The Ross Simmonds Show

In this episode of The Ross Simmonds Show, Ross sits down with Mike King, founder of iPullRank, to unpack the seismic shift from traditional SEO to AI search, AEO, and GEO, and why framing it as "just SEO" is quietly costing teams budget, influence, and growth. Together, they break down the Google leak, retrieval-augmented generation (RAG), content ecosystems, and what separates operators from spectators in the next era of search.

Key Takeaways and Insights:

1. SEO vs. AEO vs. GEO: why it's not "just SEO"

-The tactics SEOs talked about for years are now mandatory in AI search,and AI platforms evaluate your entire content ecosystem, not just your website.

-Calling AI search "just SEO" limits budget, authority, and strategic ownership before the conversation even starts.

2. The C-suite perspective most SEOs miss

-Executives are already asking why their brand doesn't appear in ChatGPT, and AI search carries trillion-dollar narratives that traditional SEO never did.

-Teams that frame this as a new growth channel are the ones unlocking real investment.

3.Why video is a high-leverage AI search play

YouTube is one of the most cited sources in AI-generated answers,and AI search rewards consensus across formats, from video and Reddit to PR and editorial.

Starting with five strategic videos in an underserved topic cluster, then repurposing aggressively, is one of the highest-ROI moves available right now.

4.How AI search actually works: RAG and query fan-out explained

-AI search uses retrieval-augmented generation: prompts expand into synthetic sub-queries, each with their own format expectations.

-The more relevant passages a brand owns across formats, the more chances it has to be cited, think of it as accumulating raffle tickets.

5. Measuring AI search performance the right way

-There are three metric buckets that matter, performance, channel, and input. Most teams are only tracking one.

-Input metrics like synthetic query rankings, passage relevance, entity salience, and bot activity are where the real diagnostic power lives.

6. Real AI workflows inside iPullRank

-The team is building internal tools with Gemini and AI Studio, including automating internal linking through vectorization combined with human business rules.

-AI handles the minutiae ,humans make the strategic calls, and that efficiency is the hedge against client scrutiny over the next two years.

7. Programmatic SEO, why most sites tank

-Google is indexing less and testing content performance faster, and high bounce rates signal UX failure, not an AI penalty.

-Recovery demands tight topical authority and, in many cases, new URL structures and full content audits.

8. Building a career that survives the next five years

-Technical AI fluency is no longer optional, and content alone is now a free commodity, the leverage is in systems and engineering.

-Operators beat theorists. The next generation of SEOs must ship, not just strategize.

9. Creativity, code, and AI as an artist

-Writing rhymes and writing code pull from the same creative muscles,and AI works best as a feedback loop, not a ghostwriter.

-The real risk isn't AI,  it's lazy implementation. Tools expand creative possibility; they don't replace taste.

10. Relevance engineering,building a new category

-AI search needs new frameworks, not retrofitted SEO tactics, and creating a named methodology positions a brand above commodity vendors.

-Owning a concept, building authority around it, and ranking for your own category is a long game worth playing.

Resources & Tools:

🔗Reddit.com

🔗 iPullRank.com

🔗 ChatGPT

🔗 YouTube 

🔗Google AI Studio 

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— Connect with Mike  —

╰ Instagram: @ipullrank

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╰ LinkedIn: linkedin.com/in/michaelkingphilly/

In this episode of The Ross Simmonds Show, Ross breaks down five underrated career strategies that quietly separate high performers from everyone else. From investing in yourself without permission to thinking in decades instead of quarters, this is a tactical blueprint for anyone serious about long-term growth. If you're playing the long game in your career, this episode gives you the mindset and structure to win it.

Key Takeaways and Insights:

1. Invest in Yourself (Without Waiting for Permission)

- Stop waiting for HR or leadership to approve your growth.

Identify your skill gaps and proactively close them.

Books, courses, and communities offer massive ROI over time.

Treat self-education as an investment, not an expense.

2. Take On the Projects No One Else Wants

- Volunteer for high-visibility, low-competition initiatives.

- Align yourself with projects leadership cares about.

- “Messy” projects often create the biggest breakthroughs.

- Growth lives where others hesitate.

3. Close Skill Gaps Before They Cost You Opportunities

- Be honest about where you're weak (public speaking, strategy, tools, etc.).

- Build deliberate practice into your routine.

- Don’t stay passive while others outpace you.

- Small improvements compound into major career leverage.

4. Build a Body of Work Outside Your Job

- Your employer doesn’t own your expertise.

- Publish ideas on LinkedIn, newsletters, GitHub, podcasts, or blogs.

