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Chegg sued Google and Alphabet on February 24, 2025, in the U.S. District Court for the District of Columbia. Chegg alleges that Google’s AI Overviews use information drawn from Chegg’s educational content to answer users’ questions directly in search, reducing the clicks, customer acquisitions, and subscriptions Chegg historically generated from Google referrals.
The case remained unresolved in Chegg’s latest filing available for this article. Chegg’s Q1 2026 Form 10-Q said Google had moved to dismiss the amended complaint on July 25, 2025, and that the proceedings were still in their early stages. No court finding established that Google caused Chegg’s decline, violated antitrust law, or owed Chegg damages.
The short version
Chegg’s business funnel traditionally looked like this:
Search query → click to Chegg → answer or explanation → possible paid subscription.
AI Overviews can change that sequence to:
Search query → Google-generated answer → no visit to Chegg.
Chegg argues that Google controls the distribution channel it relied on, uses third-party content to make its own search answers more useful, and then keeps users on Google instead of sending them to the sites that supplied the underlying information. The lawsuit asks whether that conduct is merely aggressive competition or unlawful exclusionary conduct under antitrust law.
What Chegg sued Google over
The defendants named in Chegg’s filings are Google LLC and Alphabet Inc. The challenged product is Google’s AI Overviews, which place an AI-generated response prominently in Google Search, with traditional links generally appearing below or alongside the answer.
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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesAccording to Chegg’s complaint, Google:
- Has substantial or monopoly power in general internet search.
- Requires, pressures, or strongly incentivizes websites to make content available for crawling and indexing if they want search visibility.
- Uses material from those websites to generate AI answers.
- Places AI Overviews prominently above conventional search results.
- Gives users enough information that they may not need to open the source page.
- Diverts traffic and potential customers away from sites such as Chegg.
These are Chegg’s allegations, not established facts. The original complaint describes Chegg’s theory in detail.
Why a lost click matters to Chegg
For a subscription education company, a search visit is more than a page view. It can be the first step in acquiring a paying customer.
A student searching for help with a homework question might previously have landed on a Chegg answer page. That visit could introduce the student to Chegg’s explanations, tools, and subscription offer. If Google provides a sufficient answer before the student opens Chegg, the company may lose both the visit and the opportunity to convert it into revenue.
That is the central distinction in Chegg’s case: it is not simply claiming that AI competes with educational websites. It is arguing that Google owns the search gateway, relies on content from sites that need access to that gateway, and is now using the resulting information to offer a competing answer experience on Google’s own page.
What damage did Chegg report?
Chegg’s filings identify Google AI Overviews and broader generative-AI adoption as business headwinds. The company has said those trends have contributed to reduced website traffic, weaker customer acquisition, fewer subscribers, and pressure on revenue and operating performance.
The Washington Post reported that Chegg’s non-subscriber traffic fell 49% year over year in January 2025, compared with an 8% decline reported in the second quarter of 2024. That is an important measure of the business pressure Chegg described, but it is not court-verified proof that Google AI Overviews caused the entire decline.
Traffic and revenue changed during a period when several forces were operating at once, including ChatGPT, competing AI tools, changes in student behavior, Chegg’s own pricing and product decisions, and broader pressure on online education services. Establishing how much damage was specifically caused by Google would require evidence about search exposure, click-through rates, customer conversion, alternative explanations, and financial loss.
ChatGPT is a major qualification
Chegg’s decline cannot fairly be described as a Google-only story. Students began using free and paid generative-AI tools, particularly ChatGPT-like services, before Google broadly expanded AI Overviews in August 2024.
Chegg’s own disclosures describe the wider adoption of generative AI as a continuing threat. The more defensible interpretation is that Google’s AI search product may have intensified an existing disruption by intercepting searches that once sent users to Chegg.
That distinction matters legally and financially. A company can suffer real harm from a new technology without proving that a particular competitor violated antitrust law. Chegg still has to connect Google’s conduct to legally cognizable injury rather than to general competition from AI or the ordinary decline of a subscription model built around search referrals.
