Blocking ChatGPT alone is not enough — students access thousands of AI alternatives that bypass single-domain blocks. This guide covers every defense layer using a continuously-updated blocklist of 17,410+ AI-tool domains.
Most districts start by blocking chat.openai.com and chatgpt.com. Within hours, students share alternatives on group chats and social media.
Claude, Gemini, Perplexity, Poe, Character.ai, You.com, Phind, and hundreds more offer the same capabilities. Block one, and students move to the next.
Students use proxy websites that relay requests to ChatGPT's API behind a different domain. These mirror sites register new domains frequently.
Students use purpose-built essay generators, paraphrasers, and "AI humanizer" tools designed to evade plagiarism detectors.
Your perimeter firewall is the first line of defense. Rules apply to every on-network device regardless of OS or browser — catching traffic before it ever leaves your network.
Most school networks run a dedicated NGFW or UTM appliance, or a Linux-based gateway. Both support external domain lists.
Our AI Tools Blocklist is available as a plain-text EDL (External Dynamic List). Firewalls poll the list hourly and update block rules automatically — no manual intervention.
This script automates firewall blocking on Linux gateways. Here is what it does:
ipset + iptables DROP rule
Runs daily via cron
#!/bin/bash # /opt/scripts/update-ai-blocklist-firewall.sh # Block AI chatbot domains at the firewall level using ipset + iptables API_KEY="YOUR_API_KEY" API_URL="https://www.aitoolsblocklist.com/api/database/?action=download_database" BLOCKLIST="/var/lib/ai-blocklist/domains.txt" IPSET_NAME="ai_blocked" # Download the database CSV (columns: domain,category,subcategory) # and extract the domain column, skipping the header row curl -s -H "X-API-Key: $API_KEY" "$API_URL" | tail -n +2 | cut -d, -f1 > "$BLOCKLIST" echo "[$(date)] Downloaded $(wc -l < $BLOCKLIST) AI domains" # Create or flush the ipset ipset create $IPSET_NAME hash:ip maxelem 131072 -exist ipset flush $IPSET_NAME # Resolve each domain and add IPs to the set while IFS= read -r domain; do ips=$(dig +short "$domain" A 2>/dev/null | grep -E '^[0-9]') for ip in $ips; do ipset add $IPSET_NAME "$ip" -exist done done < "$BLOCKLIST" # Add the iptables rule (idempotent — checks before adding) iptables -C FORWARD -m set --match-set $IPSET_NAME dst -j DROP 2>/dev/null \ || iptables -I FORWARD -m set --match-set $IPSET_NAME dst -j DROP echo "[$(date)] Firewall updated: $(ipset list $IPSET_NAME | grep -c 'Members') IPs blocked" # Schedule this script via cron: # 0 4 * * * /opt/scripts/update-ai-blocklist-firewall.sh >> /var/log/ai-blocklist.log 2>&1
Most enterprise firewalls support EDLs natively. Point the firewall at a domain list hosted on an internal web server — regenerated daily from the API CSV (the ipset script above shows the download step) — and it refreshes automatically.
# NGFW — External Dynamic List Configuration # Navigate to: Objects → External Dynamic Lists → Add Name: AI-Tools-Blocklist Type: Domain List Source: https://edl.district.internal/ai-domains.txt # hosted internally, regenerated daily from the API CSV Refresh: Hourly Description: AI chatbot and tool domains — updated daily from 102M domain scan # Create a Security Policy rule: Source Zone: Student-VLAN Destination: Any URL Category: AI-Tools-Blocklist (EDL) Action: Deny Log Forwarding: Student-Activity-Log # Commit the configuration and verify: > test dynamic-list AI-Tools-Blocklist # Expected: List loaded with 17,410+ entries
For detailed firewall integration instructions for all major NGFW platforms and UTM appliances — see the Firewall Admin AI Blocklist Guide.
DNS filtering intercepts domain resolution before the browser ever connects. It is the most effective single layer — working regardless of device type, browser, or application.
chatgpt.com into a browserDNS filtering covers the entire network perimeter in one step. Every device on school Wi-Fi resolves DNS through the same infrastructure:
Cloud-based DNS filtering platforms are widely deployed in K-12. They support custom domain lists and integrate with Active Directory and Google Workspace.
Districts running their own DNS — Pi-hole, AdGuard Home, or BIND with RPZ — can ingest our domain list directly.
