The Ross Simmonds Show

In this episode of The Ross Simmonds Show, Ross drops new research across 8,566 high-priority B2B SaaS keywords that reveals how Reddit is quietly dominating bottom-of-funnel search, including the most expensive CPC terms in your Google Ads account. He breaks down what the data actually means for your pipeline and the exact playbook operators need to respond before the gap widens further.

Key Takeaways and Insights:

1. How Reddit Changed the SEO Game

-Google elevated user-generated content after seeing demand for people-first answers, and Reddit threads now outrank product and category pages across B2B SaaS.

-Traditional SEO playbooks built on volume and backlinks are losing ground. The shift is not theoretical. It is happening in your highest-value queries right now.

2. The Scoreboard: Reddit's Share of the Top 3

-Reddit commands 40 to 45 percent of top-three rankings across most B2B SaaS verticals. In three of four industries analyzed, Reddit consistently beat all competitors.

-Even established review sites are losing ground to subreddit threads. The brands still ignoring this are handing over pipeline.

3. Myth: Reddit Only Wins on Review Terms

-Reddit wins 94 percent of the time for "best software" queries, but 77 percent of Reddit's wins come from non-review, demand-gen keywords.

-Reddit is not just stealing review traffic. It is influencing pipeline at every stage of the buyer journey.

4. The CPC Paradox

-At $15 to $20 CPC, Reddit wins 45 percent of the time. At $50-plus CPC, that number hits 67 percent.

-You are paying $50 per click while a two-year-old Reddit thread captures the organic click above you.

5. Authority Alone Does Not Win Anymore

-High domain authority no longer guarantees rankings. Brands that win build long-tail infrastructure aligned to real customer queries.

-Long-tail blog content consistently outperforms thin category pages. The edge goes to operators who build depth, not just links.

6. Subreddits Are the Real Competitors

-It is not Reddit as a monolith. It is specific communities. The CRM subreddit showed a 49 percent win rate. r/EmailMarketing hit 68 percent. r/SmallBusiness drove nearly 141K monthly searches across tracked queries.

-One subreddit can dominate an entire B2B category. These are your real competitors.

7. Long-Tail Is Where Reddit Dominates

-For keywords with six or more words, Reddit's win rate hits 87 percent. Years of user questions created a library of hyper-specific content that is nearly impossible to replicate overnight.

-That long-tail depth fuels both Google rankings and LLM citations. If you are not building long-tail assets, you are invisible in AI search.

8. Reddit Now Shapes LLM Visibility

-B2B buyers use peers, communities, and LLMs to validate decisions, and LLMs are citing Reddit more than ever.

-If you are absent from key subreddits, you likely do not exist in AI-generated answers either. Reddit presence influences both the SERP and the model.

9. The Operator Playbook for Winning on Reddit

-Run a keyword gap analysis against reddit.com. Identify three to five subreddits consistently outranking you. Engage with value, not pitches. Earn credibility first.

-Invest in high-quality educational content and measure sentiment and LLM visibility as part of your growth system. This is how you build presence that compounds.

Resources & Tools:

🔗 Reddit

🔗 Google

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In this episode of The Ross Simmonds Show, Ross breaks down how he built a quarter-million-dollar solo consulting business before 30 and how he would engineer that same growth today as a fractional CMO in the AI era. From personal brand foundations to referral flywheels to public speaking as a client acquisition engine, this is a tactical, no-excuses blueprint for building authority and pipeline as a one-person growth operation.

Key Takeaways and Insights:

1.From Basement to $270K: The Origin Story

-Ross built a quarter-million-dollar solo business before 30 with no elite network and no big-city advantage. Just reps, value creation, and commitment to the long game.

-Underdogs win when they stop waiting for permission and start stacking consistent execution.

2.What a Fractional CMO Actually Does

-A fractional CMO provides strategic marketing leadership across brand, messaging, content, search, and growth without the full-time cost. Multiple companies. Real equity upside.

