Author: Jack Wendt

Why Trust This Guide

This guide comes from hands-on experience — not theory. Dennis Yu is a former Yahoo analytics lead who has managed over $1 billion in ad spend across clients like Nike, Red Bull, and the Golden State Warriors. He’s spoken at more than 750 conferences in 20 countries and is one of the most cited voices in digital marketing. Jack Wendt, Army National Guard member and co-founder of High Rise Influence, trained under Caleb Guilliams at BetterWealth before partnering with Dennis to build AI-driven marketing systems for personal brands and local businesses.

Together, we’ve built and secured Google Knowledge Panels for entrepreneurs, executives, and service businesses — and we’re going to show you exactly how it works.

What Is a Google Knowledge Panel?

A Google Knowledge Panel is the information box that appears on the right side of Google search results when you search for a well-known person, brand, or organization. It pulls data from Google’s Knowledge Graph — a massive database of entities and the relationships between them.

Knowledge Panels display key facts: your name, photo, occupation, social profiles, notable works, and related entities. They signal to anyone searching your name that Google recognizes you as a verified, authoritative entity.

Why a Knowledge Panel Matters

A Knowledge Panel does three things that no amount of SEO or paid ads can replicate:

1. Instant credibility. When someone Googles your name and sees a Knowledge Panel, they immediately perceive you as a legitimate authority — before they ever visit your website.
2. You control the narrative. Without a panel, Google decides what shows up for your name. With one, you anchor the search results with verified, structured information.
3. Compound authority. A Knowledge Panel strengthens every other piece of your online presence. Your guest articles, podcast appearances, and social profiles all gain weight when connected to a recognized entity.

What Google Uses to Create a Knowledge Panel

Google doesn’t create Knowledge Panels from your website alone. It looks for consistent, corroborated information across multiple independent sources. Specifically, Google evaluates:

• Structured data (schema markup) on your personal brand website
• Wikidata entries — the structured data backbone behind Wikipedia
• Authoritative third-party mentions — press features, conference bios, university profiles, published interviews
• Consistent social profiles — LinkedIn, Twitter/X, YouTube, Facebook, all saying the same thing
• Wikipedia articles (helpful but not required)

The key principle: Google needs to see the same facts about you repeated across independent, trustworthy sources. This is called entity corroboration.

6 Steps to Earn a Google Knowledge Panel

Step 1: Run an Entity Audit

Before you build anything, audit what Google already knows about you. Search your full name in quotes. Look at what appears: are the results consistent? Do they describe the same person with the same role, location, and credentials? Note any conflicting information, outdated bios, or missing profiles. This audit tells you exactly where the gaps are.

Step 2: Build a Personal Brand Website with Schema Markup

Your personal website is your entity’s home base. It should clearly state who you are, what you do, and how you’re connected to other known entities (companies, organizations, publications). Add structured data (JSON-LD schema) that defines you as a Person entity with properties like name, jobTitle, worksFor, sameAs (linking to your social profiles), and alumniOf. This gives Google machine-readable confirmation of your identity.

Step 3: Create a Wikidata Entry

Wikidata is the structured data layer behind Wikipedia, and Google pulls from it directly. Create a Wikidata item for yourself with accurate properties: instance of “human,” occupation, employer, social media links, and notable works. You don’t need a Wikipedia article — Wikidata alone feeds into the Knowledge Graph. Make sure every claim is sourced with a reference URL.

Step 4: Earn High-Authority Features and Mentions

Google needs to see you mentioned on sites it already trusts. This means guest articles on industry publications, podcast interviews with show notes that link to you, conference speaker bios on university or event websites, and press coverage. Each mention should use your full name consistently and reference the same facts — your role, your company, your expertise. Quality matters far more than quantity.

Step 5: Verify and Align Social Profiles

Claim and verify your profiles on LinkedIn, Twitter/X, YouTube, Facebook, Instagram, and any industry-specific platforms. Every profile should use the same name, headshot, bio, and link back to your personal website. Use the sameAs property in your schema markup to explicitly connect these profiles to your entity. Google cross-references these signals to confirm you are who you say you are.

Step 6: Be Patient — This Takes Time

Knowledge Panels don’t appear overnight. Even with everything in place, Google needs time to crawl, index, and corroborate your entity data across sources. For most people, this process takes anywhere from a few weeks to several months. In some cases, it can take up to 18 months for Google to fully recognize and display your panel.

