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By this point, you know AIdriven search
is transforming how users find
information. And by the end of this
video, you'll know how AI search works
and why it's so important, practical
ways to structure your site to get
picked up in AI search results, and why
traditional SEO is not dead, but in fact
is more important than
ever. My name is Matt Canyon, and I work
as a growth partner helping businesses
get more traffic, leads, and sales from
organic search. and I've partnered up
with Surfer to help demystify AI search
once and for all. See, the TLDDR version
of this video is that ranking in AI
search pretty much just boils down to
doing good SEO with a few important
nuances that can make it easier for
tools like chat GPT to index and present
your website. You've probably seen
people claim that GEO, generative engine
optimization, or AEO, answer engine
optimization, is the new
SEO. We just love our acronyms here in
digital marketing and sales, apparently.
In fact, drop your favorite corporate
acronym in the
comments. I think mine's probably
KPI. Just kind of rolls off the tongue.
Anyway, some even say that GEO is
effectively making Google obsolete. But
is that true? Let's look at the data.
According to Exploding Topics, Google
sees roughly 16.4 billion searches per
day. That's compared to ChatGpt's 1
billion queries per day. And a lot of
those chat GBT messages are probably not
traditional search queries like we would
think of. This figure presumably
includes all the stuff like, you know,
please respond to this email in a polite
way or please give me a step-by-step
guide on how to like this video on
YouTube, which I'm just saying be super
cool if you did. According to a 2025
study by the digital marketing agency
Higher Visibility, 79.8% of Americans
still prefer traditional search engines
for their queries. Most folks just tend
to stick with what they know, and that
happens to be good old Google. But make
no mistake, AI search is definitely on
the rise, but we have some time before
it's fully adopted into the mainstream.
And if you're targeting millennials or
Gen Z for your products or services, you
still have time, but maybe a little bit
less because according to this study,
those generations are much more likely
to fold AI tools into their search
behaviors. The good news is that GEO is
less of a new discipline you have to
master and more of an additional layer
that you add onto your existing SEO
foundation. So, as a smart, beautiful,
futurethinking marketing leader or
business owner that you are, you see the
writing on the wall and you know that
getting into AI search tools now before
they become mainstream is probably a
good idea, which is why you're watching
this video. Thanks. By the way, it's
important to note when we say AI search,
we're referring to appearing in results
from generative AI tools like ChatGpt as
well as Google's own AI overviews. And
although both are technically powered by
different large language models under
the hood, the tactics we discuss in this
video are very much applicable to both.
Speaking of AI overviews, Surfer
released a comprehensive study looking
at AI overview insights from over
400,000 searches, and the data is pretty
eye opening. So definitely check that
out after this video. The link will be
in the description. Here's the bottom
line. Generative AI platforms often pull
from the top ranking search results and
trusted sources to compose their
answers. So strong traditional SEO is
the foundation. You likely won't show up
in AI responses if you don't first rank
well organically. That said, there are
some specific things you can do to make
your website a prime candidate for LLM
consumption. We'll tackle these in a few
categories. The first is writing content
that AI loves. The second is technical
considerations for getting picked up by
AI. The third is the role of schema
markup and AI search. And lastly, we'll
look at authority and trust signals. But
before we get into this stuff, one of
the biggest things that's driven
marketers absolutely bonkers about GEO
is that there hasn't really been a
reliable way to track it. And if we
can't generate reports and fancy graphs
that go up and to the right, well, what
is all this for? Tracking clicks from
large language models isn't always
helpful also because most folks will get
the answer in a more conversational way
and not end up clicking any links. So
tracking brand mentions by AI, at least
right now, is the best way to measure
success. Surfer recently launched an AI
tracker that monitors mentions of your
brand or product across popular language
models. So, if you're a Surfer user, you
can take a minute before implementing
the tactics in this video to add your
company or product name and a short
description of your category. Surfer
will create relevant prompts for you,
and within a few minutes, you'll get a
full report that updates daily. Soon,
you'll be able to edit those prompts
manually, and Surfer plans to add
support for all popular large language
models in the coming months. Okay, so
now that we have a way to know where we
currently stand in AI search, let's talk
about writing content that AI loves.
Unsurprisingly, AI gravitates toward
natural language and question focused
content. AI models like chat GBT and
Claude and Grock and all the rest are
built on conversational text. So they
naturally prefer content that sounds
like a human expert explaining
something. AI prioritizes comprehensive
coverage following EEAT principles.
That's experience, expertise,
authoritiveness, and trustworthiness.
One 2024 study found that well organized
authoritative content like with clear
sections and FAQ entries increased
inclusion in AI generated answers by up
to 37% on platforms like Perplexity.
