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Google’s proposed findings of fact in the U.S. Department of Justice’s search-antitrust case disclosed new details about DuckDuckGo and Neeva—including their users, revenue, funding, infrastructure and eventual business outcomes. The details show why competing with Google requires more than a credible search interface. Rivals also need distribution, a large and constantly updated index, search-advertising scale and a business model that can survive the cost of reaching mass-market users.
However, the filing must be read carefully: it was Google’s litigation submission, not a neutral set of final court findings. Google used the competitors’ limitations to argue that its position reflected product quality and innovation. The court later ruled, in August 2024, that Google unlawfully maintained monopolies in general search services and general search text advertising.
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What Google’s filing actually was
On February 23, 2024, reporting on Google’s proposed findings of fact brought additional details from the DOJ’s federal search-monopoly case into public view. Proposed findings are arguments submitted by a party after trial. They can cite testimony, documents and evidence, but they are not themselves the judge’s final factual conclusions.
Google’s purpose was to show that it faced meaningful competition from general search engines, specialized services, social platforms and emerging artificial-intelligence tools. Its filing emphasized that DuckDuckGo and Neeva faced business and technical obstacles that were not necessarily caused by Google’s conduct.
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That distinction matters. Statements about user numbers, revenue and executive testimony can be useful evidence. But claims about how a company used financing, or what those facts supposedly prove about competition, should be attributed to Google unless they were independently adopted by the court.
The contemporaneous report from TechCrunch and the underlying DOJ-hosted filing described two very different challengers: DuckDuckGo, a profitable privacy-focused service with significant usage but limited query share, and Neeva, a technically ambitious subscription search startup that ultimately left consumer search.
DuckDuckGo had a real audience—but far less search activity
According to Google’s account of the evidence, DuckDuckGo had been profitable since 2014. Its U.S. search-advertising revenue came from ads supplied by Microsoft, meaning its privacy-focused search product still depended on an outside company for a crucial part of monetization.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallDuckDuckGo estimated that it had approximately 100 million users globally in 2021. That figure should not be interpreted as 100 million daily users, nor as 100 million people conducting most of their searches through DuckDuckGo.
The filing also cited an estimate that DuckDuckGo handled about 2.5% of general-search queries in the United States. It contrasted that with survey-based estimates suggesting that about 10% of U.S. people identified as DuckDuckGo users.
Those numbers measure different things:
- Users: people who may have used or identified with the service during a period.
- Query share: the portion of all measured searches handled by the engine.
- Frequency: how often an individual chooses the service instead of Google, Bing or another option.
A privacy-conscious person might use DuckDuckGo for selected searches while continuing to use Google for maps, shopping, local businesses, work or highly personalized queries. As a result, a service can have meaningful recognition and a loyal audience without handling a comparable share of total searches.
The geographic figures were smaller still. DuckDuckGo reportedly accounted for about 0.6% of mobile search queries in Europe in August 2023, while its total share varied by country from approximately 0.5% to 2.5% during 2023. These are device- and geography-specific measurements, not a worldwide usage figure.
The independent-index question
Google’s filing said DuckDuckGo had not built a comprehensive independent web index for organic results. That does not mean DuckDuckGo had no search technology or that its product was merely a fake interface. The company employed people to improve search, and the filing said it had about 50 employees in 2018, with roughly one-third working on search improvement.
But owning more of the underlying search stack can make a major competitive difference. A general-purpose engine must crawl the web, maintain an index, rank results, detect spam, refresh outdated pages, operate large-scale infrastructure and evaluate quality across an enormous range of queries.
A company can reduce costs by licensing or syndicating some results from another provider. That approach can help a challenger launch quickly, but it also creates dependence on a supplier. The search company may have less control over ranking and freshness, face contractual limits, and find it harder to distinguish its product from other services using similar results.
The trade-off is not binary. A search engine can own important layers—such as its interface, privacy protections, ranking adjustments, specialty indexes or answer systems—without maintaining every web page in a fully independent index. The relevant question is how much of the technology and user experience the challenger controls.
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The DOJ’s post-trial materials described a U.S. general-search market that included Google, Bing, Yahoo and DuckDuckGo, while noting that many other services syndicated some or all of their results from Google or Bing. That distinction helps explain why “competition exists” does not automatically mean every competitor has the same ability to constrain Google. See the DOJ post-trial brief for the government’s market discussion.
Funding allegations and the Apple default decision
Google’s filing alleged that most of DuckDuckGo’s $10 million 2018 financing was distributed to shareholders. It also alleged that some portion of a $100 million 2020 financing round was returned to shareholders, although the precise amount was redacted.
These were Google’s characterizations in litigation—not an established judicial finding that DuckDuckGo improperly used investor money. They may be relevant to Google’s argument about the company’s investment priorities, but they should not be presented as independently proven misconduct.
The filing also reported that Apple executive Eddy Cue rejected making DuckDuckGo the default search engine in Safari, saying it was not a good choice for customers. That testimony reflects Apple’s assessment of product suitability; it is not proof that DuckDuckGo was technically incapable or that privacy-focused users did not value it.
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Neeva tried to make search a paid, ad-free product
Neeva took a different route. It was founded in 2019 by former Google executives Sridhar Ramaswamy and Vivek Raghunathan. Ramaswamy had held senior Google roles connected to advertising, commerce, search infrastructure and privacy.
