AI search visibility
Generative Engine Optimization


Some of the 500+ brands we've worked with
See all referencesCapabilities
The six capabilities behind AI search visibility
The tag on each card shows when that work enters an engagement. Pick the one closest to your current gap.

DiscoverGEO Strategy & AI Search AuditWe choose the questions worth tracking and establish where your brand appears today. The cited sources show us which gaps deserve a closer look.See the capability 
BuildTechnical AI Search OptimizationWe check direct crawler access, render behavior, and what the system can extract from the page your visitors see. A robots.txt file tells only part of that story.See the capability 
BuildAI Citation Content OptimizationThe page answers an important question directly, keeping supporting claims and sources close enough for the passage to make sense when a system retrieves it on its own.See the capability 
BuildEntity & Knowledge Graph OptimizationWe reconcile the facts that identify your brand and its relationships. Your site and the external records that repeat those facts need to agree.See the capability 
BuildAI Search Authority & Citation StrategyWe map the publications, profiles, reviews, and expert sources appearing beside answers in your market. Your team can then judge which missing sources are worth pursuing.See the capability 
OperateAI Visibility Monitoring & Answer AccuracyA versioned prompt sample shows how mentions and citations change. The report keeps the sample's limits visible beside the findings.See the capability Not sure what to call it?
Searching for AI SEO, AEO, or LLM SEO? Start here
Choose the language that brought you here. Each path connects to the same GEO capability system.

AI Search Optimization Services (AI SEO)Start here if your team calls the work AI SEO. The page separates visibility inside AI answers from the use of AI in conventional SEO, then points each issue to the service that owns it.Take a look 
Answer Engine Optimization (AEO) ServicesAEO asks whether a supported answer can still be found and understood away from the full page. Ownership may sit with content, technical, entity, or measurement specialists, depending on the evidence.Take a look 
LLM SEO & LLM OptimizationLLM SEO deals with web inputs a model may retrieve. The relevant specialists still own the technical, content, entity, and authority work. None of this can change model weights or force an answer.Take a look 
ChatGPT Visibility & OptimizationChatGPT needs a test setup that records browsing state and citation behavior. Much of the strategy and supporting work can still serve other platforms, including content, authority, and measurement.Take a look The working definition
What GEO covers
GEO improves the accuracy of brand mentions and citations inside AI-generated answers, including how the answer represents your brand. SEO works with a ranked list of links. GEO also checks whether cited sources support what the answer says.
The change is already visible to buyers. More questions end with an answer and no click, and that answer may name only a few brands. GEO aims to earn a place among them while keeping a record of what changed.
One way to describe this is a shift from link-based retrieval to synthesis, where the system writes the answer directly. The same behavior can be framed through the “Principle of Least Effort”.
What we examine
The main parts of a GEO strategy
An AI system may draw on several parts of your web presence for one answer. We examine the content that resolves the question, the sources a model may trust, and whether its crawlers can reach and read the page.
A published GEO benchmark reported visibility gains of up to 40% for selected tactics in its own evaluation. We use that finding as research input. It isn't a forecast or guarantee. Production work still needs a brand-specific baseline, controlled testing, and human review.
Our approach
GEO strategy
The recommendations begin with evidence.
We start by recording how often the brand appears in AI answers and which competitors receive citations for the same questions.
That baseline shows where the gaps are. We then decide which questions matter to your buyers and deserve a test.
The page work follows. We bring the useful answer forward and add schema markup when it removes ambiguity. We also check direct access for AI crawlers such as GPTBot and ClaudeBot.
After the changes go live, we keep tracking citation gaps, sentiment, and accuracy. The picture can move as models update and competitors publish.


Inside a GEO engagement
GEO adds a measurement layer to the keyword strategy you already use. Together, we agree on a versioned question set and how it will be measured. We check `robots.txt` and test direct crawler access before prioritizing changes that make the brand's facts easier to find and understand. The model still decides which sources it selects or cites. The first benchmark shows which questions cite competitors today. Those results tell us where an initial test is worth the effort.
Discover
We establish the current AI-search baseline and map the gaps. This review also covers entity and schema setup, along with direct checks of AI crawler access.
Build
We put the direct answer and its sources in place first. Then we tighten the supporting schema and, where relevant, connect real-time feeds or prepare the systems behind them.
Operate
As AI search products change, we keep the schema current and report on visibility reach, sentiment, and citation gaps.
Clients on the work
What it is like to work with Zeo
Our clients describe the work in their own words.
Client work
Case Studies
Sites that had to stay findable while search results changed shape. The work behind the visibility numbers.
The people leading this work
Zeo has worked with more than 500 brands since the agency started in 2011, across six practices. Below are the leads for the one this page belongs to.
Tools we use
What we watch AI answers with
Generative search leaves less to read than a rankings report does, so most of this work is assembling evidence from tools that were never built for it.
AI answer and citation tracking
- ProfoundThe hub's opening claim, that an AI answer may mention a brand or cite a competitor while missing published evidence, is the exact gap Profound's Answer Engine Insights module records across ChatGPT, Gemini, Perplexity, and AI Overviews. It anchors the family-wide baseline that every capability below narrows into a specific method.
- AhrefsWhere a claim needs a second, independent read on AI Overview presence, not only a purpose-built platform's number, Ahrefs' Brand Radar supplies it from data the team already holds for organic work, which is useful for the hub-level sanity check before a capability team commits to a deeper audit.
- SimilarwebWhen a program needs to show that AI visibility work is moving actual visits, not just mentions, Similarweb's AI referral segmentation is the source the hub-level reporting draws on, distinct from the citation and mention tracking that Profound and Ahrefs Brand Radar cover.
Entity and structured data
- Schema AppThe hub FAQ directly asks which role schema markup plays in GEO; Schema App is where that markup gets authored, connected into an entity graph, and monitored for coverage, which is the family-wide answer this hub gives before Entity & Knowledge Graph Optimization and Technical AI Search Optimization each take a narrower piece of it.
- Screaming FrogBefore any capability-level engagement starts, a Screaming Frog crawl establishes what the site's raw HTML actually exposes, since several FAQ answers on this hub and its children turn on that exact distinction between rendered and extracted content.
- Google Search ConsoleSearch Console's index coverage and URL inspection reports are the reference point the technical capability compares an AI crawler's behavior against, since a page that Googlebot indexes cleanly but an AI crawler cannot parse is a different, narrower problem than a page neither can reach.
Content evidence and sourcing
- Surfer SEOAI Citation Content Optimization and its inner-task pages lean on Surfer during drafting to check a passage's structure and coverage against pages that already earn citations, which is the content-side counterpart to the technical checks above.
- Muck RackAI Search Authority & Citation Strategy's earned-media work starts here: Muck Rack's current-coverage view is what keeps a digital-PR brief aimed at a reporter who genuinely covers the topic today, since a stale media list produces pitches AI-cited sources never actually needed.
The work around GEO
Search, content, and analytics specialists stay involved where their ownership begins. We agree those handoffs before delivery starts.
Next step
Evaluate your visibility in AI search


Before the work begins





