Real Example: How Dennis Yu Got His Knowledge Panel

Here’s something most people don’t know: Dennis Yu didn’t have a clean Knowledge Panel for years — despite being a former Yahoo executive, managing over a billion dollars in ad spend, and speaking at hundreds of conferences worldwide. His search results were scattered. There was no single, authoritative panel anchoring his name.

That changed when we built his entity footprint systematically. We created a proper Wikidata entry with sourced claims. We added schema markup to his personal site that explicitly defined him as a Person entity connected to his companies, speaking engagements, and published work. We built structured citations across high-authority third-party sites — conference bios, university pages, press features — all corroborating the same facts.

His Knowledge Panel appeared. And now it anchors his entire search presence — every article, every video, every mention connects back to a verified entity that Google recognizes and trusts.

Get a Knowledge Panel Without Doing It Yourself

If you want a Knowledge Panel but don’t want to spend months navigating Wikidata, schema markup, and citation building on your own, we offer a done-for-you Google Knowledge Panel package for $6,000 one-time. We handle the entity audit, structured data, Wikidata entry, authority citations, and ongoing monitoring. If your panel doesn’t appear, we keep working — guaranteed for up to 18 months.

Learn more about our Google Knowledge Panel package and get started.

What Is a Google Knowledge Panel?

A Google Knowledge Panel is the information box that appears on the right side of Google search results when someone searches for a person, business, or organization. It pulls from Google’s Knowledge Graph — a massive database of entities Google has identified as real, relevant, and worth surfacing.

Once your Knowledge Panel exists, you have the ability to claim it. Claiming doesn’t mean you control what Google shows — but it does mean you can suggest edits, verify information, and have some visibility into how Google is representing you.

This guide covers exactly how to claim your panel, what you can and can’t change, and what to do if your panel hasn’t appeared yet.

Why Trust This

This guide was developed by the team at High Rise Influence, co-founded by Jack Wendt (Army National Guard, trained under Caleb Guilliams at BetterWealth) and Dennis Yu — former Yahoo analytics lead who has managed over $1 billion in Google and Facebook ad spend for clients including Nike, Red Bull, and the Golden State Warriors, and has spoken at 750+ conferences across 20 countries. The strategies here reflect what we’ve applied building verified authority for real founder-led businesses.

Who Can Claim a Google Knowledge Panel?

Google allows individuals and official representatives of organizations to claim a Knowledge Panel. Specifically, you can claim a panel if you are:

• An individual whose personal Knowledge Panel has appeared in search results
• An authorized representative of a brand, business, or organization
• A musician, author, filmmaker, or public figure with a verified online presence

You cannot claim a panel on behalf of someone else without authorization. And you can only claim a panel that already exists — Google generates panels; you don’t create them directly through the claim process.

How to Claim Your Google Knowledge Panel: Step by Step

Step 1: Search for Your Name or Brand on Google

Open Google and search your full name or brand name. If a Knowledge Panel appears on the right side of the results, look for a “Claim this knowledge panel” link at the bottom of the panel. Not all panels show this link immediately — it depends on how Google has categorized the entity.

Step 2: Click “Claim This Knowledge Panel”

When you click the claim link, Google will walk you through a verification process. You’ll need to sign into a Google account that is associated with your online presence. Google will look for signals that connect your Google account to the entity in the panel.

Step 3: Verify Your Identity

Google verifies your identity by checking whether you have an official profile on a trusted third-party platform associated with the panel’s entity. Depending on your entity type, Google may ask you to verify through:

• Google Search Console — if your panel is for a website you own
• YouTube — for creators and public figures with verified channels
• Google Business Profile — for businesses
• Social profiles — Twitter/X, Facebook, LinkedIn, or other platforms listed in the panel

The verification step is often where people get stuck. If Google doesn’t see a strong enough connection between your Google account and the entity, the claim process won’t complete. This is why building consistent entity signals across the web matters before and after you try to claim.

Step 4: Submit Suggested Edits

Once verified, you can suggest edits to your panel through the “Suggest an edit” or “Suggest a change” option. You can submit corrections for:

• Your featured image or profile photo
• Your description
• Social media profile links
• Website URL
• Other factual details Google is displaying

Google reviews all suggested edits before applying them. Approval is not guaranteed — Google uses its own editorial standards and third-party sources to verify suggested changes. Typical review time is a few days to a few weeks.