-It is one of the highest-leverage positions in the market right now for marketers who own outcomes, not just tasks.

3.Personal Brand Is the Foundation

-If someone Googles you today, what shows up? Buy your domain. Control your narrative. Publish content aligned to your niche and your ideal client profile.

-Your name is an asset. Treat it like one or someone else will define it for you.

4.Consistency Beats Excuses in the AI Era

-AI removes friction. It does not replace strategy. If you have no clients and you are not posting daily, that is the problem.

-Visibility is engineered through repurposing content across LinkedIn, X, Threads, YouTube, and podcasts. Not hoped for.

5.Build Leverage with Talent and AI

-Combine AI systems with high-level human talent. Use tools like Claude, ChatGPT, Fathom, and Superhuman to increase capacity without adding headcount.

-Hire globally. Skill beats geography. Layer systems and people and you get agency-level output from a solo operation.

6.Diversify Revenue Without Destroying Focus

-Courses, speaking, e-commerce, consulting — multiple income streams are real. But side quests can build skills or kill focus depending on how you sequence them.

-Depth compounds faster than scattered effort. Focus accelerates revenue growth.

7.Referral Flywheels as Passive Leverage

-Do great work, earn inbound referrals, and build a referral program that earns without direct delivery. Partner with agencies and specialists to expand capability without expanding overhead.

-Compounding trust beats cold outreach every time.

8.Public Speaking as a Client Acquisition Engine

-Speaking landed Ross publicly traded clients. Reps build confidence. Confidence builds pipeline. Add value on stage and the rest follows.

-Most people fear judgment. The reality: few remember you after two hours. Get on stage anyway.

9.Ignore Hype Cycles. Play the Long Game.

-"SEO is dead" is a recurring headline. It has been wrong every time. Trends rotate. Fundamentals compound.

-Decades of focused reps create unfair advantage. AI matters. Shiny objects do not.

10.Focus Is a Competitive Advantage

-Stop doom-scrolling. Start building. Do not argue with trolls. Create instead.

-Protect your mindset like you protect revenue. The long game rewards discipline above everything else.

Resources & Tools:
🔗 Claude

🔗 ChatGPT

🔗 Fathom

🔗 Superhuman

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In this episode of The Ross Simmonds Show, Ross makes the case that AI visibility isn't a new game — it's the result of a decade of distribution compounding in plain sight. He breaks down why CREAM is dead, why D.R.E.A.M. wins, and exactly which channels, from Reddit to YouTube to review sites, are shaping what Google AI Overviews, ChatGPT, and Perplexity actually cite.

Key Takeaways and Insights:

The 10-Year Head Start Most Brands Missed

AI visibility didn't start with ChatGPT. It started with consistent content distribution years before LLMs entered the conversation.

The brands winning in AI-powered search today built authority everywhere, early. Momentum favors those who showed up first and often.

CREAM Is Dead. DREAM Wins.

"Content Rules Everything Around Me" is outdated. Distribution Rules Everything Around Me is the new mandate.

Creation is easier than ever. Attention is not. Visibility in AI systems is engineered through amplification, not hope.

Google Is Still the Dominant AI Platform

The most-used AI discovery engine isn't ChatGPT or Perplexity. It's Google, and millions use it daily without realizing they're inside an AI-powered experience.

AI Overviews shape answers before users ever see the 10 blue links. The goal is to influence the answer, not just the ranking.

SEO Isn't Dead. It's a Distribution Channel.

SEO remains critical for bottom-of-funnel and transactional queries. Double E-E-A-T, Experience, Expertise, Authority, Trust, matters more than ever.

Most teams optimize pages. The best teams optimize ecosystems.

Reddit's B2B Takeover

Reddit now dominates high-CPC, long-tail, and commercial-intent SERPs and is generating millions of citations inside Google AI Overviews and LLM responses.

The strategy: organic participation through authentic, useful answers in the right subreddits, and paid capture of high-intent users already validating buying decisions.

