How is the score calculated?

Eryx combines profile signals, enrichment data, and your project instructions to produce a relevance score with a short rationale.

Can I override AI rankings?

Yes. Review, adjust status, and export the list your team agrees on—scoring is a starting point, not a lock-in.

Does scoring work for agencies with multiple ICPs?

Each project carries its own instructions and filters, so client-specific scoring stays isolated.

Eryx

AI scoring & prioritization

Prioritize the leads worth your team's time

AI-assisted scoring ranks prospects by ICP fit, signals, and your project instructions—so review starts at the top.

Get started View pricing

Fit ranking

Avg 83

3High

2Medium

1Low

Mia Carter

High86

Strong audience fit

Noah Blake

Medium74

Good engagement, medium fit

Ava Nguyen

High91

Excellent audience and relevance

Jordan Lee

Medium79

Strong short-form engagement

ICP match + engagement signals weighted

What AI scoring includes

AI-assisted scoring ranks prospects by ICP fit, signals, and your project instructions—so review starts at the top.

Fit-based scoring

Surface high-probability accounts using niche, filters, and project context.

Fit ranking

Avg 83

3High

2Medium

1Low

Mia Carter

High86

Strong audience fit

Noah Blake

Medium74

Good engagement, medium fit

Ava Nguyen

High91

Excellent audience and relevance

Jordan Lee

Medium79

Strong short-form engagement

ICP match + engagement signals weighted

Explainable reasons

See why a lead scored high or low—not just a black-box number.

InstagramTikTokLinkedInYouTube

us beauty creators · 50k–200k followers

Project

Spring ICP Outreach

6 / 24

Top lead

Mia Carter

@miacreates · 84.2k followers

Noah Blake

Ava Nguyen

Jordan Lee

Riley Chen

Profiles scanned

6,735

Sources active

4 / 8

Qualification progress25%

Priority queues

Work high → medium → low instead of alphabetical exports.

Contact coverage

60% filled

Riley Chen

@rileystartup · saas

New

riley@example.com

@rileystartup

—

Calendly

https://calendly.com/rileystartup/intro

Enrichment statusCompleted

Outbound tool pilot

Consistent criteria

Apply the same scoring logic across runs and team members.

Export ready

24 rows

CSVJSON

qualified-leads-march.csv

Score, channel, status · UTF-8

NameScorePriorityChannelStatusEmail

Hand off to CRM or sequencer

HubSpot · Salesforce · ClayLast export 2h ago

Scoring aligned to your ICP

Tune project instructions and filters so rankings reflect how you actually sell.

Instruction-aware ranking

Scoring respects your project brief and outreach goals.

Segment by priority

Filter views to high-fit cohorts before export or assignment.

Improve over time

Compare run outcomes and refine criteria batch after batch.

How lead scoring works

Rank prospects by fit before your team picks up the phone

01
Set project context
Instructions and filters tell the model what a good-fit prospect looks like.
02
Score each row
AI combines profile signals with your brief to produce a rank and reason.
03
Work top-down
Start with high-priority cohorts, override when needed, then export.

Frequently asked questions

Build your next qualified pipeline in Eryx

Discover, enrich, score, and export B2B leads in one workspace—so outreach starts after qualification, not before.

Get started View pricing

How lead scoring works

Rank prospects by fit before your team picks up the phone

Set project context

Instructions and filters tell the model what a good-fit prospect looks like.

Score each row

AI combines profile signals with your brief to produce a rank and reason.

Work top-down

Start with high-priority cohorts, override when needed, then export.