iGaming SEO After AI Search: Why Brand Mentions Matter
Casino SEO After AI Search: Why Operators Must Be Named, Not Just Ranked
The way that players find new casino sites has changed significantly and operators are swiftly changing their marketing strategies to ensure that they don't fall into search oblivion.
For around 20 years, players searching for a new online casino to play would simply type a query into Google and be presented with a page of blue links to comparison sites and affiliate reviews. From there, they would click on a couple of the results and compare a small number of the best options before choosing their preference.
Casino operators, affiliates and media buyers built their marketing strategies around this predictable behaviour process. However, AI has shaken up the traditional search process and player acquisition teams are trying to keep up with the pace of the changes.
Now, when a potential casino player enters a search query into Google, it is common for them to see an AI overview rather than a list of 10 blue links. AI assistants including ChatGPT, Gemini, Copilot and Perplexity are increasingly being used conversationally.
A casino player might type in a query such as “which betting sites accept PayPal in the UK?” Rather than displaying 10 links to sites which are deemed relevant enough to answer the topic, AI overviews are designed to provide a summary that succinctly answers the query, with a few links to citations.
For the user, their queries are usually answered directly rather than needing to click through options to find the most relevant content and read through it to obtain an answer. For operators and affiliates, there is a major challenge, as only a small selection of named brands will make the cut instead of the traditional 10 per page.
From Ten Options to Three
Before the AI-driven overviews started to dominate search results, it was easier for casino operators and affiliates to command a search results spot that drove good levels of traffic to their sites. Organic search success still required effective SEO tactics to be applied but the options falling from ten to three has made it much more difficult to achieve good volume numbers.
With the AI answer taking the place of the traditional search results display, if an operator or affiliate does not make the coveted top three, they are effectively out of the running. They no longer just appear lower down on the list, they simply don’t appear at all in the query results.
Competition for the high-intent queries in iGaming has always been incredibly strong. Queries such as “best new casinos” and “no-deposit offers” have always been notoriously difficult to achieve top rankings for. Operators, gambling affiliates and comparison sites have battled for these lucrative phrases and now with the limited options in query results, the value of these phrases is even higher.
The whole objective of “ranking” has also changed meaning. In the new landscape, a casino brand can be recommended even if the citation is not drawn from their site. Citations in an answer are not directly comparable to ranking first, The synthesised response pulls multiple sources together but if the query has been answered in the overview, there is less reason for the user to click on the links unless they want to get further information.
The relevance of the results depend on how well the model has understood the key brand details such as which regulated markets it is licensed in, how it compares to competitor brands and what other sources say about the brand.
Why Gambling is a Hard Case
The AI overview format is simpler to apply across many other industries but the gambling industry brings the added complexity of working across a jurisdictional framework. For example, a casino can be legal and licensed in the UK but for the same site, players in Ontario cannot access it and it is illegal for players in some US states to access it.
There are other major differences that AI systems need to understand, such as the ever-changing bonus terms and changes to licensing statuses. Payment methods also change on a frequent basis. The risk for Google is that if the search query returns links or citations from an operator that does not match the jurisdiction, this causes a compliance issue.
As a result, the AI system focuses on this essential information and therefore, operators and affiliates who ensure that their licensing and jurisdictional market position is clear for machines to read are the ones that are more likely to work their way into the AI overview results.
There is a much greater onus on ensuring that information such as eligibility, licence and market details are clearly conveyed on operator and affiliate sites. Much of this aligns to compliance with regulatory requirements but now there is an added incentive for operators to prioritise this approach. Responsible marketing compliance stands to be rewarded with more than a licence renewal, the operator is building trust from the AI system and is likely to repeatedly be cited or linked.
The Affiliate Relationship Shifts Again
Google volatility is not a new challenge for casino affiliates but this latest overhaul presents the biggest problem to date. Casino affiliates have previously developed their marketing approach around intercepting the player between asking the question and making a decision.
They would feature in rankings as a recommended site that is likely to answer the question. With an assistant now answering the question and providing a shortlist of options, there no opportunity for inception.
Going forward, the expectation is that the affiliates whose strategy is to provide a large volume of thin comparison pages will not fare well compared to those that have established a model that cannot be synthesised from somewhere else.
This means the affiliate sites that demonstrate market-specific expertise, genuine testing and verified withdrawal experience will be more likely to be selected for those prime citations in the AI overviews. If the AI system directly cites them as the source that answers the query, this will drive high volumes of traffic and ultimately, boost revenue.
In turn, direct organic visibility and brand strength will become a bigger strategic priority for operators, as affiliate traffic will be less predictable. Therefore, a shift from renting access to players through affiliates will move towards owning the access themselves. This will come at a cost but with paid customer acquisition increasing, there is more reason to try this.
Getting Understood, Not Just Ranked
If you are wondering what this work involves in practical terms, it looks quite different to the classic keyword-led search marketing strategies that worked well in the past. The new route to success will likely be based around entity clarity, to ensure that AI systems and search engines understand what the brand is, which market it serves, what it is predominantly authoritative on and how it compares to the other brands in its category.
This involves ensuring information is consistent across the site, through structured data and information that is backed up by credible third-party sources that recognise and advocate these areas of strength. The ultimate objective is being understood across these areas and this is where operators will be looking to focus their attention.
Organic acquisition becomes a bigger consideration, as the same commercially loaded searches are being competed for by operators, affiliates and comparison sites simultaneously. Additionally, paid gambling advertising is heavily constrained in most regulated markets.
These unique, gambling-specific challenges have turned iGaming SEO into a discipline of its own rather than a variant of general search marketing, with companies such as Big Pond Digital specialising in iGaming SEO for casino and sportsbook brands. The remit of an iGaming SEO agency has widened accordingly: casino SEO and sportsbook SEO now cover not just ranking positions but whether an operator is named at all when a player asks an assistant where to play.
The Measurement Problem
Unlike traffic volume and click-through dashboard metrics, AI-assisted discovery is more difficult to prove. The new metrics include fewer sessions, more direct and branded search from players who were pre-qualified elsewhere and higher-intent traffic.
Operators are now introducing new tracking methods aligned to the more relevant signals including:
- The share of AI citations
- Brand mention frequency in assistant responses
- The accuracy of what those systems say about them
It is still very early days but the operators who start understanding the shift and applying new SEO tactics to adapt to the changes are more likely to claim a mention when a player asks an AI machine which casino site to play.