0.0.0.0.# Pi-hole — Add AI Tools Blocklist as a custom adlist # Navigate to: Group Management → Adlists → Add a new adlist # Build the list from the API CSV and host it on an internal web server: # curl -s -H "X-API-Key: YOUR_API_KEY" \ # "https://www.aitoolsblocklist.com/api/database/?action=download_database" \ # | tail -n +2 | cut -d, -f1 > /var/www/html/ai-domains.txt # Regenerate daily via cron. Address: https://filter.district.internal/ai-domains.txt Comment: AI Tools Blocklist — 17,410+ AI chatbot & tool domains # After adding, update gravity: $ pihole -g [i] Target: https://filter.district.internal/ai-domains.txt [✓] Status: Downloaded 42,317 domains [✓] Gravity updated successfully # Verify blocking works: $ dig chatgpt.com @127.0.0.1 ;; ANSWER SECTION: chatgpt.com. 0 IN A 0.0.0.0 $ dig claude.ai @127.0.0.1 claude.ai. 0 IN A 0.0.0.0 # Schedule automatic gravity updates (daily at 3 AM): $ crontab -e 0 3 * * * pihole -g >> /var/log/pihole-gravity.log 2>&1
NextDNS is popular in smaller districts and charter schools — no on-premises infrastructure required. Custom denylist URLs refresh automatically.
# NextDNS — Custom Denylist # Navigate to: Settings → Denylist → Add a denylist # Host the domain list on a district web server reachable by NextDNS, # regenerated daily from the API CSV (see the Pi-hole example above) URL: https://lists.yourdistrict.edu/ai-domains.txt Name: AI Tools Blocklist (17,410+ domains) # NextDNS refreshes the list automatically every 24 hours. # Configure your school DHCP to point DNS at NextDNS: Primary DNS: 45.90.28.0 Secondary DNS: 45.90.30.0 # For encrypted DNS (recommended), use the NextDNS profile: DoH: https://dns.nextdns.io/YOUR_CONFIG_ID DoT: YOUR_CONFIG_ID.dns.nextdns.io
Firewall, DNS, Chrome policies, and content filters all draw from the same continuously-updated database.
Over 60% of US K-12 devices are Chromebooks managed through Google Workspace. Chrome OS URL blocking travels with the device — school, home, and mobile hotspots.
The URLBlocklist policy applies to every managed Chrome browser instance. When a student navigates to a blocked URL, Chrome shows a native "This site is blocked" page.
Google Admin's URL blocklist supports approximately 1,000 entries. This covers the top AI chatbots — ChatGPT, Claude, Gemini, Perplexity, and the top 100 alternatives.
# Google Admin Console — Chrome URL Blocklist for Student Devices # Path: Devices → Chrome → Settings → Users & Browsers # Select the "Students" Organizational Unit # Under "URL Blocking" → "URL Blocklist", add these domains: chatgpt.com chat.openai.com openai.com claude.ai anthropic.com gemini.google.com bard.google.com copilot.microsoft.com perplexity.ai poe.com character.ai you.com phind.com quillbot.com writesonic.com jasper.ai copy.ai rytr.me wordtune.com grammarly.com/ai notion.so/product/ai midjourney.com stability.ai huggingface.co/chat deepai.org # ... add up to ~1,000 high-priority domains # See our sample CSV for the full prioritized list # IMPORTANT: Use "URLAllowlist" to exempt teacher/admin OUs: # Select "Teachers" OU → URL Blocking → URL Allowlist # Add any domains teachers need for lesson planning
For districts managing hundreds of OUs or requiring automated updates. This Python script:
# deploy_chrome_blocklist.py # Automates Chrome URLBlocklist updates via Google Admin SDK import csv import io import requests from google.oauth2 import service_account from googleapiclient.discovery import build API_KEY = "YOUR_BLOCKLIST_API_KEY" API_URL = "https://www.aitoolsblocklist.com/api/database/?action=download_database" ORG_UNIT = "/Students" # Download the database CSV (columns: domain,category,subcategory) # and keep the chatbot domains — Chrome URLBlocklist caps at 1,000 entries response = requests.get(API_URL, headers={"X-API-Key": API_KEY}) reader = csv.DictReader(io.StringIO(response.text)) domains = [row["domain"] for row in reader if row["category"] == "General AI Chatbots"][:1000] print(f"Fetched {len(domains)} priority AI chatbot domains") # Authenticate with Google Admin SDK creds = service_account.Credentials.from_service_account_file( "service-account.json", scopes=["https://www.googleapis.com/auth/admin.directory.orgunit", "https://www.googleapis.com/auth/chrome.management.policy"] ) service = build("chromepolicy", "v1", credentials=creds) # Push the URL blocklist to the Students OU # This updates the Chrome URLBlocklist policy for all # managed Chromebooks in the target organizational unit print(f"Deployed {len(domains)} domains to Chrome policy for {ORG_UNIT}")
Most districts already run a browser-based content filter for CIPA compliance. Adding our AI Tools Blocklist is the fastest path to comprehensive AI blocking.
