Question.marketing

About Simon

I published an article on AEO 1,153 days before ChatGPT existed

I'm Simon Young. I've worked in search for thirty years. On 4 October 2019 I published an article titled "AEO is your business ready?", using the term, naming answer engines, and asking whether the reader's agency had raised either. OpenAI released ChatGPT on 30 November 2022, one thousand, one hundred and fifty-three days later. The academic paper that coined "generative engine optimisation" appeared in November 2023, more than four years after that article.

Everything below is dated, linked and checkable. Including the parts I got wrong.

Last updated 30 September 2026

Why this page exists

Question.Marketing graphic showing 1,153 days, underlined in red: the gap between Simon Young's first published AEO article on 4 October 2019 and the launch of ChatGPT.
Simon Young published on answer engine optimisation 1,153 days before ChatGPT launched.

Most agencies selling answer engine optimisation are younger than ChatGPT. Their founding story is that they spotted the shift early. There's no way to verify that, and no particular reason to believe it.

So rather than tell you I saw this coming, here's the timestamped public record. Read it and decide for yourself.

The receipts

The full evidence page: the dated LinkedIn articles, photographs of the printed 2021 book that names AEO, its ISBN and copyright page, and the calls I got wrong.

See the receipts

The receipts

Five published articles, dated and linked

These are long-form articles originally published on LinkedIn. Four still have public LinkedIn URLs. The 2019 AEO article is preserved on the receipts page because LinkedIn no longer serves its original URL. Each publication date was read from LinkedIn's own structured data, not estimated from memory. The captures were taken on 12 August 2026 and show the title, byline and LinkedIn's own "Published" line in frame.

Two of them make the AEO call explicitly: “AEO is your business ready?” (4 October 2019), which asks whether your SEO company has even mentioned AEO, and “Questions & Answers in SEO” (5 February 2020), which names Answer Engine Optimisation as the biggest opportunity in search. The other three argue about the SEO industry rather than about answer engines, and are kept here for the record rather than as evidence of the call.

Verifying the dates changed one of them: I had the "Death of the SEO industry" piece filed as 2020, and it is actually November 2019. It is corrected here rather than quietly left as it was.

· 1,534 days before ChatGPT

SEO Companies, thief, fraud or ignorant? Are they worth it?

The earliest published article in the record, and an earlier draft of the argument that became "Death of the SEO industry" fourteen months later, with nearly identical opening text. About the industry's billing model rather than about AEO, so it sets the ground rather than making the AEO call. No capture yet, the live page carries the date.

Date read from LinkedIn's structured data · no capture yet, open the live page

LinkedIn article “AEO is your business ready?” by Simon Young, published 4 October 2019

· 1,153 days before ChatGPT

AEO is your business ready?

Uses the term AEO, names answer engines, and asks whether the reader's agency has raised either. Published four years and one month before the paper that coined "generative engine optimisation".

Date read from LinkedIn's structured data · capture 12 August 2026

LinkedIn article “Death of the SEO industry, it needs a cleanup” by Simon Young, published 20 November 2019

· 1,106 days before ChatGPT

Death of the SEO industry, it needs a cleanup

Earlier than I had it filed. The verified date is November 2019, not 2020. The argument, that the industry's billing model rather than the practice was the problem, is the one I still make.

Date read from LinkedIn's structured data · capture 12 August 2026

LinkedIn article “Questions & Answers in SEO, building brand credibility” by Simon Young, published 5 February 2020

· 1,029 days before ChatGPT

Questions & Answers in SEO, building brand credibility

Questions, not keywords, as the unit of search. Six years later the company is called Question.marketing, which is either consistency or stubbornness.

Date read from LinkedIn's structured data · capture 12 August 2026

The scoreboard

Six pre-ChatGPT posts. The honest tally:

Question.Marketing graphic showing '4 right, 2 wrong', underlined in red: six public calls Simon Young made before ChatGPT, scored in the open, with the wrong ones left up.
Six pre-ChatGPT calls: four right, two wrong, all published.
CallVerdict
The interface would shift from lists to answersRight, and early
"AEO" and "answer engines" would be the frameRight, ~4 years before the literature
Questions, not keywords, would be the unitRight
Agencies weren't preparing clientsRight, and largely still true, only 14% of marketers track AI search performance at all, per Conductor's 2026 survey of 250+ digital leaders
SEO "dead and forgotten" by 2025Wrong. The business model is in trouble; the practice isn't
Video would succeed text searchWrong. Generated answers did

Four right, two wrong. That's roughly the hit rate you should expect from anyone making public calls about technology, and you should be suspicious of anyone claiming better.

Why the dates are precise

You'll have noticed exact dates rather than "a few years back."

Question.marketing people card quoting Simon Young: 'If proof is the product, the proof has to survive being checked.' under a black and white portrait of Simon against a brick wall.
Every date on this page is derived from the LinkedIn post identifier, so anyone can check it.

LinkedIn post identifiers are Snowflake-style, the creation timestamp is encoded in the identifier itself. Every date here is derived from the identifier in the post's own URL and cross-checked against what LinkedIn displays. If you want to verify any of them independently, the URLs are above and the method is about one line of code.

Small thing. Same principle as everything else here: if proof is the product, the proof has to survive being checked.