The company’s central proposition was ad-free search funded by subscriptions. Instead of relying primarily on advertising, Neeva sought to persuade users to pay for a cleaner and more private search experience.
That model offered an appealing incentive structure. Without search ads, the product could focus more directly on users rather than commercial targeting. But it also removed the familiar revenue stream that makes ordinary consumer search free.
By 2022, Neeva had more than 600,000 users, most of whom were reportedly not paying customers. It initially used Microsoft Bing results while developing its own search technology. By 2022, Neeva said it was using its own ranking techniques and believed its results were comparable to Google’s and better than Bing’s.
The company used machine learning and natural-language processing, along with licensed anonymous commercial datasets to train models. It also launched NeevaAI, a generative-AI search feature designed to provide more direct answers rather than simply a list of links.
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According to Ramaswamy’s testimony, Neeva reached several million unique users per month at its peak. Yet the filing discussed subscription revenue of less than $1 million at the relevant time. The figures illustrate the difference between attracting curiosity, generating usage and building a paying customer base large enough to support an independent search operation.
Why Neeva left consumer search
Neeva shut down its consumer search engine in May 2023 and refunded customers. It then pivoted toward enterprise software. Snowflake acquired Neeva for approximately $184.4 million in cash, according to the later court materials cited in the case.
The transaction should not be described as a purchase of a still-operating consumer search engine. The consumer product had already closed. Nor does the pivot prove that Neeva’s technology had no value. Enterprise search and data retrieval can offer a clearer route to revenue because businesses may pay for specialized tools, workflow integration, security and access to their own information.
Neeva’s outcome also cannot be reduced to “people will not pay for search.” Several factors worked together:
- Consumers are accustomed to receiving general web search for free.
- A subscription must overcome the convenience of a browser, phone or account default.
- User totals do not necessarily produce enough paying subscribers.
- Search quality must hold up across millions of unpredictable queries, not only in demonstrations.
- Building an independent index and related infrastructure is expensive.
- Generative-AI answers can differentiate a product but increase computing costs and introduce accuracy, citation and latency risks.
- Venture investors generally need to see a path to very large scale, not merely a technically impressive product.
In that context, the enterprise pivot may have been a more attractive business decision than continuing to subsidize mass-market search.
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Free, ad-supported search
DuckDuckGo represents a privacy-oriented, ad-supported model. It removes the direct payment barrier for users, but advertising revenue depends on query volume, commercial intent, advertiser demand and the terms offered by ad-syndication partners. Smaller scale can make it harder to fund indexing, quality improvements and distribution.
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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minutePrivacy positioning can also create a product trade-off. Avoiding certain forms of personalization may be valuable to users, but it can limit session continuity or signals that help tailor results. That does not make privacy a defect; it means privacy and personalization can involve competing design priorities.
Paid, ad-free search
Neeva represents the subscription model. It promises clearer incentives and avoids search advertising, but the customer must perceive enough value to pay every month. A premium search engine needs a durable advantage beyond simply showing fewer ads—such as superior answers, privacy, research tools, productivity features or integration with valuable data.
Distribution may matter as much as ranking
Search is unusually dependent on defaults. The search box is built into browsers, phones, operating systems and voice assistants. A default engine receives repeated opportunities to become habitual, while a rival often requires the user to discover it, change a setting and remember to return.
That creates a feedback loop: more queries can produce more revenue, which supports more infrastructure and quality work, which can make the service more attractive to users and distributors. A challenger may have a strong product but too little distribution to generate the scale needed to compete.
This is also why the antitrust question cannot be answered solely by comparing algorithms. Index ownership, advertising access, default settings, data availability, switching costs, partner contracts and capital all influence whether a rival can expand.
What Google was trying to prove—and what changed later
Google’s filing used DuckDuckGo and Neeva to argue that its dominance resulted from product quality, convenience and innovation. It pointed to competitors’ limited scale, infrastructure choices and monetization problems. It also argued that users could choose specialized search services, social platforms and emerging AI tools.
Those are advocacy points in a legal case, not proof that Google’s distribution practices were lawful. In August 2024, the District Court for the District of Columbia ruled that Google unlawfully maintained monopolies in general search services and general search text advertising.
The remedies process later produced a December 5, 2025 final judgment. The DOJ says the judgment restricted certain exclusive distribution arrangements, required specified data access for qualifying rivals and required Google to offer search and search-text-ad syndication to eligible competitors. These measures were intended to address some of the barriers that make it difficult for challengers to reach users and monetize searches.
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Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →The case was not necessarily procedurally finished in every respect. As of August 18, 2026, the DOJ case page listed continuing status reports and appellate proceedings. The DOJ’s remedies announcement describes the government’s view of the judgment, while Google’s appeal statement sets out Google’s opposing position. Readers should therefore distinguish the liability ruling, the remedies judgment and the still-developing appeals process.
What this means for people choosing a search engine
For consumers, the filing offers a practical distinction between different kinds of alternatives. DuckDuckGo may appeal to people prioritizing privacy and tracker reduction, while Brave Search and Brave Browser offer another privacy-focused browser-and-search ecosystem. Bing remains a major general-search alternative, although it is part of Microsoft’s search and advertising ecosystem. Google Search remains the incumbent baseline, particularly for users who value account integration, personalization and broad local coverage.
No single service necessarily wins on every query. A user might prefer one engine for private research, another for maps or local businesses and another for work-related integration. The important point is that changing the search box does not by itself eliminate the underlying infrastructure and distribution challenges faced by search companies.
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