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.

Every major player in AI picked a side this week. And none of them picked yours.

Anthropic told the Pentagon no — no mass surveillance, no autonomous weapons, we don't care what the contract says. Hours later, they were banned from every federal agency in the country. OpenAI signed the same deal that same night. Google launched a protocol that lets AI agents buy things for people without ever visiting your website. Apple promised Siri would finally work. (Again.) And OpenAI closed a $110 billion round at a $730 billion valuation — more than the GDP of most countries.

The lines aren't blurring anymore. They're hardening. And if you're a startup founder watching all of this unfold, the takeaway isn't which company you should root for. It's that the platforms you depend on for visibility are now making decisions — political, commercial, infrastructural — that have nothing to do with your content strategy and everything to do with your reach.

One executive order can remove an AI platform from an entire customer segment. One protocol launch can move the checkout counter inside a chatbot. One funding round can turn a "research lab" into the most valuable private company on Earth.

This week we're unpacking all of it — what the Anthropic-Pentagon standoff actually means for platform risk, how Google's agentic commerce changes the game for every startup selling anything online, and why YouTube just quietly overtook Reddit as the most-cited source across major LLMs.

We also shipped something big: The Strategy Map is live inside Averi. More on that below.

And in The Algorithm Could Never, we're looking back at the campaign that proved a crusty owl costume, three Instagram posts, and zero ad spend can generate 1.7 billion impressions — if you've spent years doing the creative work no optimization engine would ever greenlight.

The algorithm doesn't pick sides. But the people who build the algorithms? They just did.

Let's get into it.

— ZC & The Averi Team

We just shipped the Strategy Map — and it might be the most important feature we've built.

Most content strategies die the week after the deck gets approved. We know because we've watched it happen.

The Strategy Map fixes that.

It's a living, visual map of your entire content territory — brand pillars, topic clusters, keyword targets, content status — all connected and all visible in a single view.

Here's what makes it different from every strategy doc you've ever ignored:

→ It builds itself. Onboard your brand and Averi generates your first map automatically. No strategist. No 40-slide deck. No "let's align on the content plan next quarter."

→ It shows you the whole picture. Your pillars, clusters, and individual content pieces — all mapped visually so you can see exactly where you have depth, where you have gaps, and where to focus next.

→ It connects strategy to execution. Every node on the map links to your content pipeline. Queue, draft, edit, publish — all from the same view where you made the strategic decision. No handoff. No lost context.

We built this because we got tired of watching great strategies turn into stale Google Docs. Your content plan should be something you actually use every week, not a deliverable that gets filed and forgotten.

And this is just the start — proactive recommendations, competitor monitoring, and performance-based intelligence are all on the roadmap.

Your Strategy Map is going to get a lot smarter.

— Averi Team

We just launched resources.averi.ai — and it's exactly what it sounds like.

431+ free templates, playbooks, guides, tools, and frameworks for content marketers and startup founders.

Here's what's inside:

→ 50 ready-to-use templates for content strategy, SEO, social, email, and editorial calendars — the kind of docs that usually live in someone's private Notion and never see daylight.

→ 20 tactical playbooks with phases, checklists, and timelines. Including "The First 90 Days" — a launch playbook for standing up content marketing at a new company from scratch.

→ 18 free tools — interactive calculators, content analyzers, and generators you can use right now without signing up for anything.

→ Complete pillar guides covering content marketing, SEO, AI content strategy, startup marketing, content ops, and lead generation. Each one is the kind of deep dive that would normally be a $49 ebook from someone's course funnel.

→ Benchmarks, comparisons, industry breakdowns, and a 75-term glossary — because half the battle in content marketing is just knowing what "good" looks like for your stage and vertical.

Not sure where to start? There's a 2-minute Content Strategy Quiz that gives you a personalized recommendation based on your stage, team size, and goals.

The 2026 Startup Content Playbook: What We'd Do With $0, $500, and $5,000/mo

Open any marketing blog right now and search for "startup marketing budget."

You'll get the same advice recirculated through a hundred different sites… allocate 10-15% of revenue to marketing, split it across channels, hire a content person, buy an SEO tool, run some ads.

Beautiful advice.

Completely f*cking useless if you're a founder staring at a bank account that says you have 14 months of runway and zero marketing hires.

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.

