Everything I’d learned about writing to be found turned out to be aimed at the wrong reader.
For twenty years the reader was a crawler. You wrote for a machine that matched strings, and the craft was getting the right phrase in the right places often enough to be counted. That reader’s gone, and what replaced it does something the crawler never did: it reads your page, takes what it needs, and answers the question itself.
I went looking for what actually works now, because I was about to spend real time on it. What I found wasn’t a list of tactics. It was a shape.
Getting found by AI is three separate contests, not one. You can win any of them and lose the others, and almost nobody is competing in all three, because most people don’t know the second and third exist.
Here’s the shape, then the evidence for it, then what I’d do about each stage.
The three contests
Retrieval. Does the engine consider your page at all?
Lift. Once it’s looking, does it take anything from your page?
Attribution. Once it’s used your material, does the reader learn your name?
Different things win each one. That’s the whole insight, and it’s why “do good SEO” is now advice about one third of the problem.
Does Google rank decide whether AI cites you?
I assumed the pages AI cites were roughly the pages Google ranks. They aren’t close.
Ahrefs looked at the thousand most-cited pages in ChatGPT, part of about a billion data points they worked through this year. 28.3% of those pages have zero organic visibility in Google. The overlap between ChatGPT’s results and Google’s top ten organic is 6.82%.
If you’ve been using your Google rank as a proxy for whether AI will cite you, that proxy is about 7% accurate.
The mechanism underneath is stranger and more useful. Among cited pages, 65.3% sit on high-authority domains, while 67.3% of those same pages have almost no page-level authority of their own.
Read that twice. The domain matters enormously. The individual page’s backlinks barely matter at all.
Which inverts a decade of advice. The old play was to build links to the one page you wanted ranked. The new one is to get the domain trusted, then publish the specific page and stop worrying about whether anyone links to it directly.
That’s genuinely good news for a small operator publishing consistently on one domain, and bad news for anyone whose whole strategy was a single heavily-linked cornerstone page.
What to do: stop optimizing individual pages for links. Publish consistently on one domain you own and let the domain carry the pages. And know that a page can earn citations while ranking nowhere, which means your analytics will under-report this entirely.
Contest two: lift is won by material a model can safely reuse
Once you’re in the consideration set, something has to be worth taking.
The foundational study here is GEO, for Generative Engine Optimization, out of Princeton and IIT Delhi and presented at KDD in 2024. They tested nine content modifications across roughly ten thousand queries and measured which made a page likelier to show up inside an AI-generated answer.
Three things won: citing sources, adding quotations, and adding statistics. Together the best techniques lifted visibility by up to 40%.
I’ll be careful with that number, because almost nobody who quotes it is. 40% is the maximum that study found, not the average. It gets passed around like it’s a floor. It’s a ceiling.
The loser is the more useful half. Keyword stuffing came in around minus 9%, and roughly 10% worse than baseline on Perplexity. The technique that defined this discipline for a decade doesn’t just stop working. It costs you.
That paper’s two years old, which in this field is a long time, so I checked whether it still holds. It does, and the newer work is more specific: structural rewrites on their own, meaning sectioning, fact placement and list use, lifted citation rates by 17.3%. You don’t have to change what you think. You have to change how it’s arranged on the page.
There’s a format finding too, and it’s uncomfortable if you write essays. Ahrefs found “best X” listicles are the single most-cited content format in ChatGPT, at 43.8% of cited page types.
What to do: put liftable units in your writing. A sourced number, a named authority, a sentence precise enough to quote. Then arrange them so they’re findable: real sections, facts near the top of their section, lists where the content is genuinely a list. And accept that some of your best material will get lifted from a format you find “beneath” you.
Why does being cited so rarely turn into being named?
This is the part that re-organised how I think about all of it, and it’s the contest nobody is playing.
GPO published research in August 2026 with a finding I haven’t stopped thinking about since. When a brand’s own content was cited as a source inside an AI Overview, that brand was still left out of the model’s actual recommendation 69% of the time.
Read that again. Your page is good enough to be the source. The answer’s built out of your work. And then the model recommends somebody else.
The same research measured how badly old signals transfer:
Brands appeared in Google’s local 3-pack 35.9% of the time.
ChatGPT recommended those same brands 1.2% of the time.
Gemini 11%.
Perplexity 7.4%.
For the same brands, that’s roughly a thirty-to-one gap between ranking and being recommended.
Semrush and Kevin Indig found the adjacent version in June, looking at 3,981 domain appearances across 115 prompts, fourteen countries and four engines. They called them ghost citations: the answer links your page as a source and never says your name in the text a human actually reads. That was 61.7% of citations.
Ghost citations are real.
So you can win contests one and two completely, supply the entire answer, and still leave the reader with no idea who you are.
What to do: make your name inseparable from your best claim. Not in the title tag, in the sentence. If the liftable line is “the fifth step is the one people skip,” you get cited. If it’s “the fifth step of the 5 Ds is the one people skip,” the thing that travels is yours. Name your frameworks. Put your own name in the prose. A claim with a name welded to it is the only unit that survives summarization intact.
The theory, in one paragraph
Domain trust gets you considered. Liftable material gets you used. A named claim gets you credited. They’re three different jobs, they’re won by three different things, and the last one is both the least worked on and the one that decides whether any of it turns into a reader who knows your name.
If your traffic is flat but your ideas keep showing up in other people’s mouths, you’re winning the first two and losing the third. That’s the most common shape I see, and it’s the one that feels like failure while actually being most of the way there.
The audit I run now
I ran this on the piece you’re reading and it failed five of six checks on the first pass.
Is there a claim here specific enough for an answer to lift and cite?
Does that claim carry the name or idea I want remembered?
Is my own name in the prose, not just the metadata?
Are the numbers sourced, in the text, where a model can attribute them?
Do the headings ask questions the section beneath actually answers?
Have I named a concept I own?
That last one is the item that pays most and the one nobody does. The fifth matters more than it looks: question headings help, but only where the section genuinely answers the question. The research is explicit that a question a section doesn’t answer is the trick that doesn’t work, which is the rule most advice in this area gets backwards.
I’m Ahad Amdani, I write G8N•AI, and this audit is now the last thing that happens before anything goes out.
What I’m not claiming
I’m not claiming this makes you rank. Nobody’s got a formula that guarantees an AI retrieves, cites or recommends you, and anyone selling one is ahead of the evidence. The Ahrefs data is one vendor measuring mostly ChatGPT. The GEO study is two years old. Treat all of it as a working theory that’s better than the one you had, not as physics.
I’m also not claiming the old work was wasted. The same ingredients that make a page citable, clear evidence and a claim that survives outside its paragraph, are what make it trustworthy to a person. That’s the part I find genuinely reassuring: what works on the machine is what was always good writing.
Do this to one page today
Open an article you actually want people to find.
Circle every sourced number, every named authority and every sentence that could be lifted whole. Then check whether a single one of them says who you are.
If it hasn’t got any, you have a contest-two problem and the fix is material. If it’s got several but none carries your name, you have a contest-three problem, which is the more interesting one and the one 69% of cited brands have right now.
If you want the how rather than the what, that’s a conversation. Reply to this and tell me which of the three you’re losing, and I’ll tell you what I’d change first.
Ahad, the split between retrieval, lift, and attribution is a clean way to see the problem. The part I keep thinking about is ghost citations. Your work can supply the answer and still leave no trace of your name. That makes the advice to weld the name to the claim feel practical, not gimmicky. It also changes how I think about frameworks. A named idea is not just branding now. It is basic survival if AI is doing the retelling.