HR and people podcasts looking for guests

All 13 of them, on two tests rather than one. Each show has published an episode within the last 120 days, and each publishes a booking address in its own RSS feed rather than in a directory entry somebody else wrote. A directory of dead shows looks identical to a good one until somebody wastes a week on it, which is why both checks run before a row is listed.

Apple's public podcast search, then each show's own feed. The feed is the source that matters: it is published by the show, it carries the booking address the host chose to publish, and it carries the date of the most recent episode, so both the contact and the liveness check come from the show itself rather than from a third party.

This page was read on 2026-08-14, and that date is printed under the title on every page in this directory rather than hidden in a footer. Every row passed its checks on the day named, and rows that stop passing are removed rather than greyed out, so the count falls as well as rises.

One show at a time, about their show. The address in a feed is published so hosts can be reached about the programme, and a template about your company sent to twenty of them does more damage than sending nothing. Pick three, listen to an episode, and say which one. Show notes carry a link to the guest, which is why a booking converts far better than a cold link request: you are being invited rather than asking for a favour.

The engines read these directories and the podcasts' own websites. When a listener asks ChatGPT or Gemini for a podcast recommendation on a specific HR topic, the AI will cite shows it has read about, including those actively seeking guests. A guest appearance can lead to your brand being cited in a future answer.

Look for a show whose recent episodes match your specific expertise, like compensation analytics or DEI in tech, not just 'HR'. Check that the host interviews guests, not just co-hosts. A published booking email in the show notes is a stronger signal than a general contact form. Mentionry's Opportunities screen judges each entry against your brand kit to highlight the three most relevant fits.

Send a short email to the address in the show notes. Introduce yourself, mention one specific episode you enjoyed and why it resonated, and propose two concrete topic angles you could discuss. Do not send a generic press release or ask for a link. Whether the host invites you and later cites your work is the host's decision. Mentionry, the AI marketing platform that records what answer engines say about your brand and shows the pages they cite, drafts the email and sends it from your own mailbox only after you approve the text.

A realistic response rate is low; many hosts are inundated. A polite 'no' or silence is common. A 'yes' typically leads to a scheduling link. After recording, the show publishes the episode. If the host mentions your company or a resource, that becomes a citation the engines might read. Mentionry never places, promises or pays for a link or a mention.

Mentionry monitors directories and podcast sites for booking requests that match your brand's declared expertise. For each match, it shows you the source, judges its relevance, and drafts a personalised pitch. You review and approve the draft in the Desk, then it sends from your connected email account. It handles the finding and drafting; you handle the relationship.