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The change underway that's hard to see is that, in the past, grifters were primarily focused on gaming the algorithms to drive traffic. As agents take over more of the content generation and posting activity, the focus is shifting from gaming the algorithms to gaming the humans. The type of social engineering that has long driven scam telemarketers is now being imported for agents to deploy on social media.
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Is your AI-generated brand strategy identical to your competitors? You may be falling into the trap of AI convergence: thinking your AI output is strategically differentiated, when in fact it's indistinguishable from the competition.

I'll give you a ChatGPT prompt that in no way details what AI should create, yet before you run it I can tell you with surprising specificity what the result will look like.
Here's the prompt: ๐๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ฆ ๐ข๐ฏ ๐ช๐ฎ๐ข๐จ๐ฆ ๐ต๐ฉ๐ข๐ต ๐ญ๐ฐ๐ฐ๐ฌ๐ด ๐ญ๐ช๐ฌ๐ฆ ๐ข๐ฏ ๐ช๐๐ฉ๐ฐ๐ฏ๐ฆ 6 ๐ง๐ญ๐ข๐ด๐ฉ ๐ฑ๐ฉ๐ฐ๐ต๐ฐ, ๐ต๐ฉ๐ข๐ต ๐ญ๐ฐ๐ฐ๐ฌ๐ด ๐ค๐ฉ๐ข๐ฐ๐ต๐ช๐ค ๐ข๐ฏ๐ฅ ๐ถ๐ฏ๐ค๐ข๐ฏ๐ฏ๐บ.
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AI works by finding patterns in huge amounts of existing data, so when companies give it broad prompts about things like innovation, quality, or customer focus, it often produces strategy that sounds smart but is very similar to what competitors could get. AI can still be useful for refining messages or testing ideas, but real strategy requires human judgment, deep understanding of customers and competitors, and the ability to find a position that is genuinely different.

The focus of agile marketing is on identifying which specific frameworks and practices actually benefit marketing teams, then adapting those methods to fit marketing workflows. It also emphasizes balancing flexibility with structureโteams want to move quickly, test ideas, and iterate, but without losing alignment with broader business goals, brand strategy, or long-term campaigns.
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โFastest Path to Revenueโ is a marketing approach focused on quickly finding what customers will actually pay for, rather than building out a big funnel or campaign too early. It argues that marketing and sales should work together to validate demand with real buyers first, starting with existing customers or warm introductions before investing in broader demand generation.

The only way to validate a value proposition is to put it in front of buyers and see what happens. The framework gives you a starting point precise enough to test. What follows โ the prioritization of customer targets, the design of initial outreach, the criteria for qualifying the first responses as signal versus noise โ is the work of mapping your Fastest Path to Revenue.
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By leveraging AI, businesses hope to do everything from automating content and communication to predicting and planning pipeline through better use of available data.
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What should we make of the wholesale leap into AI, as marketing and sales professionals, and how should we approach integration?
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I've been playing around with AI as creative director for blog images, and the results have ranged from solid to amusing.
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MotiveLab is committed to clarifying the world of Marketing and Sales AI, dispelling hype and myth about AI applications, tracking the development of new technologies, and helping businesses integrate AI effectively to transform
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MotiveLab conducted several interviews and basic AI tests with "EVI", Hume AI's "emotionally intelligent" AI chatbot.
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Marketing and sales managers struggle to cut identify the shortest critical path to results. This model helps clear the clutter.
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