Issue 4/2

The latest in answer engines, AI search, and marketing AI.

Author

Jason Patel
April 02, 2025

- Jason

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Programmatic SEO is in trouble. AI is giving us the capability to build more content, even faster.

Make sure your content is in-depth and has a point of view.

This is a great opportunity for longform, in-depth content to shine. Focus on creating really good, helpful content tailored toward your customers’ journey.

Google AI Overviews and ChatGPT will become the kings of this space - Google is finding its footing re: integrating traditional Google search with its own AI search.

And ChatGPT is the brand that consumers identity most with AI.

With that said, the other LLMS (Claude, Perplexity, etc) have a ton of whitespace to grow into. The future is exciting. The best part? It’s not winner-take-all. Google has plenty of competition.

Big fan of new entrants challenging the incumbents. It’s the American way.

Perplexity is my choice for AI search.

Zero-click search (ZCS) is going to end many businesses that are not preparing for it. ZCS happens when a user types in a question and they get the answer from the AI overview/snippet, without clicking into any links.

Beware. Prepare for a zero-click-search future now. 60% of searches already end in zero clicks.

Great news for Claude users and the AI economy. It’s another challenger to ChatGPT, which means customers, businesses, and, most importantly, America wins.

TikTok is an amazing technology, but it’s malware. Chinese malware.

An American company needs to buy it. TikTok is too addictive, viral, and powerful for the free market to guide it. Hot take: Washington needs to step in.

Old news, but glad legacy media outlets are now realizing this.

Readable, in-depth, comprehensive content is king.

I think you need to go multimodal. That will keep users engaged and on your site.

RAG is critical for accurate AI responses. Google does the right research/experimental things, but it never seems to bring it together into one cohesive product. Good for them for making RAG better for the rest of us.

In plain English: Retrieval-Augmented Generation (RAG) is a technique that enhances LLMs by retrieving information from external sources, such as databases or web pages, to supplement the model’s pre-existing training data.

Structured data was optional-ish in the SaaS world. No longer.

If you want to get seen on AI, start focusing on structured data.

Yes, it’s a catchy headline because it’s negative. Give it time. Citations will become critical for your marketing as we get flooded with more AI-built content.

AI-built content is good if it has citations.

Anthropic is going after more specialized use cases, while OpenAI is pursuing a mass-market, consumer-focused application for AI.

Always a big fan of these kinds of pieces that help young or new entrepreneurs maximize their time and money to build value.

A forward-thinking piece originating from a GTM angle. I agree with the general takeaways here

Google has all the data and tools. Again, it all comes down to creating a more understandable, unified platform. Hope they can do it.

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