Forget Google Rankings. Get Cited by ChatGPT and Claude Instead.
Build one quotable answer a week and check whether AI models cite it two days later.

On this page
You can't afford the old SEO math. Not right now.
The traditional version goes like this: hire a writer, build a backlink strategy, publish consistently, wait six to eight months for Google to decide your site is worth trusting, and then maybe you start ranking for something. It's a factory model, built for teams with content headcount and a long runway to treat distribution as infrastructure.
You probably don't have any of that. And even if you did, there's a bigger problem: Google isn't the only index that matters anymore, and the new one runs on a different clock.
People are asking questions in chat windows now. Claude, ChatGPT, Perplexity, Gemini. They're typing the same questions they used to type into Google, and the models are answering directly. When a model answers, it cites sources, it quotes, it sends people your way already half-convinced, because the model did the screening before your page ever showed up.
Here's the shift in one sentence: the new index refreshes in days, not months, so you can publish a well-structured page on Tuesday and get quoted back to a stranger by Thursday. That's the actual cycle time now.
Why AI models cite some pages and skip others
Google ranked on backlinks, domain age, and keyword density, signals that took months to build up. That's why the old wait existed. The AI index ranks on something else entirely: quotability.
Quotability is how easily a sentence can be lifted out of your page, dropped into someone else's answer, and still make complete sense on its own. That's the whole game now. A model generating a response needs specific things to grab: a clean, definitive sentence it can lift without mangling the meaning, a number with a source attached, a named framework that gives its answer some shape, or a short list of steps it can reproduce.
What gets skipped: walls of prose written for a crawler, vague paragraphs that gesture at an idea without landing on one, and posts that take 400 words to say what could be said in 40.
This connects to something researchers now call extractability: AI tools pull short, self-contained passages out of pages, so each section of your writing needs to work as a standalone answer. If someone yanked just that one paragraph out with no other context, would it still make sense and still be true? That's the bar.
One sentence with a precise claim and a clear source beats ten paragraphs of hedged, on-the-one-hand writing. Every time.
Say you sell a small workflow tool, and you describe your ideal customer as "a solo operator drowning in busywork their process can't keep up with." That's quotable: specific, it makes a claim, it draws a line. A model answering a question about defining your ideal customer would use that line. A vague paragraph explaining what "ideal customer" means in general wouldn't get touched, because the model already knows what that phrase means. It's hunting for the line, not the definition.

How to check whether you're actually being cited
The old SEO feedback loop was brutal: publish in January, check rankings in March, and if nothing moved you had no idea whether the problem was your content, your links, your keywords, or Google just being slow.
The new feedback loop takes about 48 hours, and the dashboard is free. Here's how you run your own ranking report:
- Open Claude, ChatGPT, or Perplexity. Use all three if you want full coverage.
- Type the exact question your ideal customer would actually ask. Not a keyword, a real question. "What's the fastest way to cut churn in a small subscription business?" or "How should a two-person team structure their first sales process?"
- Read the response. Notice who gets cited, what gets quoted.
- Look at what made that content quotable. Usually it's a specific number, a named framework, or a clean definition the model could lift straight out.
- Now ask: is your content in that answer? Your competitor's? Some old forum thread nobody's touched in three years?
That last one happens more than you'd think, and it's useful when it does. When a random forum post outranks your polished content, it's because that thread gave a specific, firsthand answer to a real question, and yours gave the model optimized paragraph structure instead of an actual answer.
One founder running this check found a Stack Overflow answer getting cited every time they asked about their core use case. The answer had a code example, one sentence explaining why it worked, and a pile of upvotes from people who'd actually tried it. That's quotability in its purest form. They rewrote their own docs to match that shape: a direct answer up front, one clear reason it works, done. Within a week, they were the one getting cited.