What You Can and Can’t Control in Your Knowledge Panel

This is where most people have unrealistic expectations. Claiming your panel gives you limited influence — not full control.

What You Can Influence

• Suggest profile photo or featured image updates
• Suggest corrections to factual errors
• Add or correct social profile links
• Flag inaccurate or outdated information for review

What Google Controls

• Whether your suggested edits are accepted
• What sources Google pulls information from
• The description text (generated from Google’s data, not your input directly)
• Which social profiles are listed and in what order
• Whether the panel appears at all

The real leverage in shaping your Knowledge Panel comes from the sources Google trusts — your website, Wikipedia (if applicable), Wikidata, and verified third-party profiles. These are what you should be building and optimizing.

What to Do If Your Panel Hasn’t Appeared Yet

If you search your name or brand and no Knowledge Panel appears, you’re not ready to claim — you first need to build the entity signals that will prompt Google to generate one. Here’s what actually moves the needle:

1. Build a Consistent Entity Footprint

Google’s Knowledge Graph is built around entities — people, places, organizations, things. For Google to recognize you as an entity worth representing, you need consistent Name, URL, and description signals across the web. That means your name (or brand name) should appear the same way across your website, LinkedIn, Facebook, Twitter/X, YouTube, and any other authoritative profile.

One of the first things we do at High Rise Influence is run a brand audit to identify inconsistencies — different names, different headshots, different bios — that are fragmenting a client’s entity footprint. A local financial advisor we worked with had four different versions of his name across platforms, which was suppressing his entity recognition entirely. After standardizing his presence and building out his personal brand site, his Knowledge Panel appeared within three months.

2. Build a Wikipedia or Wikidata Presence (If Eligible)

Wikipedia and Wikidata are among the most trusted sources Google pulls for Knowledge Panel data. If you’re notable enough to qualify — you’ve been covered in major publications, spoken at significant events, or led a recognized organization — a Wikipedia article or Wikidata entry can dramatically accelerate panel generation.

Most founders aren’t at the Wikipedia threshold yet. Wikidata is more accessible and still carries significant weight. Creating a properly structured Wikidata entry with verified references is a tactical move that often precedes a panel appearing.

3. Get Covered by Third-Party Sources

Google surfaces panels for entities that are talked about — not just entities that talk about themselves. Third-party mentions in legitimate publications, podcast appearances, speaking credits, and press features all contribute to Google recognizing your entity as real and notable.

Dennis Yu’s Knowledge Panel reflects decades of speaking (750+ conferences), media coverage, and verified association with major brands. That depth of third-party signal is what makes his panel robust. Most founders are building toward that level — and even early-stage coverage counts.

4. Optimize Your Website for Entity Signals

Your website is often Google’s primary source for entity data. Make sure your site has:

• A clear About page with your full name, title, and credentials
• Schema markup (specifically Person or Organization schema) with accurate structured data
• Links to your verified social profiles
• Consistent use of your name and brand name throughout

At High Rise Influence, every personal brand site we build is structured around these entity signals from the ground up — because getting this right at the foundation level is what makes everything else compound faster.

5. Use Schema Markup Strategically

Schema markup is structured data you add to your website that tells Google exactly who you are, what you do, and how to categorize you. For personal brands, Person schema is the most important. For businesses, Organization schema.

Properly structured schema — with your name, job title, organization affiliation, social profiles, and same-as links pointing to Wikidata or other authoritative sources — is one of the fastest technical signals you can add to accelerate Knowledge Panel generation.

Real Client Examples

The Financial Advisor With a Fragmented Identity: A fee-only financial advisor came to us with no Knowledge Panel despite 10+ years in business. His problem wasn’t obscurity — it was inconsistency. Different spellings of his name, outdated profile photos, and two different business name variations were confusing Google’s entity recognition. After a 90-day entity consolidation process — standardizing his name across 30+ profiles, building out his personal brand site with proper schema, and creating a Wikidata entry — his Knowledge Panel appeared and has remained stable since.

The Executive Coach With Speaking Credentials: A leadership coach with speaking credits at three national conferences had no Knowledge Panel despite legitimate authority. The gap was technical: no schema markup on her website, no Wikidata entry, and social profiles that didn’t link back to her domain. We addressed all three in the Foundation phase of her Influence Blueprint. Within six weeks of the schema and Wikidata work going live, her panel appeared.

