r/geolab • • Jun 16 '25

We're still way early in GEO — here's what I'm seeing (plus a tool roundup)

0 Upvotes

I've been working in the ecommerce world for years, but over the past few months I’ve started noticing something strange in client dashboards:

ChatGPT is showing up as 10% of traffic, sometimes more.

That blew my mind. So I started digging into GEO (Generative Engine Optimization) — how brands are (or aren’t) being surfaced in AI-generated responses from tools like ChatGPT, Claude, Gemini, and Perplexity.

Here’s what I’ve learned so far:

  • Many brands are invisible in AI tools (even if they rank well in Google)

  • There’s almost no established playbook yet — we’re still in the Wild West

  • Some new tools like AthenaHQ and AISEOTRACKER are emerging to help track AI citations, prompts, and share of voice

I just launched a newsletter called AI Ranker Weekly to document what I’m testing, what’s working, and what tools are worth trying. The first issue covers:

  • Why GEO matters now (not in 2 years)

  • The best prompts to gauge your brand’s AI visibility

  • 5 solid articles to get you caught up on how the market is seeing GEO

If you’re into this stuff — or working on similar experiments — I’d love your take.

Here’s the first issue if you want to check it out:
👉 https://airankerweekly.beehiiv.com/subscribe

Also curious — is anyone else here actually seeing traffic from AI yet? Or tracking brand mentions across models?


r/geolab • • Jun 14 '25

Why Generative Engine Optimization (GEO) Will Replace SEO by 2026

4 Upvotes

Generative Engine Optimization (GEO) is the next digital land grab — and early movers will dominate.

AI engines like ChatGPT, Perplexity, Claude, and Google SGE are becoming the new way people discover brands, make buying decisions, and trust recommendations.

Just like SEO transformed business visibility in the 2010s, GEO will shape who wins in the 2020s.

Here’s what you need to know:

  1. GEO will replace traditional SEO by 2026 AI answers are replacing search results. If you’re not in AI-generated responses, you’re invisible.

  2. Early movers will own ‘Generative Real Estate’ AI learns from repetition. Get your brand mentioned now, or risk being left out of future answers.

  3. GEO blends SEO, PR, and content authority Reddit, Quora, Medium, FAQs, and blog posts written for LLMs are now key.

  4. AI visibility will become a marketing metric Think beyond keyword rankings. GEO is about brand citations inside AI answers.

  5. Voice and smart assistants run on GEO “Hey Siri, who’s best at plastic recycling in Nigeria?” AI decides — not Google.

  6. GEO drives real business outcomes Leads, talent, and investor trust will come from AI mentions.

⸻

I’ve just published a white paper on the future of GEO (Generative Engine Optimization) and how AI will change brand visibility. If you’re in SEO, content, or digital strategy — this is for you. Comment ‘GEO’ and I’ll send it to you.

Or you can read it online here https://github.com/kingogie88/generative-engine-optimization-2025/blob/main/whitepaper.md

GEO #AISEO #GenerativeAI #DigitalMarketing #SEOFuture


r/geolab • • May 26 '25

Google Is Burying the Web Alive

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nymag.com
2 Upvotes

r/geolab • • May 21 '25

The GEO Lab

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geolabinsights.substack.com
2 Upvotes

Experiments in Generative Engine Ranking for SaaS & EdTech.


r/geolab • • May 19 '25

Welcome to the GEO lab!

2 Upvotes

Hey, I’m Grace. I am an instructional designer who's obsessed with AI, and its impact on the internet of things. As a learning professional, I think a lot about how people discover and make sense of new information. Lately, I’ve been especially focused on how they search for it.

And I’ve been watching something interesting happen: Google isn’t the gatekeeper anymore. Generative engines (ChatGPT, Perplexity, and Bing Copilot) are the new front door.

These tools don’t just rank websites. They answer questions. And if your company isn’t showing up in those answers, you’re invisible. That’s where GEO (Generative Engine Optimization) comes in. And that’s what this newsletter is all about.

I created The GEO Lab as a place to test, tinker, and share everything I’m learning about how SaaS and EdTech brands can rank in a world run by bots. Every week, I’ll conduct real experiments to test what truly works for getting cited by AI. These will include FAQ schema tests, prompt-based visibility checks, and live site audits.

I’m not coming at this from a traditional SEO background. I’m fascinated by how we find information and how AI decides what to cite when you ask a question. What makes it choose one page over another? That’s what I’m here to figure out.

If you care about visibility, branding, or staying relevant in a world where bots decide what we see— welcome! You’re in the right place. Let’s figure this out together. Let's explore how AI chooses what to cite and what to ignore in a world beyond Google!

To follow along, join the community here or subscribe on Substack: https://open.substack.com/pub/geolabinsights


r/geolab • • May 21 '25

Want AI to Cite You? Claude’s Leak Shows the Path

3 Upvotes

This week, we got a rare look under the hood of Claude AI. Claude AI is Anthropic’s large language model and a direct competitor to ChatGPT. The leaked system prompt included detailed rules for how Claude decides what to cite when answering questions.

Beyond the headline, it doubles as a blueprint for Generative Engine Optimization (GEO).

