What is videootvBot?
videootvBot is a crawler that extracts the newest articles from publisher websites via feeds or HTML parsing to create carousels with images, links and text for native ads modules to improve content recirculation. You can use Agent Analytics to see when it visits your website.
Agent Type
Expected Behavior
Fetchers retrieve metadata from web pages to generate link previews in social media platforms, messaging apps, and content aggregators. They're triggered on-demand when users share or post links, fetching information like titles, descriptions, and thumbnail images. Traffic is unpredictable and correlates with how often your content is shared. Viral content may trigger thousands of fetcher requests in a short period. Fetchers typically access only the shared URL rather than crawling your site.
Details
| Operated By | Digital Green |
| Insights Last Updated | June 27, 2026 |
Top Websites Blocking This Agent
Country of Origin
Top Website Blocking Trend Over Time
As of June 27, 2026, 0% of top websites block videootvBot in their robots.txt files.
Overall Fetcher Traffic
As of June 27, 2026, 3.9% of estimated web traffic came from fetchers.
How To Block videootvBot With a Robots.txt Rule
In this example, all pages are blocked. You can customize which pages are off-limits by swapping out / for a different disallowed path.
User-agent: videootvBot # https://knownagents.com/agents/videootvbot
Disallow: /Frequently Asked Questions About videootvBot
Should I Block videootvBot?
No. Blocking fetchers prevents link previews from appearing when your content is shared on social media, messaging apps, and other platforms. This significantly reduces click-through rates and social engagement. Link previews are crucial for content distribution.
How Do I Block videootvBot?
If you want to, you can block or limit videootvBot's access by configuring user agent token rules in your robots.txt file. The best way to do this is using Automatic Robots.txt, which updates automatically as new agents are discovered. While the vast majority of agents operated by reputable companies honor these robots.txt directives, bad actors may choose to ignore them entirely. In that case, you'll need to implement alternative blocking methods such as firewall rules or server-level restrictions. You can verify whether videootvBot is respecting your rules by setting up Agent Analytics to monitor its visits to your website.
Will Blocking videootvBot Hurt My SEO?
Blocking fetchers will hurt your social SEO and content distribution. Link previews significantly improve click-through rates from social media, messaging apps, and other platforms. Without previews, your content appears less engaging when shared, reducing social signals that can indirectly benefit search rankings.
Does videootvBot Access Private Content?
Fetchers only access the specific URLs that users share or embed, without credentials or authentication. They're designed to retrieve publicly accessible metadata and preview information. Fetchers don't crawl beyond the shared URL and can't access private content unless the shared link itself provides public access to otherwise private information.
How Can I Tell if videootvBot Is Visiting My Website?
Setting up Agent Analytics will give you realtime visibility into videootvBot visiting your website, along with hundreds of other AI agents, crawlers, and scrapers. This will also let you measure human traffic to your website coming from AI search and chat LLM platforms like ChatGPT, Perplexity, and Gemini.
Why Is videootvBot Visiting My Website?
videootvBot visited your site because someone shared one of your URLs on a social platform, messaging app, or another service that generates link previews. The fetcher was triggered when the link was posted to retrieve your page's title, description, and preview image.
How Can I Authenticate Visits From videootvBot?
Agent Analytics authenticates agent visits from many agents, letting you know whether each one was actually from that agent, or spoofed by a bad actor. This helps you identify suspicious traffic patterns and make informed decisions about blocking or allowing specific user agents.