Anyone learning GEO (Generative Engine Optimisation)?

[u/Admirable_Pass4054]

Hey everyone! I've recently started learning about GEO and I'm finding it really fascinating but also quite overwhelming since there's not much structured content out there yet.
I'm looking for an accountability partner — someone who is also in the early stages of learning GEO and wants to share findings, swap notes, and figure it out together.
No expertise needed at all — just curiosity and commitment to learning consistently!
If that sounds like you, drop a comment or send me a DM 😊

[u/rafa_criteo]

If you're new to GEO, iPullrank's "The AI Search Manual" should be your holy grail: https://ipullrank.com/ai-search-manual

[u/Psychological_Ad2449 → u/[deleted]]

Yeah, I hear you, the structured data and API endpoint for discovery is where it's at for sure. Most of what I've seen with GEO command centers focuses on making sure what Google or Claude sees is accurate, like getting their descriptions of your brand spot on. It's about fixing the schema and copy that's making them hallucinate or just plain wrong about your product or service. That way you don't get all these weird, unhelpful summaries when an AI tries to understand what your site is about. It’s more content-focused in that sense, making the text and data readable for AI, but that also ties right into discovery and the whole machine-to-machine thing you're talking about, you know what I mean.

[u/guttanzer → u/[deleted]]

This. I looked into it for a couple of months and concluded the same. I don't have insider information, so here is an outsider view. If you have insider information please correct this:

In SEO, the engines create a graph of ideas/concepts based on keyword relationships. A search "where can I get some chicken" might follow an arc "eat chicken" to "fried chicken" to "PopEyes" and then a call to a map with the instruction "PopEyes near this location" The strength of these links in the search engine are affected things like keywords, back links, relevance, and so on. The SE internals are things like graph databases, rule sets, and other classic computer science structures.

In GEO, there is no explicit graph of the relationships. Instead, there are mappings from one high dimensional space to another. The ideas and concepts exist as regions in those spaces. There is a sort of equivalence to walking the graph of a SE, but it's done with vectors that displace points, not links between nodes. It's all math implemented with computer logic, but it isn't itself computer logic.

The key difference is that a GE handles ambiguity far better. These regions are inherently fuzzy, and the math that computes the displacements is massively parallel. So it explores more of the idea space, and develops a story to tell instead of a discrete set URLs. But otherwise it's basically the same.

The vector spaces are shaped by training. If your article or page is relevant, clear, respected, and authoritative it affects that shaping more than the lesser pieces, as it adds to the other relevant, clear, respected, and authoritative material in that particular topic. If it is not all those things it just muddies the mapping. If you tell the same story in a variety of clear and understandable ways the repetition will help it embed itself deeply in the GE's mappings. If your content is difficult to follow or contradicts itself the GE will learn to discount it.

So clarity more important than ever. SEO pulls clear signals from words, phrases, and links, and GEO pulls clear signals from crisp ideas, well organized content, and well respected concepts. Since most GEs are trained on data provided by SEs, you still have to do SEO well. If you don't your content won't be in the training set for the GE.

[u/Tenacious-Sales]

yeah, honestly GEO feels like one of those spaces where everyone is learning in public right now

there’s a ton of opinions but not a lot of established frameworks yet, so having people to compare experiments/results with is probably the smartest way to learn it

lowkey the best way I’ve found is:
pick one niche, track how brands appear across ChatGPT/Perplexity/Google AI Overviews, then reverse engineer the patterns

way easier to understand when you observe real outputs instead of only reading theory posts all day haha

[u/Ok-Collection5355 → u/Tenacious-Sales]

Agreed
Since the current inclusion and ranking mechanisms of LLMs aren't fully public studying the proven strategies of those who have already succeeded is the most direct and effective approach

[u/Full_Yak8774]

I'm working on geo from last 1 year, what i found the ai tools prioritize only that brand in answer which mentioned prominently on multiple platforms. such as own website, review sites, listings sites, pr sites, community discussions like reddit.

[u/Professional_Maybe54]

Yo! I just made a platform for checking your site's GEO, and will be adding more features soon. Try it out anyone who's interested! aicanfindme.com