Transcription
Most agencies spend 60 hours or more and
$5,000 in labor to rank a local plumber.
My AI agent, which I built in Claude
Code, does it in 15 minutes of active
time. Entity research, GBP audit, gap
analysis, content production, schema
markup, image generation, video
generation, even WordPress deployment.
All of it. And I'm going to show you
exactly how it works. But first, you
need to understand the system behind it
because AI without a proven system is
just a faster way to do the wrong thing.
So, I'm going to break down the exact
local SEO process that my agency uses to
rank businesses in the top three on
Google Maps. The same process that's
worked across hundreds of clients since
2016. Then, I'm going to show you how
this AI agent does all of it for you.
And the tool I'm going to show you is
available at no extra cost inside my pro
community. There's a link in the
description. Now, let's start with this.
This is the rank map for a client of
mine, a plumber in Malden,
Massachusetts. average rank map of 6.18.
Only 15% of the map is in the top three.
And look at all that orange. Seven,
eight, barely cracking the top three
anywhere except right on top of their
address. And here's what makes this
interesting. Their website was basically
a sample site built in go high level
with Lauram Ipsum placeholder text. And
they're still averaging position six.
Look at this website. It's literally
Lauram Ipsum all the way through. Fake
madeup testimonials. We have good H2s,
but just Lauram Ipsum over and over
again. Now look at the after rank map.
Average rank 3.22 74% green coverage
even down into the Boston area. Green
dots everywhere. Somerville, Cambridge,
Ravier, Medford, all the way out to Lynn
and Sais. That's not a small
improvement. They went from invisible in
most of the greater Boston area to
dominating their service area. And the
spots where they're not the top three,
they're ranked fourth. Another
deployment and we'll turn those green.
Also, the difference between those two
maps, it's not six months of blogging.
It wasn't hundreds of backlinks. It was
the system I'm about to show you
executed almost entirely by an AI agent
built in clawed code. So, how does this
system actually work? And why do most
agencies get this completely wrong? Most
agencies treat local SEO like it's
regular SEO. They write blog posts. They
build backlinks. They tell their client
to wait 6 months and then the client
cancels at month three because their
phone isn't ringing. Now, I've watched
this happen hundreds of times. And the
reason it fails is because local SEO
isn't about keywords, it's about
entities. In 2018, Google made a massive
shift in how its algorithm works. It
stopped matching keywords and started
matching entities. Oh, sorry. I just hit
him in the head accidentally. An entity
is just Google's way of understanding
what something actually is. Not what
words are on a page, but what the
business is, where it operates, and what
it does. Your Google business profile is
an entity for your business. Your
website is an entity. Your business is
an entity. The services you provide are
entities. And Google is constantly
checking whether these entities match.
The closer they match, the better you
rank. When they do match, Google doesn't
trust you. And when Google doesn't trust
you, you don't rank. It really is that
simple. All right, so think about it
this way. It's not about what words are
on your website. It's about Google
knowing that you're a real business with
a real truck that actually shows up to
fix someone's pipes. That's what entity
matching is. Google is trying to figure
out whether you can be trusted based on
everything it finds about you online.
whether everything it finds about you is
telling the same story. So the very
first thing we do with any new client is
entity research. We need to understand
how Google currently sees this business.
What categories does the GBP have? What
services are listed? What's the primary
category? What are the secondary
categories? Because everything we do
after this point is built on that
foundation. Then we're going to run a
GBP audit. And this is where most
agencies already start falling behind.
The average local business has maybe one
category, maybe two on their GBP when
Google allows up to 10. They have maybe
five services listed when they should
have 30 or more. Their business
description is two sentences. Half of
the fields aren't even filled out at
all. Don't get me started on special
hours. Every empty field on your GBP is
a missed signal to Google, or more
accurately, a signal to Google that you
don't care. Every missing category is a
service entity you'll never rank for.
Every service you didn't list is a
search where Google is going to show
your competitor instead of you. So for
this client, the GVP was thin. Not
terrible, but thin. Couple categories,
10 services, and a description that
didn't do much heavy listing. That's the
norm for most local businesses, and it's
also why most of them are stuck on page
two or page 10. But even a fully
optimized GBP won't save you if your
website doesn't match it. look at the
before for this client. And that's where
the gap analysis comes in. This is the
step that most agencies skip entirely.
And it's the reason their clients say
stuck for months. Do you do gap
analysis? Do you? You should. A gap
analysis is exactly what it sounds like.
We're comparing what's on the Google
business profile to what's on the
website and finding, excuse you, and
finding every single gap between them.
If your GBP lists water heater
installation as a service, there's no
page on the website about water heater
installation. That's a gap. If your GP
has drainage service as a secondary
category, but the website never mentions
drainage service, that's a gap. Every
single one of those gaps is Google
trying to figure out and saying, "Boy, I
don't know if this business actually
does this." And it's not just Google.
