0 to 1,500,000 Organics/Month In 24 Months | Workello.com

I want to work with the most ambitious brands on the internet.

Nick Jordan 📈

Search Engine Journal just dropped their AI SEO 2026 cheatsheet 👀

Here’s the stuff SaaS brands can’t afford to ignore (that doesn’t involve backlinks or spamming Reddit):

1. Technical SEO is your AI entry ticket

Means: If AI can't parse your site properly, you don't exist in AI answers. Clean crawlability, structured data, well-defined entities.
Action: Before AI SEO experiments, audit your crawlability, implement structured data, and make sure your site clearly defines your products, features + use cases as entities.

2. ~33% of organic traffic now comes from AI agents

Means: You’re optimizing for machines parsing + recommending you, not just humans clicking.
Action: Create modular, citation-ready content. Definitions, comparisons, FAQs, feature breakdowns. Structure content so AI can extract and cite specific sections.

3. Generic content is invisible to AI

Means: AI won't cite your blog post that summarizes what five other blogs already said. It has no reason to.
Action: Publish proprietary data, original research, and POVs only your company can have. The benchmark data from your platform. The patterns you're seeing across your customer base. That's what gets cited.

4. Fewer pages, better structure

Means: AI needs citation-ready content blocks, not long-form everything.
Action: Create modular, citation-ready content blocks (definitions, comparisons, FAQs, bullets).

5. Authority is how you’re described in AI answers

Means: Appearing in AI answers matters less than how your brand is portrayed inside the response.
Action: Build clear entity pages that define who you are, what you do, and why you're credible. Your about page, product pages, and positioning docs all feed into how AI describes you.

SaaS brands, tell me: which one’s holding your brand back more atm, the content quality or the technical stuff? 

P.S. full blog linked in comments, go read it

Drove 100k Paid Customers for an A16z 🚀 | ContentDistribution.com

7 reasons your SaaS SEO isn’t moving pipeline (& how to fix it)

1. You're Invisible in AI Mode and LLMs
Problem: Your content ranks on Google, but ChatGPT, Perplexity & AI Mode never mention your brand. 
Fix: Optimize for AI citations with structured data, question-answer formatting & chunkable content where each section independently answers sub-questions. Track brand mentions in ChatGPT and Perplexity, not just Google rankings.

2. Your content velocity is too slow
Problem: You publish 4 articles per month while competitors publish 40. AI models need surface area to cite you, and you're not building enough topical authority.
Fix: Create interconnected content clusters (10-14 articles per vertical) that comprehensively cover one solution area. Focus on depth within topics, not random blog posts across topics.

3. You're not creating proprietary data
Problem: You're rewriting the same information everyone else has. AI models prioritize unique, authoritative sources… and you're not one of them.
Fix: Generate original research, surveys or data analysis specific to your niche. Example: "How 500 Remote Teams Use ATS Systems" creates citeable content that competitors can't replicate.

4. Weak mofu content leaves prospects stranded
Problem: You have plenty of awareness content, but nothing for prospects actively evaluating solutions. They learn about the problem from your blog, then evaluate competitors.
Fix: Create comparison content, integration guides, ROI calculators & implementation frameworks. Cover queries like "How to evaluate [solution]" and "[Your category] requirements for [specific use case]."

5. Your content structure is AI-hostile
Problem: Long paragraphs, complex sentences and buried answers prevent AI from extracting and citing your content. AI Mode looks at individual paragraphs and can't parse your 8-sentence blocks.
Fix: Use 15-word sentences max, 2-sentence paragraphs, and answer questions in the first sentence. Format headers as questions. Make every section independently valuable.

6. You have to attribution for AI traffic
Problem: You're getting traffic from LLMs but can't measure it, so you're undervaluing the channel. Leadership sees "declining Google traffic" and panics.
Fix: Set up GA4 AI referral tracking and monitor AI Mode in GSC. Track your engagement metrics.

7. Your CTAs don’t connect content to problem
Problem: Generic "Book a Demo" buttons on every article. Readers finish learning about "[Broad Topic]" and have no logical bridge to why they should talk to you specifically.
Fix: Write topic-specific CTAs that connect the article's solution to your product's capability. 

Which ones are you struggling with rn? 

And if I missed any, let me know in the comments.

