> For the complete documentation index, see [llms.txt](https://coartraining.gitbook.io/coar-repository-toolkit/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://coartraining.gitbook.io/coar-repository-toolkit/discoverability/search-engine-optimisation.md). # Search engine optimisation Kenning Arlitsch presents "Driving Traffic to Institutional Repositories: How Search Engine Optimization can Increase the Number of Downloads from IR". From the introduction, "this presentation discusses search engine optimization techniques, especially for Google Scholar, which can be responsible for the majority of referrals that result in IR file downloads. The presentation also introduces a new web service called RAMP (Repository Analytics & Metrics Portal) that accurately counts file downloads from IR and requires no installation or training." Slides can be found at [this](http://doi.org/10.5281/zenodo.894564) link. {% embed url="" %} Driving Traffic to Institutional Repositories by Kenning Arlitsch {% endembed %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://coartraining.gitbook.io/coar-repository-toolkit/discoverability/search-engine-optimisation.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.