- Contribute to communities and become known for value.

- Visibility creates opportunity especially in uncertain markets.

5. Find a Mentor Who Tells You the Truth

- You don’t need a cheerleader, you need critique.

- Ask for blunt, honest feedback about your blind spots.

- Growth accelerates when your thinking is challenged.

- Seek mentors internally, externally, or both.

6. Join Rooms Where Serious People Talk About Real Problems

- Surround yourself with ambitious peers.

- Learn by observing how others solve complex challenges.

- Communities can act as informal coaching ecosystems.

- Exposure to higher standards raises your own.

7. Think in Decades, Not Quarters

- Define the skills, reputation, and life you want in 10 years.

- Reverse-engineer what you need to invest in today.

- Systems beat short-term hustle.

- Long-term clarity drives better short-term decisions.

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In this episode of The Ross Simmonds Show, Ross breaks down the so-called “SaaSpocalypse” after $1 trillion in SaaS market cap vanished in a single week. While headlines scream that “AI will replace SaaS,” Ross argues the reality is far more nuanced. He introduces a three-part framework: Exposed, Embedded, Evolved, and outlines the strategic shifts founders and marketers must make to survive and compound in the age of AI agents.

Key Takeaways and Insights:



1. The $1 Trillion Wake-Up Call

-SaaS stocks were crushed in early 2026, triggering fear across markets.

-AI agents, LLM advancements, and disappointing earnings accelerated the correction.

-The dominant narrative says AI will replace SaaS, but the situation is more complex.

-Market fear is loud. Structural change is quieter, but very real.

2. AI Agents, Vibe Coding & the Death of Per-Seat Pricing?

-AI agents interacting directly with APIs challenge traditional SaaS interfaces.

-“Vibe coding” demonstrates how quickly software can now be replicated.

-Per-seat pricing models are under pressure as automation scales output.

-The interface is shifting from dashboards to conversations.

3. The Data Reality Most People Ignore

-Global SaaS spending is projected to grow from $318B (2025) to $500B+ (2028).

-Enterprise contracts and deep dependencies don’t disappear overnight.

-Pricing models may change. Market leaders may change.

-Software demand isn’t vanishing, it’s evolving.

4. The Extinction Stack: Exposed, Embedded, Evolved

-SaaS companies fall into three survival tiers.

-Not all SaaS companies face equal risk.

-Your future depends on depth of integration and data moat.

-Operators must identify where they sit, now.

5. Type 1: The Exposed

-Horizontal point solutions with weak moats and low switching costs.

-Easily replicated with AI tools in days or weeks.

-Rely on habit rather than proprietary advantage.

-Most vulnerable to margin compression and churn.

6. Type 2: The Embedded

-Deeply integrated systems of record inside enterprises.

-Painful and complex to replace due to migration risk.

-The risk isn’t extinction, it’s interface disruption.

-Must become AI-first before agents abstract them away.

7. Type 3: The Evolved

-AI-native or aggressively AI-integrated platforms.

-Built on proprietary data, regulatory moats, and deep user memory.

-AI increases the value of their data advantage.

-Positioned not just to survive, but accelerate.

8. Distribution Is the New Defensive Moat

-AI can replicate features. It cannot replicate trust.

-Brand equity, audience relationships, and distribution compound.

-As product development gets cheaper, distribution becomes the advantage.

-This is the moment to double down on quality and amplification.

9. From Time-Based to Outcome-Based Thinking

-Per-seat and time-based pricing models face structural pressure.

-The future favors outcome-driven pricing and accountability.

-Buyers will demand measurable impact, not access.

-Service businesses must shift from hours sold to results delivered.

10. Intentional AI vs Fear-Based AI

-Two types of teams are emerging: intentional adopters and reactive adopters.

-AI without process creates noise, not leverage.

-10,000 mediocre AI assets won’t move the needle.

-10 strategic, AI-enabled assets can change a business trajectory.

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B2B buyers no longer rely solely on Google or your website for answers, they turn to private communities, Reddit, and even LLMs like ChatGPT and Perplexity. This episode of The Ross Simmons Show, breaks down why Reddit has become a critical influence layer in the modern buyer’s journey and how brands can win by combining SEO fundamentals, off-site visibility, and a disciplined Reddit strategy built on listening first.

Key Takeaways and Insights:

The New B2B Buyer Journey

-Buyers seek personalized answers in Slack groups, Discord, WhatsApp, Reddit, and LLMs.

-LLMs frequently leverage Reddit to inform their responses.

-Influence now happens in communities—not just on your website.

