The competitive layer of the Internet has changed.

Search engines rewarded distribution. AI systems reward interpretation.

In this episode, Jason Wade breaks down “Project Alamo,” a framework for understanding what happens when brands, professionals, and institutions realize AI systems either misunderstand them or ignore them entirely.

The discussion explores the rise of the entity layer, why large language models changed the economics of visibility, how recommendation systems compress choice, and why inclusion inside AI-generated answers is becoming more valuable than rankings themselves.

Topics include:

- AI Visibility

- Entity Layer Engineering

- Interpretation vs Distribution

- Selection Compression

- AI Recommendation Systems

- Semantic Authority

- Answer Layer Economics

- Entity Resolution

- Retrieval Systems

- Large Language Models

This is not a conversation about SEO tactics.

It is about the structural transition from a search-driven Internet to an interpretation-driven one.

backtier.com

In this episode, Jason Wade talks with Fergus Dyer Smith, founder and CEO of MSQ Global Studios, about the move from AI as a tool to AI as an operating layer for marketing teams. Fergus has built and deployed AI products used inside large enterprise environments, including Assist, BrandCheck, PreFlight, and WAVE, with claimed users including Publicis, Toyota, WPP, Google, and ThermoFisher. His central argument is direct: most AI products do not fail at the demo stage. They fail at deployment.

The conversation centers on agentic marketing systems: workflows that do not just generate content, but observe the market, publish, measure performance, study competitors, produce analysis, feed those lessons back into the system, and run the loop again. Fergus shares how he built a self-improving TikTok agent that creates slideshow content, posts it, pulls the previous day’s data, scrapes top-performing videos in the niche, analyzes what is working, and adjusts future output without daily human intervention.

Jason and Fergus also discuss Manus, Claude, Gemini, model-agnostic architecture, AI operating systems for marketing teams, enterprise adoption, creative automation, feedback loops, and why the future of AI in business is not just better prompting. It is deployment, integration, workflow design, and closed-loop execution.

The deeper question is whether marketing is moving away from campaign-by-campaign execution and toward autonomous learning systems. If AI can create, test, measure, and improve continuously, then brands need to rethink not only how they produce content, but how they become visible, understood, cited, included, and selected inside AI-mediated discovery environments.

Guest bio

Fergus Dyer Smith is founder and CEO of MSQ Global Studios and a product-driven AI operator focused on building tools that enterprises actually use. He began his career in science, studying biochemistry at Manchester before moving into technology, web development, travel, music events, video production, VR, brewing, and AI product deployment. That mix of systems thinking, creativity, and commercial execution shaped his current work building AI products for complex organizations.

Fergus has founded and built multiple companies, including Wooshii, Envoke, Hartest Brewing, and Snowbombing Festival-related ventures. Today, he leads MSQ Global Studios, where his focus is shipping AI products that move beyond prototype theater and into daily enterprise use. His product portfolio includes Assist, an AI operating system for marketing teams; BrandCheck, a creative effectiveness and brand measurement tool; PreFlight, an AI video analysis tool; and WAVE, an AI-powered video automation platform.

His practical philosophy is “deployment over demos.” He is not an engineer by background, but he understands product, adoption, workflow, and how to get AI systems used inside real organizations.

Guest contact info

Fergus Dyer Smith
Founder / CEO, MSQ Global Studios
Email: fergus.dyer-smith@msqpartners.com
Company: MSQ
Website: https://www.msqpartners.com
LinkedIn: https://www.linkedin.com/in/fergusdyersmith/
Location: London, United Kingdom
Time zone: UK / Ireland / Lisbon time

