Do Gaming Sites Block AI Crawlers? Sealed robots.txt Data

Gaming publishers have drawn the clearest line in the web against AI crawlers. 8 of 9 Gaming sites block at least one AI crawler — a block rate of 88.9%, the highest of any content category in our June 2026 snapshot across 260 sites and 24 categories. Only steampowered.com extends a fully open robots.txt to every AI bot we tracked. Every other major gaming property — from editorial outlets to platform giants to publisher websites — has explicitly locked at least one AI operator out of its content.

A robots.txt file is a plain-text instruction set that websites post at their root URL to communicate crawl permissions to automated bots; it is an honor-system standard, not a technical enforcement mechanism. This report presents verbatim counts from a sealed snapshot of public robots.txt files collected on June 14, 2026. The snapshot is content-addressed with sha 834f1e2f07af24fd, meaning the underlying data cannot be altered after the fact. To be explicit, nothing is estimated, modeled, or extrapolated — every figure here is a direct read from that sealed file.

Key Takeaways

8 of 9 Gaming sites block at least one AI crawler. That 88.9% block rate places Gaming at the top of all 24 categories we checked.

Across the full corpus of 223 sites with a parseable robots.txt, 104 block at least one AI crawler — a corpus-wide rate of 46.6%. Gaming sits dramatically above that line.

CCBot, operated by Common Crawl, is blocked by 85 sites across all 223 surveyed — making it the single most-blocked bot in the corpus.

Only steampowered.com allows every AI crawler among the Gaming sites we checked. Every other gaming domain in our set has issued at least one disallow against an AI operator.

Anthropic is blocked by 80 sites corpus-wide — the second-highest operator count in our leaderboard of 12 operators.

The uniformity of Gaming's blocking stance is the defining feature of this category. When a single holdout site represents the entire open fraction, the category has effectively reached consensus — even if that consensus is informal and honor-system only.

Gaming Sites: The Snapshot

The table below presents the raw counts for the Gaming category as read from the June 14, 2026 sealed snapshot.

All 9 Gaming sites in our set returned a parseable robots.txt file. That is notable against the corpus backdrop: across all 260 sites we checked, 223 returned a parseable file. Gaming as a category achieved full robots.txt coverage in this snapshot.

The 8 blockers are ign.com, gamespot.com, polygon.com, kotaku.com, pcgamer.com, ea.com, nintendo.com, and rockstargames.com. These span editorial coverage sites, a major digital storefront, a platform holder, and a publisher — suggesting the blocking impulse runs across every sub-segment of the gaming industry, not just one corner of it.

The one allower is steampowered.com. Steam's open posture is consistent with its role as a platform that hosts third-party content and may have different incentive structures around discoverability. Its robots.txt at the time of the snapshot did not disallow any of the AI crawlers we tracked.

How Gaming Compares Across All 24 Categories

The cross-category table below is drawn directly from the sealed snapshot's allCategoriesRanked data. Category names appear exactly as labeled in the snapshot. No rank column is included — the block rate column orders the picture.

Gaming leads at 88.9%. News is the only other category in the same high-blocking tier. The corpus-wide rate of 46.6% sits between Science (50%) and Automotive (44.4%). Gaming's 88.9% is nearly double that corpus average. The Nonprofit category is the only one at a 0% block rate — no Nonprofit site in our set blocked any AI crawler.

Gaming's 88.9% block rate is the highest of any content category in the June 2026 Closing Web snapshot across 24 categories.

The gap between Gaming and the next cluster of categories (Food at 70%, Tech at 69.2%) is substantial. Gaming is not just high — it is in a category of its own at the top of the distribution.

Why Gaming Leads the Blocking Charts

The concentration of blocking in Gaming is not random. Gaming editorial content — reviews, guides, wikis, news coverage — is dense, highly structured, and the kind of material that AI training datasets would prize. Sites like ign.com, gamespot.com, polygon.com, and kotaku.com produce years of game coverage at scale. That content has direct economic value as training material for AI systems capable of discussing games with users.

The platform and publisher sites present a different calculus. ea.com, nintendo.com, and rockstargames.com hold rights to game characters, storylines, and marketing assets. Their blocking may reflect a more defensive IP concern: they do not want AI systems trained on their content producing outputs — images, text, character dialogue — that could compete with or complicate their own products.

pcgamer.com rounds out the blockers as a high-volume editorial site with a long archive of reviews and hardware coverage. The pattern across all 8 blockers is consistent: these are content-rich properties with clear IP or commercial interest in controlling how their material is used downstream.

steampowered.com is the sole Gaming site in our snapshot that allows all AI crawlers.

Steam's open stance may reflect the platform-holder perspective: third-party developers list their games on Steam, meaning Steam itself does not hold the same concentrated first-party IP as a publisher like Rockstar or Nintendo. Allowing crawlers may serve Steam's interest in discoverability across AI surfaces. That single site stands against a near-unanimous backdrop.

Corpus-Wide Bot and Operator Counts

The tables below present corpus-wide leaderboard data — figures across all 223 sites with a parseable robots.txt in the June 2026 snapshot, not just the Gaming category.

Bots blocked most often (across all 223 sites):

Operators blocked most often (across all 223 sites):

Common Crawl leads the bot list at 85 sites. Common Crawl is a non-profit that makes its crawl data available as open training corpora; its CCBot is the most-blocked individual user-agent we track. Anthropic comes second at 80 sites — a figure that reflects how widely site operators have responded to Claude's training and inference crawlers specifically.

Mistral appears at the bottom of the operator list at 21 sites. That likely reflects the recency of Mistral's public presence relative to operators like OpenAI and Anthropic, whose crawlers have been in active use longer. The 12-operator leaderboard spans diverse AI companies, suggesting site operators have been updating their robots.txt files to address a broadening field of AI actors. You can compare how other categories respond to these same bots in our Science report and the Music report.