ChatGpt, Perplexity, Gemini, all of
these AI models recommend local
businesses in a very similar way to how
Google's algorithm evaluates them. The
technology that Google introduced to its
algorithm in 2019 is the transformer.
That's what the T in chat GPT stands
for. They're all looking at the same
entity signals, the same consistency
between what a business claims to do and
what its online presence actually shows.
So when you build the structure
correctly for Google, you're
simultaneously making the business
visible to every AI model that's
starting to replace traditional search.
Two birds, one system. Now, here's the
thing. Most local business websites have
massive gaps, even if their GBP is done
correctly. The GBP might have four
categories and 30 services, but the
website associated with it has a
homepage, an about page, a contact page,
and maybe a service page that lists a
handful of those 30. That's five, six
pages trying to support 35 services and
categories. Google looks at the
mismatch. Chat GPT looks at the mismatch
and they don't know what to believe. So,
this is why my agency developed the core
30. It's a website structure where you
build one page for every single category
and service on your Google business
profile. Homepage targets primary
category plus city. Each secondary
category gets its own page. Each service
gets its own page. And when you're done,
you have roughly 30 pages that mirror
your GBP perfectly. The homepage links
to your secondary categories. And each
secondary category links to all the
services categories underneath it, the
exact as your GBP. And the structure
matters as much as the content. The
internal linking follows the same
hierarchy as the GBP. You're building a
website that is a mirror image of your
Google business profile. And when Google
and ChatGPT and all the AI systems see
that level of consistency, it gains
massive confidence that your business is
legitimate. We developed the system in
2023 and have used it for every client
since. For the content itself, every
page needs to be locally relevant, not
generic service descriptions you could
copy and paste for any city. The content
needs to mention local neighborhoods.
Reference local conditions sound like it
was written by someone who actually
operates in that market. A plumber in
Malden should be talking about the
triple deckers in Medford. The old pipe
infrastructure in Somerville, the
coastal weather coming off of Revier
Beach. That's what makes Google and the
AI systems believe you are genuinely
local, even if you're not. Now, here's
where this gets real. Even with AI
helping write this content, each article
takes my team one to two hours to do.
It's got to be written, checked,
generate the schema, generate the
images, produce a video, publish to
WordPress, get a developer to organize
it all, set up the internal linking.
It's one to two hours per page, times 30
pages. That adds up fast. 45 60 hours of
work per client to fill out the core 30.
And we'd usually spread that out over a
couple of months just to keep the
client's budget reasonable, which means
the client's waiting months before this
full system is in place. And that's with
a team that's done this hundreds of
times. But what if you didn't have to do
any of that manually? I built an AI
agent in Claude Code that runs this
entire process. Entity research, GBP
audit, gap analysis, content production,
schema markup, image generation, video
generation, video upload to YouTube,
video embeds, and full WordPress
deployment. The same system I just
walked you through, completely
automated. Let me show you exactly what
it does. So, I'm going to walk you
through exactly what this AI agent does
step by step. And I want you to pay
attention to how fast this happens
because it's the same process I just
told you. takes my team 60 hours. So,
here's the actual agent. First thing
we're going to do is we're going to come
into client settings. We're going to
paste in the GBP profile data. Just copy
paste. The system will parse everything
out individually. You don't need to add
all of these uh specific categories and
services. This happens automatically.
Copy paste. Then we're going to fill out
the business location and GBP. And we're
going to fill in this about the business
information. This is important. Don't
skip this. If you skip this, the content
won't be very good. The system is going
to use this information to write better
content. We can select some voice and
tone, point of view, words to use, words
to avoid, target audience. We have a
sample. We you can add writing samples,
uh some onboarding notes, specific
requests. These are blank because this
is an example, not a real client. We
have some brand settings, uh review
data, uh which is important. This will
be used for the schema generation. And
we have some local details, which look
at this. If you don't know the local
area, we can hit autogenerate. And this
system will go scrape Google and other
uh areas looking for these local details
to fill them in. Great. Filled in. Now
we can choose what we want the default
image style to be. And uh we'll hit save
client content and move on. Okay. So the
GBP and service audit. So here we can
put the GBP category in and we can put
the city in Malden, Massachusetts.
