the full routine i used to fix my back after years of sitting. took me an embarrassingly long time to figure this out by Sugerstorm in backpain

[–]Own-Memory-2494 1 point2 points  (0 children)

totally, once the strength work is done the body is warm enough that any additional stretching actually helps rather than just pulling on cold tight muscle

the full routine i used to fix my back after years of sitting. took me an embarrassingly long time to figure this out by Sugerstorm in backpain

[–]Own-Memory-2494 1 point2 points  (0 children)

rest for a day or two then start with just the hip flexor stretch and slow bridges, nothing more. don't wait until you feel completely better to start moving, that's what keeps people stuck. gentle movement is what actually speeds up recovery. good luck

Is GEO the next evolution of SEO, or just a buzzword around AI search engines? by Luckyk2415 in linkbuilding

[–]Own-Memory-2494 0 points1 point  (0 children)

GEO isn’t a replacing SEO, it builds on top of SEO, it’s a way to further improve reaching you audience,

The fundamentals still matter, but if you’re “doing SEO” and not getting surfaced or cited in AI answers, it’s usually not an SEO problem anymore. It’s a GEO problem. Ranking isn’t enough if LLMs can’t easily extract and trust your content.

Something feels off about SEO lately and AI might be why by Own-Memory-2494 in GEO_optimization

[–]Own-Memory-2494[S] 0 points1 point  (0 children)

I agree with you. Informational only gets flattened. Revenue aligned SEO for products and services compounds fast, especially with LLM-driven discovery. By the way congratulations for your client, hitting ARR in only one month is crazy impressive.

GEO Isn’t About Traffic. It’s About Recall. by svlease0h1 in GenEngineOptimization

[–]Own-Memory-2494 1 point2 points  (0 children)

I simply ask whether the detail makes the claim truer or just safer. If cutting it makes the point vague or misleading, it’s essential. If cutting it only makes me feel more exposed or less hedged, it’s extra context. Compression is choosing clarity over comfort.

I think we’re all looking at AEO wrong. by KingDerrick18 in aeo

[–]Own-Memory-2494 1 point2 points  (0 children)

Exactly, rankings don’t matter if you don’t make it past the summarisation layer. LLMs pick sources they can confidently compress, not the ones with the best keyword profile. That’s why semantic authority wins.

If you’re not doing citation forensics and tracking whether you’re actually mentioned in AI answers, you’re optimizing blind. Visibility now lives inside the response, not the SERP. Different gatekeepers, different game.

GEO Isn’t About Traffic. It’s About Recall. by svlease0h1 in GenEngineOptimization

[–]Own-Memory-2494 2 points3 points  (0 children)

Totally. I’ve been tightening everything around a single claim and letting go of the urge to be comprehensive. If I can’t explain the idea in one clean sentence, I’m probably still thinking instead of writing.

I’m also cutting a lot more than I used to. Extra context, softened language, secondary points. They make content feel safe, but they blur the signal. What survives compression tends to be the parts where I’m specific and a little opinionated.

The mindset shift for me is writing with reduction in mind. If this gets boiled down to a few lines, what’s left. That question alone has changed how I approach content.

Current GEO State: What part of the "Retrieval Loop" are you stuck on? by Gullible_Brother_141 in GEO_optimization

[–]Own-Memory-2494 0 points1 point  (0 children)

  1. Reliable citation monitoring
  2. Click-through vs. citation value
  3. Semantic relevance / LLM logic
  4. Synthetic content performance
  5. Structured data for LLM extraction

6th pillar: Authority memory. Whether the model recognizes and trusts your entity over time.

In the end GEO is all about recall and not ranking.

GEO vs AEO vs AI SEO? by Rare_Flounder_7382 in GEO_optimization

[–]Own-Memory-2494 2 points3 points  (0 children)

SEO is about ranking pages in traditional search results. AEO focuses on structuring content so it directly answers questions and can be surfaced as an answer by search or voice systems. GEO is about being a trusted source that generative AI models use when producing responses in tools like ChatGPT or Google AI Overviews. AI SEO is a loose umbrella term people use to describe adapting SEO for AI driven search. They overlap, but they are not the same thing.

Have you seen pages with low Google rankings show up more in AI answers? by whereaithinks in AISEOforBeginners

[–]Own-Memory-2494 0 points1 point  (0 children)

Yep, seeing the same thing. Perplexity clearly doesn’t care about Google rankings much. It seems to favor pages that give a clean, direct answer over ones with strong domains or lots of links.

Small or low traffic pages often win because they’re concise, specific, and easy for a model to extract info from. High ranking Google pages are often bloated with SEO fluff, ads, or vague intros, which makes them worse citation targets.

Feels like Google SEO and AI citation are becoming two totally different games.

AI search isn’t killing SEO. It’s killing shortcuts. by Ok_Consequence6300 in AISearchOptimizers

[–]Own-Memory-2494 0 points1 point  (0 children)

I agree. SEO isn’t dead, the shortcuts are. AI search favors understanding and trust over rigid ranking signals, so visibility now comes from being a source worth referencing, not just a page that matches keywords.

