Fit signal
Score audience and sponsor alignment before you commit to the package.
Sponsor fit for creators who handle deals themselves
Know if the sponsor fits before you price the deal.
Paste a sponsor email or brief, get a fit score, a package recommendation, and a clean accept / counter / decline reason without spreadsheet guessing.
free analyses
3
solo monthly
19
pro monthly
39
The first screen should look like the thing a creator actually needs: a practical decision surface, not a decorative dashboard.
What creators are asking
The pricing and fit questions are always the same.
Is this sponsor actually a fit for my audience? Am I underpricing this bundle? Should I accept, counter, or decline? What package structure makes sense here? How do I reply without sounding vague or defensive? Can I reuse past decisions instead of starting from scratch?
Is this sponsor actually a fit for my audience? Am I underpricing this bundle? Should I accept, counter, or decline? What package structure makes sense here? How do I reply without sounding vague or defensive? Can I reuse past decisions instead of starting from scratch?
Is this sponsor actually a fit for my audience? Am I underpricing this bundle? Should I accept, counter, or decline? What package structure makes sense here? How do I reply without sounding vague or defensive? Can I reuse past decisions instead of starting from scratch?
Is this sponsor actually a fit for my audience? Am I underpricing this bundle? Should I accept, counter, or decline? What package structure makes sense here? How do I reply without sounding vague or defensive? Can I reuse past decisions instead of starting from scratch?
Package guidance
Get a concrete recommendation for the placement mix and negotiation posture.
Reply draft
Turn the recommendation into a clean response you can send right away.
How it works
Three steps from messy brief to clean recommendation.
This is a recommender, not a chat box. The output is narrow on purpose: score, package, price range, reason, and a reply you can actually paste.
01
Paste the sponsor brief
Drop in the email or package note. SponsorFit reads the real offer instead of a canned template.
02
Get the fit score and package
The model returns a score, a package recommendation, a price range, and a reply draft you can use immediately.
03
Save, compare, and reuse
Each unique brief is stored in Postgres so repeat inputs reuse the same answer instead of burning another call.
Sample output
Brief excerpt
"We want a pre-roll mention plus a newsletter slot. Audience fit: podcasters in productivity and solo business."
Fit score 82
Recommendation
Counter with a bundled read + newsletter package.
Price range: $1,800-$2,200. Accept if they keep the multi-slot bundle; otherwise counter to a tighter package.
Reply draft
Thanks for the brief. The audience fit is solid, but I’d package this as a bundled read plus newsletter placement so the value matches the ask.
The saved history on the app surface reuses the same result for the same brief instead of rerunning the model.
Pricing
Simple tiers for the work you already do.
Free
$0 /month
Try the workflow and score a few real sponsor briefs.
- • 3 free analyses
- • Saved history
- • Live manifest
Solo
$19 /month
For creators handling sponsor decisions every week.
- • 50 analyses
- • Saved history
- • AI reply drafting
- • Priority support
Pro
$39 /month
For creators or small teams comparing more inbound deals.
- • Unlimited analyses
- • Shared workflows
- • Priority guidance
FAQ and support
Keep the conversation practical.
SponsorFit is built for fast decisions, clean history, and a support path that does not bury people in a generic contact form.
Need to tell us something?
Use the support page when you want to report a workflow issue, leave product feedback, or ask about a pricing edge case.
Open supportWhat do I paste into SponsorFit?
Paste the actual sponsor email or brief, including placement asks, category, timing, and any pricing hints.
Does SponsorFit save my history?
Yes. Analyses are stored in Postgres and repeated inputs reuse the saved result until the brief changes.
Is this only for podcasters?
No. It is built for podcasters and newsletter creators who handle direct sponsor conversations themselves.
What does the recommendation include?
A fit score, verdict, package recommendation, price range, risk notes, and a reply draft.
Ready to price sponsor work better?
Create a workspace and run the first brief through it.
The first live slice is built for one thing: turn sponsor outreach into a concrete decision without another hour of manual guessing.