I will go first.

Here are five trends that I think are overrated, based on watching hundreds of startups build, scale, and sometimes fail.

1. AI replacing all customer support.

The hype says AI agents will handle 90% of tickets. The reality is different.

Three months. Two developers. One feature nobody used.

I knew it was bad when I checked the analytics and saw that the only person who used it more than once was me. And even I stopped after the second week.

Here's how I knew it was a waste of time. Not in hindsight. In the moment. I just ignored the signs.

The first sign: I couldn't explain it in one sentence.

I will go first.

Page views.

For months, we reported page views to our investors. The number went up every month. It looked like progress. It looked like growth. Everyone was happy.

Then we looked at what was actually happening. People were landing on the blog, reading one post, and leaving. They were not clicking on the call to action. They were not signing up for the trial. They were not coming back.

You launched. You got upvotes. Maybe you hit the top 10.

Then silence.

The leaderboard moved on. Your product is still great. No one is talking about it.

Most makers accept this. The launch is over.

For months, the narrative has been that AI search is a single channel. You optimize for ChatGPT. You win everywhere. The data says otherwise.

A 7-month analysis of citation behavior across ChatGPT, ChatGPT Search, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Claude found that every major AI engine has a persistent source preference .
Not just a trend. A consistent editorial identity that holds month after month.

The breakdown of editorial identities :

• ChatGPT Search is encyclopedic. It favors Wikipedia for Education, Recommendations, Comparison, and Purchase queries. If your content reads like a reference section, it surfaces here.

• Perplexity is video-anchored. It leads with YouTube for Education and Recommendations. Written content alone leaves citations on the table.

• Google AI Overviews is video-biased across six of seven intents. The one exception is Navigational queries, where brand-owned domains take the top slot.

• Google AI Mode is the most exploratory engine. It routes users back to Google properties for Purchase queries and cites LinkedIn for Education intent a signal none of the other engines produced .

• Gemini is YouTube-anchored across every single intent in the dataset. It is the most consistent YouTube-first engine.

• Claude bypasses the social and encyclopedic layers entirely. In early 2026 data, it never surfaced YouTube, Wikipedia, or Reddit. It goes straight to primary sources. Brand domains, institutional sources, and compliance-grade content .

February 10, 2026 Microsoft introduced the AI Performance dashboard in Bing Webmaster Tools. It showed website owners how often their content was cited in Copilot, Bing AI summaries, and partner AI integrations. The first time a major search provider gave publishers direct, first party AI citation metrics.

July 7, 2026 Google announced platform properties in Search Console for social and video content. Five months later.

Bing's dashboard was not a fluke. It was a signal.

What Bing offered first

Here's the problem nobody talks about.

Your data doesn't match. GA4 says one thing. Search Console says another. Your CRM says something else. They're all tracking the same campaign, same time period, and they give you different numbers .

This isn't a bug. It's how the systems are built. GA4 measures sessions and modeled behavior. Google Ads measures ad interactions. Search Console provides aggregated impression data. Your CRM tracks identified leads . They were never designed to agree.

The result? You spend hours trying to "fix" the numbers instead of acting on them.
Imagine this : having an operating system for SEO & GEO, that actually reads your Google Analytics, your GSC, Bing webmaster, treat your data, explain it to you, and ACT!

You have a dashboard. It shows numbers. They look official. You trust them.

Then you open another dashboard. The numbers are different. Now you have a problem. Which one is right? Neither. Both. It depends.

Here is the enigma marketers face every day.

The enigma

Two independent signals hit the same week. On GitHub, supermemory.ai (memory engine for AI) grew from 23,241 to 23,807 stars, almost 3x its previous weekly pace. On Product Hunt, "Second Brain for AI" launched at 258 upvotes persistent memory for Claude, ChatGPT, and Cursor.

A month ago, memory was baked into each agent. Now there is a wrapper layer growing on top of all of them, letting multiple agents share the same memory.

Why this matters for brand visibility: AI agents will soon remember past interactions across sessions.
If your brand appears in one conversation, a shared memory layer could surface it in future conversations without the user re-asking.
Being cited once may not be enough.
Being memorable to the memory layer is the new variable.
Imed Radhouani
Founder & CTO Rankfender

We're enhancing Rankfender's Content Generation Engine (RCGE) and v2.2 is coming in the next few weeks. Before we lock things in, we want to know what actually matters to people who use content generation tools.

Here's what RCGE already does:

• Intelligence. It analyzes the top 10 ranking articles for any keyword and identifies patterns. What structure do they use? What headers? What formatting? What makes them get cited by AI? Then it builds a brief based on what actually works, not guesswork.

• Structure control. You can add, remove, and reorganize H2s before generation. No fixed templates. You decide the flow.

• Inline images. Generated articles include images, not just text walls.

• Regeneration. Mess up one paragraph? Regenerate just that part. Not the whole article.

What we're adding in v2.2: