I help brands get found – and cited – by ChatGPT, Perplexity, Gemini, and Google's AI results. One pass, five checks, no guesswork.
A growing share of questions now get answered directly inside ChatGPT, Perplexity, Gemini, Copilot, and Google's AI Overviews – before the person ever sees a list of links to click through. That's a different competition than traditional search. Ranking #1 for a keyword doesn't help if the AI answering the question never quotes your page.
GEO (Generative Engine Optimization) is the practice of making your content the thing an AI actually reaches for – structured so it can be found, trusted, verified, and lifted directly into an answer. It doesn't replace SEO; it sits alongside it, because the same crawlers still need to find and index your pages before anything downstream can happen.
Most sites lose this game for reasons that are fixable in an afternoon once you know what to look for: vague marketing copy with nothing concrete to quote, headings written for keywords instead of the questions people actually ask, no clear signal of who's behind the content, and pages structured in a way that's easy for a person to skim but ambiguous for a machine to parse. That's what the five-lever framework below is built to catch.
Would an AI want to lift a sentence from this page and hand it directly to a user as the answer? Hedge-everything marketing copy gives it nothing clean to quote, so it skips your page for a competitor's that states the same fact plainly.
"We offer fast shipping" isn't citable. "Orders ship within 24 hours, Monday through Saturday" is.
AI assistants answer questions the way people actually phrase them out loud, not the way a keyword list phrases them. A page titled "Pricing" ranks fine in traditional search; a page that opens by directly answering "how much does this cost" is what gets pulled into a conversational answer.
Before citing a source, an AI needs some signal it can be trusted: a named author, real credentials, external validation, a track record. Anonymous, uncredited pages get passed over in favor of ones with a named expert or a sourced data point behind them – even when the underlying information is identical.
Adjectives like "industry-leading" and "world-class" carry zero factual content – an AI can't cite a feeling. Specific numbers, named products, dates, and measurable claims are what actually get lifted into an answer. The fix is almost always subtraction: cut the adjectives, keep the numbers.
An AI has to parse a page's structure before it can extract anything from it. Clean heading hierarchy, FAQ schema, and one clear topic per page make that parsing reliable. Structure isn't decoration – it's the difference between being readable by a machine and being ignored by one.
This is the same process whether the engagement is a single page review or an ongoing retainer – smaller engagements just move through fewer of the later phases.
Before touching content, I map what's actually there: crawlability, indexation, page inventory, and a technical baseline. You can't fix what hasn't been measured, whether the site is 20 pages or 2,000.
I check what AI assistants are currently saying about you, if anything, and who they're citing instead. This becomes the baseline every later phase gets measured against.
Pages that sit in isolation, with no clear links tying them to related content, read as low-authority to both search engines and AI systems. I map how pages should connect before touching a word of copy.
I identify what structured data is missing – Organization, Product, FAQ, Article – and package it as a copy-ready JSON-LD snippet your developer can drop in directly.
The core of the work: every page runs through the five-station review – scorecard, prioritized fixes, and rewritten on-page elements – whether it's one page or fifty.
Where competitors are being cited on topics you don't cover at all, I identify what's missing and draft a plan to close it – new pages or sections, not just edits to what already exists.
Ongoing tracking of how often you're mentioned, and cited, across AI assistants – so "is this working" has an actual number behind it instead of a guess.
Traditional rankings and organic traffic still matter and still get tracked. GEO doesn't replace that measurement, it sits alongside it.
Pages that were accurate a year ago quietly go stale – prices change, products get discontinued, competitors catch up. I run a recurring pass to catch decay before it costs you citations, and roll it all into a plain-English report, not a dashboard full of numbers with no explanation.
A full five-station pass on one page: scorecard, prioritized fixes split self-serve vs. dev, rewritten title/meta/H1/FAQ, and schema if it's needed.
Bundled page reviews plus the patterns across your whole site – what's broken everywhere, not just once, and what to fix first.
Continued reviews and AI-visibility tracking after the first project. Best started after a review or audit, not before.
I've spent over a decade in SEO and SEM – most recently building a full AI-visibility practice inside a B2B organization, from the ground up. Small Factory 5 is that same process, available to work with. No team to route through, no jargon to sit through. Just the work.
I write reports the way I'd want to receive them: direct, specific, and honest about what won't move the needle – not padded to look more thorough than it is.
GEO is the practice of structuring content so AI assistants – ChatGPT, Perplexity, Gemini, Copilot, and Google's AI-generated results – can find it, trust it, and cite it directly in an answer. It sits alongside traditional SEO rather than replacing it.
Traditional SEO optimizes for ranking in a list of links a person then clicks through. GEO optimizes for being the source an AI pulls from to answer a question directly, often without the person clicking to your site at all. The technical foundations overlap; the content requirements are more specific.
Traditional rankings typically move over weeks. AI citation behavior can shift faster, since assistants re-crawl and regenerate answers more frequently than search indexes update – but there's no guaranteed timeline for either, and I won't pretend otherwise.
No. The five-lever framework applies to how any AI engine evaluates any page, regardless of industry – it's a process, not a vertical specialty.
A URL, or a list of them. A full audit benefits from analytics or search console access if you're able to share it, but a single page review can run from the live page alone.
No sales call required to start – describe what you need, or just send a URL.