Duolingo killed its mascot — and outperformed every Super Bowl ad in the process.

A year ago this month, Duolingo posted a fake press release announcing that Duo the Owl was dead. No agency. No media buy. No pre-production. Just three posts, an iPhone, and what social media manager Zaria Parvez once called "a crusty owl suit."

The eulogy TikTok hit 144 million views on X. The Instagram death announcement pulled 2.1 million likes and 623,000 shares. Dua Lipa's condolence repost added another 22 million views. 450 news articles followed — 60% from top-tier publications. Over two weeks, the Dead Duo campaign racked up 1.7 billion impressions. More than every Super Bowl ad that aired the same week. Combined. With no budget.

Then they made it drive product. A "Bring Back Duo" website challenged users to collectively earn 50 billion XP through language lessons to resurrect the owl. They hit 50.9 billion — roughly 5 billion lessons in two weeks across 15 countries.

Why we love it:

This wasn't a stunt. It was the payoff of years of character-building. Duolingo spent years turning a 2D logo into a living brand personality — complete with lore, relationships (Duo's been publicly obsessed with Dua Lipa since 2021), and an unhinged voice so distinct that 22 million followers genuinely cared when it "died." The death worked because the life mattered first.

And the team moved like a startup. Parvez said they had three posts planned and were going to chill. When engagement exploded, they pivoted in real time — looping in marketing, product, and engineering within days to spin three social posts into a global campaign with localized ads, in-app integrations, and coffin-shaped merch boxes. Three business days from "huh, this is popping off" to full cross-functional execution.

The algorithm could never because no optimization engine would greenlight killing your most recognizable brand asset. No A/B test would approve a fake death announcement. No content calendar would schedule a two-week murder mystery arc with zero paid spend. The entire thing was built on creative risk, character depth, and a 23-year-old who grew the account from 50,000 to 16.5 million followers by pitching ideas her bosses had every reason to say no to.

A crusty owl suit and an iPhone. The algorithm could never.

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

YouTube just dethroned Reddit as the #1 social source AI cites. Here's what changed — and what it means for your content strategy.

For most of 2025, the conventional wisdom was clear: if you want AI to cite you, get on Reddit. That playbook just expired.

New data from Bluefish, Emberos, Goodie AI, and Profound — four independent research firms — confirms that YouTube now appears in 16% of LLM-generated answers, compared to just 10% for Reddit. That's a full reversal from mid-2025, when Reddit was the dominant social citation source across every major model.

The shift was fast. Goodie AI's analysis of 6.1 million citations shows YouTube's share of social citations doubled from 18.9% to 39.2% between August and December 2025. Reddit's share was cut in half — from 44.2% to 20.3% over the same period. Reddit's stock dropped 9.3% the day Adweek published the findings.

Why it happened: LLMs got better at parsing video. YouTube's library of long-form explainers — with transcripts, chapter markers, and structured metadata — gives AI models exactly the kind of clean, extractable text they prefer. Reddit threads are conversational, pseudonymous, and harder for AI to evaluate for authority. Structured beats messy. Every time.

→ Adweek exclusive · Tubefilter's analysis

📊 44.2% of all LLM citations come from the first 30% of your content. The intro isn't just for humans anymore. If you bury your answer under 300 words of setup, AI skips you for someone who leads with the answer. Growth Memo's February 2026 analysis found the middle of your content accounts for 31.1% of citations, and the conclusion just 24.7%. Front-load or get ignored.

📊 Only 11% of domains get cited by both ChatGPT and Perplexity. If you're optimizing for one AI platform, you're invisible on the other. Each model has its own citation logic — ChatGPT leans on Wikipedia and parametric knowledge, Perplexity pulls heavily from Reddit and real-time crawling, Google AI Overviews favor cross-platform brand presence. One-platform strategies are a liability.

📊 80% of LLM citations don't rank in Google's top 100. Read that again. The pages AI cites have almost nothing to do with the pages Google ranks. Ahrefs found just 12% of URLs cited by ChatGPT, Perplexity, and Copilot appear in Google's top 10 results. Your SEO rankings and your AI visibility are two different games played on two different boards.

📊 Brand search volume — not backlinks — is the strongest predictor of AI citations. The Digital Bloom's analysis of 680 million+ citations found brand search volume has a 0.334 correlation with AI citations. Backlinks? Weak to neutral. The implication: brand-building activities you thought were disconnected from search now directly drive AI visibility. PR, podcasts, events, word-of-mouth — they all count.

