Marketing 1on1 helps businesses increase visibility of their brands, products, and services across some of the top AI search, answer, and recommendation platforms by utilizing our AI SEO, AEO, GEO, and LLMO services. We help businesses increase their visibility on Google AI Overviews and other AI-powered discovery experiences like ChatGPT, Gemini, Perplexity and Copilot. We focus on your website, content, brand signals, entity relationships, and off-site authority to help breakdown the barrier search engines and AI systems have in understanding your business, product, service offerings, your location, and why you are the most relevant and credible answer to your target customers’ questions.

Let’s Call These Acronyms What They Are

The labels AEO, GEO, AIO, LLMO were invented for marketing purposes. They were created to package a legitimate shift in search behavior into sellable, differentiated service offerings. There’s no evil intent behind that. The problem is businesses think they need a new approach, a new vendor, and new content to “optimize for AI.”

They don’t.

LLMO and GEO became popular when ChatGPT and other AI tools began to be used by the public. Since large language models (LLMs) draw and synthesize information in different ways from traditional search engines, people argue there needs to be a new optimization framework. That’s partially true. But “partially true” is doing a lot of heavy lifting there, because the foundation is identical.

Good SEO is AEO. Writing concise, authoritative content in an organized and structured way to provide detailed answers is what Google has been rewarding for years. Before any of us referred to it as AEO, Google’s featured snippets, “People also ask,” and Knowledge Panels were all answer engine optimization. The name is new, but the practice is not.

AI Results And Answers Are Not Static; They Are Dynamic

AI-generated overviews and answers that appear in search results are not fixed responses stored in a database. Instead, they represent dynamic, ever-changing content that shifts based on multiple factors and real-time data processing. When you search for information and receive an AI-generated overview, the answer you see today might differ significantly from what appears tomorrow or even hours later. This variability stems from the fundamental architecture of AI systems’ response generation. Rather than pulling from a static repository of pre-written answers, these systems actively synthesize information each time a query is processed.

AI overviews typically aggregate and synthesize information from approximately the top 20 search results across Google and other major search engines. This process involves scanning these high-ranking pages, extracting relevant information, and combining it into a coherent response. The AI doesn’t simply copy and paste; it analyzes patterns, identifies key facts, and reformulates the information into a unified answer.

The selection of source material changes constantly as search engine rankings fluctuate. Websites move up and down in search results based on algorithm updates, new content publication, changing user behavior patterns, and competitive dynamics. As these rankings shift, the pool of information that AI systems draw from evolves accordingly. The user’s geographic location, search history, and the time of the query also influence both the search results that feed into AI systems and how these systems prioritize certain information over others. This personalization layer adds another dimension of variability to AI-generated responses.

The Reality of Ranking in AI Overviews: What Actually Works

AI overviews don’t simply scan the internet anew for each query. They rely on established trust signals to determine which sources deserve citation. The truth that many AI SEO agencies won’t tell you is twofold:

First, your content must already rank within the top 20 organic results before AI overviews will even consider ranking you and displaying your website as a source. This baseline requirement serves as the initial threshold for consideration.

Second, and perhaps more crucial, AI places heavy weight on external validation signals when evaluating content’s worthiness. Brand mentions across the web, authoritative backlinks, and citations from sources that AI overviews already trust create a web of credibility that algorithms recognize.

How LLMs Actually Retrieve Information

To understand why SEO remains critical to everything, you need to understand how large language models actually fetch information in real-time applications.

Most AI systems, including Google’s AI Overviews, Bing Copilot, Perplexity, and retrieval-augmented versions of ChatGPT, do not pull exclusively from their training data. They perform what’s called query fan-out: the model takes your question, breaks it into multiple related sub-queries, fans those queries out across search indexes (primarily Google), retrieves content from the top-ranking results, and synthesizes an answer from those sources.

Here’s the critical point that most “LLMO” service providers won’t tell you: if your content isn’t indexed and ranking well on Google, it doesn’t exist to these systems. The AI isn’t rummaging through the entire internet independently. It’s largely retrieving what Google has already deemed authoritative enough to rank.

