11:24Adam Erhart · Tutorial
I've Made Thousands of Cold Calls. Here's Why I Stopped
An 11-minute breakdown of the 3-step system Adam Erhart uses instead of cold calling to run a one-person, 7-figure agency.
June 1stThe argument in one line.
AI search engines now recommend a single local business instead of listing ten, so invisible loss of customers is becoming the easiest reason for beginners to sell a $500-$2,000/month AI-visibility service built on three simple anchors: reviews, activity signals, and a complete profile.
Read if. Skip if.
READ IF YOU ARE…
- You want to start or grow a local-business marketing agency with no technical AI skills required.
- You're looking for a beginner-friendly recurring-revenue service to pitch to plumbers, roofers, or similar local businesses.
- You want a simple, repeatable monthly retainer offer instead of one-off project work.
- You're curious how AI answer engines like Google Maps or ChatGPT actually decide which local business to recommend.
SKIP IF…
- You're looking for deep technical detail on how AI search ranking algorithms work — this stays at a practical, sales-pitch level.
- You already run a review/reputation-management service and know the reviews-photos-profile playbook.
The full version, fast.
When someone asks Google Maps, ChatGPT, or Perplexity for a local service, the AI now gives back a recommendation of one or two businesses rather than a scrollable list of ten, and the businesses left out lose customers with no way to notice or measure it. The video frames this invisible loss as urgent leverage for selling a monthly AI-visibility service, then reduces the actual mechanism to three anchors: reviews with specific service language, recent activity signals (photos, posts, review replies), and a fully completed Google Business Profile. The pitch is that a beginner can run all three anchors for a client using a CRM tool, charge $500-$2,000 a month, and close the deal by leading with the customer-loss problem rather than the AI feature name.
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00:00 – 01:23
01 · Why AI search could be quietly stealing local customers
AI gives Erhart a confidently wrong answer; he connects it to AI also being wrong about which local business to recommend, and frames the lost business as an invisible, untrackable loss.
01:23 – 02:04
02 · The new way people find roofers, plumbers, and local services
A search on Google Maps for a roofer now returns a single named recommendation instead of ten listings; Erhart credits his track record (three 7-figure agencies, 1,500+ small businesses) before pitching the opportunity.
02:04 – 02:48
03 · Why 'invisible lost customers' makes business owners take action fast
Roofers who don't get picked keep working but notice unexplained calendar gaps; Kahneman's loss-aversion research is cited to explain why this triggers panic-driven buying decisions.
02:48 – 03:20
04 · Why this is the easiest selling environment Erhart has seen in a decade
Three years ago local owners dismissed marketing help ('my niece handles it'); today they have no idea if AI recommends them and ask for help unprompted.
03:20 – 03:40
05 · What the gurus get wrong
Erhart dismisses AI-engineer courses, prompt memorization, and certifications as unnecessary — the AI only looks at three things.
03:40 – 04:14
06 · Introducing the 3-anchor method
The anchor metaphor is introduced: three anchors keep a boat planted regardless of the current, same as three signals keep a business recommended regardless of which AI product is asking.
04:14 – 04:54
07 · Anchor 1: getting reviews that tell AI what the business actually does
AI reads the specific words inside customer reviews, not the business's own website, to learn what a business does and when to recommend it.
04:54 – 05:28
08 · Anchor 2: showing AI the business is active and trustworthy
Fresh photos, recent posts, and responses to reviews signal to AI that a business is alive; stale, unanswered listings look abandoned and get passed over.
05:28 – 06:02
09 · Anchor 3: fixing the Google profile so AI has the right information
A fully completed Google Business Profile (hours, services, address, phone, categories, description) is the third anchor; about half of local listings are missing at least one field.
06:02 – 06:19
10 · Why this beginner-friendly service is simpler than most AI side hustles
Erhart frames the simplicity as the actual advantage — comparable to maintaining a restaurant's sign rather than coding an app — and argues boring, unsexy work is where the money is.
06:19 – 07:12
11 · How to run the whole service every month without overcomplicating it
Erhart names HighLevel as the tool he uses to automate all three anchors: auto-texted review requests, scheduled photo posting, AI-drafted review replies, and profile gap-checking.