Now, we don't exactly know how Google or
these AI models evaluate EAT. that's a
little bit mysterious, but we do have
some concrete ways to demonstrate EAT in
our content. And those are sharing
firthand experiences or case studies
wherever possible, including statistics
and citing reputable sources, showcasing
your credentials or industry expertise,
or if you interview an industry expert,
showing their industry expertise,
presenting multiple perspectives on
complex topics, and addressing potential
objections or limitations. Third, AI
loves semantic richness and context.
Rather than repeating the same keyword,
use a natural variety of related terms,
concepts, and entities that create a
semantic web around your content. This
is where I really love using Surfer's
content editor. Instead of guessing
which related terms to include, Surfer
analyzes the top performing content and
gives you a comprehensive list of
semantically related keywords, NLP
terms, and questions to cover. Here are
a few other content formatting
considerations. First, both humans and
AI appreciate well ststructured content.
So, make sure you're using a clear
hierarchy of headings to break content
into logical sections. See, if someone
asks AI a specific question that you
answer in a particular section of your
page, a proper heading can direct the AI
to that part. Also, utilize bullet
points or numbered lists for steps,
tips, or lists of items. These are not
only really good and and scannable for
user experience, but they're easy for
the AI to quote verbatim and ensure no
key points are lost in a paragraph. In
fact, structured content formats like
lists and tables have been shown to
improve the chances of being featured in
AI answers. Next, use frequently asked
questions where appropriate to capture
succinct information that can be easily
parsed and repeated by AI search tools.
For example, does your software
integrate with Salesforce? Answer, yes.
Our software offers a native Salesforce
integration. It seems obvious, but
anytime we can really hold the hand of
these tools and direct them to clear
answers, we're going to increase our
likelihood of being featured in these AI
results. Lastly, use tables for
structured information. If you have data
that compares features, specs, pricing,
etc., a table is an excellent way to
present it. Again, not only for user
experience, but also for AI as well.
Structured tables can be parsed by AI,
and an AI might even quote a specific
cell. Okay. Next, let's talk about some
technical considerations for making sure
Chad GPT and other AI search tools can
actually access your site because it'd
be a shame if you did everything I just
mentioned and they can't even get to
your content. So, that leads us to
talking about crawability. Start by
double-checking your robots.txt file,
usually found just by typing
robots.txt at the end of your domain. AI
search tools typically pull information
from web indexes or use their own
crawlers. So, make sure you're not
disallowing OpenAI's GPT bot, Google's
crawlers, and Microsoft's Bingbot. By
the way, did you know that Chat GPT
search actually uses Bing's index?
That's right, humble old Bing is making
a comeback. That means it's all the more
important that you're indexed in Bing
and that you submit a site map to Bing's
web master tools, which by the way is a
super underrated SEO tool. Bing web
master tools. Check it out. To adjust a
robots.txt txt file, you'll typically
access it through your website's control
panel, a plug-in, or a server level text
editor. If you have a developer, they'll
know what to do. Second, ensure your
most important content is in HTML text
rather than hidden behind JavaScript or
buried in images or videos. While
traditional search engines have gotten
better at rendering JavaScript, AI
systems primarily read your raw HTML. If
your key information only appears after,
say, a JavaScript interaction or it's
embedded within images, AI might miss it
entirely. For the same reason, always
include descriptive alt text for images
and transcripts for videos. This makes
your multimedia content accessible to AI
systems. Third, optimize your site
structure and speed. A clear, logical
site hierarchy helps AI understand
what's important on your site. Keep your
most valuable content within a few
clicks of your homepage and use
descriptive internal linking. You see
what I mean? We're just we're talking
about good SEO best practices here. Now,
let's talk about the role of schema
markup. If you're unfamiliar with the
term schema markup is a vocabulary that
tells AI and search engines in general
precisely what type of information
you're presenting. It's code that humans
can't see, but that robots can use to
quickly determine what a page is about.
Now, it's been used by SEOs for years,
but according to Google, it's especially
important in the age of AI. Schema
markup also powers many of what Google
calls rich results, which are things
like knowledge panels, carousels, and
any other fancy non-extual things that
appear in Google search results. There
are several types of schema that are
particularly valuable for AI search
ranking. First, you've got your
organization schema that tells AI about
your brand, including your name, logo,
and social profiles. You know those
little knowledge graphs that will
sometime appear in Google search
results, those rectangles with all that
really handy information about a
company. Most of the time, Google is
pulling that from organization schema.
