maya SEO

As AI discussion models are increasingly used as search engines, people are wondering how to rank for ChatGPT, Gemini, and Grok searches. Gemini seems especially important, as it is connected to Google’s AI feed which skips the line in the first page results on every search. This use case develops, further making traditional search engine optimization obsolete, as the direct result of the AI content tsunami flooding the medium-to-low authority search results with remixed keyword slop. Google has tried to penalize it, but it is irrelevant in the new paradigm; that one robot’s innovative loophole can be invented as fast another robot’s regulatory penalty.

These both come as the progression from an ongoing theme of writers being alienated from their content, made to write with robotic repetition to compete with click-bait and satisfy search engine algorithm crawlers. This results in writers fulfilling those responsibilities with as little enthusiasm and energy as possible to keep their bills paid. Thus, long before AI content creation, the unspoken slogan of commercial content has been; by robots, for robots.

The development of alternative modes of search which increasingly rivel Google’s previous monopoly demonstrates a demand for a new approach to SEO, going beyond robotic keyword remixing and focusing on value—not only in information, but also readability and simplicity with which relevant information can be acquired. When normal people provide each other value, they are more happy and motivated.

As this ever-changing system evolves to fulfill its growing demand, we will continue analyzing its progression and developing new approaches. This means satisfying the current algorithm responsibilities for short term benefits, as well as doing our part to accelerate the system it’s evolving towards—serving as an investment in that future system.

And what is this new approach, future system? We call it SEO; ‘Search Experience Orientation.’ This is because we observe at least three trends which are already growing to define this system:

• Context above keywords: AI and social media algorithms alike are able to analyze context in ways Google’s search engine could not—before evolving to compete with this trend. As humans are unlearning their robotic conditioning when interacting with limited information machines and asking their questions with more natural, ‘stream of consciousness’ complexity, they are only going to desire more of that freedom. Have no doubt that a site’s ability to answer questions and provide information in a way which satisfies that desire will be calculated and generously rewarded—as it already is, although considerably erroneously, with the EAT (Experience, Authority, and Trustworthiness) standards.
• Aphoristic dialogue: Providing information Tweet-length blurbs, which each introduce, explain, and summarize a specific subject before progressing to the next will be the future of detailed, informative content. Attention spans aren’t falling as far as many worry—people, especially young people, are simply learning again and again that there’s very little out there, especially commercially, worth investing their attention in. As we’ve already seen in the popularity of Pre-Musk-Twitter-style threads (over traditional essays), or the simulated dialogue style of many trending Tiktoks, people are happy to invest their attention when they’re provided with some kind of confidence that their time won’t be wasted on robotic, engagement farming slop (although they’re consistently cheated in the currently paradigm regardless, only making matters more desperate). AI will prioritize information provided in concise, conversational, question-and-answer dialogue, with each verse going no longer than a Tweet (as oppose to what’s been hypocritically written here.)
• Website speed and simplicity: AI often favors information that loads fast and requires less re-interpretation to provide a response (and, thus, a reference to your website) over information that ranks high in keywords alone. Also, human social media visitors and AI algorithms alike (including Google’s search crawlers) prefer simplistic sites with minimal pages and topic trees (making content easy to sort through and find what one is looking for with minimal clicks and fatigue) over more flashy site designs which load slowly and are hard to sort through to find a specific function or piece of information. In short, this will be crucial in ranking for AI and social media search results, and already has been important in Google’s current algorithm, though to a radically lesser extent (single-page sites are currently at a significant disadvantage, but may likely become the most popular site layout style as things progress).

We summarize this paradigm as ‘search experience orientation,’ because it demonstrates a change in commercial content—which has generally been oriented towards clickbait trends and robotic algorithm standards, alienating writers and consumers alike from their natural manner expression—to being oriented towards human experience—the experience of both the consumer searching for information, and the value of that information being measured by the first-hand experience (measured through the ability simplify complex information and provide context) of the writer. Hopefully, this will result in greater quality of life for all involved, and less mechanical standards which only benefit the owners of the machines.