When we hit run category audit, what the
tool is going to do is pull up all of
the competitors who have the primary GBP
category of plumber and look at what
their secondary categories are. And it's
going to highlight any missing secondary
categories. So you can say, hm, should I
put electrician, should I put bathroom
or modeler? And depending on uh what
this is showing, you can decide whether
to add them to GBP or not. And here we
have that listing. And down here we have
the service entity overlap. So, we'll
put the seed uh entity in. In this case,
it's the primary category plumber. And
we can import from the GBP all of the
candidate entities. And what this will
do when we run it is it will literally
go out and do the Google searches for
plumber and for this entity and then
tell you how much overlap is between the
GBP results for those two different
searches. The goal is for Google to tell
us whether this is a unique entity or
whether it is a service entity that
lives under the primary. If it lives
under the primary, we don't need to
worry about producing content for it
because Google doesn't see it as a
different service that we need to worry
about ranking for. So something like
sewer line repair, that is a distinct.
Something like bathroom plumbing, that
is overlapping. Now we can head on over
to the site crawler. So we can hit rec
crawl. We'll get the URL and it's going
to find the total number of pages and
all of this information. And then we can
select the service category that each
one of those pages recommends. So we'll
hit rec crawl. So this is the site
crawler. Uh put your URL and then you
hit crawl. And then it's literally going
to just crawl the website, pull all the
pages it can find. All right. So
everything has been crawled. And you can
see that this is the homepage. Uh so all
the other ones it has auto assigned a
series of service and categories to them
based on the URL or title tags. uh we
can override any of them that we want to
or we can just leave it at none and
these are all of the services and
categories that are on the GBP. That way
the tool knows what services and
categories you already have pages for.
Then we can run a gap analysis to see
what actual areas we're missing and
generate a content plan based on that.
And here's where it gets interesting. We
can come into content production. So
this is set for single page, but let's
flip it over to bulk. What we're going
to do then is import from the entity
overlap and import from the GBP. So now
we've listed all of these services. We
can put the target city in as Malden MA.
And uh we're saying we want four images
per page. We're going to generate a
video every fifth item. We can do every
third item, fifth item, whatever we
want. Uh we can automatically humanize
it. We can automatically run the AI
detection. We can auto approve outlines,
autopublish to WordPress, and auto
upload to YouTube. And then this is the
list of content here. Here we have 18
selected, three with video, and it's
estimating it'll take about 70 minutes
to generate all this content. Let me
uncheck a few of these. I'll just do
maybe uh septic service and we'll do
water heater installation. So, we'll do
those two. It's thinking it'll take
about 10 minutes to go. And we'll hit
full auto and start. So, what's
happening here in the background? The
system has a series of prompts to help
it generate an outline uh that is
relevant yet distinct from the other
entities that are currently ranking.
distinct is important. Google needs to
see that this is adding unique
information. So, what we're doing, we're
crawling Reddit, we're crawling local
forums, we're crawling uh sources of
information to figure out what people
are talking about, what competitors are
talking about, what real people in your
area looking for that service are
asking. We're using all of that
information to generate the outline.
Okay. So we can uh hit approve and we
can open it up and see this is the exact
outline that's been generated exactly
how we're going to cover the septic
system service in Malden. We have an FAQ
here below. This is based on what people
are actually asking about for septic
service in that area. It's even giving
us a target snippet uh to go for the AI
overview for this query. All right. Now
that the outlines are done, we're now
generating the content. And this is also
a multi-step process. It's using four
different steps to generate the content.
First, it's generating each individual
block of content in a very slightly
different style for each one of the H2
sections that was on the outline. The
reason it's doing that is so the content
looks and feels human written. Humans
tend to write iteratively. They don't
sit down and bang out a full article in
all the same tonality and all the same
voice. They'll write individual section
by section. They'll take breaks. They'll
do additional research. So, that's what
we're mimicking with this tool. Each
section is written one at a time with a
slightly different tone, slightly
different viewpoint. Then we're using
another prompt to take all of those
sections and combine them into one
article and review the entire article to
make sure the tonality is reasonably
consistent among it. Then we're doing
another run through of this content to
add bursting. So we're then changing
sentence length, uh changing the number
of words and sentences so that we remove
some patterns with this burst analysis.
All right. Then we're running this
through yet another prompt. We're
calling the the this fifth one
perplexity injection. So what it's doing
here is it's looking for uh predictable
words and replacing those words with
multiple words that a human might use.
For example, if something says something
like significant improvements, it's
going to replace that with results that
surprised even us means the same thing,
but it's taking an approach that AI
generated content very rarely does. Then
we're doing a sixth pass on this content
where we're rewriting the first couple
sentences and the last couple sentences
with an extremely conversational,
opinionated uh human style language. The
first couple sentences and last couple
sentences are incredibly important both
for humans reading the site also for
Google's algorithm for all the AI
systems and for AI detectors. Then we're
making another pass to add conversion
optimization so that we can see phone
numbers. Why should the user, the
searcher call this company? Uh what are
they good at? What have they been doing
for a long time? Uh that speaks to what
the searcher's looking for. And then
finally, the last pass, the eighth pass,
is the final check. It's going through
the whole article again to make sure
nothing got weird or discombobulated
with all of these different passes.
