Fat Graph Content Ops

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Tap one of the links below or join @ https://facebook.com/groups/contentdistributionengine

Founder & Host

Vanta

Helping Vanta's in-house SEO team scale organic growth with editorial content.

Content Partner

Content Distribution 

We help VC backed startups leverage SEO to build massive audiences that convert into users and customers. 

Learn how drove nearly 100,000 paid customers for an A16z backed startup @ https://contentdistribution.com/seo-case-study

❌ No backlinks
❌ No technical BS
✅ Just GREAT content

Repeatable systems to win again, and again:

✔️ 0 to 47,000 organics/month in 13 months for AnyLeads.com
✔️ 0 to 103,000 organics/month in 13 months for LogicInbound.com
✔️ 0 to 116,000 organics/month in 13 months for Doggypedia.org
✔️ 0 to 119,000 organics/month in 16 months for a subscription DTC
✔️ 0 to 166,000 organics/month in 13 months for CampusReel.org
✔️ 0 to 1,500,000 organics/month in 24 months for DoNotPay.com

Clay

Helping Clay's in-house SEO team scale organic growth with editorial content.

MarketerHire

Helped MarketerHire's in-house SEO team scale organic growth with editorial content.

ClickUp

Helped ClickUp's in-house SEO team scale organic growth with editorial content.

Skiff (acquired by Notion)

Helped Skiff build a massive audience through organic search.

SEO Partner

DoNotPay

Helped DoNotPay build a massive audience with organic search.

Logic Inbound

I joined Logic Inbound as head of sales to reskill my career from sales to marketing. I knew that in order to sell SEO, I would have to learn SEO.

I took over our agency's blog and grew it from 500 to 100,000 organics/month in one year. 

Key Accomplishments:
- Re-branded and re-positioned company from small business marketing agency to servicing clients with $100mm+ annual revenue
- Added $65,000 MRR in 7 quarters (starting at $20,000 MRR)
- Podcast campaign to drive 40+ appearances for our team 
- Keynote presentations at Seattle Search Network & Stacking Growth II Conference
- Grew organic search traffic from 445 visitors/month --> 103,000 visitors/month in 13 months
- Established and grew channel partner program representing 60% of ARR
- Developed e-commerce search marketing strategy through internal R&D CPG e-commerce brand growing traffic from 0 --> 10,000 visits per month in 6 months

Director of Marketing

BitTitan

Employee #8. Ownership of full lifecycle strategic partnerships with the largest internet and hosting providers in the world, enabling them to sell BitTitan software to their customer base.

Publicly announced strategic partners include Time Warner Cable, Sprint, AT&T, GoDaddy, Rackspace, Telstra, Rogers, Bell, and two dozen of their largest global peers.

Cross functional role working across product development, marketing, legal, solutions engineering, support, and sales.

Strategic Partnerships, Telco & Hosting

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 📈

EVERY SaaS marketer needs to read Kevin Indig’s latest analysis.

He looked at 30K AI citations across 500 software categories to find out if more G2 reviews = more AI visibility.

The answer is a resounding yes.

10% more G2 reviews → 2% more AI citations. And the correlation holds even after controlling for category size and outliers.

“Small but reliable,” Kevin calls the relationship between G2 reviews and LLM citations. But in AI visibility, that matters more than it sounds.

A 2% lift on a small base doesn’t mean much…

…but in high-volume SaaS categories (CRM, project management, analytics, etc) where hundreds of AI mentions happen daily, that 2% shift can change who models recommend first.

HOW TO DRIVE MORE G2 REVIEWS:

#1: Make your G2 profile easy to find.
→ Add clear internal links (“Read verified reviews on G2”) and structured data that connect your brand, product, and review pages.

#2: Rewrite your G2 profile to convert.
→ Use clear, keyword-rich language that shows your value props, customer outcomes, and differentiators, so buyers see themselves in your story.

#3: Publish content that prompts review moments.
→ Every time you release a new case study, customer spotlight, or feature launch, treat it as a natural excuse to ask for reviews.
Share the update with your users, then follow up with:
“Would you mind sharing your experience on G2? Here’s the link.”

