Generative Engine Optimization: Getting Cited in ChatGPT

Generative engine optimization (GEO) is the work of getting your pages cited or mentioned in AI answers from ChatGPT search, Google AI Overviews and Perplexity. For affiliate sites it is mostly classic SEO done well, plus three extras: let the right crawlers in, write passages an AI can quote, and make every claim easy to attribute.

This guide is for casino and sportsbook affiliates (new to the vertical? see what iGaming is). It covers organic citations; paid placement is in our ChatGPT ads guide. Platform details are current as of October 2026.

What generative engine optimization is

Generative engine optimization is the practice of shaping pages so AI answer engines use them as sources, quote them and link to them.

The label comes from a 2023 research paper, "GEO: Generative Engine Optimization" by Pranjal Aggarwal and co-authors, accepted at the KDD 2024 conference. The authors measured which page edits raised a source's visibility inside AI-generated answers.

Take one query: "how long do e-wallet withdrawals take at New Jersey online casinos?" Classic search returns a ranked list of links, and the reader picks one. An AI answer engine runs its own searches, reads what comes back and writes a short reply that credits two or three sources.

That changes what you measure first. Ask the same question tomorrow and the cited sources may differ, so the number worth watching is how often you are cited across many prompts, not a position. It also changes which page earns the credit: a payments explainer that gives the hours for each method in one plain sentence can be quoted while your main review is passed over.

Google's own guide on generative AI features names GEO and AEO and settles where they belong: optimizing for generative AI search "is optimizing for the search experience, and thus still SEO."

ChatGPT SEO vs GEO vs AEO: what the terms mean

GEO, AEO and LLMO all describe getting into AI-written answers and differ mainly in framing; "ChatGPT SEO" can mean two opposite things.

• GEO (generative engine optimization): visibility inside AI-written answers.

• AEO (answer engine optimization): the same goal framed around "answer engines", a label that also takes in featured snippets. Google's guide lists it next to GEO.

• LLMO (large language model optimization): work aimed at how models describe your brand when asked about it.

• ChatGPT SEO: a phrase used for two opposite jobs.

The first job is SEO for ChatGPT: getting cited in ChatGPT's answers, the subject of this guide.

The second is ChatGPT for SEO: using the chatbot as a tool. It handles title and meta variants, keyword grouping, outlines and JSON-LD markup. It is weak exactly where affiliate content is exposed: it invents statistics, garbles bonus terms and states outdated legal status with confidence. Treat its output as a draft for human review.

How ChatGPT search and AI Overviews pick sources

Both platforms can cite only pages their crawlers can reach and index; how they choose among those pages is documented only in part.

Documented by Google. AI Overviews and AI Mode draw on Google's index. A supporting link must be indexed and eligible to show in Search with a snippet; Google lists no additional technical requirements and no special schema.org markup. Both features may use "query fan-out", running several related searches across subtopics before writing the answer. Access is governed by your robots.txt rules for Googlebot, and the usual snippet controls (nosnippet, data-nosnippet, max-snippet, noindex) limit what is shown.

Documented by OpenAI. ChatGPT search finds sites through a crawler called OAI-SearchBot. Sites that block it are not shown in ChatGPT search answers, though they can still appear as plain navigational links. OpenAI's public pages cover access and referral tracking, not ranking.

Inferred by practitioners. Both systems appear to work in two steps: a search step gathers candidate pages, then a model picks the passages that answer each part of the question. A page that never surfaces in that first step cannot be quoted, which is why conventional rankings still matter. Fan-out also rewards depth. A question about which sportsbooks operate in Ohio may spawn follow-up searches on minimum deposits, payout times and age rules, and a page that answers those too gets more chances.

Neither OpenAI nor Google documents how these steps are weighted, so nobody outside the platforms can honestly guarantee a citation.

What is proven and what is guesswork

The best-supported GEO tactics are the ones platforms document: let OpenAI's search crawler in, be indexed in Google and do classic SEO well. Everything else relies on one lab study or practitioner observation (ratings as of October 2026):

The paper has limits. Its main tests used a research engine built on an older OpenAI model, not today's ChatGPT search, and results varied by topic. The headline gain of "up to 40%" is on the authors' own visibility metrics.

Claims that AI referral visitors convert many times better than search visitors also circulate. We found no primary study behind them.

