Free backlink tools

Author Contact Finder

Paste a link to any blog post and find the author's contact details — so you can reach out about a backlink placement without digging through the site yourself.

Ready when your link is.

Paste an article URL to find the author's contact details.

Results

Know exactly who to email next.

The author's name and most likely email — labelled with a confidence level, not presented as verified unless it actually is.

Reads the article byline, not just the domain's generic inbox.
Every email is labelled with a confidence level, never presented as verified when it isn't.
Falls back to a general contact when no direct author email exists.

Contact details appear after the search.

Paste an article URL above to find who wrote it and how to reach them.

More than one lookup

Turn author lookups into a recurring outreach queue.

Mentiohunt finds where your articles fit, surfaces the contact, and drafts the outreach — so you approve or reject, instead of hunting for emails one article at a time.

Why the author, not the site, is the right target

Most contact-finding tools point you at a company's generic inbox or a corporate email pattern. For backlink outreach, that's the wrong target — a generic hello@ inbox rarely reads placement requests, and a guessed firstname.lastname@company.com pattern is built for sales, not editorial contact.

The person who can actually add a link to an article is the one who wrote it, or edits it. This tool starts there: it reads the byline on the article itself, then looks for how that specific person can be reached.

How it works

Paste a link to a specific article — not a homepage. The tool reads the byline, checks the author's bio page and any linked social profiles, and returns:

Name and role — who wrote the piece, and their apparent position (founder, staff writer, contributor).

Most likely email, labelled with one of three confidence levels:

  • Confirmed — found directly on a public author bio or contact page.
  • Likely match — inferred from the byline plus a linked profile (e.g. a LinkedIn account naming the same person).
  • Pattern guess — no public source found; estimated from a common email convention for the domain. Treat this as a hypothesis, not a working address.

Social links, when available, so you can reach out somewhere other than email if a guessed address seems risky.

A fallback contact — a general editorial or partnerships inbox — when no individual author is identifiable.

Using the result well

Lead with confirmed contacts first. A confirmed email from an author bio page will get a response far more often than a guessed pattern, even if the guessed pattern happens to be right.

For likely matches, a quick manual check helps: does the LinkedIn profile match the name in the byline, and does it list the same publication? A 30-second check avoids emailing the wrong person.

For pattern guesses, don't lead with an ask. If you have a social profile for the author, a short reply-style comment or DM referencing their article often converts better than a cold email to an unverified address.

What this tool doesn't do

It doesn't verify deliverability — a confirmed email can still bounce if the author has left the publication. It doesn't check whether the person accepts outreach or has editorial authority to add a link. And it can't tell you whether the article is still actively maintained.

Use the result as your starting point for who to contact, not a guarantee that the outreach will land. For a workflow that pairs contact discovery with fit scoring and a ready-to-send draft — across your entire content list, not one article at a time — Mentiohunt runs this daily and surfaces a prioritized queue instead of a one-off lookup.

Frequently asked questions

Does this give me a verified email address?

Not always. The tool labels every result with a confidence level — confirmed (found on a public author bio or contact page), likely match (inferred from a byline plus a linked profile), or pattern guess (no public source, estimated from a common email format). Only treat confirmed results as verified. Always double-check a guessed email before sending anything.

What if the article doesn't list an individual author?

Some articles are published under a brand or editorial team with no named byline. In that case, the tool falls back to a general contact — usually an editorial or partnerships inbox listed on the site. It's a lower-priority target than a named author, but still a valid starting point.

Why not just use a generic email finder tool?

Generic email finders take a name and a company and guess a corporate email pattern — built for sales prospecting, not content outreach. This tool starts from the article itself: it reads the byline, checks the author's bio page, and only falls back to pattern guessing when nothing public exists.

Should I use the guessed email if that's all the tool finds?

You can try it, but treat it as a starting hypothesis, not a working address. If it bounces, use the fallback general contact instead, or look for the author's social profile and reach out there first to confirm the right inbox.

Can I use this for guest post outreach, not just backlink requests?

Yes. Finding the right person to pitch is the same problem whether you're asking for a backlink, a guest post slot, or a correction. The contact this tool surfaces is the person who actually controls the content — the highest-leverage person to reach for any of those asks.