Answer Engine Optimization (AEO)
Increase your brand’s visibility in AI search and get recommended by LLMs.
“We’re seeing LLM traffic convert at 30% versus 5% for traditional SEO. It started as paranoia; we were just trying to make sure we weren’t losing traffic. But now it’s a core part of our strategy.”
Eric HannSVP of Go-to-Market at Order.co
Source: Stage 2 Capital
Trusted by ambitious B2B brands
The shortlist is being built before the click.
Your buyers are asking ChatGPT, Claude, and Gemini which vendors to consider, how products compare, and who is best suited to solve their problems.
Those answers shape the buying process long before someone fills out a form — and often without generating a click at all.
Answer Engine Optimization (AEO) is how you increase the likelihood that your brand gets discovered, accurately represented, cited, and recommended in those conversations.
The goal isn’t visibility for visibility’s sake. It’s to make sure you’re part of the consideration set when buyers are deciding who deserves a closer look.
AI visibility is downstream of your market presence.
You don’t become the answer by adding schema to a few pages for LLMs.
AI platforms form an understanding of your brand from signals across the web: what you say about yourself, what others say about you, where you’re mentioned, how you compare to competitors, and whether credible sources reinforce your position.
That means AEO is bigger than content optimization.
We start with the questions buyers actually ask, identify the sources and signals shaping those answers, and build the authority, relevance, and market presence required to earn consideration.
The goal isn’t simply to get cited. It’s to become a brand AI platforms have reason to recommend.
Our AEO Methodology
AEO isn’t about chasing citations or optimizing for a static list of prompts. We build systems and software around how your market actually researches, evaluates, and chooses.
1. Model real buyer demand
Prompt tracking is only useful if the prompts represent how your market buys.
We combine voice-of-customer research, sales conversations, search behavior, competitive intelligence, and category research to understand the questions buyers ask throughout the decision journey.
Then we turn that demand into a living model of the topics, comparisons, problems, market segments, categories, and buying criteria your brand needs to own.
2. Win the consideration set
Visibility means little if you’re present for informational questions but absent when buyers are choosing vendors.
We prioritize the prompts and search journeys that shape commercial consideration: category searches, product comparisons, alternatives, use cases, pain points, jobs to be done, and buying criteria.
Then we build the content and experiences that give search engines and AI platforms a compelling reason to include your brand.
3. Shape the sources that shape the answer
We identify the publishers, review platforms, communities, comparison pages, industry sources, and other signals influencing the answers your buyers receive — then develop strategies to strengthen your presence across that ecosystem.
That can include original research, digital PR, expert contributions, third party mentions, strategic content, and authority building.
4. Measure influence against pipeline
A citation isn’t a business outcome.
We measure visibility and recommendation patterns across the prompt clusters that matter, then connect those signals to buyer behavior using web analytics, self reported attribution, CRM data, and qualitative customer research.
The objective is to understand not simply whether AI mentions you, but whether increased visibility is helping create consideration, demand, and pipeline.
Technical AEO foundations
Underneath it all, we make sure your content can actually be discovered and understood: agentic readiness, crawlability, information architecture, structured content, internal linking, semantic markup, and technical SEO.
AEO experiments
AEO is evolving too quickly for static best practices.
We allocate part of every program to structured experimentation, from creator-led research distribution and citation studies to on-page AEO tests around content structure, original data, and answer formats.
Our R&D team runs these experiments across our own properties and alongside clients, separating what actually moves the needle on visibility, consideration, and pipeline from what is simply noise.
The result: our clients don’t just adopt AEO best practices. They are trailblazers that help us discover what comes next.
Results clients have seen
CASE STUDY
OnBoard achieves #1 AI share of voice and turns visibility into qualified meetings
CASE STUDY
AI Security company increases AI visibility 25% and unseats incumbents in organic
Inside an Omniscient AEO Engagement
Buyer demand and prompt modeling
We implement software that ingests voice of customer and market data to build a demand model around the questions, comparisons, pain points, and buying criteria your customers use — not just a generic list of prompts.
Market and visibility baseline
We map where (and how) your brand appears today across the prompts, categories, competitors, market segments, and sources that influence buyer consideration.
Competitive and source intelligence
We identify which competitors are winning visibility, which sources are shaping AI answers, and where the biggest gaps and opportunities exist.
Technical and content foundations
We assess whether your site, content, architecture, and technical setup give search engines and AI platforms the right signals to understand and retrieve your brand.
AEO strategy and roadmap
We turn the research into a prioritized plan across owned content, third party visibility, authority building, technical improvements, and distribution.
Execution
We help produce and optimize content, strengthen brand mentions, earn third party validation, improve technical foundations, and close the gaps that move the needle.
Measurement and iteration
We monitor visibility, recommendation patterns, messaging and positioning gaps and inaccuracies, citation sources, competitive movement, and downstream pipeline signals — then use those insights to continuously refine the program.
Built for marketing teams that need AI visibility to drive business results
For CMOs, VPs of Marketing, and SEO and Growth leaders who:
- Need organic to influence pipeline, not just generate traffic
- Know buyers are using AI to research, compare, and shortlist vendors and are past the “pilot” phase of AEO
- Want to understand where their brand is being recommended and where competitors are winning instead
- Need a rigorous way to prioritize the prompts, topics, and sources that move the needle
- Believe the best AEO programs will be built through experimentation, not copied from someone else’s playbook
- Want a partner that will test, learn, and build new approaches alongside them
- Need a team that can move from research and strategy into execution
Find out where you’re missing from the consideration set and what it will take to change that.
Win the consideration set.
Find out where your brand is being discovered, recommended, and overlooked across AI search and what it will take to become part of the answer.
Let’s work together
We help ambitious B2B brands turn content, SEO, and AI search into growth channels. Let’s do the same for you.
Full-service engagements start at $10,000 a month.