How to rank in ChatGPT search: a practical checklist

Ranking in ChatGPT search starts with crawler access and indexing, then moves to how pages are written, who stands behind them and what original facts they offer. Work in order: each step depends on the one before.

Let the right bots in

OpenAI runs separate agents for separate jobs:

• OAI-SearchBot crawls for ChatGPT search. Block it and you drop out of ChatGPT search answers.

• GPTBot collects content that may be used to train OpenAI's models. Blocking it does not affect search.

• ChatGPT-User fetches a page when a user asks ChatGPT to open it. It does not crawl automatically, and OpenAI notes robots.txt rules may not apply.

On Google, the Google-Extended token governs whether crawled content may be used to train Gemini models and to ground answers in Gemini Apps and Vertex AI. Google states it does not affect inclusion or ranking in Google Search. A site that wants to stay in ChatGPT search and Google Search but opt out of model training could use rules like these:

User-agent: OAI-SearchBot
Allow: /

User-agent: GPTBot
Disallow: /

User-agent: Google-Extended
Disallow: /

Google-Extended does not control AI Overviews or AI Mode. Those are Search features, governed by your Googlebot rules and the snippet settings described above. Blocking Google-Extended does stop grounding in Gemini Apps.

The two Disallow groups illustrate a training opt-out: a policy choice for each site, not our recommendation. OpenAI says robots.txt changes take about 24 hours to reach ChatGPT search.

Then look past robots.txt. Bot protection, rate limits and geo-blocking, all common on gambling sites, can hand a crawler an error or a challenge page. Filter server logs by user agent and confirm normal 200 responses on the pages that matter. User agents can be faked, so treat the counts as indicative.

Be indexable and quick to parse

• Put the main content in the initial HTML. Text that appears only after scripts run, behind "load more" or inside tabs may not reach every crawler.

• Keep facts in text. A bonus table exported as a banner image is invisible to most retrieval systems.

• Use real tables and lists for state availability, payout methods and wagering requirements.

• List only indexable, canonical URLs in your sitemap, and change last-modified dates only when the content changes.

• Check Bing too: its Webmaster Tools report Copilot citations, so pages missing from Bing lose that surface.

Write answer-first

Put the question in the heading and answer it in the first one or two sentences, then add detail and the source. Keep one idea per paragraph so each makes sense when lifted out alone.

Be specific. "Withdrawals usually take a few days" gives a model nothing to cite. Your own dated test of e-wallet withdrawals at named, licensed casinos, with the hours and the method, does. That fits the paper: statistics, quotations and cited sources helped, repeated keywords did not.

FAQ blocks help when the questions come from real demand, such as Search Console queries or "People also ask".

Show who wrote it and where facts come from

Google's helpful-content guidance asks pages to make clear who created them and how. For an affiliate guide, that means a byline linked to a bio with real experience in the vertical (Google warns against invented authors and credentials), a visible updated date whenever terms or laws change, and a primary link on the sentence that makes each claim: the regulator, the statute or the operator's own terms.

Publish facts nobody else has

An AI answer is stitched from many pages, and generic text is interchangeable. Google's guidance is blunt: do not just recycle what others have already said. For an affiliate site, original material can be:

• a state-by-state availability table with a "last checked" date;

• dated withdrawal or KYC tests with screenshots;

• bonus terms worked through with the math;

• results from a survey of your own readers.

Earn mentions off-site

Practitioners report that brands discussed on forums, in trade press and on podcasts appear more often in AI answers. No platform has confirmed it, so treat it as a side effect of normal PR. Fake reviews and planted threads break platform rules and can get accounts banned.

What changes for casino and betting affiliates

Google gives extra weight to experience, expertise, authoritativeness and trust on "Your Money or Your Life" topics, those that can significantly affect a person's health, financial stability or safety. Gambling content is about players' money, so expect that higher bar. The fundamentals in our iGaming SEO guide still apply; GEO adds a few points:

• Licensing signals. Name each brand's regulator, link to the regulator's licensee list and say which states the product is live in.

• Responsible gambling. Age rules, limit tools and help resources belong on review and bonus pages, in plain text.

• Explain, don't sell. A model asked for a balanced answer has no use for a paragraph built to push a deposit. One showing that a 35x wagering requirement on a $100 bonus means $3,500 in bets before withdrawal is a passage it can lift.

• Disclosure. State affiliate relationships near the top.

• Brand queries. Answers about an operator's own name lean on its site and large outlets. Affiliates have better odds on comparison and how-it-works questions.

