SuperMarketers

If you are a High Growth B2B SaaS, SuperMarketers Is Your Done-For-You Demand Gen That You've Been Needing. 

Our primary goal is to boost your SaaS revenue effortlessly with our expert, done-for-you demand generation services—saving you stress and costs compared to running an in-house marketing team.

Book Your Free 45 Minute Strategy Session To Learn How To Use AI To Scale Your SaaS More Profitably and Efficiently: 

👉 https://tidycal.com/genfurukawa1/45-min-marketing-strategy-session-with-gen-furukawa

Founder

MarketerHire

Course Creator and Lead for MarketerHire's first AI course. 

The course is a 30 Day Intensive on Content & SEO, teaching marketing experts and freelancers in the MarketerHire community.

Marketer in Residence

Content at Scale

Joined Content at Scale as VP of Marketing to build brand awareness in the AI writing space. 

In my short time there: 
- Built Content at Scale's Prompt Library -- created 10k prompts to help entrepreneurs, marketers, business leaders learn how to use AI to accomplish their goals. 
- Helped launch a community for Content at Scale. Educated members on AI use cases for marketing with weekly workshops, webinars, and tutorials. 
- Recorded 14 podcast episodes on AI and Marketing with industry leaders like Brian Dean (Backlinko, Mike King (iPullRank), Travis Jamison (Investing.io).

VP Marketing

Prehook

I co-founded and sold Prehook, a quiz platform for Shopify merchants. 

Our goal was to build a software to help Shopify merchants learn more about their customers with quizzes. 

In just a few minutes, merchants could publish a quiz to ask a few questions, capture an email/SMS, and recommend a product. No coding required. 

Brands like Spikeball, Smile Direct Club, Evolve Skateboards, JOI, Teelixir, Camille Beckman and hundreds grew their audience, captured zero party data, and drove incremental revenue with Prehook's quizzes. 

Created thought leadership around ecommerce quizzes and zero party data in:
- our blog
- weekly newsletter
- podcast (CartOverflow.com)
- industry events (2x eCommerce, AdWorld, ProductLed Growth Summit)
- Guest on industry podcasts (eCommerce Fastlane, $100 MBA, eCommerce Badassery etc)

Co-Founder

CartOverflow.com (podcast)

Learning and sharing ecommerce marketing with smart people doing cool things. Weekly episodes with interesting guests (operators, agencies, service providers, SaaS folks) alongside co-host Jeremy Biron. episodes at www.cartoverflow.com

Co Host

Retainable

Retainable helps B2B companies reduce churn.

Boost your monthly recurring revenue, instantly. Retainable helps B2B software companies create a flywheel — increased retention; higher lifetime value; higher MRR. Email me if you have questions: gen@retainable.com

Jungle Scout

On the founding team and first marketing hire, helped lead growth of the company to over 100k customers. 

Working alongside CEO and executive team, I am responsible for the marketing strategy, recruiting/hiring, and execution of all Jungle Scout products. This includes Jungle Scout, Jump Send, Splitly, and Fetcher. These marketing efforts have helped establish Jungle Scout as the market leader for all Amazon seller software and educational resources. 

Particular focus on customer acquisition and retention. The primary marketing responsibilities include growth from SEO, content, paid, social, email, copywriting, conversion rate optimization, YouTube and more.

Helped lead Jungle Scout's international marketing strategy, particularly the growth in the Chinese market. This includes recruiting and hiring the first marketer focused solely on the Chinese market, and establishing the Go To Market strategy, junglescout.cn site, and helping to manage the growth of the team in China. These efforts have contributed significantly to Jungle Scout's Annual Recurring Revenue.

Vice President of Marketing

Amazon Product Research, Made Easy. 

Leading the digital marketing efforts for the industry-leader in Amazon product research, I focus on strategy and execution of: content, email, SEO, paid acquisition, analytics, split testing, conversion rate optimization, copywriting, and more.

Head Of Marketing

Fetcher.com

Growth

Splitly

Splitly is the only tool to help Amazon sellers maximize profits by running automated split tests.

Jump Send

Building a marketplace for the top Amazon Email Automation and Coupon Distribution Tool. I focus on helping sellers leverage email follow up campaigns to gather product reviews and improve conversion rates.

Done-For-You B2B SaaS Marketing | Founder @ SuperMarketers: Generate More Leads Effortlessly | Let Proven Experts Handle It All | Book A Call To Learn How 👇

Are you a SaaS leader looking to improve your marketing -- more high-quality, inbound leads at scale?  

SuperMarketers is a Done-For-You marketing agency that handles everything: Strategy, Execution, Marketing Ops, and Growth. 

We can do this more efficiently, and with greater impact, with our proprietary AI-driven marketing system. 

