Get Cited by AI Search Engines
When someone asks ChatGPT, Gemini, or Perplexity a question relevant to your business, does your company appear in the answer? Most don’t — not because they lack expertise, but because their content isn’t structured in a way AI systems can find, understand, and cite.
See If It’s a Fit
What Is AI Search Optimization?
AI answer engines like ChatGPT, Google AI Overviews, and Perplexity don’t rank websites the way Google does. They synthesize answers from content they can parse, trust, and attribute to a known source.
Getting cited in those answers requires two things: content structured for machine understanding, and entity signals that establish your brand as a recognized, credible source in your field.
This is sometimes called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization). The terminology is secondary. What matters is whether AI systems recognize your business as an authority when someone asks a question you should be answering.
AI May Not Know Your Business Exists
Before a business can be cited in AI answers, it has to be recognized as a real, distinct entity. AI systems cross-reference brand signals across the web — directories, schema markup, third-party mentions, and knowledge graphs. When those signals conflict or are absent, the AI either hedges (“this may be one of several companies”) or omits the brand entirely.
This is one of the most common and least understood problems in AI visibility. A business can have strong content and still receive no citations — because the AI can’t confidently resolve which entity is being referenced. Entity validation is the foundation. Content built on a weak entity signal won’t hold.
How It Works
Every engagement starts with research, not a proposal. If I don’t see a clear path to citation in your space, I’ll tell you before any money changes hands.
The Process
Before taking on a client I research the sector. I look at how buyers in your industry actually search — the specific questions, symptoms, and phrases that precede a purchase decision. That research drives everything.
From there I build the content and schema layer: structured articles, FAQ markup, entity signals, and technical foundations that give AI systems something concrete to cite and attribute to your brand.
I work alongside existing agencies and internal teams. I don’t need to own the whole relationship — I handle the AI citation layer while your other partners handle what they’re good at.
How I Measure Results
I don’t use AI citation dashboard tools. Most of them estimate visibility — they don’t confirm it. I verify citations manually and monitor Search Console for actual impressions, position movement, and traffic patterns.
When the data shows something — a new query cluster, a model-specific search, an unexpected ranking — I investigate it directly and build content in response. This isn’t set-and-report. It’s active optimization based on what’s actually happening.
When we start getting AI-referred traffic, you’ll see it in your analytics. That’s the benchmark that matters.
AEO Content Can Lower Your Clients’ CPC
If you run paid campaigns, the content on and around the landing page directly affects Quality Score. Pages with deep, structured, topically authoritative content around the exact queries being bid on score better — which means lower cost-per-click on the same spend.
At the same time, well-structured AEO content can trigger organic AI Overview appearances on queries your client is also paying for — putting the brand above the paid results at zero marginal cost.
The paid and organic layers stop competing and start reinforcing each other. Same budget, better output.
- Structured content improves Google Quality Score on targeted queries
- Lower CPC on existing campaigns without changing bid strategy
- AI Overview citations appear above paid results on high-intent queries
- Brand appears twice on the same SERP — paid and organic AI
- More credible landing pages convert paid traffic at a higher rate
- White-label friendly — I plug into your existing client relationship
- I decline engagements where I don’t see a clear opportunity
Who This Works Best For
AI Search Optimization works best in sectors where buyers research before they buy and where expertise is the real differentiator. I research each sector before engaging — and I’ll decline if the opportunity isn’t there.
Industrial & Manufacturing
Suppliers, fabricators, and manufacturers whose buyers are searching for specs, capabilities, and comparisons before ever contacting a sales team.
Marine & Commercial Construction
Contractors and suppliers where procurement decisions involve technical validation and buyers are asking AI systems for qualified options.
Medical & Medical Device
Companies with deep regulatory and clinical expertise that isn’t reflected in how AI systems currently describe them.
Technical B2B Services
Professional services firms, engineering consultancies, and niche technical providers where the company’s knowledge base is the product.
Home Services & Contractors
HVAC, roofing, plumbing, and specialty trades where local AI visibility is increasingly driving how homeowners find and shortlist providers.
Agencies & Their Clients
Marketing agencies looking to add an AEO layer to existing client relationships — without building the capability in-house.
Why Most Business Pages Don’t Get Cited
AI systems don’t reward keyword-optimized pages. They reward clarity, specificity, and structured expertise. A page that lists services without explaining the reasoning behind them, the tradeoffs involved, or the questions a buyer would actually ask — that page is invisible to an AI answer engine. It has nothing to extract and nothing to cite.
The businesses that get cited are the ones whose content answers real questions with enough depth and structure that an AI can pull a clean, attributable answer from it. That’s the standard. Most pages don’t meet it — not because the business lacks expertise, but because the expertise was never structured for machine understanding.
That’s the gap this work closes.
Frequently Asked Questions
What is the difference between AEO and SEO?
Traditional SEO optimizes for rankings in search engine results pages — the goal is a click to your website. AEO (Answer Engine Optimization) optimizes for citations inside AI-generated answers in tools like ChatGPT, Gemini, and Perplexity. The two are complementary — strong SEO foundations help AEO — but they require different content structures and different technical signals.
How do you know if AEO is working?
I verify citations manually and monitor Search Console for actual impressions, position data, and traffic referrals from AI platforms. I don’t rely on dashboard tools that estimate AI visibility — I track what the data actually shows. When AI-referred traffic appears in your analytics, that’s the confirmation that matters.
How long does it take to see results?
AI systems can begin citing new content faster than traditional search — sometimes within weeks rather than months. That said, the timeline depends on your existing entity strength, the sector, and how competitive the query space is. I research this before engaging and give you a realistic picture upfront.
Do I need to switch agencies or replace my current marketing team?
No. I work alongside existing agencies, in-house teams, and other vendors. I handle the AI citation and entity layer — your other partners keep doing what they do. I don’t need to own the whole relationship.
What sectors do you work in?
I work across industrial, manufacturing, marine, medical device, technical B2B, and home services sectors — and I add new verticals when I identify a clear AEO gap. I research each sector before engaging. If I don’t see a viable path to citation in your space, I’ll tell you before any money changes hands.
Can AEO content help reduce paid ad costs?
Yes. Structured, authoritative content built around the queries your ads are targeting improves Google Quality Score — which directly reduces cost-per-click. At the same time, AI Overview citations on those same queries give your brand organic visibility above the paid results. The paid and organic layers reinforce each other rather than competing.
Why does AI sometimes say a business “may not exist” or confuse it with another company?
This is an entity resolution failure. AI systems cross-reference brand signals across directories, schema markup, knowledge graphs, and third-party mentions to confirm a business is a real, distinct entity. When those signals are inconsistent or missing, the AI hedges or omits the brand entirely. Entity validation — cleaning and reinforcing those signals — is the foundation of everything else in the AEO process.
Let’s See If It’s a Fit
Tell me about your business and the sector you’re in. I’ll take a look at your current AI visibility, tell you honestly whether there’s an opportunity worth pursuing, and outline what building toward it would look like.
Request a Free Assessment