• Cautious answers. Assistants may add responsible-gambling caveats, ask where the user is or decline to name operators. Test your own prompts before planning around "best casino" queries.

Thin "best casino" lists suffer most, since a model can write the same list itself. Mass-producing a separate page for every way a question can be phrased, mainly to manipulate rankings or AI answers, is no shortcut either: Google's guide says that violates its scaled content abuse spam policy.

Our own view: hidden text and instructions planted for AI crawlers are manipulation too, and we would avoid them.

How to measure AI visibility

AI visibility means how often your pages are cited across many prompts, since AI answers have no position report. Combine four signals:

1. Prompt panel. Keep a fixed set of questions your pages should answer, for example 20 to 30 per topic cluster. Run them in ChatGPT search and Google on a schedule, logged out where possible, and record the cited URLs. Answers vary between runs, days and users, so judge trends.

2. Referral traffic. OpenAI says ChatGPT adds utm_source=chatgpt.com to the links it sends. Segment that traffic and compare its click-outs to operators and registrations per visit with your organic average.

3. Platform reports. Search Console counts AI Overviews and AI Mode traffic, and Google's July 2026 guide points to a dedicated generative AI performance report. Bing Webmaster Tools has shown Copilot citations in its AI Performance report, a public preview, since February 2026.

4. Server logs. Watch OAI-SearchBot and Googlebot hits and response codes on money pages.

Generative engine optimization tools (prompt trackers, log analyzers, content graders) automate this work. None sees inside the ranking systems. The same goes for generative engine optimization services: before hiring an agency, ask which prompts it tracks and what baseline it starts from. Treat guaranteed citations as a red flag.

A realistic generative engine optimization strategy

A realistic GEO strategy fixes access and indexing first, rewrites the pages that earn the most, and only then spends on original assets and reputation. Spend in this order, cheapest first:

1. Access: robots.txt, firewall rules, rendering.

2. Indexing: confirm key pages are indexed in Google and Bing.

3. Rewrites: rework your top 10 to 20 pages by revenue answer-first, with sources, dates and a named author.

4. One original asset per cluster: a test, a dataset or a maintained table.

5. Baseline: start the prompt panel and referral segment before further changes, so you can see what moved.

6. Reputation: press, podcasts and community presence, done honestly.

Do not cut classic SEO to fund this. Every documented route into AI answers still runs through crawling, indexing and ranking.

FAQ

What is generative engine optimization?

Generative engine optimization is shaping pages so AI answer engines such as ChatGPT search and Google AI Overviews use them as sources and link to them. The term comes from a 2023 research paper, and Google treats it as part of SEO.

How do I rank in ChatGPT, and how do I rank on SearchGPT?

SearchGPT was OpenAI's search prototype; it now lives inside ChatGPT as ChatGPT search. Allow OAI-SearchBot, serve content without relying on scripts, answer directly, cite primary sources and publish original facts. No one can guarantee a citation.

Is SEO dead now with AI?

SEO is not dead with AI: Google's AI features draw on its search index, and Google's own guide calls optimizing for AI search "still SEO". ChatGPT search also depends on crawling, through OpenAI's own bot.

How do you do SEO for ChatGPT, and is it different from Google SEO?

SEO for ChatGPT has the same base as Google SEO: crawlable, indexed, trustworthy pages. The differences are OpenAI's own crawler, writing at passage level and measuring citations instead of positions.

Can ChatGPT do SEO for me?

ChatGPT can draft, outline, group keywords and write markup for SEO. It cannot verify facts, see your Search Console data unless you share it, or replace testing.

How do I check whether my site is cited in ChatGPT?

To check whether your site is cited in ChatGPT, run a fixed prompt set on a schedule and record cited URLs, watch analytics for utm_source=chatgpt.com visits and check server logs for OAI-SearchBot.

Sources

• OpenAI, Overview of OpenAI crawlers

• OpenAI Help Center, Publishers and developers FAQ

• OpenAI, Introducing ChatGPT search

• Google Search Central, AI features and your website

• Google Search Central, Optimizing your website for generative AI features on Google Search

• Google Search Central, Google's common crawlers (Google-Extended)

• Google Search Central, Creating helpful, reliable, people-first content

• Microsoft Bing Webmaster Blog, Introducing AI Performance in Bing Webmaster Tools public preview

• Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024