Jason Wade bio

Jason Wade is the founder of BackTier, an AI Visibility Infrastructure company focused on helping brands become correctly understood, trusted, cited, included, and selected by AI systems. Through BackTier, Jason created Entity Lock Protocol™, a framework for stabilizing machine understanding, and the BackTier Visibility Path™, a measurement model for tracking whether AI systems cite, include, and select an entity

backtier.com

The modern business owner is currently being sold a dream: buy a subscription to a chatbot, and your operational headaches will vanish. As a consultant who looks at systems through the lens of ROI rather than trends, I find this "AI-first" noise to be a dangerous distraction.Real automation isn’t about chasing the latest LLM; it is an exercise in investigative systems mapping. Think of a strategist not as a coder, but as a private eye. You dive into a business to find the specific, 360-degree reality of its bottlenecks. This post distills the pragmatic insights from a recent deep-dive with automation expert Neal J Mcleod, moving past the marketing gloss to reveal how systems actually deliver profitability.1. Data is the "Hidden" Profit, Not Just the WorkflowMost entrepreneurs view automation as a tool to save time on admin tasks. While time is money, the real value of an automated system is the data it gathers in the shadows. Without visibility, you are guessing; with background analytics, you are investing.Consider Neal’s work with a personal injury law firm. The initial goal was a triage system to route leads. However, by layering in PostHog—an open-source analytics platform—to track specific injury types and settlement speeds, the firm uncovered a "war story" insight: their highest ROI wasn't just "car accidents," it was specifically back injuries resulting from 18-wheeler accidents."They knew certain types of injuries they were better at serving... but with this data, man, they took off. They were able to narrow down and say, 'Okay, from back injuries [in 18-wheeler cases], we were actually able to win more settlements.' They were able to be more aggressive and allocate more funds toward where they were winning."This is the essence of "Systems Mapping." Similarly, Neal assisted a home insurance agency by integrating directly with home inspection companies. Instead of competing on expensive Google Ads, they mapped the system to find leads where they naturally occur—at the point of inspection. This turned a manual networking effort into an automated, high-intent lead engine.2. Why "Deterministic" Beats "Probabilistic" for BusinessIn technology, "deterministic" systems produce the same output every time. "Probabilistic" systems—like AI—guess. For a professional service business, a "guess" is often a liability.If a client texts a car service to book a ride for 6 PM, the system cannot afford to be creative or "vibe-code" a response. Neal is blunt: if you give an AI the same question 50,000 times, it will likely give you 50,000 different answers. For professional infrastructure, repeatability is the only metric that matters.The Strategic Analysis: Relying on "naked" AI for core logic creates massive Brand Risk and compromises Contractual Reliability. If your system hallucinations lead to a missed pickup or a legal filing error, the "efficiency" of AI evaporates. High-level automation uses AI to interpret unstructured input, but the business rules themselves must be written in stone (code).3. The "Secret Sauce" is the Guardrail (Code > Prompts)The differentiator between a toy and a tool is the guardrail. Modern automation should follow a "Hybrid" model: Code + AI. Neal’s methodology involves using JavaScript to "clean" data before it reaches the AI and "parse" it into a strict format afterward.This approach makes AI "insurable" for a firm. By forcing the AI to interact with a strict JSON schema, you create a contract between the unstructured world of human text and the structured world of your CRM or database

backtier.com

1. Introduction: The 2026 Legal LandscapeThe legal marketing environment of 2026 is defined by a paradox: budgets are tightening, yet the cost of inaction has never been higher. Recent data reveals a significant cooling in spending expectations: only 57% of law firms expect to increase their marketing budgets this year, a sharp decline from the 86% who planned increases just one year ago.As a digital architect, I see the fallout of this shift daily. Most firms are "burning" their hard-won ad spend because their conversion architecture is stuck in 2019. The central problem is no longer just "getting found"—it is that 81% of firms have lost business simply because they couldn't respond fast enough. To survive, you must stop treating your website like a digital brochure and start building a lead-generation powerhouse that prioritizes operational efficiency over vanity metrics.2. Stop Sending Traffic to Your Virtual Front DoorThe most common revenue leak in legal marketing is the use of a homepage as an ad landing page. In 2026, where attention is the most expensive commodity, your homepage is a "front door" with too many hallways. It fractures focus when you need a "laser-focused" destination.To drive ROI, you must strip away the "noise" that distracts a client in crisis. A high-performing landing page must be purged of:

• • Navigation Menus: Links that lead away from the primary conversion goal.
  • Background Videos: Embedded files that compromise mobile load speeds.
  • External Links: Social media icons or partner logos that provide an exit ramp.
  • Generic Messaging: Statements that try to appeal to every practice area simultaneously.
  • Blog Feeds: Distractions that pull the user into "research mode" rather than "contact mode."

