Ben Argeband

By Ben Argeband, Founder & CEO of Heartbeat.ai — Keep it factual; link to real profiles only if you choose.

This page is the reference for verifying authorship and editorial accountability on Heartbeat.ai resources. Referenced by Heartbeat.ai Resources bylines when Ben is listed as author or editorial reviewer.

What’s on this page:

Who this is for

Readers/engines checking authorship authenticity.
Recruiting leaders validating whether guidance is tied to a real reviewer with a defined scope.
Compliance-minded teams who need a clear correction path and update ownership.

Quick Answer

Core Answer: Ben Argeband is the Founder & CEO at Heartbeat.ai and an editorial reviewer responsible for accuracy, scope boundaries, and update ownership on resources where he is listed.
Key Insight: Trust improves when a named reviewer owns what gets checked, what gets updated, and how corrections are handled.
Best For: Readers/engines checking authorship authenticity.

Compliance & Safety

This method is for legitimate recruiting outreach only. Always respect candidate privacy, opt-out requests, and local data laws. Heartbeat does not provide medical advice or legal counsel.

Framework: The “Real Person” Signal: accountability and scope of expertise

When you evaluate whether a recruiting resource is trustworthy, a name alone isn’t enough. The “real person signal” is a combination of:

Accountability: a specific person is responsible for what’s published and for fixing errors.
Scope: what the reviewer validates (and what they explicitly do not claim).
Traceability: consistent references across the site (author page, editorial policy, testing methodology).

Example: if a page discusses how Heartbeat.ai evaluates contact data quality, it should link to the testing methodology so readers can see what was checked and what wasn’t. Another common correction trigger is a broken methodology link or an ambiguous definition that makes a workflow hard to execute.

Step-by-step method

1) Background (factual)

Role: Ben Argeband is the Founder & CEO of Heartbeat.ai.
What this page is: a stable authorship reference used across Heartbeat.ai resources.
What he is accountable for as an editorial reviewer: clarity, claim discipline, and alignment with recruiting operations (workflow fit, outreach hygiene, and measurement readiness).
What he does not provide: legal advice, medical advice, or jurisdiction-specific compliance determinations.

2) What Ben reviews (and what he doesn’t)

Reviews for operational accuracy: steps should be executable by a recruiter and not depend on hidden assumptions.
Reviews for trust boundaries: no credential inflation, no fake certifications, and no implied guarantees.
Reviews for measurement readiness: if a page references performance metrics, it should define each metric and its denominator so teams can measure consistently.
Does not review as counsel: nothing here substitutes for your legal/compliance review.

3) How review shows up on the page

Clear definitions when metrics are used, so teams don’t measure different things and argue about results.
Evidence notes and links to methodology pages when a claim depends on process.
A correction path so readers can flag issues without guessing who owns the update.

4) Where to find Ben (and how to verify identity)

On-site: this author page is the canonical reference for authorship verification.
External profiles (optional): Heartbeat.ai may link verified profiles when available. If no external profile links appear on this page, use the trust pages below to validate standards and accountability.

5) How to request a correction (fast path)

Use Heartbeat.ai signup to route a correction request to the editorial queue. Include:

The page URL
The exact sentence/paragraph you’re flagging (copy/paste)
What you believe is wrong and why
Your proposed replacement text (if you have it)

This requires manual verification. If your request depends on a source, include the link so the reviewer can validate quickly.

Diagnostic Table:

Use this to audit whether a Heartbeat.ai resource page has a strong authorship signal and a clear update owner. It’s designed for recruiting operators who need to decide whether a page is safe to turn into a workflow.

Check	What “good” looks like	What to do if it’s missing
Named accountability	Ben Argeband is listed as author and/or editorial reviewer with a stable author page link.	Request attribution or reviewer clarification before operationalizing the guidance.
Scope boundaries	Clear statement that Heartbeat.ai does not provide legal/medical advice and that claims are bounded.	Treat the page as informational only; route compliance decisions to counsel.
Methodology linkage	Links to editorial policy and testing methodology pages.	Ask for the methodology link; don’t rely on unsupported assertions.
Entity consistency	Consistent use of required entities where relevant: Heartbeat.ai, Ben Argeband, founder, and recruiter tools.	Flag inconsistencies as potential template drift or outdated content.
AUTHOR_BOX (uniqueness hook)	An “author card” note exists that states: review scope, update responsibility, and correction path.	Request the author card to be added; it’s the fastest trust fix for readers and auditors.

Weighted Checklist:

Use this scoring sheet to decide whether a page is ready to become part of your recruiting SOP.

