The Ross Simmonds Show

In this episode of The Ross Simmonds Show, Ross shares why curiosity, execution, and continuous learning are becoming more valuable than traditional credentials in marketing, tech, and business. He breaks down how hiring managers, marketers, content creators, and business leaders can identify curious talent, build stronger teams, and stay relevant as AI, search, content distribution, and audience behavior continue to evolve.

Key Takeaways and Insights:

1. Curiosity as a Career Advantage

- Ross shares how growing up outside major tech hubs pushed him to use the internet as his mentor.

- Curiosity helped him build a self-directed education across SEO, social media, content, SaaS, Reddit, LinkedIn, Quora, and startups.

- The lesson: your location, background, or lack of connections does not limit your ability to learn and grow.

2. The Hiring Trap: Stacked Resume, Weak Execution

- Ross warns leaders not to confuse impressive logos and credentials with real-world capability.

- Some candidates know how to follow a playbook but struggle when asked to create or adapt one.

- Hiring should focus on how people think, learn, ask questions, and solve problems—not just what appears on paper.

3. How to Identify Curious Marketers

- Ask candidates what they are reading, what they are learning, and how they stay sharp in their craft.

- Look for people actively tinkering with new tools, especially in the age of AI.

- Curious marketers bring questions, data, and insights into conversations instead of relying on old playbooks.

4. Insight-Driven Marketing Decisions

- Great marketers do not recommend SEO, CMS changes, or content strategies simply because they prefer them.

- They gather data, ask about pipeline goals, conversion rates, customer lifetime value, and channel performance.

- Curiosity turns marketing from guesswork into a structured, strategic process.

5. Where Curious People Spend Their Time

- Curious professionals go where learning is happening: communities, subreddits, Discord servers, Slack groups, LinkedIn threads, and comment sections.

- They engage in discussions, debate ideas, and test what they learn.

- They do not just consume marketing tips—they apply them.

6. The Signals of a High-Curiosity Team Member

- They research before making recommendations.

- They reverse engineer why something worked instead of blindly repeating tactics.

- They invest in courses, tools, and resources because they want to become better, not just get promoted.

- They challenge leaders with data-backed thinking and fresh perspectives.

7. Why Curiosity Matters in the AI Era

- AI is reshaping search, content distribution, GEO, AEO, and how buyers discover brands.

- Channels that worked three years ago may not be enough today.

- Marketers who stay curious will adapt faster as LLMs, Reddit, YouTube, short-form video, and emerging platforms shift the landscape.

8. Building a Learning Advantage

- One to two extra hours of intentional learning per week can put you ahead of people doing none.

- Those who invest more deeply in their skills create a larger competitive gap.

- Continuous learning builds the taste, strategy, distribution skill, and human understanding needed to stay valuable.

9. Hiring for Curiosity and Growth

- Leaders should ask candidates about newsletters, podcasts, tools, personal projects, and ideas they cannot stop thinking about.

- Experience with tools like Claude, Perplexity, and ChatGPT can signal active experimentation.

- Building a culture of curiosity helps teams stay adaptive, strategic, and ready for what comes next.

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In this episode of The Ross Simmonds Show, Ross sits down with Talia Wolf, founder of GetUplift and author of Emotional Targeting, to unpack why customer emotion is now central to CRO, SEO, content marketing, and brand trust. They explore how marketers can move beyond surface-level analytics, use AI responsibly, uncover real customer motivations, and build messaging that converts by resonating with the right audience everywhere they show up online.

Key Takeaways and Insights:

1. Why CRO Starts with the “Why,” Not Just the “Where”

- Talia explains why tools like GA4 and Mixpanel can show where conversion problems happen, but not why people fail to convert.

- The key to better leads and sales is understanding what information is missing, what feels risky, and what stops customers from taking action.

- Strong conversion strategy starts with customer research, not random funnel tweaks or generic best practices.

2. Using AI Without Losing the Customer

- AI can support gap analysis, data synthesis, and ideation, but it should not replace direct customer research.

- Talia recommends gathering real inputs from surveys, interviews, Reddit threads, Facebook groups, sales calls, and chat transcripts before using AI.

- Once you have authentic customer language, AI can become a strategic thinking partner rather than a shortcut to generic copy.

3. Emotional Targeting in B2B Marketing

- Talia argues that B2B buying is often more emotional than B2C because professional decisions carry career, reputation, and budget risks.

- Two major emotional clusters drive B2B decisions: social image and self-image.

- Marketers should connect features to emotional value, such as helping buyers feel confident, trusted, respected, or prepared to impress leadership.

4. Trust, SEO, and CRO Are Converging

- Ross and Talia discuss why SEO and CRO can no longer operate in silos.

- Modern buyers research brands across Reddit, LinkedIn, YouTube, communities, AI tools, and search results before converting.

- The new opportunity is to optimize everywhere by creating consistent, emotionally resonant messaging across owned and non-owned channels.