Dennis Yu: As co-founder of High Rise Influence and former Yahoo analytics lead, Dennis’s Knowledge Panel is the benchmark we reference for clients. His panel reflects the depth of authority that comes from sustained entity-building: consistent coverage, verified associations with major brands, and a Wikidata presence that Google pulls from directly. We use his panel as a live demonstration of what’s possible when all the signals compound.

The Claim Is the Beginning, Not the End

Claiming your Knowledge Panel is a milestone, not a finish line. The panel will only stay active and accurate if the underlying entity signals stay strong. That means continuing to build your presence across trusted platforms, keeping your website and schema current, and generating ongoing third-party coverage.

At High Rise Influence, Knowledge Panel work is one axis of the Influence Report Card — a monthly assessment we run for every client across eight areas of digital authority. It’s not a one-time project. It’s infrastructure that compounds over time.

If your panel doesn’t exist yet, the work to build the signals that will generate it is the same work that builds lasting digital authority. Start there. The claim will follow.

Frequently Asked Questions

How long does it take to claim a Google Knowledge Panel?

The claim process itself takes minutes once your panel exists and your Google account is properly verified. Suggested edits after claiming typically take a few days to a few weeks for Google to review. Building the entity signals to get a panel to appear in the first place typically takes 60–180 days of consistent work.

Can I claim a Knowledge Panel for my business?

Yes. Business Knowledge Panels are typically claimed through Google Business Profile. Individual or personal brand panels are claimed through the “Claim this knowledge panel” link in Google search results, verified via Google Search Console, YouTube, or associated social profiles.

What if Google rejects my suggested edits?

Google rejects edits that aren’t supported by its trusted third-party sources. If your suggested edit is rejected, the fix is usually to first get the correct information reflected on a trusted external source — Wikipedia, a major publication, or your Wikidata entry — and then resubmit. Google follows its sources; it doesn’t take your word for it.

Can my Knowledge Panel disappear after I claim it?

Yes. Google can remove or significantly change a Knowledge Panel if the underlying entity signals weaken — if your website goes down, if coverage drops off, or if Google’s data sources change. This is why treating your Knowledge Panel as ongoing infrastructure rather than a one-time achievement matters.

Why Trust This Guide

Jack Wendt skipped college, flew to Nashville at 19 to learn directly from Caleb Guilliams at BetterWealth, and built his career through mentorship and bold action — not a degree. He co-founded High Rise Influence and the AI Apprentice Program alongside Dennis Yu, who has trained hundreds of young marketers at BlitzMetrics and managed over $1 billion in ad spend for clients including Nike, Adidas, and the Golden State Warriors.

This guide is written from direct experience running a real apprenticeship program — not theory.

What Is a Digital Marketing Apprenticeship?

A digital marketing apprenticeship is structured training where you learn by working on live projects under experienced practitioners. You’re not sitting through lectures or running simulations — you’re building real campaigns, creating real content, and producing real results for real businesses.

The apprenticeship model has existed in skilled trades for centuries. Now it’s making its way into knowledge work, and digital marketing is a natural fit. Marketing skills are learned best by doing — by launching an ad and watching the data come back, by publishing a video and seeing how it performs, by optimizing a listing and tracking the phone calls that follow.

No textbook can teach you what a live campaign with a real budget and a real client teaches you in a single week.

What You’ll Actually Do in a Marketing Apprenticeship

If you join a serious apprenticeship program, expect to get your hands dirty from day one. Here’s what that looks like in practice:

• Run paid advertising on Facebook and Instagram — Set up campaigns, write ad copy, choose targeting, manage budgets, and optimize based on performance data.
• Produce short-form video for real businesses — Film, edit, and publish content that actually goes live on client accounts. Learn what hooks work, what formats drive engagement, and how to batch-produce content efficiently.
• Optimize Google Business Profiles — Update listings, manage reviews, add photos, and ensure local businesses show up when customers search for their services.
• Build local SEO authority — Create citations, optimize on-page content, and build the kind of entity signals that help businesses rank in their local market.
• Analyze campaign performance data — Learn to read dashboards, identify what’s working, and explain results in plain language.
• Present findings to clients or mentors — Practice communicating results, recommending next steps, and building the professional skills that separate doers from leaders.