07:12 – 07:57
12 · What not to promise when selling AI visibility services
Warning 1: never promise guaranteed AI rankings since no one controls the algorithm. Warning 2: never review-gate — same link to every customer, every time, or risk the listing being pulled.
07:57 – 08:58
13 · The easiest way to pitch this to a local business owner, and closing the loop
Warning 3: lead with the felt problem, not the feature name ('I noticed you didn't come up when I searched'). Erhart closes with a choice between chasing every new AI tool versus mastering one repeatable service, and points to his linked course/trial.
Lines worth screenshotting.
- AI answer engines now return one or two local business recommendations instead of a scrollable list of ten, collapsing competition to a single winner.
- A business that isn't recommended by AI search loses customers with no phone call or website click to point to — the loss is completely invisible.
- Loss aversion research shows people feel losing something roughly twice as strongly as gaining an equivalent amount, which makes invisible customer loss a stronger sales trigger than a growth pitch.
- AI recommendation engines read the words inside customer reviews, not business websites, to decide what a business actually does.
- If twelve reviews say 'fixed my leak the same day,' the AI learns that business does same-day leak fixes and surfaces it for that exact search.
- A business with no specific language in its reviews gives the AI nothing to match against, regardless of how good the business actually is.
- AI search treats fresh photos, recent posts, and review responses as signals that a business is currently active rather than abandoned.
- A completed Google Business Profile — hours, services, address, phone, categories, description — is one of only three inputs AI weighs, yet about half of local businesses leave at least one field blank.
- The entire AI-visibility mechanism reduces to three anchors: review language, activity signals, and a complete profile — not dozens of ranking factors.
- Selling this service works best by leading with the felt problem ('you didn't come up when I searched') rather than naming the AI feature, since business owners don't care what the underlying tool is called.
- Sending every customer the identical review-request link is a compliance requirement, not a style choice — routing happy customers to Google and unhappy ones elsewhere is 'review gating' and can get a listing removed.
- Promising guaranteed AI rankings is dishonest since no one controls how any AI model ranks results; the honest promise is that the three anchors will be set up and maintained.
AI search recommends one business, not ten, and three signals decide who wins.
WHAT TO LEARN
When AI answer engines replace search-result lists with a single recommendation, the businesses left out lose customers invisibly, and the fix comes down to review language, activity signals, and a complete profile.
01Why AI search could be quietly stealing local customers
- A confidently wrong AI answer to a trivia question is presented as evidence that AI is just as confidently wrong about which local business to recommend.
- Lost recommendations don't show up as a missed call or a missed click, so the business never learns it happened.
02The new way people find roofers, plumbers, and local services
- A modern local search on Google Maps returns a single named recommendation instead of a list of ten businesses to compare.
- Track record (three 7-figure agencies, 1,500+ small businesses) is used to establish credibility before the pitch.
03Why 'invisible lost customers' makes business owners take action fast
- Business owners can sense something has shifted in their bookings without being able to name or prove the cause.
- Loss aversion research explains why an unnamed, unprovable loss still produces urgent, panicked buying decisions.
04Why this is the easiest selling environment Erhart has seen in a decade
- Owners who once dismissed marketing help now ask for it unprompted once the AI-visibility question is raised.
- The pitch works because most owners genuinely don't know whether AI tools recommend their business.
05What the gurus get wrong
- Becoming an AI engineer, buying expensive courses, or memorizing prompt lists is unnecessary for this specific opportunity.
- The AI's recommendation decision is claimed to rest on only three factors, not dozens.
06Introducing the 3-anchor method
- The three anchors are named as the fixed, tool-agnostic factors that apply regardless of which specific AI product a customer uses.
07Anchor 1: getting reviews that tell AI what the business actually does
- AI reads review text, not business websites, to learn what services a business actually delivers.
- Specific, repeated phrases in reviews (e.g. 'same day leak fix') let AI match a business to a matching search query.
08Anchor 2: showing AI the business is active and trustworthy
- Fresh photos, recent posts, and review responses signal to AI that a listing is currently maintained.
