Reads every interview before you do.
Your guest's published record, podcasts, keynotes, press, becomes the brief that writes the pitch.
Proven to land the guests you want, at companies like these.
A context engine that knows your show, your shortlist, and the angle nobody else has pressed on. It builds the pitch with you, hands you the finished package, and you land the guest looking like you did the homework.
The truth is, it's easier than ever to write a pitch, yet harder than ever to land one. The problem is every other host's inbox is getting flooded with pitches that don't move them. We built our system to fundamentally solve this problem. By deeply understanding your show, content, and plans. Then doing the same with your guest. We find the overlap no one else pitched. What you send is specific enough to be un-ignorable.
We extract full transcripts from podcast episodes that were never publicly transcribed. Your pitch opens with a line the guest said on an episode with 200 listeners. That's homework no LLM can replicate from training data.
Show Brain stores your voice, your audience, your rules, your wins and losses. Every pitch is shaped by everything that came before it. ChatGPT starts from zero every single time. The gap compounds with every pitch you send.
Who you pitched, when, whether they opened it, whether they replied, when to follow up, which angles convert. That's a booking operation. ChatGPT gives you text and walks away. You're left managing the rest in your head.
Which means the pitch has to speak for the work first.
You don't want to send a pitch you'd wince at a week later. So HADEF reads your show as deeply as it reads the guest. Every episode you've recorded, every recurring theme, every position you've taken on the record. Then it pulls every interview the guest has given in the last eighteen months, every article, every talk, and finds the one overlap no one else has pitched. What you send is specific enough that the reader can tell who was paying attention.
Your guest's published record, podcasts, keynotes, press, becomes the brief that writes the pitch.
A DM drafted around something they actually said, in the rhythm of how you'd write it yourself.
Verified titles, current company, risk-audited questions. Guests leave willing to recommend you to the next one.
LinkedIn DM, email, X, Substack. Hadef picks the channel the guest responds to, not the one that's convenient.
Speak it, type it, drop a link. Hadef builds your context the way you actually work, then surfaces it when you're ready to pitch the next guest.
Three moments that map to how booking actually works. Each one earns the next.
Forbes · Mar 2026
Bloomberg · Feb 2026
MarketWatch · Jan 2026"AI agents for sales enablement were dead in the water. Until we invested in the context engineering underneath them."
Hadef ingests your guest's public record and surfaces the one line that's worth pitching around. You don't scroll. You don't search. You arrive at the hit.
"AI agents for sales enablement were dead in the water. Until we invested in the context engineering underneath them."
Which starts with a thread your guest has been pulling on that nobody else has picked up.
You don't want to seem salesy. HADEF drafts the first sentence around a real overlap: something the guest has just said in public, a gap in your show's recent arc, a timing trigger that makes the conversation feel inevitable now. The reader opens the message, and the archive door doesn't close on you. Vendors write the other kind of email.
Hey guest name, noticed your interview in publication where you said hook quote. Would love to dig deeper…
LinkedIn is where these conversations actually start. The pitch lands in the composer formatted the way you would have written it. You hit send.
The threshold isn't price. It's how much of the work you want to be in the room for.
All plans include the Show Brain, golden-thread pitch packages, multi-channel send, and the QA layer. Cancel any time. Annual plans save 20%.
After putting in 10,000+ hours of manually securing high-value guests for podcasts, webinars, and panel discussions, we've automated the end-to-end workflow.
One wrong line and you've left a trail of half-read pitches in a prospect's DMs. The opportunity is done before the draft even made sense.
Keeping an AI co-pilot current on every podcast, article, LinkedIn post, and Substack your prospect ships is tedious. Finicky. Usually stale the day you use it.
You want a pitch with nuance. LLMs without the right APIs can't reach voice-only transcripts, hit context limits, and stall on the searches that actually matter.
Hadef's tools (research_prospect, get_pitch, approve_pitch) expose over MCP. Equip your agents with them, or let the app handle the whole flow. Same result.
Every pitch passes a QA layer that verifies the quote against the source URL and flags anything that doesn't check out. You see the verification before you send. If something slips through, we want to know fast.
Other tools tell you they keep humans in the loop. We tell you exactly where: at send.
This is what happens when the pitch is built around what your guest has actually said.