Apple recently announced they're powering the new Siri with Google's Gemini, and if you're in B2B SaaS, this should terrify and excite you in equal measure.

Why you should care:

#1: 1.5 billion daily queries just became agent-first

Siri fields 1.5B requests per day across 2B+ Apple devices. Every single one now runs through Gemini's retrieval layer.

Instead of Googling "best project management software", your buyer’s asking Siri between meetings. Siri will spit out 2-3 recommendations. You need to be one of them.

#2: Apple chose GOOGLE. Play by Google’s rules.

Apple evaluated Anthropic and chose Gemini for its Search advantages. That’s Google's entire index, NavBoost (one of Google’s strongest ranking signals), and 25 years of query understanding. Good SEO is still the CRUCIAL FOUNDATION of good AI SEO.

If you're not ranking in Google, you likely won't appear in Siri's recommendations. But ranking alone isn't enough. You need to be optimized for how Google parses your content for AI retrieval.

How to play by Google’s indexing rules for both traditional & AI search:
→ a page for every meaningful topic, service, or feature your customer might search for
→ make it easy for Gemini to cite your content: structured, skimmable, grounded, useful to humans + AI (bullet points, FAQs, tables, headings written as prompts etc)
→ information gain: fresh data, original insights, proprietary analysis

Take action NOW:

Upgraded Siri launches later this year. By Q4 2026, brands dominating Gemini's retrieval layer will have an insurmountable moat. They'll be the default options for billions of purchasing decisions.

We’ve spent the past year preparing for this shift, getting clients to #1 in AI Mode. Pop me a DM if you’re tired of waiting.

4 questions to ask anyone selling AI search management (& 🚩s to look out for)

#1: How will you influence AI answers about my brand?

What you want to hear:
→ holistic strategy that integrates with the rest of your marketing
→ cross-channel awareness
→ evidence of sentiment control

🚩: tactics without context

#2: How will you coordinate with other marketing functions?

What you want to hear: 
→ how they plan to integrate with PPC, affiliate, video, brand, PR

🚩: off-page tactics (influencing forums, YT presence, 3rd-party platforms)
^ these are short-term suggestions and can’t bring long-term consistent visibility without an owned channel (your domain).

#3: Which distribution channels will you use?

What you want to hear:
→ owned channels first
→ selective amplification

🚩: “Reddit, YouTube, guest posts” without strategy

#4: Am I ready for LLM visibility?

What you want to hear:
→ readiness depends on:
- brand maturity: established brands with existing authority perform better
- content foundation: you need quality content that already ranks and converts
- product/market understanding: clear positioning and proven product-market fit
- multi-touch campaigns: especially critical in YMYL (Your Money or Your Life) niches

🚩: "Everyone should start now regardless of readiness"
→ ignoring your current SEO performance
→ no assessment of your brand's digital footprint
→ treating LLM visibility as separate from traditional SEO

The agencies promising quick wins in ChatGPT or Perplexity without addressing your fundamentals are selling you the same dream link builders sold in 2015 btw. We've seen this movie before.

Wanna rather avoid the risk altogether and leave it to the pros? I’ve recently taken clients from 0 to #1 in AI Mode. Let’s chat.

CMOs are stuck in the worst catch-22 right now:

Can't prove AI SEO ROI without investment. Can't get investment without proof.

At Content Distribution, we've spent the last 18 months building the tracking, the pitch, and the proof CMOs need to get budget for AI SEO. Here you go:

THE DILEMMA:

Finance wants: 12-18 months payback proof
Reality: You need 6-9 months just to generate signal
Leadership patience: 3-4 months max

Worst part, traditional tracking doesn't work for AI SEO.

Someone searches "best compliance automation for healthcare" in ChatGPT. Three days later, they Google your brand and convert.
The channel that gets the credit? Google.
But ChatGPT planted the seed….

This is why AI SEO leads seem impossible to track. And why CMOs can't get budget approved.

HOW WE SOLVED IT:

We pitch a unified AI SEO strategy, not AI + SEO as separate channels.

Same content, same investment, optimized for both traditional search AND generative search.

We built an internal tool that tracks:
- Visibility rate by platform
- Mentions & citations
- SoV across prompts
- Prompt-level appearances
- Top-performing prompts

^ this solves the attribution blackhole.