- A stale listing with old photos and no review responses reads to AI as abandoned, regardless of actual business quality.
09Anchor 3: fixing the Google profile so AI has the right information
- A fully completed Google Business Profile is treated as a required, weighted input for AI recommendations.
- Roughly half of local business listings are missing at least one required profile field.
10Why this beginner-friendly service is simpler than most AI side hustles
- The service is framed as maintenance work (like a restaurant sign) rather than technical work (like coding an app).
- Simple, 'unsexy' recurring maintenance work is argued to be more consistently profitable than flashy, attention-grabbing tactics.
11How to run the whole service every month without overcomplicating it
- Automating review requests, photo posting, and review replies keeps ongoing work to roughly thirty minutes a month per client after setup.
- Consolidating all three anchors into one platform is what makes the recurring service maintainable at scale.
12What not to promise, how to pitch it, and closing
- Never promise guaranteed AI rankings, since no one controls how any AI model ranks recommendations.
- Never review-gate (routing only happy customers to a public review link) — it can get a Google listing penalized.
- Lead a sales pitch with the felt problem the owner already senses, not the name of the AI feature or tool being used.
Terms worth knowing.
- Review gating
- Filtering customers so only likely-positive reviewers are sent a public review link while unhappy customers are diverted elsewhere; treated as a violation that can get a Google Business listing penalized or removed.
- Google Business Profile
- The free business listing on Google (hours, services, address, phone, categories, description, photos) that AI search tools read to answer local recommendation queries.
- Loss aversion
- A behavioral-economics finding, associated with Daniel Kahneman, that people feel the pain of losing something roughly twice as intensely as the pleasure of an equivalent gain.
Things they pointed at.
Lines you could clip.
00:31
“They just quietly stopped existing.”
02:36
“Losing feels twice as bad as winning, which is why a roofer who loses three customers a month to an AI that he can't see is not in a logical headspace. He's in a panicked one.”
05:41
“It's hard to sell a $997 course when the answer is reviews, photos, and a completed profile.”
05:47
“This is more like maintaining the sign in front of a restaurant than it is like coding an app from scratch.”
09:45
“The boring stuff pays. The shiny stuff gets a lot of attention, but rarely makes anybody any money.”
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metaphoranalogystory
00:00A couple weeks ago, I asked Google's own AI a question that I already knew the answer to, and the answer it gave me back was confidently wrong, which somehow feels worse than just being wrong. I laughed, closed my laptop, and then moved on with my day. But there was something about that interaction that just kept bugging me.
00:15You see, here's the part that nobody is talking about. If AI gets a question confidently wrong about something that you can verify in, two seconds, it's also confidently wrong about which local business to recommend when somebody nearby is looking to spend money.
00:28And the businesses that don't get recommended, they have no idea that this is happening. They didn't lose a phone call that they could track.
00:35They didn't lose a website click that they could measure. They just . That invisible loss is the single biggest reason that local businesses in your town and towns all across the world right now are about to start paying somebody 500, 1,000, even $2,000 a month.
00:51And if that somebody is you, this is the easiest first or next client that you're ever gonna close. I've built three different 7 figure agencies, worked with over 1,500 small businesses, run thousands of campaigns, and today, I do it all as a one person agency with zero employees. And what I'm about to show you is three anchors, just three.
01:09And these decide whether any AI on the planet recommends a local business when somebody nearby asks for what that business sells. I call this the anchor method. And by the end of this video, you're gonna know exactly how to walk into a local business this week and get paid every single month for the rest of the year to run this for them.
01:26Let me show you what's actually happening right now today. A customer in, say, Raleigh, North Carolina pulls out his phone. He needs a roofer.
01:33Now two years ago, he would have typed roofer Raleigh into Google and scrolled through the listings. Today, though, he opens Google Maps and types something like this. I need a roofer in Raleigh, North Carolina who can come look at a leak this week.
01:46Decent reviews, not too expensive. That's the whole search. And Google's AI writes him back a recommendation.