#4: Ask at the right moments.
→ After onboarding, renewals, or positive support interactions.

#5: Reply to every review.
→ Gratitude builds momentum. Visible engagement attracts more reviewers.

P.S. Kevin’s article linked in comments if you want to have a look.

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

Every CMO has that one slide they dread updating before QBR…

The one marked “AI Impact”.

Your CFO wants a single chart that ties ChatGPT mentions to pipeline. But all you’ve got are screenshots, side tabs, and a few anecdotes from Sales.

I get that. BUT… 

If you can’t show how AI visibility is driving qualified opportunities,
you’ll lose the budget to teams who can.

Here’s how I fix that inside SaaS orgs 👇

1/ LLM Mentions → Branded Search Lift
Track how often your brand appears in ChatGPT or Perplexity answers, and connect that to MoM growth in branded search.

2/ Branded Search → Qualified Leads
Attribute the surge in branded demand to demo requests or trial signups.
This is where visibility becomes intent.

3/ Qualified Leads → Pipeline & Revenue
Link CRM data back to those branded leads. That’s your dollar proof.

When you can show LLM visibility → branded demand → pipeline,
the conversation in your QBR changes from “what’s AI doing for us?”
to “how can we double down on what’s working?”

Don’t wait until your credibility’s hanging by a thread. Build this dashboard BEFORE the next QBR.

Need help with this? Shoot me a DM and we can jump on a call.

If I had to start from zero today (no rankings, no AI mentions, no brand), I’d only publish 3 kinds of articles.

1/ THE COMPARISON PAGE

→ Title: “X vs Y,” “Best Alternatives to [Competitor]”
→ Key elements: Skimmable intro + “who it’s for”. Side-by-side table. Clear winner-by-scenario. Proof (reviews/case studies).

- Buyers searching these terms are already evaluating their options.
- Google understands the intent clearly → high conversion potential.
- LLMs extract attributes easily (features, use cases, pricing) → you get included in option sets.
- Instantly positions you next to known competitors, creating “category legitimacy.”
- Helps humans + AI understand where you fit and why you’re a viable choice.

2/ THE “BEST OF” ROUNDUP

→ Title: “Top CRMs for Remote Teams,” “Best Payroll Software for Startups”
→ Key elements: Comparison tables. Pricing. Proof. Skimmable as hell. Position your product for that exact searcher, not everyone.

- These pages shape the shortlists Google and AI models refer to.
- Provide structured, skimmable data that LLMs love (name → features → pricing → who it’s for).
- Put your product in front of buyers who didn’t know you existed.
- Become repeatable sources for AI “top tools” answers.
- Create brand familiarity before anyone searches for you directly.
- Drive real conversions

3/ THE FIX POST

→ Title: “How to Do [Pain Point] Without Losing a Weekend”
→ Key elements: Start with the frustration. End with your solution.

- Targets the emotional moment that triggers the whole buying journey.
- LLMs favor practical, step-by-step, empathetic problem solving → these get cited heavily.
- Builds trust by showing you understand the frustration behind the search.
- Gives models clean explanations they can reuse in answers.
- Positions your product naturally as the solution at the end of the guide.

That’s it.

3 pages that take you from invisible → trusted → chosen.

Everything else can wait.

P.S. At ContentDistribution, we help brands go from invisible to #1 in AI Mode in a month. You know where to find us.

One-mention wonder (n): 

A rare digital creature spotted briefly in an AI answer… before fading into obscurity.

Symptoms include:
– One proud screenshot of a ChatGPT mention
– Zero repeat appearances
– Chronic brand invisibility

It’s the equivalent of going viral for one LinkedIn post… 10 months ago.

Happens when brands have blog content that is AI-ready, but their brand as a whole isn’t.