5. Better Messaging Comes from Better Listening

- Talia shares how her team identifies misunderstandings, objections, and friction points through customer conversations and community research.

- Real-world examples show how addressing skepticism directly can outperform polished but vague marketing claims.

- The best marketers resist the pressure to produce more and instead invest in customer insight, sharper positioning, and continuous testing.

Resources & Tools:

🔗 GetUpLift

🔗 Taliawolf.com

🔗 Heart Before Cart

🔗 Emotional Targeting Tools

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— Connect with Talia Wolf—

╰ Instagram: @taliagw

╰ LinkedIn: linkedin.com/in/taliagw/

In this episode of The Ross Simmonds Show, Ross sits down with Talia Wolf, founder of GetUplift and author of Emotional Targeting, to unpack why customer emotion is now central to CRO, SEO, content marketing, and brand trust. They explore how marketers can move beyond surface-level analytics, use AI responsibly, uncover real customer motivations, and build messaging that converts by resonating with the right audience everywhere they show up online.

Key Takeaways and Insights:

1. Why CRO Starts with the “Why,” Not Just the “Where”

- Talia explains why tools like GA4 and Mixpanel can show where conversion problems happen, but not why people fail to convert.

- The key to better leads and sales is understanding what information is missing, what feels risky, and what stops customers from taking action.

- Strong conversion strategy starts with customer research, not random funnel tweaks or generic best practices.

2. Using AI Without Losing the Customer

- AI can support gap analysis, data synthesis, and ideation, but it should not replace direct customer research.

- Talia recommends gathering real inputs from surveys, interviews, Reddit threads, Facebook groups, sales calls, and chat transcripts before using AI.

- Once you have authentic customer language, AI can become a strategic thinking partner rather than a shortcut to generic copy.

3. Emotional Targeting in B2B Marketing

- Talia argues that B2B buying is often more emotional than B2C because professional decisions carry career, reputation, and budget risks.

- Two major emotional clusters drive B2B decisions: social image and self-image.

- Marketers should connect features to emotional value, such as helping buyers feel confident, trusted, respected, or prepared to impress leadership.

4. Trust, SEO, and CRO Are Converging

- Ross and Talia discuss why SEO and CRO can no longer operate in silos.

- Modern buyers research brands across Reddit, LinkedIn, YouTube, communities, AI tools, and search results before converting.

- The new opportunity is to optimize everywhere by creating consistent, emotionally resonant messaging across owned and non-owned channels.

5. Better Messaging Comes from Better Listening

- Talia shares how her team identifies misunderstandings, objections, and friction points through customer conversations and community research.

- Real-world examples show how addressing skepticism directly can outperform polished but vague marketing claims.

- The best marketers resist the pressure to produce more and instead invest in customer insight, sharper positioning, and continuous testing.

Resources & Tools:

🔗 ⁠GetUpLift ⁠

🔗 ⁠Taliawolf.com⁠

🔗 ⁠Heart Before Cart⁠

🔗 ⁠Emotional Targeting Tools⁠

— 👋🏾 Let's stay connected —

╰ Subscribe to my channel: ⁠ @RossSimmondsTV⁠

╰ Instagram: ⁠@thecoolestcool ⁠

╰ Twitter / X: ⁠@thecoolestcool ⁠

╰ LinkedIn: ⁠linkedin.com/in/rosssimmonds⁠

— Connect with Talia Wolf—

╰ Instagram: ⁠@taliagw⁠

╰ LinkedIn: ⁠linkedin.com/in/taliagw/⁠

In this episode of The Ross Simmonds Show, Ross sits down with Nick Lafferty, Founding Marketing Engineer at Profound, to unpack the fast-moving world of AI visibility, AEO, GEO, and AI search. They explore how brands can earn citations across ChatGPT, Claude, Perplexity, Grok, and Google AI, why visibility is no longer just an SEO problem, and how marketers can build systems that help their teams move faster.

Key Takeaways and Insights:

1. Building Marketing Taste Before Automating with AI

- Nick explains why AI does not have taste on its own and why marketers need judgment, experience, and creative instincts before automating workflows.

- Great marketing taste comes from studying campaigns, consuming strong creative work, testing in public, and learning from feedback.

- Creating content consistently, whether through LinkedIn posts, newsletters, blogs, or videos, helps marketers sharpen their voice and understand what resonates.

2. The Rise of the Marketing Engineer

- A marketing engineer is part builder, part artist: someone who understands marketing strategy and can build AI-powered systems to solve business problems.

- Nick shares how he automated manual unsubscribe syncing across multiple email tools at Profound, saving time for the marketing operations team.

- The strongest marketing engineers are AI-native, deeply curious, and focused on redesigning workflows with AI at the center instead of simply automating outdated processes.

3. AI Visibility, AEO, GEO, and the New Search Landscape

- Nick challenges the idea that AI visibility is only a content or website problem, noting that most AI citations come from third-party sources.