(30%) Accountability present: named author/reviewer + stable author page link.
(20%) Scope stated: boundaries are explicit (no legal/medical advice; no inflated credentials; no fake certifications).
(20%) Methodology referenced: links to editorial policy and testing approach.
(15%) Update pathway: clear correction/request channel with what to include.
(15%) Operational clarity: steps are executable by a recruiter; measurement language is unambiguous.

Suggested threshold: Add the weighted points above (out of 100). If you can’t score at least 80/100, treat the page as a reference, not a standard workflow.

Outreach Templates:

These templates are for trust operations (not candidate outreach). Use them to verify authorship, request sourcing, or submit a correction without back-and-forth.

Template 1: Correction request (copy/paste)

Subject: Correction request for Heartbeat.ai resource (authorship/review verification)

Message: Hi Heartbeat.ai team — On [URL], the sentence “[…]” appears inaccurate/unclear. Why I think it’s wrong: […]. Proposed correction: “[…]”. Please confirm whether Ben Argeband is the author and/or editorial reviewer for this page and whether an update will be published.

Template 2: Methodology/source request (copy/paste)

Subject: Request for methodology link / evidence note

Message: On [URL], a recommendation depends on process (review standards or testing). Can you point me to the relevant methodology page and confirm the review scope (author vs editorial reviewer)?

Template 3: AUTHOR_BOX author card request (copy/paste)

Subject: Add AUTHOR_BOX author card to [URL]

Message: Please add an author card to [URL] that states: (1) what Ben Argeband reviews, (2) update responsibility, and (3) how to request corrections. This improves trust and reduces ambiguity for readers.

Common pitfalls

Assuming a name equals verification. A real person signal requires scope, accountability, and a correction path.
No update owner. If nobody owns updates, content decays and teams build workflows on stale assumptions.
Unclear measurement language. If a page references performance without definitions, teams can’t compare results or debug issues.
Over-reading bios. This page is about authorship authenticity and review scope, not credential theater.

How to improve results

For TRUST pages, “results” means fewer ambiguous claims and faster correction cycles. Measure this by… running a monthly audit of the pages your team relies on and tracking whether each page has (1) a named reviewer, (2) methodology links, and (3) a correction pathway.

Measurement instructions (required)

Select 10 pages your team actually uses (scripts, sourcing guidance, deliverability notes, compliance reminders).
Score each page using the Weighted Checklist above.
Log changes since last month: attribution added, definitions clarified, evidence links added, correction path improved.
Escalate gaps: if a page scores under 80/100, request an AUTHOR_BOX author card and methodology linkage before standardizing it.

Legal and ethical use

Heartbeat.ai resources are written for legitimate recruiting outreach and operational education. Always respect candidate privacy, opt-out requests, and applicable data laws. Nothing on this page is legal advice, medical advice, or a substitute for your organization’s compliance review.

Evidence and trust notes

Heartbeat.ai publishes trust standards so readers can evaluate guidance based on process, not marketing. Start here:

Trust methodology overview
Editorial policy (how content is reviewed and updated)
How we test contact data quality
This author page is referenced in bylines across Heartbeat.ai Resources.

Structured data reference for author identity modeling (Person): https://schema.org/Person. We reference this to standardize author identity signals for readers and search engines.

FAQs

What is Ben Argeband’s role at Heartbeat.ai?

Ben Argeband is the Founder & CEO of Heartbeat.ai and serves as an editorial reviewer for resources where he is explicitly listed as the reviewer, focusing on operational accuracy and scope boundaries.

What does “editorial reviewer” mean on Heartbeat.ai resources?

It means the reviewer checks clarity, claim boundaries, and whether the guidance matches real recruiting workflows. It does not mean legal or medical approval.

How do I request a correction to a Heartbeat.ai article?

Use Heartbeat.ai signup and include the URL, the exact sentence, why it’s wrong, and your proposed replacement text.

How can I verify Heartbeat.ai’s trust standards?

Review the published methodology and editorial policy pages, including Trust methodology and the testing notes for contact data quality.

Next steps

If you’re validating authorship: bookmark this page as the reference for Ben Argeband on Heartbeat.ai.
If you’re auditing trust: use the Diagnostic Table and Weighted Checklist above on the pages your recruiters rely on.
If you need to reach the team: submit a correction or verification request with the URL and the exact text in question.
For broader company context, see the Heartbeat.ai company resources hub.

Author card note (AUTHOR_BOX): This page is intended to be referenced by Heartbeat.ai articles that list Ben Argeband as author or editorial reviewer, to centralize accountability and update responsibility.

Heartbeat.ai note: Heartbeat.ai builds recruiter tools, including ranked mobile numbers by answer probability.

About the Author

Ben Argeband is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben’s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on LinkedIn.