Recently shared what LLM-ready CONTENT looks like.
Now I’m gonna show you what a credible LLM-ready BRAND looks like:

1/ THEY EXPLAIN THEIR OFFER HUMAN-TO-HUMAN

→ Don’t bury your offer under overly-complex taglines that ‘sound good’
→ AI can’t work out context like humans can

2/ THEY’RE SPECIFIC

→ Generic “Project Management Software” won’t get you mentioned
→ “Project Management Software for Remote Design Teams” will

3/ THEY UNDERSTAND THEIR ICP & JTBD

→ Know exactly who you serve and what job they use your product to do.
→ Generic messaging kills context, which is what AI uses to connect your brand to a pain.

4/ THEY SPEAK THEIR BUYER’S LANGUAGE

→ Every strong brand has a vocabulary its buyers recognize instantly.
→ Mirror the exact phrases your customers use so AI learns to connect your brand (not just your product) with their problems.

5/ THEY’RE CONSISTENT EVERYWHERE

→ LLMs verify credibility across ecosystems
- Clean NAP info (Name-Address-Phone)
- Consistent brand tone
- Same description across LinkedIn, About pages, directories, Reddit & press.
Discrepancy = distrust signal.

6/ THEY OWN A POINT OF VIEW

→ They’re shaping trends, not just summarizing them
→ They name problems, coin terms & challenge assumptions.
→ That’s how models start associating your brand with leadership.

7/ THEY HAVE STRONG SUPPORTING PAGES

→ Resources, FAQs, changelogs, and use-case pages - all credibility signals
→ LLMs scrape those sections for depth and reliability.
→ Thin or template pages make your brand look hollow.

8/ OTHERS TALK ABOUT THEM

→ LLMs cross-reference. They check who’s talking about you outside of your site
→ Reddit threads, Quora answers, G2 reviews, expert roundups

9/ THEY’RE CREDIBLE OFFLINE TOO

→ Press mentions, founder podcasts, partnerships
→ Real-world signals improve your digital footprint

10/ THEY KEEP EVOLVING

→ LLMs prefer to cite content that is 25.7% fresher than content in Google search results
→ Keep your story, examples & proof current
→ Models stop citing brands that stop changing

Save this & repost so you don’t lose it.

P.S. Want help getting your brand LLM-ready? Our clients are #1 in AI Mode in their category. Shoot me a DM.

The busiest time for SaaS isn’t Black Friday…

It’s Q1.

While retail gets its spike in Nov, SaaS gets it in from Jan to Apr.  
When budgets reset, execs are told to “cut tools that don’t prove ROI”, and teams rebuild their stacks.

Every SaaS buying cycle follows a rhythm:

Q1: Renewal, shortlists & vendor switches
Q2–Q3: Implementation & roll-outs
Q4: Reporting, procurement & “do we really need this?”

But now, those Q1 shortlists are written inside LLMs, not spreadsheets.

And it all depends on what you’re publishing right now. This month.

What to do about it:

→ Refresh your resources, product pages & listings
→ Seed updated content in review sites and partner ecosystems
→ Keep your product metadata clean and current: models index it faster than you think

Your Q1 demo requests literally depend on your Dec graft.

Want me to take that off your plate? Send me a DM.

90% of SaaS content could’ve been written by my dog.

That’s exactly why it doesn’t get cited.

Michael King said it best: 
Every piece you create gives you another entry in the raffle.

So why SaaS brands are still posting generic AI nonsense is beyond me.

Each section of your content is another chance to get cited in AI search results…
…but only if it carries unique brand context.

The models want to see PROOF. Things like:
→ proprietary data
→ customer quotes
→ stat-backed claims
→ internal experiments
→ product screenshots

Every detail trains the model on who you are and why you’re credible. If your paragraph could have been written by anyone, it’s a wasted ticket. If it could ONLY have come from your team, that’s a winning one.

Your job now: 

1. Audit your top pages
2. Strip away the generic stuff
3. Add proprietary data, quotes or stories only your brand can tell. Spill your secrets.

P.S. highly recommend you hear it from the man himself. Link in comments.

Thinking of pausing content for Q4?

You’ll have to do double your work next Q1 to catch up to your competitors who kept feeding the LLMs while you were renewing contracts and Christmas shopping.