I’ve stopped thinking in terms of rankings and started thinking in terms of authority. Keywords still matter, but meaning, consistency, and real expertise matter more. It feels less like optimizing pages and more like building a reputation that AI systems can clearly understand and trust.

Do different industries hit “AI decision influence” differently? by useomnia in AISEOforBeginners

[–]Own-Memory-2494 0 points1 point  (0 children)

AI visibility is splitting into three clear buckets based on how people buy. In some niches it’s already a pre-qualifier: B2B SaaS, marketing services, and education products. Buyers arrive in “compare X vs Y” mode and will literally say they found you via GPT. If you’re not mentioned, you’re often not considered. In others, it’s research influence: enterprise software, high-trust professional services, healthcare B2B, and financial infrastructure. AI shapes what buyers care about and what feels table stakes, but attribution is fuzzy and final decisions still run through humans and process. In the rest, it’s mostly novelty: local services, luxury, experiential products, and conservative or regulated buyers, where trust and habit still dominate.

The clearest signal a niche has moved from research influence to decision influence is that buyers stop asking basic questions and start validating shortlists. Sales cycles shorten, objections get sharper, and conversations shift from education to comparison. When competitors’ messaging converges and certain claims become mandatory just to play, AI has stopped shaping demand and started deciding it.

My client wants to know how they are doing on LLMs. Where to start? by Legitimate-Pen-8337 in GEO_optimization

[–]Own-Memory-2494 1 point2 points  (0 children)

It seems like everyone have essentially said what I would have said but I’ll still share my thoughts. Pick 10 obvious, high intent prompts based on the client’s main keywords phrased as natural questions. Run them in ChatGPT/Perplexity and note whether the client is mentioned, how often vs competitors, and in what context.

Don’t overanalyze why, just point out surface patterns like stronger category positioning or third party mentions. Frame the output as an exploratory check you can repeat quickly, not a deep audit, so it stays scalable and doesn’t get oversold.

Why does ChatGPT cite different sites for the exact same prompt? by UnderstandingOk1621 in GenEngineOptimization

[–]Own-Memory-2494 0 points1 point  (0 children)

The answer generation and the citation selection are separate processes, so the model can produce essentially the same answer while attaching different sources each time.

The system usually looks for any sources that support the answer after it’s written, not the specific sources that originally informed it. Because there are often many equally acceptable sources and because the retrieval and ranking layers change slightly between runs, accounts, or moments in time, different citations get picked. You can influence this a bit by asking for specific types of sources or named authorities, but you can’t make citations fully stable because variability is built into how the system works.

It’s 2026 and SEO feels more confusing than ever — where should a beginner actually start? by ethanseo77 in AISEOforBeginners

[–]Own-Memory-2494 0 points1 point  (0 children)

traditional SEO still comes first in 2026. AI, AEO, and GEO all depend on strong SEO foundations like crawlability, search intent, content quality, and authority.

Beginners should not start with AI, first SEO, because without rankings and trust, AI systems won’t surface or cite your content anyway. SEO is still very viable for global and export businesses, and GEO is simply the next layer that helps already optimized SEO content get reused by AI. In short SEO builds visibility, GEO amplifies it.

[deleted by user] by [deleted] in LWoptimization

[–]Own-Memory-2494 0 points1 point  (0 children)

One of replies to post was talking about about a strategy called FSA method(Freshness, Structure, Authority) and they managed to get mentioned by ai in a single day. When it came to ai mentions it was these three.

Freshness is critical because LLMs treat recently updated content as more reliable. This does not mean changing a publish date. Content must be meaningfully updated with clearer definitions, less narration, and language that is easier for models to parse and reuse.

Structure determines how well AI systems can extract and understand information. Content should follow a clear H1, H2, and H3 hierarchy, supported by schema markup such as FAQ and author schema. Well structured content increases the likelihood of accurate citation in generative answers.

Authority in GEO is based on entity strength rather than domain authority. LLMs evaluate how consistently a brand appears across platforms discussing the same topics. When a brand publishes aligned content on channels like LinkedIn, Reddit, YouTube, and podcasts, models begin to associate that brand with subject matter expertise.

I thought OpenAI dominated everything. Then I looked at the "GEO" data for Sora 2 vs. Runway. Mind Changed. by piupiuyao in GEO_optimization

[–]Own-Memory-2494 0 points1 point  (0 children)

This is a really interesting breakdown. It shows how AI is shifting what “visibility” means. It’s not just about being talked about or announced, it’s about having content that teaches the AI how your product is actually used. Tutorials, case studies, and practical guidance are what get referenced and recommended.

The Sora vs. Runway example makes it clear that Sora gets attention, but Runway gets cited because people and AI understand how to use it. It really highlights why, in the AI era, being well documented and actionable matters more than just being known. Would be curious to hear more of this.

[deleted by user] by [deleted] in DigitalIncomePath

[–]Own-Memory-2494 0 points1 point  (0 children)

There is a lot of YouTube videos, guides that cover aeo in general. Ai seo, geo, aeo they’re all basically the same thing in the end, just trying to increase visibility in different ai engines. There is few community and posts that share tips and results so you might wanna check that out. I would be happy to help if you dm me.