At a fraction of the cost of growing your in-house team or working with traditional agencies. 

I can do this because I've been in your shoes. 

I was a bootstrapped co-founder of an eCommerce SaaS, called Prehook. 

We sold in April 2023. 

It was a six figure sale. 

I know that it would have been a bigger outcome if I had the SuperMarketers growth system. 

I am deep in the AI and marketing space: 

I teach AI and marketing (for MarketerHire, a global network of top tier digital marketers). 

I podcast about AI and marketing (podcast is called SuperMarketers of course).

Helping write a book on AI and marketing (with Jon Nordmark, CEO of Iterate.ai).

And of course I help B2B SaaS brands grow profitably leveraging AI and automation--market leaders like Octane AI, Iterate.ai, Pipio.ai, and more.  

Previously I was part of the founding team and VP of Marketing at Jungle Scout, leading a team of 25 marketers through the $110M fund raise lead by Summit Partners. 

Book a 1 on 1 Strategy Call With Me To Learn Exactly How You Can Use Ai To Scale Your Marketing More Profitably and Efficiently, Without Spending Any Money. 

➡️ Book It Now: https://tidycal.com/genfurukawa1/45-min-marketing-strategy-session-with-gen-furukawa

🌷 Gen Furukawa

Ross Hudgens analyzed 200 websites to see what's working in search.

1️⃣ ChatGPT traffic is flattening. 

2️⃣ Google traffic is growing.

But the type of content that ranks has completely changed.

For most B2B companies, pipeline is steady or growing even if topline traffic is soft.

The shift is in what kind of content actually drives results, specifically: 

✅ Guides and playbooks still get the most traffic.
✅ Comparison pages are holding strong.
✅ Pricing and cost pages are performing well.
✅ Case studies saw a lift in engagement.
✅ Trend content is getting attention.

What's dying:
🟥 "How to" posts are losing visibility.
🟥 "What is" definitions are getting buried.
🟥 Anything that can be answered in a single snippet isn't getting clicks anymore.

If an LLM can summarize it in one sentence, users never hit your site.

Some suggestions that Ross suggests: 
1. Move resources toward bottom funnel. 
2. Build out pricing pages. 
3. Create detailed comparisons. 
4. Add interactive tools like calculators or templates. 
5. Refresh your case studies.

And if you're going top funnel, make it complex, like use visuals, embed video, add proprietary data. 

Just make it multimodal enough that it can't be compressed into a snippet.

The main takeaway is that search is definitely going away, simply the bar for content is just getting higher.

Done-For-You B2B SaaS Marketing | Founder @ SuperMarketers: Generate More Leads Effortlessly | 1x SaaS Founder & Exit | Book A Call To Learn How 👇

A lot of AI content still seems AI and robotic because people give the model way too much freedom.

AI writes by choosing the most predictable next phrase. 

This pattern creates the same rhythm, the structures, and the same “AI cadence” everyone can spot instantly.... (ie "it's not X, it's Y").

But if you tell the LLM to “sound human”, it is ineffective because the model simply picks more predictable language that fits that request.

So if you want the writing to feel human, you have to break the model’s probability loop.

You can start by forcing a specific voice instead of adjectives, ideally your own! 

Specifically named styles collapse the generic phrase pool and push the model out of autopilot.

Also, add oddly specific details that only a real person would mention.

Humans anchor to moments and specifics, while models default to generalities unless you pin them down.

Another tip is to create a running list of common phrases and structures that models lean on.

The goal is to eliminate the smooth, symmetrical phrasing that gives away AI-generated work.

In short, don’t ask the model to “be human.”

You give it constraints that make predictability impossible.

I’ve been rebuilding my content workflow inside Claude Code, and it’s already changing how I work.

I'm not technical, and kinda regret the initial apprehension about using a "coding" tool....ChatGPT and Claude are definitely sufficient to bridge that gap. 

The screenshot shows part of the system I’m building to turn raw transcripts into structured insight...it can be for a podcast, sales transcript, internal call, etc. 

The folders on the left are not code projects, but just steps in a system that turns raw thinking into structured content.

This is probably how we will all work in the near future, creating small agents to handle a specific part of the process. 

Using this repeatable logic saves time and creates consistency.

For example, one agent takes a podcast transcript and turns it into the things I actually need, like Title, description, time stamps, etc. 

Another agent applies the AEO lens. It looks at what parts of that transcript are extractable, highlights ideas that match the patterns LLMs tend to surface and the pieces that help a concept travel into AI search.

Another agent turns those insights into outlines and content plans. This is near automated and instantaneous, with better quality because the inputs are structured.

In short, Claude Code forces any repeatable task intoa workflow that runs the same way every time.