You’ll also learn the measurement side of marketing — how to set up tracking pixels, configure conversion events, read data from Meta Ads Manager and Google Analytics, and identify which channels are actually driving results. This is where most self-taught marketers fall short, and where apprenticeship training gives you a real advantage.

Real Example: From Zero Experience to Running Campaigns in 60 Days

A 19-year-old in Minnesota joined the AI Apprentice Program with zero marketing experience. No degree, no portfolio, no prior client work.

Within 60 days, they were managing Dollar-a-Day ad campaigns for a local landscaping company — setting up targeting, writing copy, monitoring spend, and reporting results. By month four, they had generated measurable lead increases for the client, all documented in weekly MAA (Metrics, Analysis, Action) reports that tracked exactly what was working and what needed adjustment.

That’s the difference between an apprenticeship and a course. A course gives you information. An apprenticeship gives you proof that you can do the work.

What to Look for When Choosing a Marketing Apprenticeship

Not all apprenticeship programs are created equal. Before you commit your time and money, look for these signals:

Real Client Work

You should be working on actual businesses with real budgets from early in the program — not fake case studies or hypothetical scenarios. If the program doesn’t give you access to live client work, it’s a course with a different name.

Mentors with Verifiable Credentials

Who is teaching you? Can you verify their track record? Look for mentors who have managed real ad budgets, built real businesses, or worked with recognizable brands. Be cautious of programs led by people whose only credential is selling the program itself.

Accountability Structures

Weekly reports, live reviews, and regular check-ins are signs of a program that takes your development seriously. If there’s no accountability built into the structure, you’re likely to drift — just like you would watching YouTube tutorials on your own.

Graduation Based on Performance

The best programs graduate you based on demonstrated skill — not just time served. Completing a set number of weeks doesn’t mean you’ve learned anything. Showing that you can independently manage a campaign, produce results, and communicate those results to a client does.

Be Skeptical of Red Flags

Watch out for income guarantees, unusually low prices that seem too good to be true, or programs that promise you’ll be “fully trained” in a few weeks. Marketing is a skill that develops over months of practice. Anyone telling you otherwise is selling a shortcut that doesn’t exist.

The AI Apprentice Program at High Rise Influence

The AI Apprentice Program is led by Dennis Yu and Jack Wendt. It’s built on one principle: you learn marketing by doing marketing — on real clients, with real stakes, from week one.

Here’s how it works:

• Real client work from week one. You’re assigned to actual businesses and begin executing campaigns immediately — not after a “foundations” phase or prerequisite modules.
• Live group coaching every Thursday at 2 PM Pacific. Dennis and Jack lead weekly sessions where apprentices present their work, get feedback, and learn from each other’s campaigns.
• Weekly MAA reports. Every apprentice submits a Metrics, Analysis, Action report documenting what they measured, what they learned, and what they’re doing next. This builds the analytical discipline that separates professionals from hobbyists.
• Access to 140+ courses and AI agent tools. Beyond live coaching, you get a full library of training material covering Dollar-a-Day ads, local SEO, short-form video, content strategy, and AI-driven marketing workflows.

The program costs $7,500 for a full year — that includes tools, courses, real client access, and weekly coaching. There are no hidden fees or upsells.

Ready to Start?

The AI Apprentice Program isn’t for everyone. It’s for young adults who want to build real marketing skills through hands-on work — not people looking for a passive course they can watch on the couch. If you’re willing to show up every week, do the work, and be held accountable, this program will give you skills that most marketing graduates don’t have after four years.

Book a free 15-minute qualification call to see if you’re a fit for the AI Apprentice Program.

Why Trust This Guide

Dennis Yu managed over $1 billion in ad spend at Yahoo and for clients including Nike, Red Bull, Ashley Furniture, Quiznos, and the Golden State Warriors. He built BlitzMetrics’ Content Factory — an AI-powered content production system — before AI marketing was a buzzword. Jack Wendt co-founded High Rise Influence and runs the AI Apprentice Program, training young adults to execute these exact systems for real local businesses every week.

This is not theory — we run AI marketing operations daily.

What an AI Marketing Agency Actually Is

An AI marketing agency integrates artificial intelligence into the core of how work gets done — not just for generating copy or writing social media captions. That’s the surface-level use that most agencies have adopted. A real AI marketing agency goes deeper:

• AI agents automate content repurposing and reporting — A single long-form video gets broken into short clips, transcribed, turned into blog posts, and distributed across platforms by AI workflows, not interns.
• Machine learning optimizes campaign performance in real time — Ad platforms already use AI for bidding and targeting, but an AI-native agency builds additional layers of automated rules and analysis on top of that.
• Systems are designed so AI handles volume work — Repetitive tasks like scheduling, formatting, tagging, and initial performance analysis are handled by AI, so human strategists focus on judgment, relationships, and creative direction.

