, the October 2026 edition of RADAR, its editorial publication and generative engine optimization content engine, according to a Business Wire release. The issue examines how human judgment shapes marketing decisions when AI-driven audience research gives teams more information and more possible directions.
The cover story, "What Does It Take to Change a Marketer's Mind?", uses a LEGO campaign brief to test that judgment. Marketers from RAD Intel, AV Communications, and RAD Amplify each formed an initial recommendation before reviewing the same audience research generated by RAD Intel's decision intelligence platform. Their approaches diverged: one narrowed her target audience, another kept her recommendation because the findings left cultural questions unanswered, and a third kept her audience but developed a new creative approach. The publication notes that one audience was 184 times more likely than a random comparison group to build and share custom LEGO Technic mechanisms, yet that finding did not determine any participant's final recommendation. The publication states the exercise illustrates how intelligence informs judgment and does not measure campaign performance.
RAD Intel Chief Portfolio Marketing Officer Maria Brown said the team scales up to five brands at a time and that the goal is for marketers to explain what research strengthened, what it left unanswered, and what to test next. Carly Cowie, editor-in-chief of RADAR, said the most revealing element was how participants decided which findings were relevant to their problem.
A companion feature, "Creative Effectiveness and the Problem With Good Taste," examines how marketers weigh professional opinion, consumer testing, and predictive analysis when they conflict, citing Coca-Cola's AI-generated holiday advertising as an example.
RAD Intel also positions RADAR as a test of generative engine optimization, the practice of improving how content is discovered and referenced by AI-powered search and answer engines. The company says it is studying how original reporting, clear structure, and subject-matter depth affect visibility in AI-generated results. The broader aim is to make portfolio expertise, including Lickly, a self-service AI platform for marketing decision intelligence, easier to find for prospective clients and partners.
The cover story, "What Does It Take to Change a Marketer's Mind?", uses a LEGO campaign brief to test that judgment. Marketers from RAD Intel, AV Communications, and RAD Amplify each formed an initial recommendation before reviewing the same audience research generated by RAD Intel's decision intelligence platform. Their approaches diverged: one narrowed her target audience, another kept her recommendation because the findings left cultural questions unanswered, and a third kept her audience but developed a new creative approach. The publication notes that one audience was 184 times more likely than a random comparison group to build and share custom LEGO Technic mechanisms, yet that finding did not determine any participant's final recommendation. The publication states the exercise illustrates how intelligence informs judgment and does not measure campaign performance.
RAD Intel Chief Portfolio Marketing Officer Maria Brown said the team scales up to five brands at a time and that the goal is for marketers to explain what research strengthened, what it left unanswered, and what to test next. Carly Cowie, editor-in-chief of RADAR, said the most revealing element was how participants decided which findings were relevant to their problem.
A companion feature, "Creative Effectiveness and the Problem With Good Taste," examines how marketers weigh professional opinion, consumer testing, and predictive analysis when they conflict, citing Coca-Cola's AI-generated holiday advertising as an example.
RAD Intel also positions RADAR as a test of generative engine optimization, the practice of improving how content is discovered and referenced by AI-powered search and answer engines. The company says it is studying how original reporting, clear structure, and subject-matter depth affect visibility in AI-generated results. The broader aim is to make portfolio expertise, including Lickly, a self-service AI platform for marketing decision intelligence, easier to find for prospective clients and partners.
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