Still early, but this approach already produces clearer insights and cleaner AEO structure. It also gives me more confidence in the content I deliver for clients.

Google just dropped Gemini 3 and it finally understands the world the way we do.

It reads video, audio, images, movement, and text together as one coherent input.

It goes beyond pattern matching and actually reasons through what is happening in a clip.

You can upload any video and get a true breakdown of what is happening frame by frame.

I tested it by uploading a video of my basketball shot to see if it could analyze motion, timing, pace, and mechanics.

It gave me strengths, weaknesses, corrections, and a plan based only on a few short clips.

But if you want more helpful applications as a marketer: 

👉 You can upload your top ads and ask Gemini why they land, why others flop, and where creative fatigue is creeping in.

👉  You can upload competitor ads to get a precise breakdown of hooks, pacing, messaging gaps, and unique angles they are winning with.

👉  You can record your landing page and ask Gemini to identify friction points, confusing copy, layout issues, and missed opportunities.

👉  You can pair video with analytics and ask which frames or moments likely cause drop-off or bounce.

👉  You can upload sales call recordings and transcripts to surface objections, tone shifts, emotional cues, and coaching moments.

👉  You can upload a product demo from a competitor and get a structured comparison of positioning, missing claims, and angles you should counter.

This is the first time marketers can turn raw video into structured insights without manual review.

This is also a preview of how search and discovery will evolve as multimodal understanding becomes the default.

And yes, I have a long way to go to improve my basketball shot...when asked who my shot resembles, one name was Kevin Martin, historically one of the funkiest shots in league history 😂

I built a small AI agent this week that does something I used to do manually.

It watches what’s being posted on LinkedIn in a niche. 

It captures what gets engagement. 

Then it analyzes the post the way an LLM would. 

Topics, hooks, angle, and how the idea is structured.

The output lives in Airtable, so it’s not just “inspiration”, but actually queryable intelligence.

How it works: 
	•	Pulls posts from specific thought leaders in a topic area, for me that was AEO and AI marketing.
	•	Stores the original post link and basic context.
	•	Adds structured metadata so you can filter and learn patterns fast:
	•	topic cluster
	•	hook type
	•	content format
	•	angle
	•	engagement proxy

This "intelligence hub" is actually a way to build leverage too. 

I’m not a developer. The build is mostly just clarity on inputs and outputs.

The setup for this: 
	•	Apify collects the posts.
	•	Claude Code is the control layer. I describe what I want in natural language, and it generates the logic plus the structure.
	•	Airtable is memory. The hub gets smarter every time new posts land.

One underrated move: 

I asked Claude Code to design the Airtable schema first. It gave me the fields and field types. I pasted it into Airtable and the table was basically done in under a minute.

AI doesn't generate more net new content, but is used to replace: 
	•	manual research
	•	random ideation
	•	low-signal posting

With:
	•	a living dataset of what the market is rewarding
	•	repeatable patterns you can actually see and filter
	•	direction that compounds over time

Oh and also inside the agent, there is a sub-agent for things like:
	•	hook optimization
	•	voice consistency checks
	•	banned phrases and banned structures

That’s how you keep outputs on-brand instead of generic.

WHat other agents would be helpful to build out for marketers?

LLMs do not read your article in its entirety.

It slices it into small chunks and only keep the chunks that express a single idea with absolute clarity.

If a chunk is scattered, the model drops it. and conversely, if a chunk is clear, it becomes part of an answer.

Here are five simple ways to create content chunks that are valued by LLMs: 

- A definition.
- A set of steps.
- A comparison.
- A direct question and answer.
- A real example.

These formats survive chunking, get reused in answers, and scale your ideas without extra effort.

Long rambling paragraphs that feel smart but break into unusable pieces....this was my (cringey) writing style in college, seemed to make sense but is not valuable then, or now. 

Write in a way that makes your ideas easily extractable, for LLMs and your readers. 

One idea per chunk.
One chunk per format.
Five formats that consistently show up in AI answers.

That is the blueprint.

Google just made a quiet but important change to AI search.

When you search something in AI Mode, Google now includes WHY certain sources are relevant.... before it shows the links.

This is important and relevant because AI search is no longer just about ranking, or being mentioned or cited, but being explainable is now important. 

Google’s AI is literally telling users “Here’s why I trust these sources.”

Content that wins now is:
 • clearly scoped
 • structurally organized
 • explicit about the problem it solves
 • easy for an AI to summarize and justify

And generic content is harder to explain. Death to AI slop 😅 

So when creating content: 
- Write content AI can summarize in one sentence.
- Use definitions, steps, examples, and FAQs.
- Build content systems, not one-off posts.

Structure matters a lot for visibility in AI search, and this is one more step in that direction.

taplio