At this week’s DEMO conference, two products are launching that are aim to make memetracking easier for everyone. The first one is UK-based Ensembli, which lets users enter any keyword, and it returns articles about that topic. The second is a new feature from semantic search engine Evri called “Collections” which lets you follow any term that it has categorized. Both are new twists on an old idea: prospective search. (You enter a company name or topic and any time a new article about that subject appears, it populates a custom feed to track that meme). I’ve tried out both, and compare my experiences below.

Neither one was as comprehensive or up to date as they should be. Searches for news about major companies such as Google or Facebook missed headlines that other memetrackers such as Techmeme do a better job of capturing. But both have merits as prospective search tools and are examples of how search is increasingly becoming more of a navigational tool.

Evri, a site that uses semantic searching to help users discover more Web content in the shortest amount of time, has added a number of new product features today to mark its open beta.

The site now features a content recommendation engine that publishers can add to their sites to let visitors browse Evri’s listings and profile pages where Evri will collect all the related content on a particular topic. In addition to videos, Evri also added an image carousel to its results pages, which it collects from across the Web.

The idea sounds fine — Evri wants to collect some of the best news, videos, photos, and important information from news sources, Wikipedia, and Google (to name a few) to create a more informative experience — but it falls flat on its face on too many levels.