What is adidxbot?

adidxbot is Microsoft's Bing Ads crawler that monitors ads and follows ad destination websites for quality control to ensure advertising standards and policy compliance. You can set up Agent Analytics to see when adidxbot visits your website.

Category

Intelligence Gatherer
Analyzes web content for brand safety, competitive insights, and ad targeting
Do you operate this agent? Contact us to suggest an update.
Example User Agent Mozilla/5.0 (compatible; adidxbot/2.0; +http://www.bing.com/bingbot.htm)
Operated By Microsoft
Source Official Website
Triggered By Operator-configured crawl
Used for AI Model Training Possibly
Affects AI Chat & Search Visibility Not directly
Expected To Follow Robots.txt Yes

Why Is adidxbot Visiting My Website?

Microsoft or one of its clients may be gathering competitive intelligence, measuring advertisements, or evaluating content for brand safety. The pages requested reflect the underlying objective.

Should I Block adidxbot?

Confirm adidxbot's purpose before blocking it. Intelligence gatherers may collect competitive research, measure advertisements, or evaluate pages for brand safety. Weigh any benefit against sharing business or page-level data with its operator or clients. For context, 6% of the top websites we track currently have robots.txt rules for adidxbot.

How Do I Block adidxbot Using Robots.txt?

Add this rule to your robots.txt file to block adidxbot from accessing your website, or use Automatic Robots.txt to block all intelligence gatherers at once. You can customize which pages are blocked by swapping out / for a different path.

User-agent: adidxbot # https://knownagents.com/agents/adidxbot
Disallow: /

Insights for adidxbot

As of October 30, 2026, this data reflects agent visits measured across thousands of websites using Agent Analytics, combined with daily scans of the top 1000 websites and their robots.txt files.

Robots.txt Compliance

Not enough activity

Country of Origin

United States
adidxbot traffic often comes from the United States

Robots.txt Blocked Percentage

6%
6% of top websites are blocking adidxbot
Learn How →

Top Visited Website Categories

Shopping
Sports
Finance
Law and Government
Autos and Vehicles

Robots.txt Blocking Trend

6% of top websites block adidxbot in their robots.txts.

adidxbot Traffic

0.0043% of all website traffic is coming from adidxbot.

Frequently Asked Questions

What Traffic Patterns Should I Expect From adidxbot?

adidxbot's traffic pattern depends on the intelligence being collected. It may revisit specific pages on a schedule, crawl broader sections of your site, or appear only when information is requested. Its request scope and frequency reflect the underlying objective.


Does adidxbot Follow Robots.txt Rules?

adidxbot is expected to follow robots.txt rules, so a disallow rule is the appropriate first step if you want to block it. Automatic Robots.txt can add and maintain that rule, while Agent Analytics lets you verify whether adidxbot respects it.


Is adidxbot Used for AI Model Training?

Possibly, but its category does not establish that purpose. adidxbot's operator may use or provide the collected content for AI training or for unrelated automated tasks.


Does Blocking adidxbot Affect AI Search or Citations?

Not directly. adidxbot's expected purpose is not to supply an AI search index or retrieve pages for AI-generated answers.


Does adidxbot Access Private Content?

No special access. adidxbot can read publicly available pages but cannot bypass authentication. Assume anything you publish openly may be collected.


How Can I Verify a Request From adidxbot?

Agent Analytics tracks adidxbot visits in real time. You can also check your server logs for requests whose user-agent string contains "adidxbot". Traffic may range from repeated requests to the same pages to broader crawls or one-off fetches. Because adidxbot does not publish a verification method, any client can claim its identity and a log match is only a clue.


How Is adidxbot Different From Other Microsoft Agents?

Microsoft operates separate agents for different purposes, so each agent should be evaluated and controlled independently.

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