Google no longer copies your text. It paraphrases it

Search Engine Roundtable spotted Google testing a new format for citation cards inside AI Overviews — those source cards that used to just quote a chunk of text straight from your page. Now there's an AI-generated summary sitting there instead. Not an excerpt. A paraphrase, written in the model's own words, based on how relevant your content is to the query.

Sounds minor. It isn't. It's a 180-degree turn in how optimization for AI search actually works.

You used to fight for the snippet. Now you fight for meaning

The whole featured-snippet game was built on one idea: phrase your paragraph so it's easy to lift whole. A tight definition, a clean answer to the question — and Google pulled your text word for word. You controlled the wording, because the wording was exactly what got copied.

Now that control is slipping away. The AI reads the page, extracts what it thinks is the point, and retells it however it sees fit. If your text is vague or loosely worded, the paraphrase can come out clumsy, inaccurate, or just not about what you actually said. And you can't fix it after the fact — because what gets quoted isn't your words anymore. It's the model's interpretation of your words.

Here's what that means in practice: polishing a pretty snippet in your meta description is pointless now. What you need to optimize is the content itself — structured so it's physically easy to break down into facts.

What this means for iGaming content specifically

This hits our niche particularly hard. Casino reviews, bonus terms breakdowns, bookmaker comparisons — this is exactly the kind of content where paraphrase accuracy matters most. If the AI misreads your wagering requirement or your operator's license terms, that's not just a lost SEO opportunity. That's a reputational risk and a trust problem with the end user.

What to actually do about it:

• Write in structure, not in flow. Headings, subheadings, lists — the AI needs to find fast where the fact is and where the filler is.
• Kill vague phrasing wherever precision matters: bonus terms, withdrawal timelines, wagering requirements — none of this should allow a second reading.
• Use structured data (Schema.org) for your key claims. It's not a guarantee, but it's a clear signal to the model about which statement is the fact worth quoting as-is.
• Stop obsessing over a pretty meta description snippet — it's not getting used directly anyway. Put that effort into the body text instead.

Check how you're actually being paraphrased

The most practical thing you can do right now: type in your core queries and look at how AI Overview describes your page. If the paraphrase is clumsy or misses the point, that's not the algorithm's fault. That's a signal your text doesn't parse well. Rewrite it, break it into cleaner blocks, add markup — then check again.

This is a new kind of technical content work. Not "write it and forget it" — constant checking against how the machine actually reads you. You used to write for a human and adjust a bit for the algorithm. Now you write for a human, adjust for the algorithm, and on top of that verify whether the AI paraphraser got you right. Three layers instead of two. That looks like the new normal.

If you need your content structure and site markup brought up to this standard, we've done exactly this work on iGaming projects — happy to talk it through as part of our services.