Hey there,

Welcome back to another Don’t Feed The Algorithm, your weekly dispatch from Averi — where we explore the intersections of marketing, AI and the future of work.

In 2026, the marketers who win won’t be the loudest.

They’ll be the most systematic.

AI has flattened the cost of creation. Everyone can publish now. Everyone can ship. Everyone can “do content.”

But very few teams are building content engines — systems that research, create, structure, distribute, and compound intelligently over time.

That’s why this week’s feature makes a bold claim:

2026 is the year marketers become content engineers.

Not writers. Not posters. Not social schedulers.

Engineers.

People who design repeatable systems that turn insight into output, output into authority, and authority into growth — across search, LLMs, and every channel that actually matters.

To make that idea practical, we’re pairing the feature with two execution-heavy reads:

• 10 high-impact content ideas B2B startups can deploy immediately — no massive team required

• A complete programmatic SEO playbook for 2026 — built for AI search, not legacy rankings

This isn’t about producing more content.

It’s about building infrastructure that works while you sleep.

Let’s stop feeding the algorithm — and start building engines.

— ZC & The Averi Team

Build Your GEO/LLM Search Optimized Content Engine in Q1 2026

Content is still the biggest growth lever for early-stage startups, 62% cheaper than traditional marketing, generating 3x more leads.

But the playbook has changed fast.

50% of B2B buyers now start in ChatGPT, not Google. AI-referred traffic is up 527% this year alone.

Averi built a GEO-optimized content engine that increased our organic & LLM referred traffic by 6000% in 6 months.

We’ve now created that platform for you - in one cohesive workflow. Built for startup speed & flexibility.

— Averi Team

Scaling content as a startup is f*cking hard.

Most advice is either too generic or written by people who've never shipped anything claiming to be a guru.

So we’ve launched r/startupcontentlab: a Reddit community for founders, engineers & marketers who are tired of sifting through the hordes of articles that just want your ‘click’ and don’t actually help you to build content engines that actually drive growth.

This is a place for real strategy, AI workflows, what's trending, and honest conversations about what's actually driving growth (and what's not). Just people figuring it out and sharing what they learn.

If you're building content systems to scale your startup, you'll fit right in.

Join our Reddit Community for Startup Founders building Content Engines to grow their businesses:

2026 Is The Year You Probably Should Become a Content Engineer

You don't need to become a better content creator.

You need to become a content engineer.

The distinction matters more than any marketing trend you'll read about this year. Because while everyone else is debating whether to use AI for writing, the smartest founders are building systems that make content marketing work while they sleep.

If 2024 was the year of adopting content generation with AI and 2025 was the year of adopting no-code AI agents, then 2026 is the year it all comes together.

The game has shifted from "who can write more" to "who can build smarter systems." And for startup founders juggling product, fundraising, and growth, becoming a content engineer is the only way to compete.

Let's talk about what that actually means… and how to do it without becoming a full-time marketer.

We all know the industry loves to pretend it’s got it all figured out.

But here?

We tell the truth.

Every week, we’re asking you to share how things really work behind the scenes. Because getting better starts with getting honest.

Don’t worry, it’s a safe space.

Drop your vote.

But seriously though… how is it ALREADY 2026?

Aether Apparel — “Outside Is Calling”

Aether didn’t try to sell jackets.

They sold permission.

“Outside Is Calling” wasn’t a product launch or a seasonal push. It was a quiet, cinematic reminder that the best things in life still happen offline — in cold air, empty roads, early mornings, and places without Wi-Fi.

The visuals were sparse. The copy was minimal. The pacing was slow enough to feel risky.

No loud CTA. No urgency hack. No discount anchor.

Just a mood that said: close the laptop, put on a layer, go somewhere real.

Why We Love It:

Because this is brand confidence in its purest form.

An algorithm could identify trending aesthetics.

It could remix “outdoor vibes.”

It could optimize for watch time or clicks.

But it couldn’t decide to intentionally underperform in favor of long-term brand gravity.

Aether understands something most brands forget:

If you want people to trust you, you can’t sound desperate for attention.

This campaign works because it feels lived-in — like it came from people who actually go outside, not a dashboard chasing engagement.

It doesn’t interrupt your feed. It pulls you out of it.

And that kind of restraint?

That’s not generative.

That’s taste.

Want to see more of the best marketed companies on the planet? 👇

AgileRL: The Reinforcement Learning Platform Making AI Smarter Through Trial & Error

In a world obsessed with big language models and flashy demos, AgileRL is quietly building something different — and arguably more foundational.

This London-based AI startup isn’t about chat or content. It’s about making AI learn better: faster, more efficiently, and with real-world decision-making baked in. Their platform helps engineers and data scientists run reinforcement learning (RL) — the core technique behind autonomous control, robotics, adaptive systems, and next-gen AI models — without expensive custom labs or brittle workflows. 

The Backstory: Founded in 2023 by Param Kumar and Nicholas Ustaran-Anderegg, AgileRL saw a persistent problem: building robust RL systems is slow, complex, and expensive. Instead of forcing teams to cobble together infrastructure, AgileRL created Arena — a centralized toolkit where simulations, testing, and training happen in one place. That means developers can iterate faster, test smarter, and focus on outputs, not setups. Their approach has already seen hundreds of thousands of downloads and adoption by big names like Airbus, IBM, and JPMorgan. 

Key Innovation: AgileRL’s Arena platform lowers the barrier to RL experimentation with pre-built environments, monitoring dashboards, and flexible simulation pipelines — all under a freemium model. Instead of custom code for every use case, teams can leverage standardized tools that accelerate learning loops, reduce infrastructure friction, and open up RL beyond niche research labs. That means smarter AI agents for everything from robotic control to dynamic optimization — faster, cheaper, and at scale.

Did You Know? —  Content engineered around a single, repeatable point of view earns 2–3× higher engagement than content optimized purely for keywords — even when rankings are identical.

Attention follows conviction, not volume.

Til next time,