Question set per market
The questions your players or users put to an engine before choosing, in their words and per market, run on each engine you need: who is named, in what order, with which facts.
A baseline per engine and market
SEO MonsterGEO agency
Generative engine optimization is getting your brand named, with the right facts, in the answers ChatGPT, Perplexity and Google write. In gambling and crypto those answers are assembled from comparison pages, publishers’ betting sections and review sites. We map which ones, and work on them.
Fixed-fee audit, two weeks, no retainer to start.
GEO starts with the sources. We traced every page ChatGPT and Perplexity cited when players, bettors and crypto users asked them to choose, so you can see who writes your answers today.
On 23 October 2026 we asked ChatGPT (with web search) and Perplexity 24 questions players, bettors and crypto users ask before choosing: eight per vertical, in the US, the UK and Ontario. 48 answers cited 358 pages, and we classified every one by hand by who owns it.
| What we measured | Result | What it means for your brand |
|---|---|---|
| Casino and sportsbook citations on a publisher’s betting section or a review and comparison site | 211 of 250 | The engines write gambling answers from lists. GEO for an operator is mostly being on those lists, in the right position, with current facts. |
| Perplexity’s casino and sportsbook citations on news and sports publishers | 105 of 160 | Newspapers’ and sports sites’ betting sections carry Perplexity’s gambling answers. They are commercial pages with editors, and they can be pitched and corrected. |
| Citations on the site of an operator the answer recommends | 5 of 250 for gambling, 5 of 108 for crypto | Publishing more on your own site does not, by itself, change a generated answer about you. |
| Crypto citations on review, comparison and personal-finance sites | 49 of 108 | The same pattern in crypto: comparison sites and personal-finance publishers write the answer an exchange is judged by. |
| Brands named by both engines for the same question | Casino 22 of 51, sportsbook 26 of 40, crypto 20 of 38 | ChatGPT and Perplexity cite different sources and name different brands. Each engine needs its own source map. |
| Crypto questions ChatGPT answered without searching | 4 of 8 | Half the time ChatGPT answered from its training data. Being written about widely, over time, is part of GEO; a page published this week is not in that half. |
| Citations on pages unrelated to the question | 18 of 358: a logo archive, a festival site, a town directory, a hosting company | The engines also cite pages that should not be there. Those cannot be fixed, but they show how thin the source pool is, and how much one good page can move. |
One question, two engines: asked for the best online casino in Ontario, ChatGPT cited seven pages, among them an Ontario casino index, casino.org, a festival website and a town directory, and named one operator. Perplexity cited ten pages from six other sites, mostly sports and news publishers, and named four operators. Neither cited an operator’s own site.
Method: 23 October 2026. Google US desktop, top of page, 36 searches (12 casino, 12 sportsbook, 12 crypto) through DataForSEO. ChatGPT (gpt-4.1-mini with web search) and Perplexity (sonar), 24 questions each (8 per vertical; US, with one UK and one Ontario question per vertical), one answer per question, temperature 0.2. Brands counted from a list of about 70 operators, sportsbooks and crypto companies; every cited domain classified by hand. One read per question: a direction, not a market rate.
Most GEO advice is written for software companies, whose blogs and software-directory profiles get cited. In this category the engines treat four things differently.
The named brand’s own site was 5 of 250 gambling citations. The engines go to the lists that compare you with others, so the lists are where GEO is won.
Most cited gambling pages are affiliate pages, many on newspaper and sports domains. A place on them is earned through affiliate relationships, editorial pitches and data, and every paid one has to be labelled in the market’s rules.
Asked about New Jersey, Michigan, Ontario or the UK, the engines cite different local publishers and review sites. A source map built for one market is wrong for the next.
ChatGPT leans on affiliate review sites and on what it already knows; Perplexity on publishers it can search. GEO for one engine does not carry over to the other on its own.
The names overlap, and agencies use them loosely. This is how we use them, so you know what this page sells.
| Name | Where it is won | Where we stand |
|---|---|---|
| GEO, generative engine optimization | Being named and cited in answers the engines generate. The term comes from a 2023 research paper; in gambling and crypto it is won mostly on other people’s pages. | This page: the source map and the work on the sources. |
| AEO, answer engine optimization | Being the passage quoted in an AI Overview or an assistant’s answer, mostly through your own pages. | Our AEO page: explainers and facts pages written answer-first. |
| AI SEO | The umbrella for both, and for the search work underneath them. | Our AI SEO agency page: the whole plan across engines. |
The 2023 paper that named GEO measured changes to the cited page itself, such as adding statistics, quotations and sources, on a benchmark of queries. In our categories the cited pages are mostly not yours, which is why our GEO work starts with whose pages they are.
The work differs by engine, so the plan does too. What we measured, and what it changes.
| Engine | What it cited (measured 23 October 2026) | What GEO means there |
|---|---|---|
| ChatGPT with search | About six pages an answer on casino and sportsbook questions, the largest share on affiliate review sites, and some pages unrelated to the question. On crypto it searched for half the questions and answered the rest from memory. | The review sites in each market, your facts on them, and how widely you are written about over time, which is what it answers from when it does not search. |
| Perplexity | Ten pages an answer, every time. Two thirds of its gambling citations were news and sports publishers’ betting sections; nearly half its crypto citations were comparison and personal-finance sites. | The publishers and comparison sites in your market, pitched with data and corrections. Perplexity shows its sources, so every gain can be traced to a page. |
| Google AI Overviews and AI Mode | An AI Overview on 11 of 12 sportsbook and 12 of 12 crypto searches and 0 of 12 casino searches; it quoted brands’ own explainer pages more often than the chat engines did. | Mostly answer-first pages of your own, which is AEO work. Our AEO page covers it. |
Gemini, Claude and AI Mode were not in this measurement. Where your players or users use them, they go into the tracked set, and the plan names which engines it covers before it starts.
