Everyone is panicking about the March 2026 Core Update.
It started rolling out on March 27 and will take up to two weeks to complete .
The spam update hit just three days earlier and finished in 19.5 hours, the fastest spam update on record .

But here's what the data actually says.

JetDigitalPro analyzed 600,000 web pages across the update period. The correlation between AI usage and ranking penalties was 0.011, effectively zero . Google isn't penalizing AI content. It's penalizing low-value content that happens to be AI-generated.

Websites relying on mass-produced AI output without human oversight saw traffic drops of 60-80% . Affiliate sites were hit hardest 71% saw negative impacts .

Yesterday I showed you how to audit your AI visibility. Today I'm going to show you exactly what to do with those findings.

After analyzing 50,000+ AI answers at Rankfender, we've identified clear patterns. Certain content types get cited 3x more often than others.

Here are the 7 content types that win AI citations with real examples you can steal.

First, the data:

I will go first.

We developed RAISA. A co-pilot for SEO and GEO.

Here is what it does.

It connects to your Google Search Console and Google Analytics 4. It reads your data every day. It watches your rankings, your traffic, your content decay, your competitors. Then it sends you a weekly briefing.

Hey PH Community !
We've been heads down building. Four new things in the works. I want to know which one matters most to you.

RASE v1.0 App Store Intelligence

Tracks how your mobile app appears in AI answers (ChatGPT, Perplexity) and in store search. If you build apps, this tells you where you're visible and where you're invisible.

You're building a product.
Your focus is code, features, user experience.
Not meta descriptions.
Not FAQ schema.
Not internal linking.

But content still needs to get done. Docs, landing pages, blog posts, metadata. And if you ignore it, nobody finds your product.

So you have a choice. Spend hours on content yourself. Hire someone who doesn't understand your product. Or let an OS handle it.

We're building ROSE ( Rankfender Fullstack Optimization Engine ) as a Git based library. An SDK you install directly into your repo. It runs on every commit. Checks your metadata. Validates your heading structure. Suggests internal links. Even auto fixes the small stuff.

On May 19, 2026, at Google I/O, the company announced the most sweeping set of changes to Google Search in over 25 years. The core shift? Moving from a box where you type keywords to a control panel where you deploy AI agents to do things for you.

Here is what changed and why it matters for brands.

1. The Era of "Information Agents" has arrived

You no longer have to keep searching for the same thing repeatedly.

For two years, we have been tracking AI citations through third-party tools. We built dashboards. We monitored ChatGPT, Perplexity, and Gemini. We helped publishers understand their citation patterns.

But there has been a gap. No search engine was providing first-party data on how their own AI systems cite content.

On February 10, 2026, Microsoft changed that .

They launched the AI Performance dashboard in Bing Webmaster Tools. The first time any major search platform has given publishers direct, first-party data on how AI systems cite their content .

Most content never gets cited by AI. I know because we tracked 14,000+ pages across 200+ domains.

But here's what's interesting: a small subset of pages consistently win 80% of all citations. And they follow a pattern.

We reverse-engineered that pattern. Then we applied it to our own content.

The result? Our citations tripled in 90 days.

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.