The practice: one afternoon a week
This isn't a campaign. It's a weekly habit with a two-day feedback cycle.
Step 1: pick one question per week. Pull it from actual conversations with customers or prospects, not a keyword tool. What does someone ask you in the first ten minutes of a call? "How's this different from [competitor]?" "What should I expect in the first 90 days?" Those are your prompts.
Step 2: write one page that answers it the way a model wants. The shape that gets cited: a clear definition or claim in the first paragraph, a numbered list or named framework in the body, at least one specific number with context, and a closing line someone would screenshot.
Length doesn't matter here. 400 words with three quotable elements beats 2,000 words of padded prose. Write the sharp line first. Build the rest of the page around it.
Step 3: publish it somewhere crawlable. This matters more than it sounds. None of this works if a page can't actually be read by an AI bot: don't block it in robots.txt, don't hide the content behind JavaScript that only renders after a click, don't put it behind a login wall. Your own site, a Substack post, a LinkedIn article, a well-written README, all get crawled fine as long as they're reachable. You don't need a decade of domain trust. You need a page a model can read and a line it wants to use.
While you're at it, add an llms.txt file to your site if you haven't already: a short plain-text index at your root domain, similar in spirit to a sitemap but written for AI systems instead of search bots. Takes about ten minutes. It's not a magic lever, nothing gets cited purely because you added the file, but it costs you almost nothing and it's one more signal your content is meant to be found and used.
Step 4: wait 48 hours, then run your ranking report. Ask the original question again. If you're cited, move to the next question. If you're not, look at what did get cited, figure out what made it quotable, rewrite your page to match that shape, and check again in another 48 hours.
Step 5: repeat weekly. Eight weeks of this gets you eight pages answering eight real buyer questions, each one built for quotability. The model starts having real material to pull from in your category. You become legible to it before your competitors even notice this is a different game now.
Why this is actually easier than the old game
The old SEO asked you to run a content factory: steady publishing volume, keyword research, link-building outreach, an editorial calendar. It rewarded process over the actual idea, and the feedback loop was too slow to ever feel like progress.
This version rewards precision over volume. Define things exactly. Name your frameworks. State your claims plainly. Cut the hedging. If you can explain what you do clearly to one real person sitting across from you, you already know how to do this.
The window's wide open right now. Most people are still pouring effort into the old game, optimizing for a search engine that's losing its grip on the question. You don't have to out-rank anyone on Google. You just have to be legible to the model before they are, and that's a shorter race. It's not magic, it's just paying attention to what a machine needs from a sentence before it'll trust it enough to repeat it.
One thing worth being honest about: none of this replaces having something real to say. A perfectly structured page with a hollow claim still won't get cited twice. The formatting gets you noticed. The substance gets you cited again next month.
Pick one question from your last three customer conversations. Write 400 words that answer it precisely. Make sure there's one line in there you'd actually say out loud to a person. Publish it. Ask an AI model the question in 48 hours. That's the whole practice.
Pick one real buyer question
Use a question from customer or prospect conversations, not a keyword tool.
Write one page with a liftable answer
Put a clean definition or claim up front, add a numbered list or framework, and attach at least one specific number with context.
Publish somewhere crawlable
Use a page AI systems can read: no login wall, blocked robots.txt, or hidden JavaScript-only content.
Check the prompt after 48 hours
Ask the same question in Claude, ChatGPT, or Perplexity and inspect who gets cited and what gets quoted.
Rewrite toward the cited shape
If someone else gets cited, study what made their answer extractable, revise your page, and check again.
Updated 2 July 2026
Sources and citable claims
Quotability is a named Romy framework for writing sentences that AI answer engines can lift and repeat.
Source: Romy editorial framework and observed founder pattern
AI answer engines favor short, self-contained passages that can work as standalone answers.
Source: 2026 GEO/AEO research on extractability
Content blocked by robots.txt, login walls, or JavaScript-only rendering cannot be reliably cited by AI crawlers.
Source: 2026 technical GEO/AEO research on crawlability
llms.txt is a low-effort plain-text index for AI systems, but it is not a standalone ranking or citation lever.
Source: 2026 GEO/AEO research on llms.txt
Know which conversation is worth joining next.
Romy scans the GTM landscape around your product, finds the useful people and conversations, and drafts the work in your voice for approval.