Six kinds of work, one plan per brand and market. Most clients start with the audit and add the rest as the plan proves out.
The questions your players or users put to an engine before choosing, in their words and per market, run on each engine you need: who is named, in what order, with which facts.
A baseline per engine and market
Every page cited for those questions, grouped by owner and ranked by how often it is cited: publishers’ betting and crypto sections, affiliate and review sites, comparison sites, forums.
The twenty or so pages that decide your answers
Wrong offers, fees, licences, payment times and supported markets on the cited pages, documented and sent to their editors with the source for the right figure.
Cited pages that describe you correctly
Editorial pitches, data, expert comment and product facts for the publishers and review sites that are cited, and the affiliate relationships you already have. Paid placements labelled and shown to you first.
More cited pages that name you
Comparison, facts and explainer pages of your own, written so the engines can lift a passage with its source and date, for the questions where they do cite brands.
Own pages in the source pool where they can be
Review and comparison pages built to be cited: a published rating method, checked facts and dates, a page per market, so the engines quote you when they recommend operators.
A review site the engines cite by name
GEO pays where buyers ask the engines and the sources can be reached. We say which before the call.
Licensed operators
Casino and sportsbook brands licensed where they target players, that are missing from the answers or described there with old offers, slow payouts or the wrong licence.
Crypto exchanges and wallets
Companies whose users ask the engines where to buy, stake or store, and who are compared on fees, safety and supported countries.
Affiliates and review sites
Sites that want to be among the pages the engines cite for operators in the markets they may promote in.
Unlicensed or grey-market gambling brands
We work only with brands licensed where they target players.
Buyers of AI content at volume
Pages generated by the thousand to be picked up by the engines are not GEO and break Google’s spam policies. We do not build them.
Four stages. You can stop after the first and keep everything we found.
Weeks 1–2
The question set per market, the baseline on each engine, the source map with every cited page and what it says about you, and a prioritised plan.
Yours to keep: the questions, the answers, the source map
Months 1–2
The wrong facts on the most-cited pages corrected first, and your own facts pages made quotable. The fastest changes, because the engines re-read pages they already cite.
Every correction logged with its source and date
Months 2–6
Pitches, data and placements on the cited sources, starting with those cited most often and naming you least. The slow part, and the part that changes which brands are named.
Every paid placement shown to you before it is bought
Every month
The same questions re-run on the same engines; the source map rebuilt from what they cite now; next month’s targets chosen from it.
A monthly report per engine and market
For each engine and market: how many tracked questions name you, in what position and with which facts; the cited pages, and how many of them name you; which competitors are named instead; and what we changed. Visits from the engines are reported where your analytics can separate them.
Two numbers are fixed; the rest depends on three things we can name.
Delivered in two weeks as a prioritised plan, covering AI answers, Google results and community threads for one brand in one market. The source map is yours to work with anyone.
For one brand in one market, GEO and search work in one plan. Thirty days’ notice, no minimum term.
The number of markets and engines tracked; how many cited sources name you today and how many have to be won; and how much of the work is placements, which are scoped and shown before they are bought.
Five questions that separate GEO from rebranded content writing, with the answer to expect and ours.
GEO is new enough to be sold on promises. These are the ones we do not make.
No agency controls what an engine writes. We control the sources we work on and report what changed.
Lab results on a benchmark are not a forecast for your brand in your market. We measure your questions instead.
No pages generated at volume, fake reviews or planted threads to feed the answers.
The engines answer by market. Where you may not take players, you should not be named.
It works on how your brand appears in answers that ChatGPT, Perplexity and Google’s AI features generate: whether you are named, in what position, with which facts, and which pages the engines cite. In gambling and crypto most cited pages belong to publishers, affiliates and comparison sites, so most of the work is on those sources.
Mostly comparison pages. In our 23 October 2026 measurement, 211 of 250 casino and sportsbook citations were publishers’ betting sections or review and comparison sites, and 49 of 108 crypto citations were review, comparison and personal-finance sites. The recommended brand’s own site was rarely cited.
Agencies use the names loosely. We use AEO for being the passage quoted from your own pages, mostly in Google’s AI Overviews, and GEO for being named in generated answers, mostly through the sources the engines cite. Both rest on search work: the engines read pages that rank.
It uses the same foundations, and Perplexity and ChatGPT with search read pages that rank. What changes is the target, the generated answer and its sources, and the measurement: per engine, on a fixed question set, rather than positions.
Corrections on pages the engines already cite can show within weeks. Getting onto the lists that decide your answers takes two to three months or more, and should be judged on a fixed question set per engine.
Not in the answers themselves. You can pay for placements on some of the pages the engines cite; those have to be labelled as paid under the market’s advertising rules, and we show every one to you before it is bought.
Yes. For an affiliate GEO means being one of the cited sources: review and comparison pages built to be quoted, per market. We take one operator and one affiliate per market, and say on the first call if a competitor of yours is already with us.
Two weeks, a fixed fee, and a source map you keep: the questions your players or users ask, what each engine answers today, every page it cites, and which of them to work on first.
We reply within one business day, from a person.