YouTube as a Search Weapon

Google prioritizes YouTube in AI results because it's inside their ecosystem, and AI Overviews are increasingly embedding video responses.

If you'd write a blog post about it, you should consider filming it. Influencer collaborations can shift SERP narratives faster than most teams realize.

Review Sites and Third-Party Validation

G2, Capterra, TrustRadius, Yelp, and TripAdvisor are high-trust sources that LLMs actively pull from. Reviews and awards influence AI credibility signals directly.

Fill out every field. Encourage every review. Do the unsexy work, because LLMs do.

Offsite Mentions and Digital PR as AI Fuel

Inside LLMs, brand mentions matter, not just backlinks. Guest posts, podcasts, newsletters, and press build the narrative association that shapes AI understanding.

Repeated brand and category pairing across the web is how you train AI to associate you with your space. Marketing is distributed storytelling at scale.

The Modern Distribution Stack

SEO foundation. Reddit, organic and paid. YouTube strategy. Review site optimization. Offsite mentions and digital PR.

Your website is one node in the system, not the whole system.

Resources & Tools:

🔗 Reddit

🔗 YouTube

🔗 G2

🔗 Capterra

🔗 TrustRadius

🔗 TripAdvisor

🔗 ChatGPT

🔗 Perplexity

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In this episode of The Ross Simmonds Show, Ross sits down with
Britney Muller, AI educator and founder of Orange Labs, to unpack what marketers are getting wrong about large language models, why reverse engineering ChatGPT is a dead end, and how to build real leverage in a probabilistic world. From practical AI workflows to the ethical risks shaping the future of the industry, this is a first-principles breakdown of what actually matters next.

Key Takeaways and Insights:

1. AI is not search, it is a different machine entirely

- LLMs are probabilistic word prediction systems, not ranking engines. There are no ranking factors inside ChatGPT and no URLs in its training data.

- Most marketers are forcing AI into an outdated SEO mental model, and new technology requires a new framework.

2. Understanding RAG and how visibility actually works

- LLMs are often paired with real-time search to stay current, but the core model and the retrieval layer are two separate systems.

- Visibility in AI requires influence across both training data and search ecosystems, and SEO still matters even as the mechanics are shifting.

3. Brand mentions over backlinks

- LLMs magnify what appears most frequently in training data, which means contextual brand mentions are becoming leverage.

- One startup paid for brand mentions on commonly retrieved URLs rather than links and it worked. Distribution across relevant conversations increases the probability of surfacing.

4. Why you cannot reverse engineer LLMs

- There is no deterministic ranking system to hack. Outputs vary across identical prompts because of probabilistic modeling.

- Most AI tracking tools rely on synthetic prompts and crude metrics. Guarantees in GEO are dangerous and honesty builds trust.

5. Build your own AI tracking stack

- Internal tools are now cheaper and more powerful than off-the-shelf platforms. Running prompts multiple times per day allows teams to measure probability ranges.

- APIs allow thousands of queries at minimal cost. Control your data and do not outsource your intelligence.

6. Real AI workflows built by marketers

- Competitive engagement scraping combined with AI-personalized outreach is producing 80 percent response rates. HARO filtering systems can now auto-draft responses inside Slack in real time.

- The common thread across every workflow that works is the same: start with a clear problem, then layer in AI.

7. AI as personal leverage

- Brittany used ChatGPT to win a home bidding war with a personalized letter and reframed a payment dispute email as a lawyer, which resulted in payment within 30 minutes.

- AI is not just marketing leverage. It is life leverage. Literacy creates power.

8. Is SEO dead? Not quite.

- Google patents suggest AI-first interfaces may replace traditional SERPs, and organic traffic levels will likely not return to pre-AI highs.

- The pie may shrink but search will not disappear. Off-site distribution and social proof will matter more than ever.

9. The ethical risks of AI power

- A small group of decision-makers controls foundational AI systems, and the incentives in place favor hype cycles and growth over accountability.

- Reinforcement learning optimizes for pleasing users, not truth. AI literacy must include understanding bias and power structures.

