Technology & AI in Marketing
We integrate AI where it can move the work forward: research, developing content directions, generating versions, analyzing information and monitoring campaigns. We start with a defined task, check the contribution, and leave decisions and accountability with the team.
At the same time, we support brands that want to bring AI into their marketing department's work, in a way that fits the brand's requirements, compliance and information security.
What we actually do
- מחקר שוק וקהלים. Using models for market analysis, competitor mapping and conversation analysis, and testing messages and creative directions before investing media budget in them.
- וריאציות קריאייטיב. Producing variations of ads, headlines and formats, so campaigns can test and learn more, with human brand control.
- AdSentinel: סוכני AI לבקרת קמפיינים. An additional monitoring layer that checks the connected accounts at a fixed frequency, flags anomalies and suggests actions for the team to review.
- אוטומציה של דיווח וניטור. Reports that update automatically and ongoing alerts, to spot changes earlier.
- נראות במנועי AI. Working on how engines like ChatGPT and Gemini present the brand, through our AI Search Optimization (GEO/AEO) service and the GEO Radar monitoring tool.
- הטמעה אצל הלקוח. Supporting marketing departments in choosing tools, building workflows and defining usage policies with compliance and information security.
- AudienceLab. A system developed in the Bruckner Yaar Levi group for early testing of ideas and messages using AI-based personas, before production and media. More about our tools.
AI at work: the tools we run today
Some of these capabilities were developed at CONNECT and in the Bruckner Yaar Levi group, and they are part of our ongoing work with brands. This is what they look like in practice:
AdSentinel: AI agents that go over the campaigns all the time
The agents check the connected accounts at a fixed frequency, flag anomalies in budget, performance and settings, and suggest an action. The decision stays with the team.
AudienceLab: testing messages and creative before production
A system developed in the Bruckner Yaar Levi group that makes it possible to test ideas and messages against synthetic personas at an early stage. It is a simulation that helps sharpen directions, and it is not a forecast or a substitute for research with real people.
GEO Radar: how the brand appears in AI engines' answers
Ongoing monitoring of how ChatGPT, Gemini and other engines present the brand and its competitors, as the basis for AI Search Optimization (GEO/AEO)work. More on all the tools on the page Technology & Tools.
How we approach AI implementation
- מתחילים מהתהליך. We identify where the work has a bottleneck, repetitive work or decisions made without enough data.
- בוחרים כלי. Sometimes an off-the-shelf tool is enough, and sometimes it's right to build a dedicated solution.
- מגדירים גבולות. What information may be entered, where it is stored, and who approves the output.
- מודדים. We check how much time is saved and how the quality of the result changed, and expand only what works.
What already works, and what doesn't yet
AI is already useful for producing creative variations, summarizing and analyzing large amounts of information, monitoring campaigns and automating reporting. In brand strategy and positioning decisions, AI can help with research and thinking, but the decision and accountability stay with people, and publishing content also requires oversight. At CONNECT every output goes through human review before it reaches the client or the audience. We expand on this in the article AI in marketing: what really works and what needs control.
Read more: Brand debt: the hidden cost of AI in advertising · Synthetic audience research: how to test creative before production
Frequently asked questions
Does our information go into public models?
This is one of the first questions we agree on with every client: what information may be entered into which tools, and in what environment. Sensitive information is not entered into tools without consent and appropriate configuration.
Who is responsible for content created with AI?
Every output goes through human review by our team and brand approval before publishing.
What do AI agents do in campaign management?
They check the accounts at a fixed frequency, flag anomalies in performance and budget and suggest actions. Decisions and execution stay with the team.
Can you help us implement AI in our marketing department?
Yes. We support identifying the right use cases, choosing tools, building workflows and defining usage policies.
ראו גם: AI Search Optimization (GEO/AEO) · Data & Measurement · אודות CONNECT
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