You spent thousands translating your site.

French. German. Spanish. Japanese. Maybe more.

Here's the painful truth: Your site is translated. Your AI visibility isn't.

When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up.

For 20 years, SEO was a human game.
You wrote for people, optimized for Google's crawlers, and built backlinks by convincing other humans to link to you.
The inputs were human. The outputs were human.

GEO is different. You're optimizing for language models that extract and synthesize. The inputs are structured data, schema markup, comparison tables. The outputs are citations, not clicks.

So where does the human fit now?

What the data says about AI's performance:

We built a model to generate 1,000 questions that people actually ask.
Not random prompts.
We scraped 50,000 real user queries from search logs, forum threads, and support tickets across 12 industries.
We clustered them by intent and generated 1,000 representative questions.

We asked those same 1,000 questions to 5 AI models: ChatGPT (GPT-4), Gemini (Ultra), Perplexity (Pro), Claude (4.5 Sonnet), and Llama (3).
We ran the experiment daily for 30 days. We tracked every citation at the source level.

The goal: measure citation overlap.
How often do these models cite the same source for the same question?

The dataset:

We spent the last 4 months tracking 473 pieces of AI-generated content across our own site and customer sites. 218 got cited by ChatGPT or Perplexity. 255 got ignored. 12 got flagged in reader feedback as "low quality" or "clearly AI."

We wanted to understand what separates the ones that work from the ones that don't. Here's what the data showed.

The content that got cited

Three things stood out.

Hi all, I ve been working on a small iPhone game called Petopia: Merge & Collect and wanted to share it here.

It s a casual merge game about combining and collecting cute pets. I m still improving it, so I d really appreciate any honest feedback on the gameplay, UI, progression, or anything that feels off.

App Store: https://apps.apple.com/us/app/pe...

We surveyed 3,000 B2B buyers who used AI assistants (ChatGPT, Perplexity, Gemini) in their last vendor selection process.

The goal was simple: find out exactly what they asked and what actually influenced their shortlist.

The results reveal a massive gap between how companies market themselves and how buyers actually discover them through AI.

Most AI visibility tools show you a dashboard. They tell you where you're invisible. They show you competitors winning.

Then what?

You stare at the screen, knowing there's a gap, but no idea how to close it.

Last month, I went down a rabbit hole.

Product Hunt launches are every founder's obsession. Everyone wants to know the secret formula.

So I used Rankfender to analyze 1,000 Product Hunt launches from 2025-2026 tracking their AI visibility, citation rates, and what actually correlated with success.

Here's what the top 10% did that everyone else missed.

Hey Product Hunt,

I'm Imed, founder of Rankfender.

We help brands track and improve how they appear in AI answers across ChatGPT, Perplexity, Gemini, and more. In 120+ languages.

We've now tracked over 3,000 brands, analyzed 75,000+ AI answers, and helped founders recover millions in lost revenue from AI errors.

Last week, we ran an experiment.

We asked 50 SaaS founders to do one thing: check if AI answers about their brand were accurate.

Not visibility. Not rankings. Just: "Is what ChatGPT, Perplexity, and Gemini say about you actually true?"

The results scared me.