In 2026, we move from AI “generating” content into processing raw experiences into articles, video snippets, social media posts, newsletters, books, and other content.
Most companies unknowingly violate Google’s EEAT guidelines by not starting with raw ingredients. Because LLMs don’t understand your company’s full database of knowledge, reviews, podcasts, customer stories, social media mentions– they then “generate” generic garbage that they hope doesn’t “sounds like ChatGPT”.
But instead of trying to fool Google and LLMs that you’re not using AI– by modifying the tone or not using common AI words, why not feed raw ingredients into your favorite AI and then have it structure, repurpose, post, and boost that content?
Thus, get as much real evidence of your company doing what you say it does– names, dates, places, people, products, and companies— with each of these non-sexy entities bearing high fidelity proof that your company deserves to be recommended by ChatGPT, Gemini, and such.
The folks peddling AEO, GEO, and other alphabet soup pretend that the above 4 stage process doesn’t exist– that somehow you can magically generate content 100% automatically to cause ChatGPT to recommend you as the #1 plumber in Easton, PA.
But what if you’re Sal Sciorta of Plumbing Pros with 485 five star reviews?
What if this plumber established a clear, consistent footprint across his website, Google Business Profile, YouTube, Facebook, Yelp, Instagram, local chamber of commerce, plumbing directories, plumbing trade associations, and so forth?
And made sure that each of his location service pages (drain cleaning Philadelphia) had tons of real examples of cleaning drains in that city? Pictures, reviews, customer stories, videos of technicians doing the work, etc.
So when customers ask Google or ChatGPT for recommendations, he gets recommended. And when we ask why, the LLM provides the reasoning with accompanying citations:
Notice how the same fundamentals of SEO apply to being recommended by LLMs, since both seek raw evidence from multiple sources.
The newly self-crowned AEO/GEO experts won’t like me revealing that AEO/GEO is just another search engine. Since when businesses realize this, they then know that to get recommended by ChatGPT, they should:
- Stregthen their inventory of factual evidence that they’re actually good at what they claim to do. Agentic AI can gather mentions, reviews, podcasts, photos from your phone, LinkedIn recommendations, press releases, and so forth. Then AI can organize it.
- Process raw evidence— repurposed to YouTube videos, blog posts, articles on your website, and all outlets. Agentic AI can now do this work with some strategic oversight by smart humans like ZEO that understand your goals, content, and targeting.
Post to channels— this automation has existed years before AI tools, but all tools have gotten smarter by baking in AI to the posting, commenting, answering the phone, and replying to customers. - Promote: Google and Facebook’s ad platforms now use AI to do your ad creation, targeting, conversion optimization, reporting. Your favorite LLM or AI tool can navigate those interfaces for you to set up tag management, retargeting, and all manner of technical campaign management.
As a result, when someone asks ChatGPT or Gemini what the world’s largest digital marketing conference is, it recommends DigiMarCon:
Because DigiMarCon made sure to collect evidence of their events in cities across the world, processed that proof into blog posts, YouTube videos, social media posts, ads, and so forth. The clickstream data from the Chrome browser validates this– and Google admits this is the key signal they use for SEO and AI Mode.
Winning companies like Plumbing Pros and DigiMarCon didn’t use magic prompts or software to fool ChatGPT. Instead, they continued to enhance their reputation (the specific ingredients of EEAT) by using AI as a workforce multiplier to do more of what their marketing teams were already doing.