How to Automate Podcast Guest Research and Booking Using Alyna

Booking 150 guests a year (or even 3 per week) means constant research, email finding, invite drafting, and tracking - who's pending, who said no, who's already in the database. Done manually, it's 2 - 5+ hours per guest for deep research and another chunk for outreach. With Alyna, you can automate discovery, research, and drafting while keeping every send and every Notion update under your approval - so your docket stays full without losing control or consistency.

This post is for podcast hosts, roundtable producers, and content leads who want a high-volume guest pipeline without the manual variability and duplicate work.

Why Guest Booking Is a Time Sink (And Where It Breaks)

Guest booking has several steps: (1) discover who's in the news or relevant to your audience and not already in your DB, (2) research them (company, timeline, media, "spicy" questions), (3) find contact (e.g. LeadIQ), (4) draft and send the invite, (5) track pending/confirmed in Notion or your CRM. Each step takes time, and when it's manual you get:

Duplicates - Inviting someone who already said no or is already on the list.
Inconsistency - Some guests get deep research; others get a quick Google. Quality varies.
Bottlenecks - One person owns the pipeline; when they're busy, the docket empties.

What you want is automation with a human in the loop: the system suggests guests, runs research, drafts invites, and proposes Notion updates - but nothing sends and nothing is written to your DB without your approval. That's where Alyna fits.

How Alyna Runs Your Guest Pipeline (With You in the Loop)

Alyna is an AI executive assistant that can run a recurring discovery brief, execute a "guest research mega prompt," draft invites, and propose Notion (or other tool) updates - all approval-first. You get consistency and volume without giving up control.

With Alyna you can:

Daily or weekly discovery - Set a recurring brief (e.g. 8am): "Give me 5 guest ideas not in our DB, in the news, with why + source + contact." Alyna checks your guest DB, pulls from the web, and proposes a list. You reply with feedback ("Guest 2, 3, 5 good; 4 bad because X"); Alyna's memory remembers so tomorrow's list improves.
"Invite [person]" - Alyna finds email (e.g. via LeadIQ or your connected tools), drafts the invite, checks calendar for open dates, and queues the send for your approval. No accidental invites; you review and approve.
Deep research on demand - Run your "guest research mega prompt": company, valuation, timeline, media, 1 - 2 suggested questions (including "spicy" angles). Alyna produces a research pack and can propose Notion updates (e.g. new row in guest DB) - you approve before anything is written. 2 - 5 hours of work becomes a review step.

You can add scoring (e.g. performance, expertise, virality) and get a ranked list - still approval-first for who gets invited and what gets stored.

How to Set It Up With Alyna

Step 1: Define Memory and Boundaries

Tell Alyna what to remember so it doesn't repeat mistakes:

"Never put two direct competitors on the same show."
"No VCs on [show X]."
"Pending = invited but no response yet. Do not re-invite pending or declined without my say-so."

Alyna's memory holds these so every discovery and invite respects your rules.

Step 2: Create a "Guest Booking" Skill

Give Alyna a repeatable procedure:

"Guest booking: (1) Check Notion guest DB. (2) Research: [sources you connect]. (3) For each candidate: company, valuation, media, 1 - 2 suggested questions. (4) If inviting: use LeadIQ [or your tool] for email, use [template], only offer dates where we have fewer than 3 guests. Propose all sends and Notion changes for approval."

Alyna runs the steps and queues every external action (email, Notion update) for your approval - so you get the throughput without the risk.

Step 3: Optional Scoring and Ranking

"Score guests on: performance, expertise, virality/following. Output ranked list with scores so I can pick the top N."

Alyna can rank and you choose who to invite; the rest stays the same (research, draft, approve).

What You Get

Discovery at scale - Recurring briefs that surface guests not in your DB, with why and source; feedback improves the next run.
Deep research without the hours - One "mega prompt" per guest (or batch); Alyna fills company, timeline, media, questions - you approve before it goes into Notion.
Invites that don't send without you - Alyna drafts and queues every invite; you approve. No duplicate or wrong-date sends.
Full audit trail - You can see what was proposed, what was sent, and what was stored - so your pipeline is consistent and compliant.

Automating podcast guest research and booking with Alyna means more guests, less manual work - with every send and every DB update under your control.

Alyna is an AI executive assistant that can run discovery, research, and invite drafting - all approval-first. See how Alyna works.