Thursday, July 9

🧐 Every Marketer Claims They Use AI. Almost None Can Prove It.

There's a growing gap between candidates who've played with ChatGPT and those who've genuinely rebuilt their workflow around it. One will slow your team down. The other will outproduce everyone around them.

Knowing how to tell them apart, and then verify they're actually real, is now a core hiring skill.

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⚡️ Today’s Headlines ⚡️

🖼️ Meta improved its AI ad image generation tools. The new process makes use of Meta’s Muse Image model to help marketers restyle ad images (inspired by existing ads) and generate still images from video assets.

💪 9M+ deals won. $91B+ revenue generated. Seamless is built for one thing: your growth. Experience the world’s most powerful revenue engine today.

👀 ChatGPT citations change when hidden search pipelines switch. According to two recent analyses, ChatGPT’s hidden search system can make citation tracking harder than answers suggest.

🇷🇸 I almost exclusively hire from Serbia now... After hiring across 20+ countries, nothing has come close. So I recently opened my internal recruiters to other Founders. Tell us the role. We'll find the person here →

📊 Google Search Console added reporting on social and video platforms. The new metric, “platform properties,” shows how well your social and video content is performing within Google Search, including content on Instagram, TikTok, X, and YouTube.

💡 Today’s Insight 💡

5 questions to ask AI vendors before buying a tool

🗞 TL;DR - For every AI use in marketing, there are 10 startups with a tool for that. But not all of them are good and it can take a lot of time to weed out the right solution from the duds. Search Engine Land’s experts outlined 5 key questions to ask these vendors to make sure they’re worth your time.

💡 Insight - The 5 key questions to ask are:

1. What problem does your tool solve? Avoid tools looking for a use case. Start with your workflow bottlenecks, then determine whether AI is the right solution.

2. What expertise do you have in this area? This should tell you whether the tool was built for advertisers or at advertisers. The vendor should deeply understand your needs and be able to provide a truly useful solution. If they have a shallow understanding, that’s a red flag.

3. What case studies, real use cases, and results can you share? There are pros and cons with any early-stage tool (you might be the first to access it before your competitors), but it’s important to know what you’re working with.

4. Who owns my data and how is it being used to train models? Watch out for any answer that suggests your data is used to train shared or third-party models without your consent.

5. What does implementation actually look like and what do you need from us to succeed? The time and internal lift often costs more than the price of a tool and should be factored into your decision. No tool should be one-size-fits-all either, but easy implementation and intuitive design are crucial.

Overall, AI tools should enhance your marketing processes and the best vendors demonstrate this value, rather than relying on hype.

🙇 How Can I Help You This Week?

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