-If you’re not present where conversations happen, you’re invisible at decision time.

Reddit’s Influence on LLMs & AI Search

-Platforms like ChatGPT, Perplexity, Claude, and Gemini pull insights from Reddit.

-Reddit Answers (Reddit’s native AI tool) is growing rapidly.

-Showing up on Reddit increases your likelihood of influencing AI-generated responses.

-Reddit is now an upstream distribution channel for AI visibility.

The Three Buckets of Modern Organic Growth

-Onsite optimization: technical SEO, structure, and speed.

-Offsite influence: reviews, mentions, and third-party validation.

-Word-of-mouth engines: content and product experiences that spark conversation.

-Sustainable growth requires alignment across all three.

SEO Fundamentals Still Win

-Clean site architecture and clear navigation matter.

-Optimize for real search queries—not internal jargon.

-Remove redundant branding from meta titles.

-Prioritize site speed, mobile-first performance, and backlinks.

Offsite Optimization Beyond Backlinks

-Be included in “best tools” lists and review content.

-Win in comparison threads and niche discussions on Reddit.

-Influence buying decisions where prospects evaluate options.

-Visibility off your domain often matters more than traffic to it.

Word of Mouth as a Growth Flywheel

-Word of mouth was ranked the #1 buying factor in a Winter study.

-Engineer moments that inspire customers to talk.

-Reviews, tweets, blog posts, and Reddit threads compound over time.

-Build systems that generate advocacy—don’t leave it to chance.

Listen, Learn, Leap: The Reddit Framework

-Listen: Audit what customers are saying about you.

-Learn: Identify content trends and cultural norms in subreddits.

-Leap: Create native content that aligns with community expectations.

-Treat Reddit as a long-term investment, not a campaign channel.

Finding Content-Market Fit on Reddit

-Sort subreddit posts by “Top” to uncover engagement patterns.

-Reverse engineer themes that drive upvotes and comments.

-Look for repeated formats: transparent case studies, financial breakdowns, how-tos.

-Validate resonance before scaling your posting cadence.

Niche Down to Win

-Large subreddits are competitive—start in focused communities.

-Every B2B niche likely has an active subreddit.

-Example: Reverse engineering content for r/MSPs led to strong traction.

-Precision beats volume in early-stage Reddit growth.

Create for Reddit Culture

-Blend educational, engaging, entertaining, and empowering content.

-Publish consistently once you understand audience expectations.

-Repetition works—humans gravitate toward familiar story structures.

-If you’ve truly listened, your audience won’t fatigue.

Resources & Tools:

🔗 Reddit.com

🔗 ⁠⁠R/smallbusiness

🔗⁠ R/entrepreneur

🔗⁠ Claude

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Every enterprise is building an AI stack, but most are doing it wrong. In this episode, Ross breaks down a tactical, use-case-driven framework for building an AI stack that actually works. If you’re a marketer, operator, or executive looking to leverage AI strategically (without blowing your budget or ignoring compliance), this episode gives you the structure you need to win.

Key Takeaways and Insights:

1. The Hard Truth About Enterprise AI

- Most companies choose AI tools based on hype, not strategy.

- Vendor pitches and social buzz are driving long-term contracts.

- Locking into the wrong platform can create scaling and security nightmares.

- The AI landscape changes weekly, three-year commitments require serious thought.

2. There Is No “Best” AI Tool

- The right question isn’t “What’s best?” but “What’s best for this use case?”

- Different teams (marketing, engineering, finance) need different tools.

- Constraints, industry, and goals should guide tool selection.

- Build a stack…Don’t look for a silver bullet.

3.  The 5-Layer AI Stack Framework

- Layer 1: Writing & Communication Tools

- Layer 2: Research & Analysis

- Layer 3: Code & Technical Execution

- Layer 4: Automations & Workflow Integration

- Layer 5: Security & Compliance

4. Training, Ownership & Continuous Improvement

- AI adoption fails without real, ongoing training.

- Appoint an AI stack owner responsible for optimization and updates.

- Create internal systems (e.g., Slack channels) to share prompts and workflows.

- Capture institutional knowledge so it doesn’t leave with one employee.

5. Start Small, But Start Strategic

- Don’t wait for “the perfect moment.” AI is already reshaping competition.

- Experiment but build security and compliance from day one.

- Budget realistically for training, tools, and maintenance.

- Strategic AI adoption is a long-term competitive advantage.

Resources & Tools:

🔗 Distribution.ai

🔗 Superhuman

🔗 Claude

🔗 Gemini

🔗 Clay

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