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

Reddit is rewriting the rules of SEO. 

It's one of the top domains cited by large language models, which  means AI systems like (ChatGPT, Google’s AI Overviews etc) are learning from Reddit before they read your website or review profile.

Every conversation, comment, and comparison on Reddit feeds directly into the answers buyers see when researching your category.

Your SEO, brand reputation, and pipeline are being shaped by how people talk about you in open communities.

Which is why marketers can’t ignore Reddit anymore.

Buyers are skipping G2 and Capterra for real experiences in Reddit threads.

It’s where trust is built, and where visibility is earned.

Ross Simmonds breaks it down with his Lurk → Listen → Leap framework:
1. Lurk to understand the community.
2. Listen to extract buyer language and sentiment.
3. Leap to contribute with expertise, not promotion.

HubSpot already does this well, running AMAs, responding directly to criticism, and turning Reddit from a risk into a relationship channel.

Reddit is literally training the answers that customers see first.

While it's impossible to control what people say on Reddit, you can guide the conversation...

Secure your subreddit, track mentions, and contribute with real value.

Because every Reddit thread about your brand is training tomorrow’s AI answers.

And the brands that act now will own the narrative before everyone else.

Link to the full post in AirOps blog in the comments 👇

🌷 Gen Furukawa

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

I still remember when Eoin Clancy stopped me mid-sentence while we were reviewing a draft I was writing for AirOps.

I was focused on polishing the content, seemed ready to publish. But he was focused on something completely different.

“Gen, this needs a stronger perspective and angle. Where’s the authority?”

That question underscores the AirOps approach to AI and content: 

That AI should help scale quality, and not simply quantity. 

Authority holds greater value, beyond just the noise that AI creates. 

This was six months ago, and now AI slop is more prevalent. 

Which is great timing for the AirOps relaunch today, where it is positioned as the platform to create content that LLMs cite. Content that audiences trust. Content that actually drives revenue.

AirOps now shows you where ChatGPT, Perplexity, and Google cite your brand, where competitors beat you, and exactly what to fix to earn authority.

It’s the future of AI-powered content, and honestly, the future of how every marketing team will operate.

The AirOps content has been the best reference thus far for how to get LLM visbility, amazing launch today to make that platform and data accessible to all marketing teams.

Getting cited by LLMs requires a small but important shift in how you create content.

The goal is to build for both LLM visibility and organic traffic at the same time.

Tom Winter is deep in the weeds of AEO as Chief Growth Officer and Co-Founder of AI content tool SEOwind shared a practical framework for building authority in your niche...the kind that both Google and AI models recognize.

1️⃣  Start with one niche

Be ten times better than anyone else in your category. 

Create the most complete, accurate, and useful content in that space. 

Treat your site as the Wikipedia of your industry.

Once you own that pond, expand slowly into related topics and services that reinforce your core expertise.

2️⃣  Build around entities, not random keywords

Research what your business truly represents: the topics, entities, and terms that define your category. 

Use those to shape your content calendar. 

Every new piece should strengthen your authority across that ecosystem.

3️⃣  Structure for LLM comprehension

LLMs don’t read like humans. 

They break content into chunks and store it in a vector database. 

When someone asks a question, they look for the chunk closest to that query.

If your content is well-structured, clear, and focused, it becomes the answer.

To make that happen:
- Write each section around one clear idea.
- Use precise, descriptive headings.
- Organize data in tables or lists.
- Include short FAQs that answer common questions directly.

4️⃣  Maintain strong technical SEO

AI crawlers lag behind Google’s sophistication. 

Clean structure, logical hierarchy, and internal links make it easier for them to parse and trust your content.

Authority today comes from clarity, structure, and focus, which is the foundation for ranking in search and being cited by AI.

Tom shares so many nuggets of actionable ideas for increasing LLM visibility, link in the comments:

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 😂

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.

AI now writes more articles than humans.

Graphite analyzed 65,000 web pages and found that after ChatGPT launched, AI content exploded, then stopped growing.

For a year, it looked like AI would take over the internet.

Then the results came in: most of that content isn’t ranking, isn’t being cited, and isn’t getting read.

Because the web doesn’t reward volume anymore.

It rewards insight.

AI can make words, but it can’t make meaning unless you feed it something worth saying.

That’s the shift we’re in now.

If your AI workflow starts with “Write a blog about [topic],” you’re already behind.

Here’s the smarter play:

1. Use AI to mine the web for real buyer questions, pain points, and data gaps.

2. Map those into content opportunities that teach, prove, or show—not just tell.

3. Draft with AI for structure, then rewrite like an expert: add data, anecdotes, outcomes, names, context.

4. Optimize every post for Answer Engine Optimization so it can actually be found and cited by LLMs.

5. Audit your old AI content for depth, voice, and originality....if it could have been written by anyone, it’s dead weight.

And start building a brand dataset: your voice, your stories, your unique proof points.

AI will keep writing, but authority is earned through experience, not prompts.

#killtheslop

Dr. Dre's advice to Eazy-E, also applies to marketers today  😎 

"Say it like you believe it, like it’s your words, feel it. Loosen the f up!"
 
This is the exact advice your content team needs right now.

AI search won't cite the safest take.

If it can be found elsewhere, by someone else, it's not getting surfaced. 

Only the stuff that you can say, with the unique perspectives, realy voice and ideas/data, will get surfaced. 

What's the one thing your team knows that nobody else is saying out loud?

That's your content strategy.

(btw, this scene is when Eazy-E taps into his own voice, experiences, and records his hit Boyz n the hood)

Google just promoted its new AI tool, Opal, saying creators can now "create custom content in a consistent and scalable way".

This is ideal, the goal of any content marketer/content engineer, if you can maintain an authentic voice and style, with the scale of AI. 

Unfortunately though, this is may just accelerate AI slop on the internet. 

And ironically, this offer directly conflicts with Google’s own policy. 

Their scaled content abuse rule prohibits, "Using generative AI tools or other similar tools to generate many pages without adding value for users."

So Opal could lower the barrier to content creation even more, and incentivize quantity over quality, where everyone can create a hundred “optimized” posts in minutes, the bar for differentiation drops to zero.

We're going to see more empty calories of AI content as a result. 

But this also is an opportunity for those that use AI effectively in their content creation.

For example,  using AI to: 
- Extract insights from real data.
- Structure those insights into modular stories, whether text, video, social.
- Create content systems that teach, prove, and demonstrate expertise

The difference is using AI to extend your own thinking, capabilities and creativity. and now simply AI to churn out blog posts.

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.

One of the biggest unlocks to getting better AI content is defining what “good” looks like.

With concrete examples.

Just as we learn by modeling, AI does too.

Before automating any workflow or generating content with AI, I find at least three best-in-class samples. 

This is the fastest way to establish a quality bar the model can hit consistently.

This helps with more accurate, consistent, and controllable output, because you are giving the model real patterns to follow instead of guessing your intent.

For example, if you’re generating a blog post:
- Pick two articles that match the tone, depth, and structure you want.
- Highlight section flow, formatting, sentence length, and transitions.
- Tell the model: “Match the structure and tone of Example A and Example B.”

"Show don't tell" of course applies to good writing, and we can get meta, and it applies to LLM prompting as well...

You get good AI output by showing what “good” looks like and letting the model pattern-match, NOT telling it to "write a detailed blog post" 🙂 . 

This upfront research compounds, so you can have a growing pool of "good" examples that you can reference on an ongoing basis.

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