The key distinction when evaluating any agency: is AI a tool they occasionally use, or is it infrastructure they’ve built their entire operation around? The difference between those two determines whether you’re getting a traditional agency with a chatbot or a genuinely different way of doing marketing.

What AI Marketing Agencies Actually Do

Here’s what changes when AI is built into the foundation of an agency’s workflow:

Content production that used to require a full team is now executed by a single operator managing AI agents. One person can film a 15-minute interview, feed it into an AI pipeline, and produce a week’s worth of short-form videos, social posts, and blog content — formatted and scheduled — in a fraction of the time a traditional team would need.

Reporting is automated into live dashboards. Instead of waiting for a monthly PDF that someone spent hours assembling, clients see real-time data that updates automatically. The AI flags anomalies and trends so the human strategist knows where to focus attention.

Ad campaigns are monitored through automated rules and AI-assisted analysis. Budget pacing, creative fatigue, and audience saturation are caught and addressed faster than any human-only team could manage.

For clients, this translates to: faster execution, more consistent output, and lower costs per deliverable.

Real Example: One Apprentice, Three Clients, AI Workflows

At High Rise Influence, one apprentice manages content production for three local service business clients simultaneously using AI agent workflows. That’s not a senior marketer with ten years of experience — that’s a young adult trained in our systems.

One of those clients — a plumber in Texas — went from zero social media presence to consistent weekly video content distributed across YouTube, Facebook, and Google Business Profile. The content is filmed by the business owner on their phone, then repurposed and distributed by a 20-year-old apprentice using the Content Factory system.

That’s what AI infrastructure makes possible. The AI handles the volume — clipping, formatting, captioning, scheduling. The human handles the strategy and the client relationship. The result is a level of output that would have required a three-person team just two years ago.

How AI Marketing Differs from Traditional Marketing

The differences aren’t subtle — they’re structural:

Traditional agencies charge for time. AI marketing agencies build systems and charge for outcomes. When your deliverables are tied to how many hours someone sits at a desk, every efficiency gain threatens the agency’s revenue. When deliverables are tied to systems and results, efficiency is the entire business model.

Traditional agencies scale by hiring more people. AI agencies scale by improving their systems. Adding a new client at a traditional agency means hiring more staff. Adding a new client at an AI-native agency means onboarding them into existing workflows that are already built to handle more volume.

For local service businesses — plumbers, roofers, HVAC companies, dental practices — this matters more than it does for enterprise brands. A traditional agency might charge $2,000–$5,000 per month for basic content creation and reporting. An AI-native agency can deliver more content, faster turnaround, and better data — often at lower cost — because the systems do the heavy lifting.

How to Tell If an Agency Is Really Using AI

AI is the buzzword of the moment, and plenty of agencies have simply rebranded their existing services with “AI” in the name. Here’s how to tell the difference:

Ask specific questions:

• “What specific AI tools are built into your workflow?” — A real AI agency will name specific tools, platforms, and custom workflows. A rebranded traditional agency will say something vague like “we use AI to enhance our process.”
• “Can you show me an AI agent you use?” — If they can’t demonstrate an actual automated workflow, they don’t have one.
• “How do you measure results?” — Look for automated dashboards and structured reporting frameworks, not manually assembled slide decks.

Look for transparency about methodology. Agencies with real AI capability are usually happy to explain their systems because the systems are their competitive advantage. Agencies that are faking it will deflect or hide behind proprietary claims without showing anything concrete.

Real Example: Dollar-a-Day Testing for a Dental Practice

A dental practice in the Midwest came to us wanting more appointment bookings from their local area. Instead of guessing which ad creative would work and committing a large budget upfront, we used our Dollar-a-Day framework to test three different video formats — each running at just a few dollars per day.

Within 30 days, the data was clear: one format drove 3x more appointment requests than the other two. We scaled that format and cut the rest. Total ad spend for the entire testing phase was under $200.

