The Internet Archive's Wayback Machine has been a quiet workhorse for affiliate marketers for years. Whether it's reviving expired domains, mining competitor data, researching historical content strategies, or recovering lost website assets, the tool's archive of over one trillion web page snapshots has been an invaluable resource for anyone working in performance marketing.
That resource is now under threat.
Major news publishers including The New York Times, The Guardian, the Financial Times, and Gannett's network of over 200 local news sites have moved to block or severely restrict the Internet Archive's crawlers from accessing their content. The reason is straightforward: they're worried that AI companies are using the Wayback Machine as a backdoor to scrape copyrighted content without authorisation or payment.
According to an analysis by Nieman Lab, 241 news sites from nine countries now explicitly disallow Internet Archive crawlers in their robots.txt files. That number has grown rapidly, with the majority of these blocks being implemented during 2025. Page captures among news publications dropped by 87% between May and October 2025 alone.
For affiliate marketers who rely on the Wayback Machine as part of their competitive intelligence toolkit, this is a significant development that demands attention.
The publishers blocking the Wayback Machine aren't doing so because they oppose web archiving in principle. Most have publicly stated their support for the Internet Archive's preservation mission. The issue is more nuanced and speaks to the broader war over content ownership in the AI era, something we've been tracking closely across the affiliate marketing industry.
When The Guardian reviewed its access logs, it found the Internet Archive was a frequent crawler of its content. Robert Hahn, head of business affairs and licensing at the publication, told Nieman Lab that the decision to restrict access was driven by concerns that AI businesses were looking for structured databases of content to feed their models, and the Internet Archive's API represented an obvious entry point.
The New York Times took an even harder line, implementing what it described as a “hard block” on Internet Archive crawlers and adding archive.org_bot to its robots.txt file at the end of 2025. Reddit has similarly moved to restrict access after reportedly catching AI companies scraping data through the Wayback Machine directly.
The concern isn't hypothetical. In May 2023, an AI company sent tens of thousands of requests per second to Internet Archive servers from virtual hosts on Amazon Web Services, causing the site to go offline temporarily. After the Archive blocked those IP addresses, another 64 addresses resumed the same activity hours later, triggering a second outage.
These incidents, combined with the broader scraping economy (valued at approximately $1.03 billion and projected to reach $2 billion by 2030 according to Corporate Compliance Insights), have pushed publishers from cautious monitoring into active defence. The recent launch of tools like OpenAttribution's PolicyCheck, which allows publishers to audit exactly which AI bots can access their content, reflects how seriously the industry is taking this threat.
Mark Graham, director of the Wayback Machine at the Internet Archive, has pushed back firmly against the publisher lockdowns. Writing in an op-ed on TechDirt, Graham acknowledged publisher concerns about AI scraping but argued that the Wayback Machine was built for human readers, not commercial extraction at scale. The Archive uses rate limiting, filtering, and monitoring to prevent abusive access, and actively responds to new scraping patterns as they emerge.
Graham's broader point carries weight: when publishers block the Internet Archive, they're not just stopping AI scrapers. They're removing their content from the historical record entirely. Journalists lose accountability tools. Researchers lose evidence. Courts lose reference material. And the web itself becomes more fragile and more susceptible to historical revisionism.
The Internet Archive, a 501(c)(3) nonprofit and federal depository library, has been building its web archive since 1996. It is fundamentally different from the commercial scraping operations publishers are rightly concerned about. Yet in the rush to block AI companies, it has become collateral damage.
As one computer scientist quoted in the Nieman Lab investigation put it, services like Common Crawl and Internet Archive are widely regarded as the “good guys” being exploited by “bad guys” like OpenAI. In the industry's blanket approach to blocking scrapers, the good guys are getting caught in the crossfire.
Here's where this story gets directly relevant for anyone in performance marketing. The Wayback Machine isn't just a digital history museum. For affiliate marketers, it has served multiple practical functions that are now at risk.
Expired domain research is getting harder. Affiliates who acquire expired domains often use the Wayback Machine to verify a domain's content history, check for previous penalties, and assess whether the domain's backlink profile aligns with its historical content. As more publishers restrict what the Archive can crawl, gaps in these historical records will grow, making due diligence on domain acquisitions less reliable.
