Download websites that use FAST ESP

About FAST ESP

The search box on a large corporate website is usually the only visible piece of a much bigger installation. Behind it sits an indexing platform crawling intranets, document stores and product catalogues, with the public site given a query form pointed at the same engine. FAST ESP is one of those platforms, so where the fingerprint appears, what we are actually seeing is the public query interface of an enterprise search deployment that mostly lives out of sight.

The name and the vendor of record do not describe the same company. The platform was built by an independent search company and later acquired, which is why the vendor recorded against it is Microsoft under a Commercial licence while the product name belongs to its earlier life. A deployment found today is rarely a fresh purchase. Enterprise search projects are long, costly and slow to replace, and the original release year of 2001 gives some sense of how long a few of these installations have been running without anyone proposing a change.

A public page carrying the fingerprint says something about the organisation behind it. Somebody bought commercial search rather than using whatever the content management system included or renting a hosted service, and organisations that make that choice have volume behind them: many content systems, a catalogue too large for database queries, a records requirement, or an intranet nobody can navigate. The technology is a proxy for organisational scale and for a particular generation of procurement.

As of October 2026 we detect FAST ESP on 35 sites, and the number is modest for reasons that have little to do with how widely the platform was deployed. Server side search leaves a thin trace. A deployment reveals itself through URL patterns, query parameters and result page markup, all of which a developer is free to rename, so a site that wraps its search in a custom frontend keeps running the engine while disappearing from any external count. Taken together, the figure is best understood as the subset of deployments that never bothered to hide.

For a researcher the list answers a targeting question rather than a historical one. Vendors selling modern search, retrieval and retrieval augmented AI products want organisations already running an older commercial engine, because the budget line exists, the internal owner exists, and the conversation is about replacement rather than about starting a project from nothing. Assembling that population from per-domain lookups is not practical, since the difficulty is precisely not knowing which domains to check.