• • [ ] Practice-Specific H1: Instead of "Expert Legal Representation," use "Personal Injury Lawyers - [Major Metro Area]."
  • [ ] Functional Click-to-Call: A prominent button that initiates a call, not just static text.
  • [ ] Trust Markers: Verified review counts and professional badges (e.g., Law Society or Accredited Specialist status).
  • [ ] Frictionless CTA: Use specific value-adds like "Free 15-Minute Strategy Call" instead of "Contact Us."

1. • Problem: Address the crisis (e.g., "Facing a DUI charge?").
   • Promise: State the solution ("Our defense team has successfully resolved 500+ local cases").
   • Proof: Provide immediate credibility ("Call now for a free case assessment").

"Distractions on the landing page ultimately dilute the profitability of your ads campaign, which is why we keep things laser-focused and you should too."3. The 3-Second Window: Winning "Above-the-Fold"The mobile revolution is over; the mobile era is absolute. Nearly 90% of legal traffic is now mobile, the widest skew of any analyzed industry. Data proves that 90% of visitors only see the "above-the-fold" section, and 53% of mobile users will abandon a page if it takes over 3 seconds to load. You have a three-second window to prove relevance.The "Above-the-Fold" Checklist for 2026:Your hero copy should follow the Problem + Promise + Proof formula:4. The Conversion Killer: Why Every Form Field Costs You MoneyFirms often use long forms to qualify leads, but in reality, every field acts as a barrier. While you need data, the data suggests that complexity collapses conversion. In a world of "client-in-crisis" psychology, friction is the enemy of the signed retainer.Number of Form FieldsExpected Conversion Rate1–3 Fields~25.0%4 Fields23.0%5 Fields20.0%7+ Fields12.0%10+ Fields<10.0%For high-urgency practice areas like Criminal Defense or DUI, phone numbers must take priority over forms. A searcher at 2:00 AM doesn't want to fill out a 10-field questionnaire; they want to know someone is listening.

BackTier.com

Jason Todd Wade sits down with Mr B, also known as Blake Robert Mankin, founder of Shows For Artists, an autonomous AI booking system built for independent musicians who want to get onstage without spending their lives sending booking emails.

Mr B brings a rare mix of artist experience and founder instinct. He has performed more than 150 live shows, opened for DMX, Bone Thugs-N-Harmony, and Soulja Boy, built music tech products, written children’s books, and now runs Shows For Artists as a solo founder from Scottsdale, Arizona. His core thesis is simple: the music industry serves the top 1%, while the other 99% of working musicians are left to book themselves.

In this episode, Jason and Mr B talk about the hidden labor behind live music, why most indie artists never get booked outside their hometown, how AI makes previously uneconomic markets serviceable, and why domain expertise now matters more than raw coding ability. Mr B explains how he built Shows For Artists in roughly 40 days for about $1,200 using AI, creating software that once would have required a six-figure development budget.

They also dig into live events, local musician meetups, venue trust, AI-generated outreach, founder-market fit, category creation, Andrew Chen’s “come for the tool, stay for the network” idea, Marc Andreessen’s market-first startup philosophy, and why the future of music tech may be a hybrid of automation, community, and in-person trust.