01:51Not a list of 10 different options, a recommendation. A name, maybe two, three tops. Now think about the roofers who didn't get picked.
01:59They're still answering their phone. They're still showing up to jobs. They're still wondering why their calendar has gaps that it didn't have last year.
02:06The business owners can feel this. They can't prove it and they can't name it, but they can feel that something has shifted. Daniel Kahneman, the behavioral economist who won the Nobel Prize for his work on loss aversion, well, he showed that humans feel the pain of losing something roughly twice as strongly as the pleasure of gaining something equivalent.
02:23That's just basic math on the inside of the human brain. Losing feels twice as bad as winning, which is why a roofer who loses three customers a month to an AI that he can't see is not in a logical headspace. He's in a panicked one.
02:35He's kind of freaking out, and nothing speeds up a buying decision like invisible loss. Let's be honest for a second. I've been selling services to small business owners for over a decade now, and this is the easiest selling environment that I've ever seen, Probably, the easiest it's been in a decade for anybody doing it.
02:51Three years ago, when I talked to a local business owner and offer them help with their social media, they'd say, we're good. My niece handles it. Today though, when I walk into the same kind of business and I ask them this, quick question.
03:01When somebody nearby asks Maps for your service, have you checked if you're the one it recommends? They say, I have no idea. Can you help me with that?
03:09Well, that's the entire business opportunity. But here's where most people get this wrong. They think the answer is to become an AI engineer or buy a fourteen hour course taught by a guy standing in front of a rented Lamborghini.
03:20Memorize a thousand different prompts. Get a certification with a holographic seal. But it's not any of that.
03:25Because here's what nobody is telling you about how the AI actually decides who to recommend. It looks primarily at just three things, not 30, just three. Get those three right, and the AI will recommend your client whether the feature this month is called ask maps or something totally different by Christmas.
03:42That is the anchor method. Three anchors. Picture them like the three points of an actual anchor, the kind that keeps a boat planted no matter what the current is doing.
03:50Anchor one is the words. When somebody asks maps or chatty p t or Claude or Perplexity for the best plumber nearby, the AI doesn't read the plumber's website.
04:00It reads the reviews, specifically the words inside the reviews. If 12 customers wrote, fix my leak the same day, the AI now knows that this plumber fixes leaks the same day.
04:10When somebody asks for a same day leak fix, that plumber wins. Now if nobody ever wrote those words, the AI has nothing to go on. It doesn't matter how good the plumber actually is.
04:19Anchor two, the signals of life. Here's the deal. The AI is trying to answer one quiet question about every single local business out there.
04:26Does this place feel real and active right now, or does it look abandoned? Fresh photos on the Google listing answer that. So do recent posts.
04:35So does the business actually responding to its reviews instead of just letting them sit there? A business with three blurry photos from 2019 and no responses since the pandemic looks dead to the AI. A business posting new photos every couple weeks, that one looks alive.
04:50So the alive one gets recommended. Okay. Anchor three, the profile itself, the boring one, the Google listing fully filled out, hours, services, address, phone, categories, description.
05:01About half the local businesses in your town have a listing that's missing at least one of these. Now usually, when somebody hears this, the immediate reaction is, that's it? That's the whole thing?
05:11And, uh, yep. That's pretty much it. Congratulations.
05:14You now understand local AI marketing better than most people posting about it on LinkedIn. This is the part that the gurus hate. It's hard to sell a $997 course when the answer is reviews, photos, and a completed profile.
05:26Most people think if something makes money, it must also be complicated. But this is more like maintaining the sign in front of a restaurant than it is like coding an app from scratch. If the sign is lit up and it's clear and it's updated, people walk in.
05:38If it's dusty and half the letters are missing, they drive past and they don't even register that this place exists. Turns out the future of AI discovery is aggressively unsexy, which is usually how you know that there's money in Because the boring stuff pays.
05:52The shiny stuff gets a lot of attention, but rarely makes anybody any money. All that said, the value isn't just in knowing what those three anchors are. The value isn't actually doing them every month for every client without ever dropping any of them.