Every SaaS CMO plans content around predictable peaks:
→ Q1 = new budgets
→ Q2–Q3 = onboarding + implementation
→ Q4 = renewals + re-evaluations

But AI search doesn’t follow your fiscal calendar.

LLMs aren’t waiting for your Q1 campaign…
… they’re training continuously. 

And we all know from Ahrefs that they prefer content that’s 25.7% fresher than that in traditional organic results. 

So while your team “slows down for holidays,” your competitors’ data keeps feeding the next model refresh.

Their new resources, review pages, and product information become the training set that defines “best [category] tools for 2026.”

And when the Jan buyers finally ask those questions, the model’s ready and waiting with an answer of who to recommend.

ON THE FLIP SIDE, this is a huge opportunity for you to become the top recommended brand in your category.

Others will be slowing down soon. And while THEY go quiet for the holidays, YOU become the freshest signal in the model. 

Btw, I know this year’s been a lot, so my team at ContentDistribution is happy to do the heavy lifting for you. 😏

Shoot me a DM and we’ll make you the top choice. You rest up.

“HOW DO YOU TRACK LLM VISIBILITY?”

^ the question everyone’s been asking. Nobody’s really had an airtight answer… until NOW.

After getting SaaS clients to rank #1 in AI Mode, our team at Content Distribution knew the next step.

We’ve been testing every leading LLM visibility tracker out there, and none covered everything we needed.

So we’re building our own.

Here’s a sneak peek into what’s cooking 👀

Third-party testing phase:
We’re running side-by-side experiments with
→ UseHall (prompt visibility testing)
→ Trackerly (brand mentions across model updates)
→ PromptWatch (how answers evolve over time)

Each tool shows a different slice of the truth… so we’re mapping where they overlap and where they miss.

ON TOP OF THAT, we’re building an agentic workflow that:
→ Captures live screenshots of ChatGPT (GPT-5) and Gemini (AI Mode) answers
→ Tracks which brands are referenced or cited and how often
→ Monitors citation & mention movement over time
→ Rolls it all into AI SEO visibility reports

Think: a rank-tracker for AI answers.

Our goal? Every client report will show not just where they rank on Google…
…but where they appear inside the models buyers now trust most.

Once it’s live, I’ll share more about the stack and setup so you can learn from what’s working.

Follow me - Nick Jordan - to find out before your competitor.

Tom Hunt

$3.6m ARR. $0 raised. I have no idea what I'm doing.

Jan 2014.

I'm walking home from a depressing New Year's trip to Oslo with an ex. girlfriend.

It's raining in East London.

I made a decision:

I would replace my management consulting salary (£42,000) by the end of the year.

I had no idea from where, but that was the goal...

I just about hit it and left the corporate world.

And I haven't been back since.

Fast forward a decade and I've:

- Tried and failed with 17 businesses
- Invested in 11
- Learnt a LOT

The one that is finally working is called Fame:

- We have a weird culture (in a good way)
- We start and grow podcasts for B2B businesses
- We are fully remote and have 75 full-time team members

I live for our awesome team at Fame, building businesses and great marketing.

I post about them here 🤗

Founder & CEO

We start and grow the world's most profitable B2B podcasts.

Clients include:

👉 IDEO
👉 Workday
👉 HighRadius
👉 People.ai
👉 Zendesk
👉 Bevy
👉 Circle
👉 Suzy
👉 Mazars
👉 LeanData
👉 CXL
👉 Ramp
👉 Alibaba
👉 Signify
👉 eToro

We don't review CVs.

We don't use an ATS.

We don't ask for cover letters.

And we barely spend money on job ads.


Here's our hiring process:

1. Candidates come inbound
2. We review their LinkedIn profile
3. They do a short test task
4. First interview: competency-based
5. Final interview: values-based

That's it.


No six-round marathons
No "upload your resume then retype it"
No AI scanning for keywords


Just people looking at real work and having conversations.

HR SaaS businesses told everyone that hiring needs to be complex.

It doesn't.


You don't need expensive software to find good people.

Agree?

