For most brands, search visibility starts with Google. Rankings are stable, traffic is consistent, and the metrics look healthy.
At the same time, a different kind of search is growing. For example, when someone asks ChatGPT which digital marketing agency to work with in Indonesia, the results look nothing like Google SERP.
Different sources appear, different brands get cited, and the signals that drive visibility are fundamentally different.
AI search is forming its own visibility layer and most brands are only beginning to build for it.
Also Read: Navigating SEO Trends in 2026 and Predictions for the Future
The Numbers That Should Change the View of Search
The data makes visibility gap concrete. According to Similarweb (2025), AI platforms collectively generated 1.13 billion referral visits in June 2025 alone, a 357% increase from the year before. And yet, according to Semrush (2025), fewer than 10% of sources cited by those same AI models actually rank in the top 10 of Google’s organic results.
That number suggests the two channels aren’t just operating differently. They’re largely drawn from entirely different pools of content.
For teams still measuring visibility through traditional SEO tools, it’s worth asking whether those tools are capturing the full picture.
How AI Search Decides What to Cite
Traditional SEO is a game of signals: backlinks, authority, click-through rate, page speed. Google’s algorithm is trained to surface what users click on most, refined over decades of behavioral data.
AI search works differently. These models don’t rank pages; they synthesize answers. When they cite a source, they’re asking “which content most clearly and directly answers this question?” rather than “which site has the most links?”
The implication is significant: a well-structured article from a mid-authority website can outperform an SEO-optimized page from a household name, simply because the content is more useful to the model’s reasoning process.
Each model also has its own citation preferences. Gemini pulls 52% of its citations from brand-owned websites, favoring structured, factual content. ChatGPT draws more from directories and third-party platforms, while Perplexity leans toward editorial sources with clear authorship.
Despite these differences, all three converge on the same requirement: content that is clear, structured, specific, and trustworthy. Generic advice, brand-voice content without substance, and landing pages optimized for keywords but lacking insight simply don’t get cited.
The Brand That Gets Cited vs. The Brand That Does Not
Observing who appears in AI responses reveals a consistent pattern. It is rarely the brands with the biggest ad spend. Instead, visibility belongs to the brands that publish clear, expert-level content with a consistent point of view.
In traditional search, visibility can often be bought through aggressive bidding or massive backlink campaigns. In AI search, such tactics are ineffective. AI models evaluate whether content is useful enough to include in a synthesized answer, and retargeting budgets do not factor into that equation.
What gets cited:
- Specific, well-structured information that directly answers real questions.
- Clear authorship from a named expert with a real perspective.
- Evidence of first-hand experience and original insights.
- Consistent publishing that demonstrates depth over time.
- Technical structure including proper headers and semantic HTML.
What doesn’t get cited:
- Generic “what is X” articles lacking original insight.
- Content written primarily to match keyword patterns.
- Thin pages lack reasoning depth.
- Lack of authorship, perspective, or specificity.
GEO Is Not a Rebrand of SEO
Google still drives enormous traffic, and organic search rankings still matter. While maintaining a traditional SEO strategy is critical, recognizing that it no longer covers the full visibility picture is equally important.
The brands building competitive advantage over the next few years will likely be those building two-track visibility. This involves creating content that ranks well on Google and content that gets cited in AI search.
Both tracks require quality and relevance, but they operate differently. Treating them as the same discipline often leads to invisibility in the channels where audience attention is moving.
A term is emerging for this second track: GEO, or Generative Engine Optimization. This discipline focuses specifically on making content legible, trustworthy, and useful to AI models. Most brands have not started yet, which creates a window to build an early advantage.
Closing the Visibility Gap
The diagnostic starts with a simple test: if someone asked an AI assistant about the category or industry, would the brand appear? Most teams do not know the answer, and closing such a gap is the first priority.
From there, a second question follows: what would need to be true for the brand to appear? This analysis tends to reveal more about content gaps than any keyword report ever could. For most organizations, the path forward involves:
- Publishing expert-level depth instead of high-volume generic content.
- Addressing the specific questions actual buyers are asking.
- Building source credibility alongside traditional domain authority.
- Structuring data so AI models can extract clear, citable answers.
Building AI search visibility is a long-term discipline, and the brands that start now will likely see a compounding advantage as the shift accelerates. The visibility gap is widening. The primary question for marketing teams is whether they want to be visible where the buyers are already looking.
Also Read: Maximizing Your Website’s Performance with Technical SEO
Ready to Build Two-Track Visibility?
Most teams are still running a single-channel strategy that is strong on Google but invisible in AI responses. Closing that gap starts with identifying where the content blind spots actually are.
At Antikode, we work with brands to audit AI search presence and build content strategies that earn citations, not just rankings. Curious where a brand stands? Let’s start a conversation with us.