SEO in Betting: 2026

Many say that SEO in iGaming is a game reserved for giants with massive budgets. Do you think there’s a chance for solo operators or small teams to break into the betting search results?

It really is a big game for giants with deep pockets; typically, large teams just keep growing over time because they acquire smaller players (to prevent them from becoming competitors). Such deals are becoming increasingly common year by year. So, small teams do have a chance to make money. However, such a team likely needs prior experience in the betting sector, solid expertise with expired domains—specifically launching PBNs—and a strong grasp of link building.

A key asset here is programmatic SEO. You need to maintain the site’s ranking for "evergreen" keywords (like "best bookmakers" or "new betting sites") while simultaneously capitalizing on event-driven traffic. If you can get the Googlebot to "take up residence" on your domain, you gain access to rapid reach via Google News and Discover. This allows you to capture users interested in specific matches or predictions and instantly draw them to your site.

Take a long-term approach to pages targeting core keywords, but be aggressive in capturing event-driven traffic in the short term. Acquire new players through breaking news and predictions, then funnel that traffic to your main, high-converting sections.

Is there a chance for solo operators? I don't think so.

Betting vs. Gambling: what is the key difference in SEO approaches between these verticals? Why can’t you simply copy a strategy from a casino site to a betting portal?

To some extent, strategies can—and should—be replicated. This applies primarily to "evergreen" content: the approaches to promoting "best online casinos" and "best bookmakers" are virtually identical.

The link-building tactics, page lifecycles, and long-term internal linking strategies are the same. In both verticals, you are playing the long game, systematically boosting the authority of specific landing pages month after month.

A gambling resource is typically compact: a set of pages designed for longevity and steady growth. A betting project, by contrast, is a massive news and forecasting portal featuring a vast array of content types. It is geared toward event-driven traffic, which acts as "fuel" to drive users to the site's core ranking and "best-of" lists.

Given this complexity, while gambling experience is an asset, success in betting relies more on a background in large-scale news sites or e-commerce projects. You need the ability to manage massive volumes of data and diverse content formats in real time.

How profitable is it to create websites for specific events—like the Champions League Final or the Ice Hockey World Championship—compared to general review portals?

It’s a strategy with nuances. An event-specific domain needs to either come back to life frequently (like the Champions League) or pay for itself instantly. Spending a year preparing for an event just to capture traffic for a single month isn't a great tactic. That approach is closer to "doorway pages": launch quickly, skim the cream, and then get banned. For one-off tournaments (held every 2–4 years), it requires too much long-term planning given the short monetization window.

As for languages: it’s easier to promote sites in regions where you have language proficiency and access to local links and domains. Otherwise, it doesn't really matter. Domain extensions aren't critical either; you can use either local or international ones. An example of a local domain is https://world-cup2026.ru/.

I advocate for developing review sites with a long-term perspective. You can steer them toward specific niches (MMA, soccer, hockey), but it’s better to consolidate everything into large sports hubs. Instead of creating a new site for a tournament, you simply dedicate a robust section of your main portal to it. This saves on costs and allows you to manage traffic flexibly after the final is over.

The trust factor (E-E-A-T). What are 2–3 critical tactics right now to ensure a site doesn't get hit by a penalty within a month?

E-E-A-T in itself is no guarantee against being hit by an anti-spam filter. These days, a site surviving for a month is actually a decent achievement. Simply having a "real author" or a link to social media counts for nothing if Google doesn't recognize that person as an expert in a specific niche. Here is an example from https://legalbet.ru/.

We have experimented with both real and fictional authors across various projects; without established trust, the result is always zero. If Google lacks an entry for a specific person in its Knowledge Graph, that person effectively does not exist in its eyes. The trust factor only comes into play when a complete equation of various factors aligns.

For E-E-A-T to work, the author must be verified by Google as a subject-matter expert (e.g., in football). Mentions of the expert must be corroborated by external sources, such as links from their personal social media profiles or citations on other trusted websites.

Only when Google links the individual from its Knowledge Graph to your site will it transfer a portion of that weight and authority to the specific page. It is a complex process: you must prove to the search engine that this specific professional was involved in creating the content. Any other attempts to manipulate author attribution are simply a waste of time.

AI Content: How do you use AI so it doesn't look like spam and actually ranks?

Search results are clogged with AI-generated junk that is failing to rank. The biggest mistake is simply asking the AI ​​to "make it look good." Without a clear structure, the text devolves into generic phrases under headings that fail to answer the actual question.

The key takeaway: every content block must directly address its heading. If you’re writing about team rosters or salary caps, stick to the facts—don't just churn out filler text to boost word count. Mindless keyword stuffing no longer works. To turn AI into an expert, you need to feed it actual expertise right from the start.

Quality content isn't created with the push of a single button; it requires deep research at the outset. We use a RAG system (a knowledge base) or provide rich, real-time context so the AI ​​fully grasps the topic.

You need a comprehensive brief to start: define the AI's role, the structure, specific conclusions, and even a list of key phrases. You must outline, step-by-step, exactly what should go under each subheading. Only when the AI ​​understands the boundaries and possesses the necessary factual data will the output be the kind of content Google deems useful.