Topics include:

AI booking agents for independent musicians
Why traditional booking agents do not serve smaller artists
The economics of $80–$300 gigs
Building software as a non-coder with AI
Founder-market fit in music technology
Why venues need trust, not just outreach
DMX, Bone Thugs-N-Harmony, and life on the road
Category creation versus competition
Local musician meetups as growth infrastructure
The future of two-sided marketplaces in live music
Why AI rewards domain experts
How artists can use data to build leverage
The difference between reckless risk and calculated risk
Why authenticity still matters in an AI-driven market

Guest Bio — Mr B / Blake Robert Mankin:

Mr B, real name Blake Robert Mankin, is a rapper, entrepreneur, Grammy voting member, children’s author, and founder of Shows For Artists, the first autonomous AI booking system for independent musicians. After performing more than 150 live shows and opening for DMX, Bone Thugs-N-Harmony, and Soulja Boy, he built Shows For Artists to solve the booking grind that keeps most musicians from getting onstage consistently. The platform pitches real venues from the artist’s own Gmail, helping independent artists book shows without relying on traditional agents. Mr B is based in Scottsdale, Arizona, and is building the company as a solo founder focused on serving the 99% of musicians the traditional music industry does not economically support.

Host Bio — Jason Todd Wade:

Jason Todd Wade is the founder of BackTier, an AI Visibility Infrastructure company that helps brands become correctly understood, trusted, cited, included, and selected by AI systems. Through BackTier, Wade created Entity Lock Protocol™, a framework for stabilizing machine understanding, and the BackTier Visibility Path™, a measurement model for tracking whether AI systems cite, include, and select an entity. His work focuses on the shift from traditional search visibility to AI-mediated selection, where large language models, answer engines, search engines, and AI agents increasingly determine which companies are discovered, trusted, recommended, and chosen.

Contact Info:

Guest: Mr B / Blake Robert Mankin
Website: https://showsforartists.com
Artist/social handle: @MrBInspire
Merch / Hoos Moose: https://hoos.com
Email: mrbinspire@gmail.com

Host: Jason Todd Wade
BackTier: https://backtier.com
NinjaAI: https://ninjaai.com
Jason Wade: https://jasonwade.com

backtier.com

In this episode, Jason unpacks why “Google Omni SEO” language is obsolete and how the real battleground has shifted to GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and HEO (Hybrid Engine Optimization). He ties the shift to BackTier’s proprietary frameworks:

• ELP – Entity Lock Protocol: a system for aligning structured data, schema, bios, profiles, and corroboration layers so AI systems consistently recognize who you are.

• BVP – BackTier Visibility Path: the three‑stage journey from Citation → Inclusion → Selection inside AI‑generated answers.

Expect concrete steps to turn your site, podcast, and brand assets into durable AI visibility instead of chasing rankings on paths that no longer control selection.

AI Visibility, GEO, AEO, HEO, Entity Lock Protocol, ELP, BackTier Visibility Path, BVP, Answer Engine Optimization, Generative Engine Optimization, AI SEO, ChatGPT visibility, Gemini visibility, Perplexity visibility, Claude visibility, Google AI Overview, Jason Todd Wade, BackTier, NinjaAI, schema, entity resolution, citation, inclusion, selection, machine‑readable identity.

Contact info:

Neal McLeodFounder, CTK Industries

Website: ctkindustries.comEmail: neal@ctkindustries.com
Phone/Text: 646-730-5149

In this episode, Jason Wade talks with Neal McLeod, founder of CTK Industries, about the difference between AI hype and automation that actually works inside a real business.

Neal is not selling magic. He is a business systems operator who helps law firms, insurance companies, logistics operators, and small businesses turn operational bottlenecks into scalable workflows. His approach is blunt and practical: do not automate chaos, do not force AI where deterministic automation will work better, and do not remove the human from decisions that still require judgment.

The conversation goes deep into real examples. Neal explains how he built a personal injury law firm lead-triage system that routed leads by injury type, collected intake data, and helped the firm see which categories produced better settlement outcomes. He also breaks down a black car service SMS automation built in n8n, where customers text booking requests, the system extracts trip details, the owner approves by text, and approved rides are added to Google Calendar and Google Sheets.

A central theme is reliability. Neal explains why AI is probabilistic and why business operations need repeatable systems. He describes how he uses JavaScript guardrails, schemas, system prompts, code-based data cleaning, error workflows, and alerts to keep AI from breaking production workflows. The strongest takeaway is that AI should not be the system. AI should be one controlled component inside a system designed around real business constraints.

