Glossary
Good bots are automated programs that perform useful, sanctioned tasks (like search-engine crawlers, uptime monitors, and legitimate API integrations) while bad bots are automated programs used for malicious purposes such as credential stuffing, fake-account creation, scraping, and fraud. The distinction matters enormously, because the goal of bot management is to allow the good automation and stop the bad, not to block all of it.
Roughly half of internet traffic is automated, and a large share of that is malicious. But a meaningful portion is beneficial and even essential, which is exactly why blanket bot-blocking is a mistake.
Because both good and bad bots are automated, telling them apart (and telling both apart from humans) is the core problem. Bad bots actively disguise themselves as good bots (spoofing Googlebot’s user agent) or as humans (mimicking behavior, spoofing devices). So bot management can’t rely on a simple allow/deny list; it must verify claimed identities (is this really Googlebot, confirmed by reverse DNS?) and analyze behavior and device signals to classify traffic accurately. Getting it wrong is costly in both directions: block a good bot and you harm SEO or operations; allow a bad bot and you invite fraud; block a human and you lose a customer.
Effective bot management treats traffic as three populations (good bots to allow (ideally verified), humans to serve seamlessly, and bad bots to block) and applies nuanced policy rather than a blunt gate. Increasingly, a fourth category is emerging: sanctioned consumer AI agents acting for real users, which are automated but authorized, requiring intent-based judgment rather than simple bot-blocking. The through-line is that modern bot defense is about accurate classification and appropriate response, not maximal blocking.
What’s the difference between good bots and bad bots?
Good bots perform useful, sanctioned tasks (search crawlers, monitors); bad bots commit fraud and abuse (credential stuffing, scraping, fake accounts).
Why not just block all bots?
Blocking good bots harms SEO and operations, and aggressive blocking can catch real users. So the goal is classification, not blanket blocking.
How do you tell good bots from bad ones?
By verifying claimed identities (e.g., confirming Googlebot via reverse DNS) and analyzing behavior and device signals, since bad bots disguise themselves.
What happens if you accidentally block a good bot?
Blocking search crawlers can silently damage your SEO and rankings; blocking legitimate integrations can break partner and monitoring functions.
Are AI agents good bots or bad bots?
A new category, authorized consumer AI agents are automated but sanctioned by the user, requiring intent-based judgment rather than simple good/bad classification.
Related: Bot Attack · Bot Detection · Credential Stuffing · Registration Bots · Behavioral Analytics