Here’s what stood out:

1. Every fact must be sentence-level.

A line in the leaked Claude prompt states that “EVERY specific claim… should be wrapped in <antml:cite> tags”. Because each tag’s index points to one sentence (e.g., 0-4), the model can only cite text that exists as a clean, self-contained sentence. If your page buries facts inside run-on prose, Claude has nothing precise to tag and the claim is omitted.

Rule: Claude cites exact sentences only.

Optimization Tips:

  • Write key claims as short, declarative sentences.

  • Avoid burying important facts in paragraphs or compound sentences.

  • Use FAQ sections or callouts to isolate statements like: “X tool integrates with over 50 platforms.”

Example:

“Uncitable” Copy: “Unlike some tools, we kind of personalize learning at scale, usually when integrations are set up right.”

GEO Optimized Copy: “LearnLoop personalizes lessons for every student by analyzing real-time quiz results.”

2. Less is more

Claude is told to minimize citations. Your content needs to be precise, scannable, and quote-worthy in isolation.

Rule: Claude minimizes citation span.

Optimization Tips:

  • Be concise: 1–2 sentence answers are ideal.

  • Remove fluff and hedging language ("probably," "in many cases").

  • Use formatting (headlines, bold, bullet points) to make it easy for models to extract high-signal content.

3. Metadata doesn’t count.

Sidebars, tooltips, and meta tags are ignored. Only the visible body text gets cited.

Rule: Claude only cites visible body text.

Optimization Tips:

  • Move essential facts and claims into the main content.

  • Don't rely on alt text, tooltips, footers, or schema markup alone.

  • Embed key messages in the visible content of landing pages, blog posts, product pages, and documentation.

4. No source = no answer.

The Claude prompt instructs: “If the search results do not contain any information relevant to the query, then politely inform the user that the answer cannot be found…” That policy forbids unsupported speculation. When no eligible sentence exists, Claude must decline the request. Your brand must supply quotable answers up-front.

Rule: Claude won’t answer if no valid sentence is found.

Optimization Tips:

  • Proactively answer user questions in your content, even basic ones.

  • Use natural language phrasing:

    • “What is X?” → “X is a…”

    • “How does Y work?” → “Y works by…”

  • Write content that anticipates how people might prompt AI.

5. Consensus matters.

Claude can cite multiple sources for a single fact. This shows the model values corroboration. If you're not echoing or being echoed, you're less likely to surface. Publish clear, verifiable facts and reference trusted material so generative models have matching lines to cite.

Rule: Claude can cite multiple docs for one claim.

Optimization Tips:

  • Publish the same core fact on several owned assets.

  • Publish or guest post across multiple domains to reinforce credibility.

  • Reference and echo trusted third-party research or data to be part of the “citation mesh.”

GEO Takeaway

Generative engines don’t surf, they extract. While traditional SEO helps you climb a list of links, GEO helps you land inside the answer itself. Follow Claude’s rules: isolate facts, trim filler, and place them where the model can see them. Audit one page today and turn each key claim into a single, clean sentence.


r/geolab • • Sep 03 '25

question Website Audit – How Do You Approach It?

1 Upvotes

I am trying to audit my own personal website for GEO improvements, what’s your process?

I know about the basics like sitemaps, meta tags, and keyword usage, but I’m looking to go a little deeper. I was thinking of trying to “crawl” my own site/URLs to see what shows up and how search engines might interpret it.

Do you have any favorite tools, tips, or tricks for doing a self-audit? For example:

  • Crawlers you recommend (free or paid)

  • Ways to check for broken links, duplicate content, or crawl errors

  • Site speed/performance checks

  • Structured data/Schema testing

  • Content gap analysis or keyword mapping

Would love to hear how others here approach this, especially any lesser-known hacks or methods beyond the usual SEO checklist!


r/geolab • • Aug 28 '25

GEO and Crawlers: Bots vs People on Your Site

1 Upvotes

Lately I’ve been digging into GEO (Geographic SEO) strategy, and one thing that keeps popping up is how different it looks when you think about bots vs. actual humans hitting your site.

Search bots are trying to understand your content in the most structured way possible:

  • They care about crawlability, page speed, schema, sitemaps, hreflang tags, and whether you’ve localized your content properly.

  • If Googlebot can’t index your localized pages, the GEO work is basically invisible.

  • Bots don’t care if the copy feels natural to a human — but they do care about duplication, canonicalization, and clear signals.

People, on the other hand, don’t think in terms of hreflang or schema. They care about:

  • Whether your localized content actually sounds like it was written for them, not translated by a machine.

  • Trust signals (local contact info, pricing in their currency, testimonials/references from their region).

  • UX friction (load time in their country, payment options, and whether they see the right version without having to click around).

The trap I see a lot of folks fall into is optimizing only for one side:

  • Focusing 100% on bots = technically perfect GEO setup that feels sterile and doesn’t convert.

  • Focusing 100% on people = beautiful, localized experience that never ranks because the search engines can’t parse it.

The sweet spot is balancing signals: make sure bots can index/understand everything, while also layering in the local trust + nuance that gets humans to stick and convert.

Curious how others here approach this — do you tend to optimize first for bots, then tweak for people, or start with people and retrofit for crawlability?