This is the AI marketing approach in practice: use data to eliminate guesswork, test cheaply before scaling, and let the numbers tell you what works. A traditional agency might have picked one creative based on a gut feeling and spent $2,000 before learning it wasn’t working.

How High Rise Influence Uses AI

AI isn’t an add-on at High Rise Influence — it’s built into every part of how we operate:

• Content Factory system — Our content production curriculum, built into the AI Apprentice Program, teaches apprentices to use AI agent workflows to produce, repurpose, and distribute content at scale for real clients.
• Dollar-a-Day ad frameworks — We test creative with small budgets using data-driven rules, then scale winners. AI-assisted analysis identifies patterns faster than manual review.
• MAA reporting systems — Every campaign is tracked through Metrics, Analysis, Action reports that structure decision-making around data, not opinions.

For local service business owners who want this level of execution without building it themselves, our VIP Done For You partnership provides direct access to Dennis Yu and our AI-driven marketing systems — structured for established businesses ready for serious growth.

Is an AI Marketing Agency Right for You?

If you’re a local service business owner — a plumber, roofer, dentist, HVAC contractor — and you’re currently paying for marketing that feels slow, expensive, or hard to measure, an AI-native approach is worth exploring. The economics are different, the speed is different, and the accountability is different.

You don’t need to understand AI yourself. You need a team that has built their operation around it and can show you the results.

Talk to High Rise Influence about AI-driven marketing for your local service business.

Why Trust This Guide

Dennis Yu has worked directly with thousands of local service businesses applying these exact frameworks — including Nike, Red Bull, and the Golden State Warriors at scale, and plumbers, roofers, and HVAC companies at the local level. Jack Wendt and the AI Apprentice Program train young adults to implement these systems for real local businesses every week.

The examples in this guide come from actual client work — not hypotheticals.

Why Local Businesses Are Uniquely Well-Positioned for AI Marketing

Local service businesses already have something most brands spend thousands trying to create: a constant stream of real customer interactions, job site photos, reviews, and documented results happening every single day. A roofer finishing a job has a before-and-after story. A plumber solving an emergency has a moment worth capturing. A dentist with a happy patient has a testimonial waiting to happen.

The raw material for compelling marketing content exists in abundance — most local businesses just aren’t capturing it. AI doesn’t replace authentic content. It makes capturing, editing, and distributing that content dramatically faster and cheaper than it’s ever been.

You don’t need to manufacture a brand story. You already have one. AI helps you tell it at scale.

Real Example: A Roofing Company Goes from Zero Content to 12 Videos in 90 Days

A roofing company in Colorado was producing zero marketing content before working with one of our apprentices. No social media posts, no videos, no Google Business Profile updates beyond the basics. Their online presence was essentially invisible.

Within 90 days, using only a smartphone and AI editing tools, they had 12 short-form videos distributed across YouTube, Instagram Reels, and their Google Business Profile. The videos showed real jobs — before-and-after roof replacements, the crew at work, the owner explaining common roofing problems homeowners should watch for.

Call volume increased measurably in the following quarter. Not because the videos went viral — but because when potential customers searched for a roofer in their area, they found a business that looked active, credible, and real. That’s what consistent content does for local businesses.

Step 1: AI-Assisted Content Production

The biggest barrier to content marketing for local businesses has always been production. Hiring a videographer, a social media manager, and a content strategist costs thousands per month. Most local businesses can’t justify that expense — so they produce nothing.

AI changes the math entirely. Here’s the workflow:

• Capture short-form video at job sites, customer interactions, and behind-the-scenes moments. All you need is a smartphone. Film the owner explaining what they’re doing and why. Film the finished result. Film a 30-second tip that homeowners would find useful.
• AI tools handle the editing. Platforms like Descript and CapCut automatically transcribe audio, generate subtitles, remove filler words, and cut clips to optimal lengths for each platform.
• AI agents format content for distribution. Each clip gets appropriate titles, descriptions, and hashtags for YouTube, Instagram, Facebook, and Google Business Profile — formatted automatically, not manually.

What used to require a videographer, an editor, and a social media manager can now be done by one person with a phone and the right AI workflows. That person doesn’t need ten years of marketing experience — they need training on the system.

Step 2: Dominate Your Google Business Profile

Your Google Business Profile is the single highest-leverage SEO asset for a local service business. It directly affects whether you appear in the Local Pack — the map results that show up when someone searches “plumber near me” or “roofer in [your city].” For most local businesses, this is where the majority of new customer calls come from.

