Google Says GEO Is Just SEO, But AI Platforms Cite Differently

Google's Search Liaison says AEO and GEO are not separate disciplines, just SEO applied to AI surfaces. But fresh July 2026 testing shows Perplexity, Google AI Overviews and Microsoft Copilot pull citations from meaningfully different source pools, which means a single SEO strategy will not get you cited equally across all three. Brands need to treat AI visibility as a set of platform-specific tactics sitting under the SEO umbrella, not one uniform checklist.

What changed?

In the week of 20 July 2026, Google's Search Liaison reiterated that AEO and GEO are best understood as a subset of SEO rather than a separate discipline, according to a weekly SEO and AI review. The comment was framed as useful pushback against vendors pitching yet another acronym-branded service.

At almost the same time, new testing complicated that tidy message. Fresh July testing found that Perplexity tends to synthesise answers from a wide spread of third-party directories, review sites and forum threads rather than leaning on any single article, a meaningfully different pattern from Google's AI Overviews, which lean more on top-10 organic results, or Copilot, which leans heavily on LinkedIn for B2B queries, per the same SEO and AI weekly review.

That's a real contradiction worth sitting with. Google's official line is that there is one discipline, SEO, and AI visibility is simply a new output of doing it well. But if three major AI answer engines are drawing on structurally different source pools, optimising for one of them will not automatically get you cited by the others.

This lands against a backdrop of accelerating AI search adoption. ChatGPT now has 910 million weekly active users, while Google AI Overviews reach 2 billion monthly users across more than 200 countries, according to Frase's 2026 AI visibility guide. As of February 2026, 48% of tracked queries now trigger AI Overviews, a 58% year-on-year increase in AI Overview prevalence, the same guide notes.

The definitional debate matters because it shapes how marketing teams staff and budget for this work. July 2026 did not bring one single dramatic event, but it confirmed a market direction that has been building for months, according to an AI SEO news roundup, which noted that search is now split across at least two layers: classic search results, where pages still compete for clicks, and AI-generated answer environments, where systems synthesise, quote, cite and compress information before a user ever visits a site.

Why does this matter for your business?

If you have been treating "getting cited by ChatGPT" and "getting cited by Perplexity" as the same job, this research suggests you may be leaving visibility on the table in one platform while over-investing in another.

The practical difference is stark. Copilot's reliance on LinkedIn for B2B queries means a brand with strong executive presence and active company pages on LinkedIn has a real edge there, an edge that does nothing for how Perplexity assembles an answer from directories and forums. Meanwhile, Google's AI Overviews staying closer to top-10 organic rankings means traditional SEO fundamentals still carry real weight for that one surface specifically.

This nuance also explains a pattern several other studies have picked up. Trust in AI search is declining, consumers are validating information across more platforms, and AI visibility is increasingly tied to brand authority rather than traditional SEO metrics, according to Search Engine Land's coverage of research by Fractl. In 2025, 82% of consumers found AI search more helpful than traditional search results; by 2026, that figure had dropped to 54%, a 28 percentage point decline in a single year, the same coverage found.

For brands, that erosion in trust makes it more important, not less, to understand exactly which sources each engine leans on. A generic "be good at SEO" strategy will not close the gap if your buyers are asking Copilot on LinkedIn, Perplexity via forums and review sites, and Google AI Overviews via classic rankings, all in the same week.

There is also a governance angle. Earned media remains one of the more consistent levers across platforms. At the category level, earned and news media accounted for 37.6% of citation domain count in May, down slightly from 39.5% in April, suggesting a stable band of roughly 37% to 40%, according to Meltwater's AI search visibility report. By contrast, press release citation share fell from 0.4% in April to 0.2% in May, the sharpest category-level decline in the dataset, the same report found. That single data point undercuts any strategy that treats a wire distribution as a shortcut to AI citations.

What should you do now?

Start by mapping which AI platforms your actual buyers use, then check whether your content shows up in the source types each one favours. If your audience is B2B and Copilot-heavy, invest in LinkedIn thought leadership and company page activity, not just blog posts. If Perplexity matters to your category, get your brand mentioned and reviewed on the directories, forums and third-party sites that platform pulls from, rather than assuming your own website content is enough.

Don't drop classic SEO either. Because AI Overviews still lean on top-10 organic rankings, ranking well in traditional search remains one of the more reliable ways into that particular surface. Treat SEO fundamentals as the floor, not the whole strategy.

Build in a regular audit habit. Given how fast citation patterns are shifting between platforms, checking your AI visibility should be a recurring exercise rather than a one-off project; running your brand through a free audit tool like Sited's at sited.online is a quick way to see where you currently stand across these different engines before deciding where to invest.

Finally, resist the temptation to over-index on any single acronym-branded service pitch. Google's own position is that this is fundamentally SEO work extended to new surfaces, and there's truth in that. But treat "SEO" as an umbrella term covering genuinely different tactics for genuinely different platforms, not a single checklist that works everywhere at once.

Frequently asked questions

Is GEO or AEO really just SEO, as Google claims?

Partly. Google's Search Liaison has said AEO and GEO are best understood as a subset of SEO rather than a separate discipline, and many fundamentals do carry over. But since different AI platforms draw on different source types, as the Perplexity, Copilot and Google AI Overviews comparison shows, treating it as one uniform practice risks missing platform-specific opportunities.

Why does Perplexity cite different sources than Google AI Overviews?

Perplexity tends to synthesise answers from a wide spread of third-party directories, review sites and forum threads rather than leaning on any single article, while Google's AI Overviews lean more on top-10 organic results. The underlying retrieval and ranking systems behind each platform are built differently, which produces genuinely different citation behaviour.

Does LinkedIn really matter that much for Copilot?

According to the same July testing, Copilot leans heavily on LinkedIn for B2B queries. For B2B brands, that makes company page activity, executive posts and employee advocacy on LinkedIn a more direct lever for Copilot visibility than for other AI search platforms.

Are press releases still worth doing for AI visibility?

Not as a primary lever. Press release citation share fell from 0.4% in April to 0.2% in May 2026, the sharpest category-level decline in the dataset, according to Meltwater. Press releases still serve distribution and disclosure purposes, but earned editorial coverage is a far stronger AI visibility signal.

How can I tell which AI platforms are citing my brand right now?

The only reliable way is to check directly, since citation patterns vary so much by platform and query type. Free tools, including Sited's audit at sited.online, let you see where your brand currently appears across AI answer engines before you commit budget to a specific platform strategy.