Perplexity uses Bing and other web indexes alongside its own crawlers. Bing Copilot is built on Microsoft’s search infrastructure. Google’s AI Overviews draw from Google’s own index. The common thread is that search engine indexing, particularly Google’s, serves as the gateway before AI retrieval even enters the picture.

This means LLMO, at its technical core, begins with the same work: getting indexed, earning rankings, and building authority.

How LLMs Process Your Questions Before Retrieving Anything

There’s another layer here that’s worth understanding if you want your content to perform well in AI-generated answers.

When a user submits a prompt to an AI system, the model tokenizes the input. Tokenization is the process of breaking language into smaller units (words, subwords, characters) that the model can process mathematically. But beyond tokenization, modern LLMs also perform semantic compression: they strip the phrasing, filler words, and conversational noise from the query to identify the underlying informational intent.

If someone asks “hey so I’ve been wondering, what’s actually the best way to do SEO for a small business?”, the model isn’t searching for that exact string. It’s identifying the core intent: small business SEO strategy. It’s then generating related queries, what Google has long described as query expansion, and retrieving results that match the underlying need rather than the surface wording.

This is precisely why keyword stuffing has always been a dead-end strategy and is even more so now. AI systems are designed to understand what content is about, not just what words appear in it. Writing content that genuinely addresses a topic with depth and precision is what clears the threshold for both Google rankings and AI citation.

Why Most “AI SEO Optimization” Services Fall Short

The market has become flooded with overnight experts claiming to offer specialized AI optimization services. Many of these are simply repackaged basic SEO strategies with a trendy AI label attached.

These services typically focus only on on-page factors – tweaking headers, adjusting keyword density, or restructuring content. While these elements matter, they completely overlook the external validation components that truly influence the inclusion of AI overview.

The Path to AI Mentions and Citations Runs Through Google

We want to be direct about something that a lot of agencies marketing “AI optimization” services are quiet about.

To be cited by an LLM in a real-time answer, you need to be:

1. Indexed by Google (and ideally Bing)
2. Ranking with enough authority that retrieval systems consider your domain a credible source
3. Structured clearly enough that AI can extract a discrete, quotable answer from your content
4. Cited or referenced by other authoritative sources across the web

Steps one and two are traditional SEO. Step three is what good content strategy has always required. Step four is link building and digital PR.

There is no shortcut from “unranked website” to “AI-cited source.” The AI systems aren’t democratizing visibility in the way some vendors suggest. If anything, they’re concentrating it. When an AI Overviews panel appears at the top of Google’s results, it draws on a small set of highly trusted sources. The barrier to appearing in those sources is higher than the barrier to appearing on page one, not lower.

Brands that earn AI citations consistently share common characteristics: strong domain authority, a substantial backlink profile from relevant, reputable sites, clear topical expertise demonstrated across many pages of content, and structured data that helps search engines and AI systems understand their content at a categorical level.

The Hidden Power of Local Citations in AI Local SEO

When someone searches for “best plumber near me” or “coffee shop downtown,” AI doesn’t just provide links anymore; it delivers immediate answers through featured panels and overview sections. These AI-generated overviews draw on what search engines consider the most authoritative sources of local business data.

Your business isn’t just competing for a blue link anymore. It’s competing to be one of the few businesses AI deems worthy of featuring front and center in these special results sections.

The emotional impact of being excluded from these AI overviews can be devastating. Imagine watching competitors capture immediate attention while potential customers need to scroll past the AI overview, maps, and several ads before they even see your organic listing. By the time they reach your business, many have already made their decision.

Not all citations carry equal weight in AI’s evaluation systems. Research indicates that AI overviews prioritize information from:

1. Google Business Profile (formerly Google My Business)
2. Yelp
3. Facebook Business pages
4. Industry-specific directories (like OpenTable for restaurants)
5. Local chamber of commerce listings
6. Better Business Bureau profiles
7. Local news mentions and quality backlinks

What AI SEO We Actually Do at Marketing 1on1

We’re not going to tell you we’ve cracked some proprietary AI algorithm that other agencies don’t know about. We’d rather earn your trust by being straight with you.

