Companies are rushing to optimize for ChatGPT, Gemini, Claude, and Perplexity while considering cuts to the very investments that make them visible to those systems in the first place. That’s very risky and is a bad direction to go. The evidence suggests that AI optimization and SEO are complements—not substitutes.
Large language models don’t magically create knowledge. They synthesize it. Even AI systems with web access rely on authoritative websites, structured content, trusted publications, and technical accessibility to produce answers. If your brand disappears from the web because you stopped investing in SEO and high-quality content, AI has less reason—and fewer opportunities—to mention you.
Google’s own numbers illustrate why abandoning search would be premature. Google processes an estimated more than 5 trillion searches annually, a figure the company disclosed in 2025. Search remains one of the largest gateways to information, products, healthcare, and business decisions. AI interfaces are growing rapidly, but they have not replaced traditional search behavior.
Nor is AI sending enough traffic to compensate.
According to Similarweb, ChatGPT has experienced explosive user growth, reaching hundreds of millions of weekly active users. Yet referrals from generative AI platforms still account for only a small fraction of total web traffic for most publishers and brands. Organic search continues to dwarf AI-generated referrals across nearly every industry.
The economics also argue against abandoning SEO.
BrightEdge estimates that organic search continues to generate well over half of measurable website traffic for many organizations, while paid search accounts for a much smaller share despite consuming significantly larger marketing budgets. Organic visibility compounds over time. A well-ranked article can continue generating qualified visitors for years. AI optimization, by contrast, remains difficult to measure because brands have limited visibility into why one source is cited while another is ignored.
This doesn’t mean SEO should remain unchanged.
Traditional SEO focused heavily on keywords, rankings, and backlinks. Increasingly, brands should think in terms of “discoverability.” That means publishing original research, creating expert-authored content, implementing structured data, improving site performance, maintaining technical accessibility, and building a recognizable reputation across trusted digital sources. Those practices improve visibility in both conventional search engines and AI-generated responses.
Marketing leaders should also resist false tradeoffs.
Some agencies now pitch “AI optimization” as though it replaces SEO. That framing resembles earlier claims that social media would eliminate websites or that mobile apps would eliminate browsers. New channels emerge, but foundational digital assets remain essential.
The more practical approach is portfolio management.
Maintain investment in technical SEO and authoritative content while experimenting with AI-specific tactics such as optimizing for conversational queries, ensuring machine-readable content structure, monitoring AI citations, and publishing proprietary data that AI systems are more likely to reference.
In other words, don’t cannibalize your foundation to fund your experiment.
The winners in the AI era are unlikely to be the brands that abandoned SEO first. They will be the organizations whose content is so authoritative, accessible, and trustworthy that both humans and machines continue to find—and cite—it.
The future is not SEO versus AI.
Brands that understand that distinction will be far better positioned than those chasing the latest marketing buzzword while dismantling the infrastructure that made them discoverable in the first place.
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