06:05That's where the system comes in. The tool I use to run all three anchors for every client I work with is HighLevel. I'm dropping the link in the descriptions below with an extended trial from the templates that I use, a ton of bonuses, my full agency operating system.
06:17And the reason this works so well is that everything sits in just one place. For the words anchor, it texts every customer a review request the moment that the job is done. Same link goes to every single customer, which, by the way, is the only way to do this without breaking Google's rules.
06:32The text that the customer gets looks like this. Hey, name. Thanks for choosing us.
06:37Would you take 30 to leave us a Google review? Link's right here. Insert the link, then say, means a lot.
06:43For the Signals of Life Anchor, it automatically posts fresh photos to the listing every week, and it can use AI to write a reply to every review the second it comes in. For the Profile Anchor, it pulls in the client's Google listing and literally shows you what's missing. You fix it once, and it stays fixed.
06:59One client, three anchors, about thirty minutes of work a month after the setup is done, which is why winning at this looks less like coding and more like remembering to do three simple things every month. And that's why people charge 500 to $1,000 a month for this, and the math actually works for both sides. Now before you go do this, I've got three quick warnings that you need to know.
07:18Warning one, do not promise rankings. Anybody selling guaranteed placement in AI search, they're lying. Nobody controls the AI.
07:26What you can promise, though, is that the three anchors will be set up and maintained, and that's actual leverage. The AI just does what it does. Your client's signals though are stacked in their favor regardless of which AI is doing the recommending.
07:38Warning two, the reviews piece has to stay honest. Every customer gets the same link every time, Not a filter that sends happy customers to Google and unhappy ones to a private internal form because that's called review gating, and Google can pull down their listing for doing it. Safeway here is same link, every customer, every time.
07:55Warning three, don't lead with the feature name when you walk in. The business owner doesn't care what Ask Maps is. They care that they're losing customers that they can't see.
08:04You wanna lead with the problem that they already feel. Then you wanna show them the fix and quote the price. I noticed when I searched for service nearby, you didn't come up.
08:13I help local businesses fix that. Got two minutes? You can spend the next six months chasing every new AI tool that launches, and you'll end up exactly where these existing business owners are now, overwhelmed, reactive, and still looking for somebody to simplify it.
08:26Or you can spend the next six weeks getting good at just one thing. Just follow the three anchors, get a handful of local businesses, have them pay you every single month, and you'll get paid regardless of what AI launches next. The platform I use to run the anchor method is HighLevel, and it's linked in the descriptions with an extended trial and all of the templates I use for clients.
08:43I'll also make sure you get access to my full agency OS and a ton of other free bonuses. And if you want the full walkthrough on what this whole agency looks like and why it works so well, then you're gonna wanna check out the master class video that I've got linked up right here. So feel free to tap or click that now.
08:57See you in there in just a second.
The Hook
The bait, then the rug-pull.
Adam Erhart opens with an AI search engine confidently getting a fact wrong — then pivots to the real point: if AI is confidently wrong about trivia, it's just as confidently wrong about which local business deserves a customer's call, and the businesses passed over never even know they lost the sale.
Named ideas worth stealing.
01:06list
The Anchor Method
- The words (review language)
- Signals of life (activity/freshness)
- The profile (complete Google Business Profile)
Three inputs Erhart claims AI answer engines actually weigh when deciding which local business to recommend: specific service language inside customer reviews, signals that the business is currently active (fresh photos, posts, review replies), and a fully completed Google Business Profile.
Steal forAny local-business or agency offer needing a simple, sellable AI-visibility service framework
How they asked for the click.
VERBAL ASK
06:19product
“The tool I use to run all three anchors for every client I work with is HighLevel. I'm dropping the link in the descriptions below with an extended trial... a ton of bonuses, my full agency operating system.”
Affiliate-style soft-sell woven into the 'how to actually run this' section rather than a separate ad break; reinforced again at the very end alongside links to a free course and a free client-acquisition playbook.
MENTIONED ON CAMERA
FROM THE DESCRIPTION
PRIMARY CTAWhere the creator wants you to go next.
OTHER LINKSAlso linked in the description.
Visual structure at a glance.