Competitor analysis loses a data source. Understanding how competitor sites have evolved over time, what content strategies they've deployed, how their messaging has shifted, these insights have been freely available through the Wayback Machine. As we covered in our comprehensive guide to affiliate competitor analysis, tools like the Wayback Machine complement platforms like SEMrush and Ahrefs by providing historical context that keyword and backlink tools alone can't deliver.
Content recovery becomes less dependable. Publishers and affiliates who've lost website content through technical failures, hosting issues, or platform migrations have long relied on the Wayback Machine as a safety net. With archiving coverage declining, that safety net is developing holes.
Link building verification gets complicated. Checking whether a target site's historical content supports the relevance of a proposed backlink is harder when snapshots are incomplete or missing entirely.
These are practical, operational impacts that affect how affiliates work day to day. But the bigger picture is more concerning still.
The publisher lockdown on the Wayback Machine is part of a much larger trend reshaping how content flows online, and affiliate marketers are caught squarely in the middle of it.
Publishers are blocking archive crawlers for the same reasons they're fighting to maintain value in a zero-click search environment. AI systems are consuming their content, synthesising it into direct answers, and delivering value to end users without the publishers seeing any traffic or revenue in return. The affiliate marketing industry faces an identical problem. As we've explored in our coverage of how AI is reshaping influence and attribution, AI platforms are scraping affiliate content to inform purchase recommendations while cutting affiliates out of the commission chain entirely.
Google's expansion of AI Mode to over 180 countries has already caused significant organic traffic declines for affiliate publishers, with studies showing a 34.5% drop in position one click-through rates when AI Overviews are present. Publishers, media companies, and affiliate content creators are all being squeezed by the same dynamic: their content is being used, but they're not being compensated.
The Wayback Machine blocking trend is a symptom of that squeeze. Publishers are pulling up the drawbridge anywhere they see potential for unauthorised content extraction. And while their frustration is understandable, the collateral damage extends well beyond AI companies.
The practical implications are clear enough. If you're an affiliate marketer who uses the Wayback Machine as part of your workflow, you need to adapt before the tool's utility erodes further.
Archive what matters now. If there are competitor sites, historical content assets, or domain histories you may need to reference in future, don't assume they'll still be available in the Wayback Machine six months from now. Save local copies of anything strategically important.
Diversify your research toolkit. The Wayback Machine has always been one tool among many for competitive intelligence and content research. Platforms like SEMrush, Ahrefs, and SimilarWeb offer their own historical data capabilities that don't depend on web archiving. Our guide to the best tools for affiliate program management covers several options worth evaluating.
Build owned data assets. The broader lesson from both the publisher lockdowns and the AI scraping crisis is the same one we've been documenting across alternative traffic channel strategies: relying on third-party platforms for critical business functions is increasingly risky. Email lists, first-party data, proprietary research, these are assets nobody can block, scrape, or wall off.
Watch the robots.txt landscape. Nieman Lab's analysis found that 93% of the publishers in its dataset now disallow at least two out of four Internet Archive bots. Nearly all sites blocking the Internet Archive also block crawlers from OpenAI, Google AI, and Common Crawl. If you're running affiliate content sites, understanding how robots.txt policies are evolving across the publishing landscape is becoming essential operational knowledge.
What's missing from the current debate is any coherent framework for distinguishing between legitimate archiving, legitimate research use, and exploitative commercial scraping. Publishers are treating all automated access as a threat because, right now, they have no reliable way to differentiate between a nonprofit digital library preserving the historical record and an AI company hoovering up training data.
The Internet Archive says it's working directly with publishers on technical solutions. OpenAttribution is building standards for AI content transparency and licensing. But these are early-stage efforts operating against a backdrop of over 70 active lawsuits between publishers and AI companies, with no resolution in sight.
For affiliate marketers, this isn't just an abstract policy debate. The channels and tools that drive affiliate revenue in 2026 are being reshaped by these content ownership battles in real time. The publishers blocking the Wayback Machine today could just as easily restrict access to other tools and platforms affiliates depend on tomorrow.
The open web that performance marketing was built on is getting smaller. Affiliates who recognise that shift and plan accordingly will be better positioned than those who wait until the tools they rely on simply stop working.