More searches now get answered before anyone clicks a blue link. The answer appears inside an AI Overview, a ChatGPT response, or a Google AI Mode summary. If your brand isn’t part of the source material those answers are built from, you don’t lose a ranking. You lose the conversation entirely. AEO (Answer Engine Optimization) and AI Search is the discipline of making sure that doesn’t happen. It’s the program I run most often for clients right now.
A unified program, not a bolt-on tactic
Most “AI SEO” offers are a content checklist with a new label. That undersells what’s actually required. Getting cited by an AI model takes the same three things that have always driven visibility: content, authority, and proof, rebuilt for how language models actually select and cite sources. I run it as one connected program, not three separate vendors.
On-page optimization for extraction
Structuring content so AI models can lift it cleanly: direct answers up front, clear entity and schema markup, and the structural patterns that get pulled into an AI Overview instead of skipped past. This runs alongside, not instead of, the fundamentals covered in traditional SEO strategy.
Off-site brand signals
Models lean on the same trust signals search engines do: mentions, citations, and third-party validation across the web. Building that footprint deliberately, rather than hoping it accumulates, is what separates brands AI models recommend from brands they’ve simply indexed.
Proprietary AI visibility tracking
You can’t improve what you can’t see. I track which prompts surface your brand, where you’re cited versus where a competitor is cited instead, and how that shifts month over month. It’s the same rigor I’d apply to a competitive intelligence engagement, pointed at AI platforms specifically.
What you get
- A baseline audit of where you currently show up (or don’t) across AI Overviews, AI Mode, and chat assistants
- Content and schema updates built for citation, not just for ranking
- An off-site plan targeting the mentions and sources models actually pull from
- Monthly tracking of brand visibility and citation share against your real competitors
- A practitioner who reports in plain numbers, not vanity dashboards
Who this is for
This program works best for mid-market and enterprise brands, typically $30M+ in revenue and often Series B or later, that already have organic traction and can’t afford to watch it erode as answers move off the results page. You get senior strategic support without standing up a full in-house AI search team, and a practitioner who’s already done this work to tell you, honestly, what’s worth doing first.
FAQs
What is AEO (Answer Engine Optimization)?
AEO is the practice of structuring content, authority signals, and technical markup so AI systems (Google AI Overviews, AI Mode, ChatGPT, and similar tools) can find, trust, and cite your brand when answering a user’s question directly, often without a click to your site.
Is AEO different from traditional SEO?
They overlap heavily but aren’t identical. Traditional SEO optimizes for ranking in a list of links a human scans. AEO optimizes for being the source an AI model selects and cites in a single synthesized answer, which changes how content gets structured, how authority gets built, and what you measure as success.
How do you measure AI search visibility?
Through ongoing prompt tracking: running the questions your buyers actually ask through AI Overviews and chat assistants, then recording whether your brand is cited, how it’s described, and which competitors show up instead. That baseline is what every recommendation gets measured against.