Most businesses set up their GBP once and forget about it. That’s a mistake. Google rewards active profiles — businesses that regularly post updates, add photos, respond to reviews, and keep their information current rank higher than those that don’t.

AI can maintain this consistency without constant manual effort:

• Automated GBP posts — Schedule regular updates featuring job photos, tips, and promotions.
• AI-assisted review responses — Draft personalized responses to every review (positive and negative) so you never leave a customer unanswered.
• Photo optimization — AI tools can resize, tag, and geo-tag job site photos for maximum local SEO impact.

The businesses that dominate local search aren’t necessarily the best at their trade — they’re the ones that show up consistently. AI makes consistency achievable even for a one-truck operation.

Step 3: Dollar-a-Day Ads

Dollar-a-Day is a framework developed by Dennis Yu. The concept is simple but powerful: instead of spending $500 or $1,000 on a single ad and hoping it works, you run many small $1/day boosts on your best-performing organic content to test which messages actually resonate with your audience.

Here’s how it works in practice:

1. Identify your top-performing organic posts. Look at which videos, photos, or updates got the most engagement naturally.
2. Boost each one at $1/day to a targeted local audience — your service area, your ideal customer demographics.
3. Let the data accumulate for 7–14 days. AI analyzes performance data to identify which content drives the most meaningful engagement — not just likes, but clicks, calls, and form submissions.
4. Scale what works, cut what doesn’t. Take the winners and increase their budget. Turn off the underperformers. You’ve now validated your messaging with data before committing real money.

This approach costs a fraction of traditional advertising testing. You’re spending $30–$50 total to test a batch of content instead of $2,000 on a campaign you’re guessing will work.

Real Example: Dental Practice Finds a 3x Winner for Under $200

A dental practice in the Midwest ran Dollar-a-Day campaigns on three different video formats. Each format featured the dentist, but with different angles — one was educational (explaining a common procedure), one was a patient testimonial, and one was a behind-the-scenes office tour.

Within 30 days, the data was unambiguous: one format drove 3x more appointment requests than the other two. They scaled that format and cut the rest. Total ad spend for the entire testing phase was under $200.

Without Dollar-a-Day testing, this practice would have either picked a format based on gut feeling — with a two-in-three chance of choosing wrong — or paid an agency thousands of dollars to run A/B tests that take months. Instead, they had a validated, scalable ad strategy in 30 days for less than the cost of a single patient visit.

Step 4: Automate Reporting with MAA

Marketing without measurement is just spending money and hoping. The businesses that grow consistently are the ones that track what’s working, analyze why, and take specific action based on the data — every single week.

That’s what the MAA framework does. MAA stands for Metrics, Analysis, Action:

• Metrics — Track the numbers that matter: phone calls, form submissions, ad spend, impressions, website visits, Google Business Profile views, review count. Tools like CallRail for call tracking, Google Analytics for website data, and Meta Ads Manager for ad performance provide the raw data.
• Analysis — What changed this week compared to last week? Why? Did a new video drive more traffic? Did a review response lead to a callback? Did an ad start underperforming? This is where you turn numbers into understanding.
• Action — Based on the analysis, what specific steps are you taking next week? Scale a winning ad. Publish more content in the format that’s working. Follow up on the leads that came in. Every week ends with a concrete to-do list.

AI helps at every stage — pulling data from multiple platforms into a single view, flagging significant changes, and even drafting the analysis summary. But the framework itself is what matters. Done consistently every week, marketing compounds. Each week’s actions build on the previous week’s data. Over months, this creates a measurable, repeatable growth engine.

Getting Started

You don’t need to implement all four steps at once. Start with one — usually content production or Google Business Profile optimization — and build from there. The key is consistency, not complexity.

If you’re a local service business owner who wants to implement these systems, you have two paths:

Train someone to do it: Our AI Apprentice Program trains young adults to execute exactly these workflows — content production, GBP optimization, Dollar-a-Day ads, and MAA reporting — for real local businesses. If you have a young adult in your life who’s looking for a career path, or if you want to hire an apprentice to manage your marketing, the program gives them the skills to deliver from week one.

Have it done for you: If you’re an established business owner who wants results without managing the execution yourself, our VIP Done For You partnership gives you direct access to Dennis Yu and our AI-driven marketing systems — built specifically for local service businesses ready for serious growth.