Some visitors land, can't find the right role or the answer to their question, and leave. Others start applying but abandon the form halfway. And those who see it through often apply to the wrong roles, so quality suffers too. Robin fixes all three.
Candidates search as simply or as specifically as they want, in natural language.
Candidates upload a CV in the conversation and get reasoned recommendations, with match reasoning unique to them and each role.
Robin extracts the skills candidates state and the ones their experience implies, with the rationale behind each, so matching goes deeper than keywords.
Robin answers questions about culture, benefits and process from your own content, in your tone of voice, within guardrails you set.
Reporting shows what candidates actually ask, so gaps get fixed and the experience improves continuously.
Embedded chat or a full-page experience, on your careers site or blog.
of career site visitors engage with Robin
of those upload a CV
of conversations produce a job recommendation
convert to an apply start
“We've been blown away by how many candidates have used Robin so far and the data that we're seeing is really impressive.”
Once Robin has engaged a candidate, Dash, the AI assessment layer, scores them against the role. See how Ryanair uses Robin.
Robin is Amply's conversational AI agent for your careers page. Candidates ask in plain language, upload a CV in the conversation, and get recommendations with the reasoning behind each match. Robin answers in your brand's voice, and runs as embedded chat or as a full-page experience.
Robin reads both the skills a candidate states and the ones their experience implies, with the rationale behind each. That means matching goes deeper than keyword overlap. When a candidate uploads a CV, the recommendations are specific to them and to each role, rather than a filtered list.
Yes. Robin answers questions about culture, benefits and process from your own content, in your tone of voice, inside guardrails you set. Reporting then shows what candidates actually asked, so gaps in your careers content get fixed rather than guessed at.
A chatbot answers questions. Robin also does the matching. It runs conversational job search, reads a CV, infers skills beyond what is written down, explains why each role fits, and hands back reporting on what candidates asked. The measure is whether more of the right people finish an application, not whether the bot replied.
Robin runs as embedded chat or as a full-page experience, on a careers site or a blog, and it is ATS-agnostic. It works on top of the system you already run, so there is nothing to migrate and nothing to replace.
At Ryanair, 30% of career site visitors engage with Robin, 73% of those upload a CV, 70% of conversations produce a job recommendation, and 44% convert to an apply start.