Chegg’s legal theories
Federal antitrust claims
Chegg’s antitrust theory goes beyond an accusation that Google copied content or produced unreliable answers. In substance, Chegg argues that Google used power in general search to favor its own AI answer product, obtain value from third-party content, and reduce the traffic available to publishers that depend on search.
To succeed, Chegg would generally need to establish legally relevant markets, Google’s power in those markets, exclusionary or otherwise unlawful conduct, antitrust injury, and a causal connection between the alleged conduct and the damages claimed. The existence of a prominent AI answer does not automatically satisfy those requirements.
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Chegg also asserted an unjust-enrichment claim. Its position is, broadly, that Google should not benefit from Chegg’s content and investment while allegedly diverting the users and economic value that the content helped attract.
That is a separate theory from antitrust and has its own pleading, proof, and remedy questions. The case is therefore not primarily a copyright lawsuit based on the materials described in Chegg’s filings, even though the complaint discusses crawling, content use, and the quality of AI-generated answers.
What Chegg asked the court to do
Chegg’s 2025 Form 10-K says the company sought:
- Damages;
- Restitution;
- Disgorgement; and
- Injunctive relief.
Those were requested remedies, not an award. A court could ultimately reject the claims, award money, impose operational restrictions, or provide another remedy. Even a favorable judgment would not automatically restore Chegg’s former traffic or subscriptions.
Where the case stands
The lawsuit was filed on February 24, 2025, in the U.S. District Court for the District of Columbia. Available docket reporting identifies the case as 1:25-cv-00543-APM, before Judge Amit P. Mehta.
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Chegg’s Q1 2026 Form 10-Q states that Google moved to dismiss the amended complaint on July 25, 2025. Chegg said the matter was in its early stages and that it could not predict the outcome.
A motion to dismiss is a procedural challenge to the complaint. It is not a finding that Google is liable, and filing the lawsuit itself is not proof that Chegg’s allegations are true. Based on the materials available for this article, there was no established judgment awarding Chegg damages or ordering changes to AI Overviews.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why publishers are watching
The dispute captures a difficult trade-off for websites that depend on search:
- Search access: Publishers need indexing and rankings to be discovered.
- AI access: The same crawling and indexing can help a search engine generate direct answers.
- Lost conversion: A user may see a source citation but still have no reason to visit the source.
- Opt-out risk: Blocking AI systems may also affect conventional search visibility, depending on the controls and policies involved.
This is the emerging zero-click search problem. A publisher can remain visible while receiving fewer visits, which means attribution alone may not preserve the advertising, subscription, or lead-generation revenue attached to a click.
Chegg’s case does not create a final rule for every publisher. But its theory could influence how courts, regulators, and online businesses think about a platform that both distributes third-party content and offers a competing answer product on the same page.
Three issues to keep separate
1. Business harm
Chegg reports weaker traffic, customer acquisition, and subscriptions. That harm may be genuine even if the lawsuit ultimately fails.
2. AI answer quality
Chegg’s criticism that AI-generated answers may be unverified or lower quality is part of its framing. Accuracy and educational quality are important public-interest questions, but they do not by themselves prove an antitrust violation.
3. Antitrust liability
The legal question is whether Google’s conduct unlawfully excludes rivals or harms competition, rather than simply offering a popular new search feature that competes with Chegg.
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In September 2025, the Federal Trade Commission announced a $7.5 million settlement with Chegg concerning subscription-cancellation practices. That matter involved Chegg’s consumer subscription procedures, not Google AI Overviews or the antitrust claims described here. It should not be treated as evidence that either side has prevailed in the Google lawsuit. The FTC case page provides the separate matter’s details.
What the lawsuit could mean for Chegg and Google
For Chegg, the lawsuit may provide a path to seek compensation or changes to how Google’s AI search product uses and presents third-party information. But litigation cannot by itself reverse students’ shift toward free AI tools, and a successful claim would still require proof of causation and a workable remedy.
For Google, the case raises the question of whether integrating AI answers into a dominant search product is simply product innovation or an unlawful use of control over search distribution. The answer could affect how search companies combine indexes, generative AI, citations, and publisher controls.
For publishers, the practical issue is even broader: whether supplying information to a search platform remains economically viable when the platform can summarize that information without sending the user to the source.
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