Methodology

US Tech Automations collected robots.txt files from 260 prominent web domains across 24 content categories on June 14, 2026. The collection process was fully automated: each domain's robots.txt was fetched, parsed, and evaluated against a fixed list of 9 AI crawler user-agent strings drawn from publicly documented bot identities. The snapshot is sealed — content-addressed with sha 834f1e2f07af24fd — so the underlying data is immutable and can be independently verified.

Nothing is estimated, modeled, or extrapolated. Every count in this report is a direct read from the sealed file. A site is counted as "blocking" if it disallows at least one of the 9 tracked AI bots in its robots.txt. Sites that returned no robots.txt are counted separately from sites that returned a robots.txt with no AI disallows. Operator attribution maps each bot's user-agent string to its operating company using publicly available documentation.

The numbered steps of our collection process:

1. Fetch. Automated requests retrieved the robots.txt file from each domain root. Domains with no file or a server error were flagged as no-robots and excluded from the block-rate calculation.

2. Parse. Each file was parsed into user-agent blocks and Disallow directives. The 9 tracked AI bots were checked for explicit disallow entries.

3. Seal. The full collected dataset was hashed and sealed with sha 834f1e2f07af24fd on June 14, 2026, making it content-addressed and immutable.

4. Aggregate. Per-category and corpus-wide counts were computed directly from the sealed file — no estimation or interpolation.

For a broader look at how jobs sites or nonprofit sites approach AI-crawler access, see our Jobs report and Nonprofit report.

Frequently Asked Questions

Q: Does blocking a crawler in robots.txt actually stop it?

A: No. robots.txt is an honor-system standard — it communicates instructions to well-behaved crawlers but provides no technical enforcement. A crawler that ignores robots.txt can still access the content. The value of the signal is that reputable AI operators (Anthropic, OpenAI, Google, and others) publicly commit to honoring robots.txt disallows.

Q: Why do 8 of the 9 Gaming sites in your set block AI crawlers?

A: Gaming sites produce dense editorial content — reviews, guides, wikis, historical coverage — that is valuable for AI training. Platform holders and publishers also hold IP interests in their characters, storylines, and marketing assets. Both motivations push toward blocking. The near-consensus in Gaming likely reflects that both editorial and publisher sub-segments reached the same conclusion independently.

Q: steampowered.com is an outlier — is it unusual for a platform to allow AI crawlers?

A: Not necessarily. Platforms that host third-party content have different IP exposure than first-party publishers. Steam lists games created by thousands of developers; it does not hold the same concentrated first-party rights as ea.com or nintendo.com. Allowing crawlers may serve discoverability goals for the platform without the same IP risk a publisher faces.

Q: What does the 46.6% corpus-wide block rate mean for comparison?

A: Across all 223 sites with a parseable robots.txt in this snapshot, 104 block at least one AI crawler. That 46.6% is the baseline. Gaming at 88.9% is the category most dramatically above that line. Finance (18.2%) and Retail (16.7%) are among the furthest below it.

Q: How often do robots.txt files change?

A: Frequently. A site can update its robots.txt at any time. The June 14, 2026 snapshot captures a single point in time. A site that allowed all crawlers in this snapshot may have added blocks the following week — and vice versa. That is precisely why point-in-time sealed snapshots, repeated on a cadence, are the right way to monitor this space.

Q: Why is Common Crawl blocked most often when it is a non-profit?

A: Common Crawl makes its crawl data publicly available as open training corpora for AI research. Because its data ends up in many training pipelines — commercial and academic — site operators treat it as the upstream source they most want to gate. Non-profit status does not change the downstream use.

Put AI-Access Data to Work

The Gaming category's near-consensus blocking posture is a live signal, not a static fact — and that is the business-critical distinction. Three roles in particular can turn this sealed snapshot into a recurring workflow.

An SEO or content strategy lead at a gaming media company should treat competitor robots.txt posture as a differentiation signal. If ign.com and gamespot.com are blocking Anthropic and OpenAI while your outlet allows both, that asymmetry affects which outlet surfaces in AI-powered search results. The right workflow: re-crawl the 9 Gaming sites weekly, alert the moment any site adds or removes an AI-crawler disallow, and review your own policy in response. The snapshot is the baseline; drift from it is the actionable event.

A publisher RevOps lead at ea.com, nintendo.com, or rockstargames.com is using robots.txt as a proxy for content-licensing intent. The right cadence is to monitor whether competitor publishers add new operator tokens — especially Mistral (currently at 21 sites corpus-wide, well below OpenAI at 66) as that operator gains crawl scale. An alert when a new operator token appears in a competitor's robots.txt file gives early warning to update your own policy.

A retrieval or data-pipeline engineer building a game-knowledge layer for an AI application needs to know which authoritative sources are accessible. Of the 9 Gaming sites, steampowered.com is the only one allowing all crawlers in this snapshot — that means it is a potential training or retrieval source while the other 8 are not, at least under an honor-system reading.

US Tech Automations automates scheduled robots.txt and llms.txt crawls across your target domain set, sends change alerts when AI-access policy drifts from the baseline, and maintains a rolling AI-access policy dashboard — so your team has a live view rather than a stale snapshot. Set a recurring crawl against the Gaming domain set and route alerts to the policy owner the moment any disallow token changes.

Automate your AI-access monitoring with agentic workflows

Source: US Tech Automations Research — Closing Web edition; figures are verbatim counts from public robots.txt files sealed June 14, 2026 (snapshot sha 834f1e2f07af24fd).