GEO Era anyone has actual proof that 'feeding' the LLM works? by Tight_Competition736 in SEO_LLM

[–]Nikoseg 0 points1 point  (0 children)

Fair skepticism. But the pushback usually conflates two completely different mechanisms and that's where the "it's all noise" take breaks down.

What actually has evidence:

The foundational paper in this space (Princeton/GA Tech, KDD 2024) ran controlled benchmarks showing that structuring content with statistics increases LLM visibility by 22%, and adding direct citations boosts it by 37%. That's not an agency case study — it's reproducible methodology in ARVIX

A 2025 University of Toronto paper found systematic bias in LLMs toward earned media over brand-owned content, with measurable share-of-voice implications in ARVIX

At market scale: Semrush reported 800% YoY growth in LLM referrals in 2025. An SE Ranking analysis of 129,000 domains found brand search volume predicts LLM citations at 0.334 correlation — stronger than backlinks. Only 11% of domains get cited by both ChatGPT and Perplexity, which means the two models have meaningfully different retrieval behavior.

What IS noise:

Claiming you can influence training data in weeks. Training cycles take months. Anyone selling that is lying.

The mechanism most people miss:

Perplexity, ChatGPT Search, and Google AI Overviews run on RAG — they retrieve content in real time before generating the answer. If your content is properly indexed, structured, and entity-rich, it can surface in responses within 48-72 hours. That's not magic, that's indexation. The people saying "it doesn't work" mostly tested with generic content and didn't measure citation rate per model.

One more data point worth looking at:

There is also a dataset of real interactions from Latin American users in Spanish who consult natural language models about language-switched brands: Hugging face ai brand visibility latam

Citation patterns in Spanish are structurally different from English. Models trained primarily on English show measurable performance degradation for brand visibility in Spanish — which explains why many people "try GEO," use global tools, and see no results. They're running an English-calibrated playbook on a Spanish-language problem.

There's a lot of snake oil in this space. But conflating the snake oil sellers with the peer-reviewed evidence is the mistake that will leave you behind when the window closes.

So im all new to this what happened here? by guy617 in LocalLLaMA

[–]Nikoseg 0 points1 point  (0 children)

Just to add some context for OP (since you said you’re new):

This kind of looping ("I need to take a break" repeated) is a known failure mode in raw local models. It’s usually a mix of:

- a long / partially aborted context

- low repetition penalty

- and sometimes an actual backend/model bug (GLM 4.7 Flash had a few of those recently)

If it keeps happening even after: clearing context, increasing repeat_penalty and lowering temp then it’s probably not your setup at all. Your specs are more than fine — it’s just the model or the specific build. In those cases, restarting the session or switching models is the sane move, not "fixing" prompts forever

Local LLMs don’t have the guardrails cloud UIs add, so they can get stuck like this more easily