What we do is build the kind of digital presence that performs across every surface, whether that’s a traditional search result, a Google AI Overview, a Perplexity answer, or a ChatGPT response. That means:

• Technical SEO foundation: Your site needs to be indexable, fast, and structured correctly before anything else matters. Crawl errors, thin content, and poor internal linking architecture all prevent indexing, which is a prerequisite for everything downstream.
• Topical authority development: We build content strategies designed to establish genuine expertise in your subject area, not just to rank for isolated keywords. When AI systems evaluate whether your site is an authoritative source on a topic, breadth and depth of coverage matter. A site with fifteen deeply useful pages on one subject will outperform a site with a hundred shallow pages every time.
• Structured content design: AI systems prefer content that includes clear, extractable answers; such content should use proper heading structures, explicitly define any terms, include direct statements of fact, and avoid fluff that makes it difficult for a model to identify a claim that can be cited.
• Link acquisition and brand authority: We pursue backlinks and brand mentions through legitimate, sustainable methods: digital PR, expert contributions, content partnerships, and by building genuinely useful resources that other sites want to reference.

Real Results in an Evolving Landscape

When businesses partner with Marketing 1on1, they experience tangible improvements in digital visibility that extend beyond traditional metrics:

• Increased appearance frequency within AI overviews for industry-relevant queries
• Enhanced brand authority as measured by independent trust metrics
• Improved conventional rankings that serve as the foundation for AI inclusion
• Greater referral traffic from high-authority sources

Making Informed Decisions in the AI Era

When agencies lead with “LLMO” or “GEO” as distinct service lines, they create the impression that traditional SEO is no longer relevant, or that a quick, specialized campaign can generate AI visibility without the underlying work. Some clients have spent money on “AI optimization” retainers that amounted to minor schema tweaks and additions to FAQ sections on otherwise thin, unranked websites. Unsurprisingly, they didn’t appear in AI Overviews.

The confusion is costly, not just financially. It leads businesses to skip the foundational work in favor of something that sounds more cutting-edge, and then conclude that “AI SEO doesn’t work” when they see no results. The strategy didn’t fail because AI citation is impossible. It failed because the prerequisites weren’t met.

We think the industry would serve clients better by being clearer: AI visibility is earned SEO visibility. The content, authority, and trust signals required to appear in AI-generated answers are the same signals that produce strong organic search rankings. The execution is holistic, not modular.

Marketing 1on1 stands apart from opportunistic service providers by demonstrating a clear understanding of the interconnection between traditional search signals and AI citation patterns. Our clients benefit from strategies built on principles rather than promises.

The Bottom Line

AI SEO, AEO, GEO, AIO, and LLMO are different names for an evolved version of the same discipline. The underlying mechanisms of AI retrieval run through Google and the major search indexes. LLMs strip queries down to their essential intent and retrieve from ranked, indexed, authoritative sources. Backlinks and brand mentions remain the foundational authority signals that determine whether any of this is even possible for a given domain.

If someone is selling you “LLMO” as something categorically separate from SEO, ask them to explain the retrieval mechanism. Ask them what happens to content that isn’t indexed. Ask them whether a site with no backlinks and no domain authority can appear in AI-generated answers.

The honest answer to that last question is almost never.

At Marketing 1on1, we build the kind of digital authority that earns visibility across every surface, because there’s only one kind of authority worth building: the real kind.

Search and AI are not two separate channels that require two separate strategies. They’re converging into a single ecosystem where authority, relevance, and trustworthiness determine who gets found, regardless of whether the user is reading a search results page or asking an AI assistant a question.

The businesses that will dominate AI-assisted discovery over the next few years are the ones building genuine topical authority now, earning real links from credible sources, producing content that answers real questions thoroughly, and giving search engines and AI systems every structural signal that helps them understand and trust the content.

We’ve been building exactly this kind of presence for our clients for years. The acronyms have changed. The work hasn’t.