10. The rise of AI agents

- Early agents were mostly hype, but new iterations like Claude Chrome integrations can now visually interpret and act inside browsers using screenshot-based reasoning.

-The future of marketing may involve AI transacting on behalf of users entirely, and execution changes workflows.

Resources & Tools:

🔗 Orange Labs
🔗 ChatGPT
🔗 Claude

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Stop scrolling through fantasies about moving to big cities... this episode will hit different. Matt Paulson joined me to break down how he created roughly $200 million in wealth through MarketBeat while based in Sioux Falls (population ~200k). We go in on the non-negotiable principles that drove his 20-year compounding success... why location independence + community roots beat the coastal grind... exactly how he'd start over in today's world... and the inspiring ways he's poured that success back into his local ecosystem. If you're building something meaningful and want real, grounded inspiration instead of hype, drop everything and listen to this one. Trust me... you don't want to miss it.

Key Takeaways and Insights:

1. Distribution Is the Real Moat

- Great content loses to average content with better distribution.

- Google algorithm updates forced MarketBeat to diversify early.

- Matt dominated the Google Finance tab when everyone else fought over blue links.

- Lesson: Find underpriced attention. Capture it. Convert it to owned channels.

2. Email as the Core Asset (Not Social)

- 200,000+ daily pageviews were converted into email subscribers via smart opt-ins.

- Daily emails for engaged users. Weekly for cooling segments.

- Reactivation campaigns target 30–270 day inactive subscribers.

- Engagement is measured by purchases, not just opens and clicks.

3. Scaling to $60M with a 19-Person Team

-$50M in revenue with 19 employees (40 including contractors).

-Media is leverage-heavy — subscriber growth doesn’t require proportional headcount.

-Belief: $100M revenue with ~30 people is realistic.

-Systems > staffing.

4. Paid Acquisition as the Growth Engine

- 80% of new leads now come from paid channels.

- $1.4M/month in ad spend with plans to test up to 10 new channels this year.

- Each channel has a profitability ceiling ,you find it by testing.

- Three-month lag to break even on new paid cohorts.

5. Backend Data > Cheap Leads

- Cheap leads are often unprofitable leads.

- Channel-level tracking determines which subscribers buy, not just open.

- SparkLoop drove engagement but not purchase intent. It was cut.

- Principle: Optimize for lifetime value, not cost per subscriber.

6. AI as Leverage, Not Strategy

- Three content types: human-written, templated automation, pure generative AI.

- AI summarizes earnings transcripts into publishable articles.

- “Molti” (Claude workflows) writes daily tweets, manages calendar buffers, flags performance anomalies.

- AI augments operators. It doesn’t replace judgment.

7. Why YouTube Is the Next Growth Bet

- 620K subscribers in ~3 years.

- Built around a professional host and expert interviews.

- Investing in a full studio buildout to scale production quality.

- Organic is stable. Paid drives scale. Video builds future-proof attention.

8. Building a $50M Company from South Dakota

- Sioux Falls. Population ~250K metro.

- No VC distractions. No “next hot thing” syndrome.

- Fewer peers. Fewer temptations. More focus.

- Bootstrapped. 100% ownership retained.

9. Venture Investing Lessons (What Fails)

- Every idea-stage investment with zero revenue failed.

- Now requires ~$20–25K MRR before investing.

- Avoids biotech/FDA-heavy businesses due to capital intensity.

- Watches burn rate closely: $500K/month burn kills startups fast.

10. Success Redefined: Enjoyable Days in a Row

- No desire to sell MarketBeat.

- Cash flow over exit multiples.

- Defines success by how many enjoyable days he stacks consecutively.

- Business as leverage for impact: philanthropy, community, and ownership.

Resources & Tools:

🔗 MarketBeat.com
🔗 Distribution.ai
🔗 SparkLoop

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╰ Twitter / X: @MediaKing
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╰ LinkedIn: linkedin.com/in/matthewpaulson