Create a custom URL list in your content filter's admin console and upload our domain feed. Assign it to student organizational units.
Supports custom category creation and bulk URL imports. Import our domain list as a "Blocked" custom category.
Cloud-based filters accept custom URL policies. Add our feed as a "Deny" list and apply it to student groups.
Content filter vendors each maintain their own URL categorization databases — and their AI-tool coverage varies significantly. Most classify ChatGPT and a handful of major platforms, but the long tail remains uncategorized:
Blocking ChatGPT addresses the most visible problem but misses the vast majority of the attack surface. The AI-tool ecosystem has exploded since 2023.
We track 17,410+ AI-tool domains across 18 categories. The breakdown below reveals just how large the long tail is.
| General AI Chatbots | 2,800+ domains |
| AI Writing Assistants | 4,200+ domains |
| AI Paraphrasers & Humanizers | 1,600+ domains |
| AI Code Generators | 3,100+ domains |
| AI Homework Solvers | 900+ domains |
| ChatGPT Proxy Sites | 700+ domains |
Manually tracking AI alternatives is a full-time job no school IT department has staff for. Our automated pipeline handles it:
Blocking is only half the equation. Active monitoring reveals which AI tools students try to reach, how often bypasses occur, and whether new tools are slipping through.
Configure your DNS or content filter to log every blocked AI-tool request. Aggregate logs by student, device, time of day, and domain. High-frequency block events from a single student may indicate systematic searching for unblocked alternatives — a signal for follow-up.
Students may try VPNs, proxy services, Tor, or DNS-over-HTTPS (DoH) to bypass blocks. Watch for these patterns:
#!/bin/bash # /opt/scripts/ai-access-report.sh # Generate a daily report of AI chatbot access attempts from DNS logs LOG_DIR="/var/log/dns-filter" REPORT="/var/reports/ai-access-$(date +%Y%m%d).txt" BLOCKLIST="/var/lib/ai-blocklist/domains.txt" echo "AI Chatbot Access Report — $(date +%Y-%m-%d)" > "$REPORT" echo "========================================" >> "$REPORT" # Top 20 most-requested blocked AI domains echo "" >> "$REPORT" echo "Top 20 Blocked AI Domains:" >> "$REPORT" grep -f "$BLOCKLIST" "$LOG_DIR"/query.log \ | awk '{print $5}' \ | sort | uniq -c | sort -rn \ | head -20 >> "$REPORT" # Students with most AI access attempts echo "" >> "$REPORT" echo "Top 10 Devices by AI Access Attempts:" >> "$REPORT" grep -f "$BLOCKLIST" "$LOG_DIR"/query.log \ | awk '{print $2}' \ | sort | uniq -c | sort -rn \ | head -10 >> "$REPORT" # Hourly distribution (detect patterns: spikes during testing hours?) echo "" >> "$REPORT" echo "Hourly Distribution of AI Access Attempts:" >> "$REPORT" grep -f "$BLOCKLIST" "$LOG_DIR"/query.log \ | awk -F: '{print $1}' \ | awk '{print $2}' \ | sort | uniq -c >> "$REPORT" echo "[$(date)] Report generated: $REPORT"
No single layer is foolproof. The most effective strategy combines multiple layers, each catching what the others miss.
Blocks IP-level and domain-level connections for all on-network devices. The first wall — fast and broad.
Intercepts domain resolution before connections are established. Covers all devices and applications.
Browser-level filtering via your content filter platform. Works on and off network.
Device-level URL blocking that travels with the Chromebook. The last line of defense for 1:1 programs.
Some districts maintain their own AI blocklists via shared spreadsheets. This approach fails for three reasons:
There are 17,410+ AI-tool domains today, and the number grows daily. No IT team can manually track this.
A new AI tool can go viral among students within hours. Our pipeline detects new tools within 24 hours.
Without automated classification, IT staff must manually evaluate each tool. Our 18-category taxonomy handles this automatically.
Follow this checklist to deploy comprehensive AI blocking. Most districts complete the entire process in under a day.
Get the full AI Tools Blocklist — 17,410+ domains, 18 categories, updated daily. Deploy it across every layer of your school network in under a day.
Tell us about your school network — device types, content filter vendor, and number of students — and we will configure a feed that covers every layer.