We're making sure it has smooth
transitions. We're we're verifying that
there are still facts there, that the
facts are true. We're checking that the
CTAs are strong. It ends up being eight
total passes to generate and humanize
this content with the goal of producing
very very highquality content that when
your team reviews this content, it takes
a very limited time to say, "Yep, this
content is good to publish." And
remember, all that information we
entered at the beginning, all the
specific data about Malden,
Massachusetts, we're also using that
information to make the content hyper
local once the content is finished. And
you can see the step that it's on now is
humanizing this content. I think that's
uh pass four or five. But the tool isn't
stopping at content. Once the content is
done, it then generates schema markup
for every single page. And then it
starts generating images. Here we can
see the system generating the first out
of the four images we told it to create.
Basically, this is using multiple API
calls, multiple AI tools in order to do
this all in one shot. And yes, I'm
sitting here with watching it do this.
You probably shouldn't do that. You
should hit run and then go watch a
television show. And now we can see it
moving to the next step. It's generated
the images and we're now generating the
video script. Video script is done. It's
now rendering the video based on the
article that it wrote. All right. Now
that the video is done rendering, it's
being uploaded to YouTube, the specific
channel we created for this client. All
right. Now it's done with that article.
Moving on to the next article. All
right. So the tool is done. We have the
words, images, video, and the status
published. Let me show you what the back
end looks like. So, this is all the
content we previously generated. And we
can see the septic system and the water
heater installation, both of which are
still here in draft mode. So, let's take
a quick look at the water heater
installation. We can see some images,
uh, table of contents, call to action,
H2 tags, this content steps, same day,
on and on, uh, more images, an FAQ. All
right, let me show you the septic
system. This one has the video embed.
Here's the video.
All of this autogenerated, auto
uploaded. I didn't do anything. I just
let the tool run everything. So, let me
show you. Uh here's an earlier one that
we did. Let me grab that uh URL and run
it through this structured data tester
tool. We can see it has schema, no
errors, no warnings. that gave us uh
organization video article uh FAQ with
every single FAQ correctly put into the
schema here. Now, let me run this speed
test on it. GTMetrics. We'll see how
fast the site is. And remember, this is
the one with the YouTube embed. So, it's
going to be a little bit slower than
pages without the video embed. And
there's the score. Grade A, 100% 98%
structure, LCP 651 milliseconds. That's
pages built, published, linked, and
live. And that's the whole process. The
process that used to take my team 2 to 3
months to spread across an entire client
engagement. The agent can do it in a
single session. About an hour and a half
where it's just running on its own. You
don't need to sit and watch. And let me
show you again. Here's the rank map
after we ran this agent and published
all this content. Average position 3.22
74% green coverage across the greater
Boston area. Malden, Medford,
Somerville, Cambridge, Revier, all the
way out to Lynn and Sus. and the parts
that aren't green. They're ranked fourth
and fifth. All we need to do is come
back to the tool. We'll come into bulk
again and here. And we can add location
pages. This allows us to enter the
landmark, the city again, images,
videos, service name. And this will
allow us to turn those fours into threes
from Laura to dominating the map in a
day. This is not 6 months of work. It's
not even six weeks of work. And this
works because it gives Google and AI
models exactly what they want. And then
the AI agent executes it faster than any
human team possibly could. But rankings
alone aren't going to pay your bills. So
that's the whole system. entity
research, GBP audit, gap analysis,
content production, schema, images,
videos, upload to YouTube, WordPress
deployment, internal linking, all
executed by an AI agent built on the
same processes that's ranked hundreds of
local businesses since 2016. So, you now
understand this system better than 95%
of the agencies that are out there. You
know exactly why entity consistency
matters. You know exactly why the core
30 structure works. You know why generic
blog posts don't move the needle for
local businesses. And you just watched
an AI agent do the whole thing in the
fraction of the time it takes a full
team to do this. Even with AI's help,
the core 30 AI agent is available at no
extra cost inside my AI SEO pro
community. There's a link down in the
description. You're going to get the
agent, every prompt behind it, and we do
a weekly live Zoom where I can help you
implement this for your clients. But
here's the thing. None of this matters
if you can't get clients in the door. I
see agencies with incredible skills,
amazing case studies, but they're
struggling to hit 10K months because
they have no idea how to land local
clients. They can rank a business in 2
weeks, but can't convince a business
owner to pay them $2,000 a month. The
ranking game, honestly, it's completely
different from the client acquisition
game. Different psychology, different
objections, different sales processes.
If you want to see the exact client
acquisition system that got me 97
plumbing clients in 6 months, click on
this video right here before you waste
another month with amazing skills but an
empty bank