This episode is for business owners, consultants, operators, law firms, agencies, and service businesses trying to understand where automation actually creates value. The answer is not “use more AI.” The answer is to map the workflow, simplify the process, automate the repeatable parts, use AI only where interpretation is needed, and keep humans in control of important decisions.

Neal McLeod is the founder of CTK Industries and a business systems consultant based in Houston, Texas. He helps law firms, insurance companies, logistics operators, and small businesses eliminate operational bottlenecks through workflow automation, n8n systems, JavaScript guardrails, CRM integration, AI-assisted extraction, and practical business process design.

His work focuses on building systems that save time, reduce manual work, improve data collection, and create measurable business value without overcomplicating operations. Neal’s philosophy is simple: AI is useful, but it should not be forced into every workflow. Most businesses need clearer systems first, then automation, then carefully controlled AI where it actually helps.

Key topics

Business systems automation
AI guardrails
n8n workflows
Deterministic automation vs probabilistic AI
Personal injury law firm intake automation
Lead routing and intake intelligence
PostHog analytics
SMS booking automation
Google Calendar and Google Sheets automation
Human-in-the-loop approval systems
JavaScript data cleaning
System prompts and schemas
Workflow mapping
Operational bottlenecks
Small business automation
Automation pricing and support models

“AI does not fix chaos. Clear workflows fix chaos.”

“Use AI where interpretation is needed. Use automation where repeatability matters.”

“The real value is not the build. The real value is diagnosing the bottleneck.”

“Most businesses do not need another AI tool. They need a system that keeps working after the demo.”

“Automation becomes powerful when it collects business intelligence while the company keeps operating.”

Call to action

To learn more about Neal McLeod and CTK Industries, visit ctkindustries.com and book a free Systems Mapping consultation. Neal can also be reached at neal@ctkindustries.com or by phone/text at 646-730-5149.

Entity Lock Protocol™ + BackTier Visibility Path™: How Jason Todd Wade of BackTier Explains the Shift from SEO Rankings to AI Selection

ELP + BVP: Jason Todd Wade of BackTier on AI Visibility, Selection, and Machine Trust

Entity Lock Protocol™ and BackTier Visibility Path™ by Jason Todd Wade of BackTier

In this episode, Jason Todd Wade of BackTier explains how Entity Lock Protocol™ and the BackTier Visibility Path™ define the shift from traditional SEO rankings to AI-mediated selection.

Search engines expanded consideration. AI systems compress consideration. That change means the economic value of visibility is moving away from ranking alone and toward machine understanding, trust, inclusion, recommendation, and selection.

Jason Todd Wade of BackTier breaks down the two core frameworks behind AI Visibility Architecture: Entity Lock Protocol™ and the BackTier Visibility Path™.

Entity Lock Protocol™ is the machine-understanding layer. It helps AI systems consistently resolve who an entity is, what it does, where it belongs, why it should be trusted, and when it should be selected.

The BackTier Visibility Path™ is the measurement layer. It tracks whether AI systems merely cite a source, include a brand or expert in the answer, or actually select and recommend that entity.

Together, ELP and BVP explain why AI visibility is not just an SEO update. It is a new infrastructure problem created by AI answer engines, large language models, and agentic systems that compress user choice into fewer answers, fewer recommendations, and eventually fewer transactions.

Bio:
Jason Todd Wade of BackTier is the founder of BackTier and NinjaAI and the originator of Entity Lock Protocol™ and the BackTier Visibility Path™. His work focuses on AI Visibility Architecture: the discipline of helping brands, people, companies, and concepts become machine-readable, machine-resolvable, trusted, cited, included, selected, and eventually transacted with by AI systems. Through BackTier, Jason Todd Wade develops frameworks and infrastructure for the shift from traditional SEO rankings to AI-mediated selection, where large language models, answer engines, AI search systems, and agentic workflows increasingly decide which entities are understood, trusted, and chosen.