- Profound research shows only about 5–10% of citations come from a brand’s own domain, while the majority come from places like Reddit, YouTube, review sites, press releases, documentation, and partner ecosystems.

- Enterprise brands need cross-functional alignment across SEO, PR, social, product marketing, affiliates, and content to compete in AI search.

4. Making the Case for AI Visibility Internally

- Nick recommends marketers look for declining organic traffic, rising impressions with fewer clicks, inaccurate AI answers, and poor competitive comparisons as signs of an AI visibility problem.

- The Profound team uses the concept “make the invisible visible” to surface hidden risks and opportunities.

- Marketers should bring screenshots, prompt examples, traffic trends, and suggested solutions to leadership to win buy-in.

5. Measuring AI Visibility and Proving ROI

- Nick advocates for using a required “How did you hear about us?” field to capture self-reported attribution from sources like ChatGPT, Claude, Gemini, and Perplexity.

- Profound tracks AI bot traffic, server logs, citation trends, competitive benchmarks, and visibility changes over time.

-  The conversation highlights why measurement needs to evolve as buyers increasingly discover brands through AI-generated answers.

6. Personas, Memory, and Personalized AI Search Results

- Profound’s personas feature helps brands understand how different buyer types may see different AI answers.

- Teams can analyze visibility across personas such as SEO managers, CMOs, affiliate managers, PR leaders, and demand generation teams.

- Personas help marketers approximate how memory and personalization may shape AI search results for different audiences.

7. Reddit, Listicles, and Off-Site Citation Strategy

- Nick explains why Reddit requires a contribution-first mindset and compares it to joining a dinner party where listening matters before speaking.

- Listicles may still work in some industries, especially affiliate-heavy categories, but many marketers are over-investing in them as a short-term tactic.

- The bigger opportunity is building adaptable systems that can respond to changing citation patterns across AI search platforms.

Resources & Tools:

🔗 Profound

🔗 Every

🔗 HubSpot

🔗 Customer.io

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In this episode of The Ross Simmonds Show, Ross sits down with Matt Symes, founder of Symplicity, to unpack why AI transformation fails when companies focus on tools, data, or privacy before fixing broken workflows. Matt shares a practical, workflow-first approach to using AI for sales, marketing, leadership, and business growth while helping founders avoid scaling chaos faster.

Key Takeaways and Insights:

1. Why AI Won’t Fix a Broken Business

- Matt explains why the “data problem” is often a stall tactic, not the real blocker to AI ROI.

- Companies need to start with outcomes and workflows before buying AI tools or hiring AI leaders.

- AI scales what already exists so broken systems become faster, messier, and more expensive if left unaddressed.

2. Workflow-First AI Transformation

- The best first AI use case is a repetitive, time-consuming workflow that matters but does not create much strategic value.

- Matt shares how an AI-powered dossier workflow replaced 10–15 hours of weekly admin work with an automated research process.

- Leaders should identify the biggest business constraint—sales, marketing, delivery, or operations and use AI to improve that specific workflow.

3. Using AI to Improve Sales Conversion

- Ross and Matt break down how AI can reduce sales cycle time and touchpoints.

- Matt shares a real-world example of using open source intelligence and ChatGPT to prepare for a sales conversation, identify likely business problems, and close a deal in three touches.

- The key lesson: AI can improve trust, relevance, and conversion when integrated directly into the sales process.

4. Strategy Before Speed

- Matt emphasizes that every business must clearly define the problem it solves, who it solves it for, and the value of solving it.

- The V8 example shows why businesses can lose growth opportunities when they define themselves by product category instead of customer problem.

- Before making anything faster with AI, leaders must clarify their value proposition and target customer.

5. Why CEOs Should Lead AI Adoption

- Matt argues that hiring a “Head of AI” too early can be a mistake if the CEO is not actively leading the mindset and workflow transformation.

- AI should be treated as a teammate in value creation, not just another technology tool.

- Leaders should delegate workflow ownership while staying accountable for the overall AI transformation strategy.

6. Agentic AI Use Cases for Leaders

- Matt shares how he uses AI agents to monitor trusted sources, scan newsletters, and update keynote decks with timely research.

- He explains how AI can support CEO responsibilities like business performance tracking, leadership coaching, 360 reviews, and scenario planning.

- The conversation highlights why leaders should use AI to practice, prepare, and make better decisions, not just automate tasks.

7. Escaping the Founder’s Trap

- Matt defines the founder’s trap as building a business that cannot operate without the founder playing a critical role.

- He explains how founders can design businesses around their best life instead of becoming trapped by their own company.

- Symplicity and Levership help companies build strategic cadence, improve workflows, and scale with more structure.

Resources & Tools:

🔗 Symplicity

🔗Perplexity Computer 

🔗 NotebookLM

🔗 OpenClaw 

🔗 Claude Code 

🔗 Claude Cowork

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— Connect with Matt  —

╰ LinkedIn: linkedin.com/in/matt-symes-8328a765/