GEO Services

Want to see where your brand is on the
AI Search Readiness Scale?

Want to see where your brand is on the AI Search Readiness Scale?

Marketing isn’t what it used to be. AI is changing how brands are found, forcing organizations to alter their strategies.

But this change is actually good news, because ambiguity creates opportunity. Brands that take a few risks right now will be the trusted answer when their ideal buyers ask an AI model for help.

And wherever you’re starting from is okay. You don’t need a fully-formed AI strategy walking in the door. You just need to start where you are, and we can help you figure out the rest.

What is GEO

and How Does it Differ From SEO?

Marketers have spent years learning and mastering SEO, but now GEO has been added to the mix, making things a little confusing. 

In a nutshell, GEO (Generative Engine Optimization) is the strategy for optimizing your website and content for visibility in AI Search.

We’ve found that it differs from SEO in these areas:

RETRIEVAL:

The model searches across a huge range of content to find passages that might answer the question.

CHUNKING:

Your page isn’t read as one long piece. It’s broken into smaller chunks, and each chunk is judged on its own for how well it answers a specific question.

CITATION SELECTION:

From everything retrieved, the model chooses which sources to actually cite or draw from in its answer, and that choice is based on trust signals, clarity, and depth, not rankings.

No matter your stage of growth,
there is a GEO strategy that can work for your brand:

//.emerging_stage

EMERGING

FOR START-UPS AND NEW BRANDS that are just beginning to understand AI Search, your needs could look like this:

  • Prioritization and structure
  • AI Search visibility baseline
  • Foundational prompt and topic strategy
  • Content gaps

//.growth_stage

GROWTH

FOR MID-MARKET AND CHALLENGER BRANDS with some internal resources and buy-in, your needs could look like this:

  • Competitive analysis and keyword portfolio
  • Omnimedia content audit and plan
  • AI Search measurement framework
  • Execution support

//.elite_stage

ELITE

FOR FORTUNE 500S AND CATEGORY LEADERS with multiple lines of business and global offices, your needs could look like this:

  • Cross-platform visibility measurement
  • Content engineering and digital PR
  • Cross-functional coordination
  • Executive reporting tied to revenue

Omnimedia Strategy

Visibility doesn’t stop at your website anymore. AI models pull from everywhere: press coverage, forums, review sites, video, social conversation. We call this omnimedia content, and it means your visibility strategy has to think past your own pages and into the wider ecosystem where your brand gets talked about.

Attribution

Visibility means nothing if you can’t tie it back to the business. Attribution is part of the work from day one connecting citations and AI referral traffic back to real engagement, leads, and revenue, so what you tell your leadership team is grounded in something real. This can be a challenge these days, but we can help you sort it all out.

Brand Importance

GEO is a brand channel in many ways, so being the recommended brand, service, or product is just as important as citations and traffic. Brand sentiment and recommendations can have a huge impact on your visibility, so how your business is talked about online needs to be closely monitored. Also, the output of LLMs is probabilistic, meaning the answers you receive can be different every time. You need to know that the input metrics, channel metrics, and performance metrics all show that you’re improving over time.

What’s the Difference Between
GEO and AEO?

Nothing, don’t worry. They’re the same thing, just with different names.

Relevance Engineering and
Resonance Design

Ranking well and being cited well aren’t the same skill anymore, so you shouldn’t be treating them like they are. You’re creating content for both humans and robots these days.

When we say relevance, we don’t mean one keyword or one snippet. We mean everything: 

AI and human understanding aren’t in competition, but they do require different care. And you shouldn’t have to try and figure this all out yourself. That’s what we’re here for.

That's a lot to consider, which is why we think of it as two disciplines working side by side:

Relevance
Engineering

is the science

The structure, the data, the technical groundwork that makes your content legible to AI systems.

Resonance
Design

is the art

The human side, making sure that structure never comes at the cost of a real reader connecting with what you’ve written.

Find out where your business falls on the AI Search Readiness Scale:

The Metrics That Tell the Story Now

Traffic isn’t the full story anymore thanks to AI, and leadership needs measurement that reflects that. Here’s just some of the new metrics we track:

You don’t need to become fluent in any of these metrics yourself. You just need to know that someone is watching them closely on your behalf, and telling you what they mean for the business.

Information Gain and
Entity Density:

How much genuinely new, specific understanding your content adds.

Cosine Similarity:
How semantically distinct (or aligned) your content is compared to what's already ranking.

Fan-Out Coverage:
How well you cover the full spread of related questions a model might branch into.

Explanatory Power Index:
How efficiently your content actually explains the topic you’re writing about.

Citation Frequency and AI
Referral Traffic:

Entity How often you're showing up inside AI answers, and how much of your traffic is coming from those platforms now.

Benchmarking:
Where you stand against competitors on all of the above, tracked over time.

Why US

No one has fully figured out GEO yet. Anyone who tells you otherwise is selling you certainty that doesn’t exist right now. What we can tell you honestly is how we’re navigating it and what’s worked for our clients so far.

Our approach is human-led and AI-powered with people making the calls, informed by systems that can process more than any person could alone.

We’ve helped generate real, measurable revenue for the businesses we work with, and iPullRank has landed on the Inc. 5000 list of fastest-growing brands. But the honest answer to “why us” is simpler than any of that: we’ve been paying attention to this shift longer than most, and we’d genuinely like to help you figure it out.

We organize the work in three stages:

01.

Assess

Understand where you stand today, across search and AI visibility.

02.

Prioritize

Figure out what moves the needle for your specific business, because this isn’t one-size-fits-all, and it’s never just one thing.

03.

Activate

Put the work into motion, across content, technical, and measurement, together.

What’s Next

From here, the next step is simple: we listen. We’ll talk through what you’re hearing from your own team and customers, look at what the data actually says, and bring the two together into a clear picture of where the opportunity is. 

From there, we’ll put together a recommended path forward with the specific deliverables we think will move things forward for your brand. We can also guide you through building an internal GEO program so you can execute in-house as your business grows. 

Let us help you ensure both humans and AI are finding your brand everywhere.