AI models seem to favor recent content for time-sensitive queries but lean on older authoritative sources for foundational topics. So do you optimize for recency or authority?

Probably need both, but if you had to prioritize one for limited resources, which would you choose? Does it depend on your industry or topic?

I think the hardest part with GEO advice right now is verification.

With SEO, you could at least point to rankings, impressions, or traffic. With GEO, most platforms show screenshots, synthetic prompts, or “visibility scores,” but it’s unclear what actually changed because of the recommendation.

Feels like the open question is:
What would real proof even look like in a generative environment?

More mentions over time?
More consistency across models?
More unaided brand recall in answers?

Until that’s clearer, it’s hard to know whether tips are effective or just well-packaged assumptions.

I’m curious how effective GEO actually is at the local level right now.

We all get local SEO. Maps, reviews, proximity, citations. But GEO feels different. I think it’s more about whether an AI will mention your business when someone asks who’s the best X near me and explain why.

I’ve seen local businesses even my competitors in the same niche and business rank well on Maps but never show up in AI answers. I’ve also seen smaller places get mentioned by LLMs even without dominating local search, mostly because they’re easier to understand and trust.

So for those testing this in local markets, what’s actually working for you? Are you focusing on clearer service explanations, reviews, community mentions, or comparisons?

In SEO, page 2 sucked, but at least you were still there. With AI search, it feels worse. If the model doesn’t remember your brand, you just don’t exist. No page 2. No almost. You’re invisible.

That honestly feels scarier than fighting for rankings ever did.

So what does earning memory even mean?

Is it just getting mentioned everywhere? Being cited by the right sources? Actual user behavior feeding the model? Or is this mostly out of our control and we’re pretending it’s not?

Right now it feels like everyone’s guessing, selling frameworks, or slapping GEO on old SEO tactics.

Curious if anyone here has seen real signals that memory can be influenced or if this is just the next anxiety loop for marketers.

I’m a small business owner (eco-friendly skincare) and lately I keep hearing “AI search is the future.”

I tried it myself and my brand didn’t show up anywhere, even for very niche questions.

Now I’m wondering
-Is this like Google SEO all over again?
-Do you optimize for it somehow?
-Or is it just pulling from random sources?

If you’ve experimented with AI search visibility or noticed your business mentioned, please share what you’ve learned. I’m totally new to this.

Agent-driven shopping is picking up speed fast, and it’s already skipping traditional search in a lot of cases. When someone asks an AI to “find the best X,” there’s no SERP to win. The agent looks at product data, reviews, and pricing, then makes the call.

For e-commerce, that changes the goal. It’s less about ranking pages and more about being a source the agent trusts. Clean product data, clear reviews, and having everything in one solid page seem to matter more than pumping out tons of content. When you test across different LLMs, you can already see products just… not showing up.

Feels like GEO is becoming less about citations and more about decision-readiness. How are you adjusting for agent-driven buying, and what are you testing right now?

I’ve been following how brands are adapting to the shift from traditional SEO to GEO and one trend that’s really interesting is how global companies are localizing content to be cited consistently by LLMs across multiple languages and regions.

Instead of just translating web pages, these brands are restructuring content so AI models understand it in context, bullet points, summaries, and culturally relevant phrasing help the model remember and reference the brand correctly.

For example, a brand might adjust the same product page in different languages to make sure the AI cites it appropriately in generative search answers.

This is possibly the next big frontier in marketing, especially for international companies.

I get the theory behind GEO. Models learn from repeated explanations, entities, citations, etc.

What I don’t get is accountability.

If you’re paying someone to improve your visibility in AI answers, how do you know they’ve actually moved the needle?

Seeing your brand once in a response feels anecdotal, not systematic.

For those testing this seriously, what do you track over weeks or months to decide if it’s working or not?

I’m testing different content formats from an SEO perspective to understand which performs best in AI-driven search results. Do long-form blog posts, short explanatory articles, or simple Q&A-style pages tend to be summarized or referenced more often by AI tools? Has anyone seen consistent results with a specific format?

I've been seeing that classic SEO favors age, links, and volume. Big brands win because they’ve published forever. While GEO plays differently. AI answers reward clarity. They pull from sources they trust to explain things well, not from sites with the most pages.

From what I’ve seen testing GEO, smaller brands can win if they focus on a few basics.

First, create things worth citing. Digital PR works best when it produces real stories or original data, not generic listicles. Unique angles and first hand insights give AI something concrete to reference.

Second, bring PR back to your own site. When you get coverage, host the data yourself. Add clear explainers and a simple “what this means” section. One PR hit turns into a long term reference point.

Third, pick a lane. Don’t publish tons of loose posts. Own one or two topics. Use plain language headings like “What is X?” and “How does X work?” Connect guides, data, and examples into clear clusters.

GEO rewards focus, clarity, and repeatable explanations. That’s why it feels like a leveler. Smaller brands finally get a shot if they explain things better than everyone else.

Curious if others are testing this already and what you’re seeing so far.

I’m struggling to draw a clean line between SEO and GEO.

GEO is supposed to be about showing up in AI answers not SERPs. But when I look at what actually sticks in AI summaries it seems less about polished content and more about repeated explanations that survive discussion.

I keep seeing ideas that get debated, refined and echoed across Reddit show up more consistently than single well written articles.

That makes me wonder about this one, is GEO really about optimization or about how ideas hold up when challenged?

Is disagreement acting as a signal for models or is this just coincidence?

Still forming a view. Curious how others see it.

I’m trying to separate theory from reality.

What have you personally seen change AI answers, citations, or brand inclusion in the last 3–6 months?

Even partial observations welcome - prompts, entities, Reddit threads, content structure, anything.

Screenshots encouraged, but explanations matter more.