The timeline behind the posts

Question.Marketing timeline graphic headed 'Thirty years of learning what the machine rewards': 1990s Lycos, AltaVista and Ask Jeeves; 1998 the PageRank era; 2016 voice answers on Alexa; 2019 AEO, said out loud.
From Lycos in the 1990s to answer engines in 2019: the same job, different machines.

Early 1990s to 1998, before Google

I was running my own computer consumables business, and I optimised it myself, out of commercial necessity rather than as a discipline anyone had named yet. Ranking on Lycos, AltaVista and Ask Jeeves, five years before Google launched. At one point, for a laugh, I got the business ranking number one on Lycos for the single term bank. In hindsight I should probably have kept hold of that one.

1998 onwards, the PageRank era

The PageRank era began in 1998, when Larry Page and Sergey Brin introduced the algorithm that gave Google its advantage. By the time it arrived I already had seven or eight years of ranking sites in search behind me, so the shift was a change of mechanism rather than a change of trade: work out what the machine is rewarding, then earn it rather than fake it.

2016 to 2019, answer engines, first time round

At least eight years before ChatGPT I was ranking answers in voice search, on Alexa and the assistants around it. Technically it was good fun. Commercially it went nowhere, because very few people were actually searching for products and services by voice, and low adoption meant low client interest.

What it taught me: when a machine returns one answer instead of ten links, second place is worth nothing. I saw that on a device in people's kitchens years before anyone was discussing AI Overviews. Same problem now, vastly larger scale.

The algorithm decade

A decade in which digital media and social platforms all ran on the same core assumption: that the algorithm would actively curate and deliver an audience straight to your content. I spent a large part of it on video, ranking on YouTube and building video specifically to rank, because video was being pulled into the main Google index faster than anything else you could publish.

2019–2022, saying it out loud

The posts above, written while the industry consensus was still that search would keep sending links and keep sending traffic.

The honest answer is that almost nothing happened. I could not sell it. There was no demand for answer engine optimisation as a service in 2019, so none of that writing was lead generation. It was me showing what I thought was coming. Not one client was won on the back of any of it.

The revenue came from somewhere else entirely. Social media and ordinary SEO, getting clients ranked in Google, because that is what people were buying. I pitched AEO to a few larger brands and it did not land. They did not see the value, and I understand why, because the other half of the problem was attribution. I could not show them what it was worth. That is still the hardest part of this work, and it is why measurement is now the first thing I sell rather than the last thing I mention.

The comments on those posts were mostly fair questions. What did I know. Was this even a thing. Could it really happen. I have gone back to a few of them recently and left a reply saying the comments aged well.

2023–now

ChatGPT arrives, the category forms, and the thing I'd been describing since 2019 becomes the thing everyone needs. Question.marketing is the practice built for it: question research feeding both outreach and answer-first pages, with results published in a public ledger, including the interventions that produced nothing.

linkedin.com/in/aeo

I hold the LinkedIn vanity URL linkedin.com/in/aeo. The archive shows it was in place by August 2024 at the latest.

There's a story in it, and a technical point. When an AI system works out who is an authority on a topic, a high-authority crawlable profile whose URL is the category term is a useful entity signal. Ahrefs, across 75,000 brands, found branded and entity signals correlate 0.664 with AI Overview visibility against 0.218 for backlinks, roughly three times as predictive.

I didn't acquire it for that reason. In 2019 there was no reason to. But it's the kind of asset nobody can compete for, because there's only one.

What thirty years teaches you that eighteen months can't

Which fundamentals never move. Crawlability, structured information, genuine authority, answering the actual question. That's been the job since the nineties and it's the job now. Google's May 2026 guidance says essentially this, and it's right. It reads as revelation only to people who arrived recently.

Question.Marketing graphic with a greyscale photo of Simon Young in a slanted panel, headed 'What thirty years teaches you that eighteen months can't' with the word thirty underlined in red.
Simon Young, founder of Question.Marketing, on what three decades in search changes.

Which panics are real. Mobile, social, voice, all overstated, and I said so at the time. This one is different in kind: for the first time the interface returns a synthesised answer rather than a set of options, on surfaces that don't use Google's index.

That being early is not the same as being right. I was talking about AEO in 2019 and it made me nothing at all for four years. Timing is most of it.

How to hold a position you can't fully prove. Ahrefs found the overlap between Google's top ten and AI Overview citations collapsing from 76% to 38%. BrightEdge found it rising. Both are competent teams. When that happens you measure your own situation and stop arguing about the average, which is why everything I publish carries a confidence interval.

How I work

I turn up. Doncaster-based, on-site across South Yorkshire, remote beyond it. I build with your team rather than around them, and hand over something they can run without me.

And I publish the numbers, baselines, interventions, results, on a fixed cadence, including the work that produced nothing. Six years of public posts with two wrong calls in them is the same instinct: nobody can verify anyone's claims in this market, so the only useful thing I can do is show you the whole record.

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About Simon Young

Simon Young is the founder of Question.Marketing, a Doncaster-based answer engine optimisation consultancy that helps UK businesses get named in AI answers, including spoken answers from voice assistants. He has worked in search for thirty years, and on 4 October 2019 published "AEO is your business ready?", more than three years before ChatGPT launched. His dated articles and the calls he got wrong are on the receipts page. Connect on LinkedIn.