Commoditization of AI Search Infrastructure
Product manager at Cohere on enterprise AI search infrastructure and deep research agents
The real risk is that AI search infrastructure is becoming a feature market before it becomes a durable platform market. Exa, Tavily, and Parallel all sell ways for agents to pull fresh web information, but internal buyer feedback suggests quality is converging and vendors are still interchangeable enough that customers keep architectures loose and can swap providers without major pain. That is what low barriers to entry look like in practice.
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The product itself is fairly modular. A company like Cohere can buy search from a vendor instead of building crawling, ranking, and freshness pipelines in house, but it can also change vendors later because search sits behind an API layer rather than deep inside the customer workflow.
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The crowded field is not hypothetical. Tavily was founded in 2023, Parallel in 2023, and Exa has scaled to about $10M annualized revenue by September 2025, while buyers also evaluate Brave and others. Fast formation and fast revenue growth signal a hot market, but also a market many teams can enter.
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That pushes differentiation up the stack. If everyone can return decent links and snippets, the winner will be the one that offers something harder to copy, such as better domain coverage, lower token costs, custom integrations, or a full workflow product the way Perplexity and Glean are moving beyond raw retrieval into habit forming interfaces.
Over time, standalone search APIs will need to become either specialized data pipes for high value domains or part of a broader agent product. Otherwise the likely end state is compression from both sides, with startups undercutting on price below them and Google, OpenAI, and other platform companies bundling search above them.