Now, article schema is probably the next
most popular for search optimized
content like blog posts. It explicitly
signals the publication date, the
author, the headline, all factors that
help AI determine relevance and
credibility. To make sure you have the
appropriate schema on your pages, I'd
recommend checking out the official
documentation for the types of rich
results that Google supports and making
sure that any of the relevant tags are
applied to your pages. More often than
not, these are the same types of schema
that AI tools are using to identify your
content. Now, implementing schema
markup, of course, does not
automatically guarantee that you're
going to show up in rich results or in
AI search results, but it does increase
your odds significantly by letting these
AI search tools know exactly what your
content is and how they ought to present
it. So, if we look at all these things
from a high level, really our goal here
is to make every important piece of
information on your site unambiguous to
machines. If an AI can easily parse that
your company is a cyber security company
founded in 2020 based in New York City
from your schema, it's more likely to
use those facts in an answer about say
cyber security startups in New York
City. And not only should that
information be clearly accessible from
your website, but also broadcasted
across the internet in as many places as
possible. See, AI models love to sample
data across large knowledge sources like
Wikipedia, business directories, and
industry databases. Even if you don't
have a full Wikipedia page, consider
adding your business to Wiki data, the
structured database behind Wikipedia.
These are prime candidates for Google's
knowledge panels and often sampled by
LLM training data. Beyond that, make
sure you have a presence on any and all
appropriate aggregation sites like
Google My Business, Bing Places, Yelp,
Apple Maps, LinkedIn Company Pages,
IMDb, PubMed, Crunchbase, or any other
industry database in your niche. So, to
wrap up this section, Google has
explicitly confirmed that there is no
secret AI tag or code or trick to help
you rank in Google's SGE. That's the AI
overviews at the top of the SER. These
tools rely on the wellestablished
structured data types that we should all
be using anyway as part of our SEO
strategy. Now, let's talk about how
building authority and trust signals
directly plays into boosting your AI
rankings. So, we already talked about
EAT signals a while back, and that's an
excellent way to build trust signals and
expertise from within your content. But
that's not enough. You also need to
build off-site authority signals. AI
doesn't just evaluate your content in
isolation. It considers what the rest of
the web says about you. That means
quality backlinks from respected sites,
mentions in industry publications,
positive reviews, and inclusion in best
of lists all send powerful trust signals
to AI and increase your likelihood of
showing up in results. For instance,
let's say you run a travel blog. If you
were to be listed in an article or
several articles titled top 10 travel
blogs of 2025, these are roundup
articles that go out and curate
resources for their users. If you were
to be featured in one of these on a
well-known site, that is pure gold. AI
answering what are some good travel
blogs might very well include yours if
it saw that list, especially if that
list is on a high ranking authoritative
site. So proactively reach out to
bloggers, journalists or industry sites
that do best of roundups and pitch your
inclusion. Even if you can't get a
proper do follow backlink from them,
just getting your brand mentioned is
still very valuable because large
language models are going to be sampling
that data most likely and serving it up
to users. Now, third, and perhaps most
importantly, is to develop comprehensive
topical authority. Because when you do
this, the other pieces of the puzzle
tend to just fall into place. This means
creating content that thoroughly covers
all aspects of your niche, answering the
full spectrum of questions your audience
might ask. Honestly, I have found that
just going out to achieve topical
authority is the best way to build brand
mentions and backlinks because when you
look like you're an authority on a
particular niche and you've covered it
from every angle, that motivates people
to naturally link back to your site.
Anyway, this is where Surfer's topical
map comes in absolutely clutch. Topical
map visually maps out your current
content coverage and identifies gaps
that might be undermining your
authority. Remember that study on AI
overviews I mentioned earlier in the
video? Well, Surfer found out that AI
overviews mention an average of five
sources per query, and 90% of the time,
Google lists eight or fewer sources. But
here's the cool part. These sources can
come from multiple pieces of content on
the same domain, meaning you can
significantly increase your chances of
showing up as a source in the answer
when you cover the topic from all
angles. So to summarize this section and
really as an overarching theme for this
video, it's important to build your
website and your content as if you're
trying to impress an expert human
reviewer because AI is essentially an
aggregate of many such reviewers.
Establishing your expertise and
trustworthiness not only helps
traditional SEO via quality raider
guidelines, influences, and things like
that, but directly affects whether an
LLM likes your content enough to repeat
it to users. So, I'm curious now that
you know that the big secret to GEO
ranking is really that there's no secret
at all, just the basics of good SEO. How
does that make you feel? For me, it's
encouraging because it's one less thing
to learn. And with tools like Surfer in
your tool belt, you can tackle whatever
the future of search holds without
getting overwhelmed. Surfer gives you
everything you need to increase your
rankings in both organic and AI search.
From keyword planning with topical map
to creating perfectly structured content
with content editor, you can identify
underperforming pages through content
audit. Strengthen your site structure
with automated internal linking and now
even track your AI search performance
with our AI tracker. At the end of the
day, as Ryan Law from HFS put it in his
insightful article, whether you call it
GEO, LLM O, or AEO, it all boils down to
just doing good SEO. So, if you want to
give Surfer a try, click the link in the
description to start increasing your
organic search ROI today. Feel free to
check out my channel for more SEO tips.
And if you want to continue leveling up
your SEO knowledge, subscribe to the
Surfer Academy YouTube channel and check
out this video next. Happy ranking.

Neil Patel