📊 AI search traffic converts at 14.2% vs. Google's 2.8%. It's a smaller volume, but the visitors who arrive from AI are 5x more likely to convert. They've already been pre-qualified by the AI's recommendation. When ChatGPT or Perplexity sends someone to your site, they're not browsing — they're buying.

📊 Organic CTR dropped 61% for queries with AI Overviews. But brands cited in AI Overviews earn 35% more clicks. The gap between being cited and being ignored has never been wider. Seer Interactive's study of 25.1 million impressions found that AI Overviews are cannibalizing traditional organic results — but the brands that show up inside those overviews are actually gaining traffic. Citation is the new ranking.

Three moves based on this month's data:

1. Front-load every piece of content you publish. Lead with the answer in sentence one. "The best X for Y is Z because [reason]." The first 30% of your content does almost half the citation work. Stop writing 200-word intros that "set the stage."

2. Add YouTube to your content engine — with transcripts and chapter markers. You don't need a production team. Record a 10-minute screen share walking through your best blog post. Add chapter markers with descriptive timestamps. Upload a manually edited transcript. That's the format LLMs are citing 16% of the time now — and climbing.

3. Audit your brand mentions, not just your backlinks. Unlinked brand mentions now drive more AI visibility than link-building. Get quoted in podcasts. Get mentioned in industry newsletters. Post on Reddit and LinkedIn under your real name. The AI doesn't need a hyperlink — it just needs to see your name next to your category, consistently, across multiple sources.

The bots are reading everything. They're just reading YouTube transcripts more carefully than Reddit threads now. Adjust accordingly.

→ The GEO Playbook 2026: Getting Cited by LLMs | → How to Get Cited by ChatGPT, Perplexity & AI Search

Strategy You Can Steal

The "AI Platform Audit" — Where Your Brand Stands Across Every Major AI Surface (60 minutes)

The Anthropic-Pentagon story isn't just politics — it's a wake-up call about platform risk. If your entire AI visibility strategy is optimized for one platform, you're one executive order away from irrelevance.

Here's how to run a quick diversification audit across the AI surfaces that actually matter:

Block 1: Platform Census (20 min)

Open each of these in separate tabs and ask the same three questions:

Platforms to check:

Screenshot every response. Where are you mentioned? Where are you missing? Which competitors show up?

Block 2: Platform Risk Assessment (20 min)

For each platform where you are showing up, ask yourself:

Map your visibility concentration. If more than 60% of your AI citations come from one platform, you have a platform risk problem.

Block 3: Diversification Plays (20 min)

Based on your audit, pick TWO actions from this list:

→ Reddit presence play: Post genuine, helpful answers in subreddits your ICP frequents. Reddit is top-3 cited across every major LLM. Six-month-old posts still get sourced.

→ Schema hardening play: Add FAQ, HowTo, and Article schema to your top 10 pages. This is table stakes for Google AI Overviews and Perplexity.

→ Entity definition play: Rewrite your About page like a Wikipedia entry. Lead with: "[Company] is a [category] that helps [audience] achieve [outcome]." LLMs use this to decide if you're credible.

→ Cross-platform content play: Repurpose your best blog content as YouTube videos with chapter markers. Video transcripts are disproportionately cited across all AI platforms.

→ Earned media play: Get mentioned (even without links) in industry publications and podcasts. Unlinked brand mentions are just as valuable to LLMs as backlinks.

The output: A visibility diversification map that shows exactly where you're concentrated, where you're exposed, and what to do about it.

The companies that win in 2026 aren't the ones that optimize for one algorithm. They're the ones that show up everywhere the bots are looking — regardless of which CEO signs which contract.

Did You Know? —  OpenAI's $730 billion valuation makes it more valuable than every publicly traded company in the world except Apple, Nvidia, Microsoft, Amazon, Alphabet, Saudi Aramco, and Meta. The entire $110 billion round came from just three investors — Amazon, Nvidia, and SoftBank. For context, that single funding round is larger than the GDP of 130 countries.

The AI industry isn't consolidating. It already consolidated. And the lines that got drawn this week? They're load-bearing.

Stay visible, stay cited.

Til next time,