Intelligence Suite

Trace by Ringer Sciences

Influence Intelligence. Follow the Signals. Find the Source.

Trace is the custom language model (CLM) platform built to identify, understand, and activate the most influential voices shaping conversations — from traditional KOLs to emerging DOLs driving digital reach and impact. Designed for precision, privacy, and specificity, Trace gives teams a real‑time map of who matters, what they’re saying, and how their influence travels across channels.

From PubMed to TikTok — and now, deeply into the podcast ecosystem — Trace merges authority with social velocity to create a 360° influence intelligence engine. It uncovers rising KOLs, surfaces high‑momentum DOLs, maps cross‑channel networks, analyzes sentiment and reach, and reveals the pathways through which ideas spread.

Podcast Intelligence | Powered by TraceTrace extends its influence‑intelligence engine into the podcast ecosystem, identifying where the most relevant expert, technical, and industry‑shaping conversations are actually happening — and which platforms offer the greatest opportunity for visibility, credibility, and strategic engagement.

Trace builds a domain‑specific podcast database using real engagement signals from practitioners, operators, executives, and creators across your industry.

What Signal Delivers

Cross-channel influence mapping across scientific, clinical, and digital ecosystems
Identification of emerging KOLs and DOLs before they hit mainstream visibility
Network analysis showing how ideas, narratives, and influence flow
Authority scoring based on evidence, citations, expertise, and peer validation
Digital momentum scoring based on engagement, amplification, and narrative traction
Custom influence segments tailored to your brand
Real-time adaptive intelligence that updates as conversations evolve
Focused, strategically prioritized set of high‑impact podcast opportunities

Beyond Follower Counts

Credibility over Popularity
Evaluates authority, peer validation, and evidence-based scoring, not just who is the loudest.

Network Effects
Maps cross-channel influence and hidden connectors shaping early-stage narratives.

Rising Voices
Identifies emerging DOLs and digital accelerators before they become mainstream.

Why Trace Outperforms Traditional Influencer Vetting

Need

Definition of Influence


Data Sources


KOL/DOL Integration


Network Mapping


Quality & Credibility Checks


Signal Detection


Contextual Understanding


Competitive Benchmarking


Actionability


Scalability


Traditional Influencer Vetting

Prioritizes follower counts, engagement rates, and surface‑level reach.


Social platforms only; often limited to what’s easily scraped.


Treats KOLs and DOLs as separate lists or workflows.


Manual, shallow, or nonexistent.


Basic profile review; subjective human judgment.


Reactive — identifies influencers after they’ve already broken out.


Limited to content themes or hashtags.


Rarely included; requires manual research.


Produces lists, spreadsheets, or static reports.


Constrained by analyst time and manual vetting.


Trace by Ringer Sciences

Measures authority + impact by combining KOL credibility with DOL velocity and cross‑channel influence.


PubMed, clinical trials, conferences, social platforms, news, podcasts, and emerging channels — a full ecosystem view.


Unified influence graph showing how scientific voices and digital voices interact, amplify, or contradict each other.


Real‑time network analysis showing who shapes narratives, who amplifies them, and how ideas spread.


Automated vetting of credentials, publication history, sentiment patterns, misinformation risk, and audience trust signals.


Detects rising KOLs and high‑momentum DOLs early, before competitors notice them.


CLM‑powered interpretation of what each influencer is saying, why it matters, and how it affects your category.


Built‑in competitor influence mapping across scientific and digital ecosystems.


Generates activation strategies, partnership recommendations, and risk flags tied to your brand’s goals.


Unlimited, always‑on influence intelligence that updates 


Common Questions

Why wouldn’t my agency or internal team just do this?

Influence isn’t about who has the biggest following — it’s about who has the most supported, credible, and networked voice. Trace evaluates authority, citations, peer validation, digital momentum, and cross‑channel impact at a scale no team can match manually.

Isn’t this just social listening?

Not even close. Social listening tracks conversations. Trace identifies the people driving them — across scientific, clinical, and digital ecosystems.

Can’t we just look at follower counts or engagement?

Follower counts don’t predict influence. Trace evaluates expertise, credibility, amplification networks, and narrative impact.

Our agency already handles influencer work.

Agencies focus on execution and relationships. Trace provides the intelligence layer that ensures those relationships are strategic, evidence‑based, and aligned with your goals.

We already know our top KOLs.

You know the established ones. Trace identifies the rising voices, the digital accelerators, and the cross‑channel connectors shaping tomorrow’s narratives.

We don’t need another tool.

Trace isn’t another tool — it’s the foundation that makes your influencer, KOL, and DOL strategies smarter, faster, and more defensible.

The Value

Trace gives organizations a real‑time, evidence‑based understanding of who shapes conversations — and how. It replaces guesswork with clarity, and it turns influence into a measurable, actionable advantage.

Best For

Corporate Affairs


Marketing


Field Teams


Scientific Communications


Anyone responsible for shaping influence


 

Want to learn more? Let's connect.

Connect Now