$4.5m ARR. $0 raised. I have no idea what I’m doing.

No alternative text description for this image

I cancelled a 1-1 with someone on my team.


Why?

- They were thriving
- Their OKRs were progressing well
- I had nothing meaningful to contribute

So why have the meeting?

Why waste their time because I'm insecure about doing my job?


It's called macro-management.

HINT: the opposite of micro-management.


Here’s how it works:

- They work where they want
- You provide the insight, tools and resources
- You remove barriers, blockers and distractions
- They decide the "how"
- You trust them

Put simply:

You enable.
You assist.

Then you stay in your lane...

Not theirs.

Agree?

We hired a project manager for $7 per hour in 2022.

Now he's earning $40K a year.

That's higher than 98% of earners in the Philippines.


We made him a deal:

"Where you are right now limits what we can pay you because you don't generate enough value. But the more problems you can solve for us, the more we can pay you."

E.g. we hired him for what he could become, not what he was.


He got a payrise in year 2, then in year 3, he takes on another role.

Now he's:

- Project manager
- Video editor

Maybe more in the future.


The best hires have the right attitude toward growth.

Skill gaps close with time and effort.

Character gaps rarely close.

No one is clapping when you get the second resignation email of the day.

No one is clapping at 6:37am on a Saturday as you’re combing through the P&L.

No one is clapping when it’s your 17th decision of the day.

No one is clapping when you're the only person around to reply to the angry customer.

No one is clapping when payroll looms and the bank balance isn’t where it should be.

No one is clapping when you can’t think of anything else on a Sunday afternoon.



There’s a lot of hype around starting a business these days…

I’m not sure it’s for everyone.

Most people chase salaries and titles.
Smart people choose who they work with.

Specifically: their manager.

Here's why:

A bad manager...
- Drains your energy
- Protects their position
- Watches your every move

A great manager...
- Explains why things work
- Protects you from politics
- Supports your development


The truth?

You may spend more time with your manager than your spouse.

Choose wisely.

As soon as I met Cristian and Alexandru in person, I knew I had to go.

They are the first reason I'm hosting a panel at Tekpon AI Summit 2025 in Bucharest.


The second reason is that I've spent the last 5 years working in my bedroom (pretty much).

$4.5m ARR from behind a screen.

It's working.

But now it's time to crawl out of the cave, and into real life.


So if you're in Bucharest on November 25th, come say hi.

Let's talk AI.
Let's talk marketing.
Let's talk LinkedIn.

Just let's actually talk.

If you can’t share an agenda for the meeting, we shouldn’t be meeting.

When Taplio was acquired by lemlist, they got:

- $2m upfront
- Another $6m for hitting growth targets


I asked him if it was time for beach and cocktails...

"Absolutely not."

Tibo starting sourcing young, hungry founders to build more products.

He now runs 5 products, each with difference technical founders, whilst he focuses on their growth and building his personal brand.

Now $6m ARR.


The next exit will be much bigger.

Find out how in this episode of Confessions of a B2B Entrepreneur below 👇

One of our team members' machines was compromised.

And a client found out about it.

Somehow their Slack log in was posted in a data dump, which was flagged to a client's security team.

We immediately took the compromised machine offline for deep cleaning and changed a load of other passwords.

In the end, no breach occurred, but it was a scare.

This would likely not have happened if we were using Keeper Security, Inc. 

It’s the highest-rated password manager in the world for a reason. 

It solves both the security and the productivity problem:

- Zero-Trust Security: Keeper built its entire platform on a zero-trust, zero-knowledge architecture so your business data is encrypted on your device before it ever reaches their servers

- Instant Access: The KeeperFill feature automatically enters usernames and complex passwords for you

Keeper is built to scale with your business (securely) from day one.

Check out their Cyber Week offer linked in the first comment 👇

#ad #keepersecurity #cyberweek

Brand partnership • $4.5m ARR. $0 raised. I have no idea what I’m doing.

taplio

The Battle

Nick Jordan 📈

Tom Hunt

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taplio

The Battle

Nick Jordan 📈

Tom Hunt

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