HOW TO PITCH IT SO IT GETS FUNDED:

Don't Pitch ROI. Pitch ROAS.

ROI:
→ "We think this will pay off over 12 months"
→ Depends on CAC, time window, attribution model, retention
→ Easy for CFO to push back on/delay

ROAS:
→ "If we spend X this month, here's the return this quarter"
→ Benchmarked against existing acquisition channels
→ Tracked monthly with leading + lagging indicators
→ Familiar to finance

We compare AI SEO against your performance channels (paid search, affiliates, review sites, video, etc.).

^ Most of those convert somewhere between 4.5% and 10%.

By months 6–7, AI SEO's early indicators usually land in that exact same range.
Once AI SEO's accountable like paid before compounding shows up… the budget conversation flips.

WHY WAITING IS THE REAL RISK

LLMs compare paragraphs, not domains. Traditional SEO advantages don't transfer. If you wait for "perfect proof," competitors are establishing themselves as the sources LLMs cite.

Want to stop waiting? DM me.

Soo, ChatGPT is testing ads on the lower tiers. Welcome to the Black Mirror-verse. 

In a recent episode, a woman needs brain-implant software to stay alive. It runs on a subscription. She can’t afford the ad-free tier, so she starts unknowingly speaking ads.

This feels pretty similar. 

In 2024, OpenAI CEO Sam Altman called AI + ads “uniquely unsettling.”
In 2026, here we are. 💀

Truth #1: OpenAI chose ads over forcing subscriptions…. but look at the cost

OpenAI has +800M+ users. $20B in revenue. Not enough for their 8yr $1.4T AI infrastructure commitment. Plus, there’s free AI alternatives everywhere (AI Mode for one). 
Instead of pushing everyone to paid tiers? They're introducing ads to monetize free users.

Sounds reasonable. Until you connect the dots…

The Black Mirror character’s brain subscription starts at $300/month. Then ads appear. To remove them, she has to upgrade. Then upgrade again for features that should’ve been included.

Each new tier monetizes her dependency.

Sound familiar?
ChatGPT Free: (with ads)
ChatGPT Go: $8/month (with ads)
ChatGPT Plus: $20/month (no ads)
ChatGPT Pro: $200/month (premium, no ads)

Start cheap, add friction, charge to remove it…

Truth #2: This breaks trust

People don’t talk to ChatGPT like Google.
Google: "best CRM software"
ChatGPT: “I’m overwhelmed, on a tight budget, and I need to know what CRM software I can implement by Friday.”
That unfiltered context is what makes ChatGPT useful. And now it's being used to sell ads.

When users realize recommendations are sponsored, irrelevant ads risk collapsing trust. Bc unlike Google (where ads are expected), ChatGPT built its reputation on being independent.

WHAT SAAS BRANDS SHOULD DO NOW

#1: If you want to use ads, proceed strategically
ChatGPT is for deep work and decisions. The difference between helpful and annoying is which prompts you target.
Does your ad solve the exact problem in their question or does it interrupt their focus with something unrelated?

#2: Still focus on getting mentioned/cited naturally
Scenario A: Your ad appears on the right prompt. User considers it as a solution.
Scenario B: ChatGPT naturally mentions you. User sees you as the trusted authority.

Both work. But organic AI presence compounds while ads require ongoing spend.
Build:
- Proprietary data AI needs to reference
- Genuine expertise AI can't replicate
- Brand trust that survives the zero-click era

#3: Design your monetization strat now
In the Black Mirror episode, the woman became a walking ad because they needed to monetize her brain.
What will you do when you need to hit your numbers?
Design your approach to ChatGPT ads (and all monetized AI platforms) NOW. Get clear on which prompts you'll target and which lines you won't cross.

What do you guys think about ChatGPT launching ads? Let’s argue in the comments

🤫 Shhh, here’s the secret to how I got a client from 0 visibility to #1 in AI Mode in just 38 days…

… by tracking metrics most SaaS brands don’t know exist.

While most SaaS brands froth over Google rankings, AI search is capturing 30-50% of total search visibility. If you're only watching Search Console, you're missing half the game.

This one-pager shows you the exact metrics we track for every client at Content Distribution to dominate across traditional search AND AI platforms.

Want us to handle it all for you? Let's talk.

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