Get Cited by ChatGPT, Perplexity, and AI Overviews
Google AI Overviews now show on roughly half of all searches, and ChatGPT and Perplexity answer millions of questions a day without sending a single click. If your content isn’t structured for AI to extract and cite, you’re going invisible in the channel growing fastest. I’ve restructured 2,000+ articles to be quotable by machines.
Why AI engines skip your content
No extractable answer
AI needs a clear, self-contained answer in the first two sentences of a section. Yours is buried in paragraph three.
Thin on entities
LLMs cite content packed with named entities: tools, people, prices, standards. ‘A popular plugin’ doesn’t get quoted. ‘Rank Math’ does.
Zero information gain
Models skip what’s already in their training data. If your page says what every competitor says, it’s invisible to them.
Flat structure
No semantic hierarchy, H2s that don’t map to subtopics. AI can’t pull structured answers out of a wall of text.
Missing schema
FAQ, HowTo, and Article schema are the signals AI systems lean on to understand and cite a page. Most sites ship none of it.
No tracking
You have no idea whether ChatGPT or Perplexity mentions you, so you can’t tell what’s working or what to fix next.
What I optimize
Your content gets rebuilt to be extractable, entity-rich, and citable, without losing the Google rankings you already have.
- Answer-first rewrites under every H2 so AI can lift a clean quote
- Entity enrichment: named tools, prices, metrics, and proper nouns
- Information-gain audit so each page says something competitors can’t
- FAQ, HowTo, and Article schema wired up correctly
- Semantic heading structure mapped to real subtopics
- On-page SEO kept intact for Google rankings
- Citation tracking across ChatGPT, Perplexity, and AI Overviews
- A prioritized fix list so the highest-impact pages get done first
What changes after
How GEO works here
Citation audit
I check what AI engines say about your topics today and where competitors are getting cited instead of you.
Content restructure
Answer-first rewrites, entity enrichment, and semantic hierarchy on your highest-value pages.
Schema & signals
FAQ, HowTo, and Article schema added and validated so machines parse your pages cleanly.
Track & iterate
We monitor AI citations, then keep optimizing the pages with the most upside.
What GEO optimizes that classic SEO misses
Generative Engine Optimization gets your brand cited inside ChatGPT, Perplexity, Google AI Overviews, and Gemini, not just ranked in the blue links. AI engines pick sources differently, and GEO structures your content so they choose you.
Answer-first structure
AI engines lift self-contained, answer-first passages. I restructure your content so each section leads with a clean, quotable answer that a model can cite without the surrounding page.
Entity and schema signals
Clear entities, consistent naming, and valid schema help models understand who you are and trust your content. I strengthen the signals that get a brand recognized and cited.
Citation-worthy data
Models favor original data, statistics, and named sources. I surface first-party numbers and structure them so your page becomes the thing AI engines quote as the authority.
AI search (GEO) questions, answered
What is AI search optimization, or GEO?
GEO, Generative Engine Optimization, is the practice of getting your content cited and recommended by AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini. Instead of only ranking a page, the goal is to become one of the sources the model quotes when it answers a question in your space.
How is GEO different from traditional SEO?
SEO optimizes for ranking a link in a results page; GEO optimizes for being the source an AI model cites in a generated answer. They overlap, clean structure and authority help both, but GEO leans harder on answer-first passages, entity clarity, original data, and being referenced across the web, since models weigh those differently than Google’s ten blue links.
How do you get a brand cited by ChatGPT or Perplexity?
By making your content the easiest, most trustworthy thing to quote: self-contained answer passages, clear entities and consistent naming, valid schema, original statistics, and citations to named sources. It also helps to be mentioned and linked across other reputable sites, since models draw on the wider web, not just your page.
Does schema markup help with AI search?
It helps. Schema won’t single-handedly get you cited, but it makes your entities, authorship, FAQs, and data machine-readable, which reduces ambiguity about what your page says and who stands behind it. Combined with answer-first content and real authority, it’s a meaningful signal in the AI-citation stack.
How do you measure AI search visibility?
By prompting the major engines with the questions your customers ask and tracking whether, and how, your brand appears, gets cited, or gets recommended over time. I benchmark against competitors, watch which pages get pulled, and refine the content the models keep skipping.
Does GEO replace Google SEO?
No, it extends it. Google still drives the majority of discovery, and AI Overviews sit inside Google itself. GEO is about not being invisible as more searches get answered by AI. The strongest setup optimizes for both at once, which is exactly how I structure the work.
Be the source AI quotes
Get your content restructured so ChatGPT, Perplexity, and AI Overviews cite you, while you keep ranking on Google.
Optimize for AI search →