Price captures verified 2026-08-09; overall scores unpublished

How to Remove Yourself From Data Broker Sites

You can remove yourself from many data-broker and people-search sites using each site’s free opt-out path, but expect repeats and incomplete coverage. Start with a self-search inventory, file opt-outs for the worst listings, harden email and MFA, then consider automation only if the maintenance burden stays high. We do not invent broker totals or success percentages. When paid options appear below, starting prices come from claim-ledger captures (2026-08-09); overall scores stay unpublished.

  • Guide · Free-first · ~15 min read

Fastest free path

  1. 1Inventory listings with site name, URL, and data exposed
  2. 2File official opt-outs for the top visibility hits first
  3. 3Avoid uploading unnecessary identity documents to random forms
  4. 4Re-check priority listings after a few weeks and log outcomes
  5. 5Harden email + MFA in parallel
  6. 6Evaluate paid automation only if DIY cannot keep up
Start free data exposure check →

Step-by-step guide

  1. 1

    Map your broker exposure

    Free

    Search before you shop. Capture listing URLs so you can measure progress.

    • Search name + city variants
    • Note people-search and data-broker domains
    • Skip sites that demand passwords or government IDs for a “check”
  2. 2

    Submit free official opt-outs

    Free

    Use each broker’s published opt-out path. Expect uneven results and repeats.

    • Follow official forms only
    • Record submission dates
    • Re-check after a few weeks
  3. 3

    Harden the accounts brokers enrich against

    Free

    Removal helps less if email and banking stay easy to take over.

    • Unique passwords or a password manager
    • MFA on email and finance
    • Review recovery contacts
  4. 4

    Decide on paid automation

    Optional paid

    Pay only when listing volume outruns your time. Prefer pack shortlist products after free limits are clear.

    • Estimate monthly DIY hours
    • Read who should not buy on product pages
    • Use /go/ links only for pack merchants you choose
  5. 5

    Build a boring tracking sheet

    Free

    Broker work fails when it is chaotic. A simple sheet beats screenshots in camera rolls. Track request dates and follow-ups without inventing “industry average removal times.”

    • Columns: site, URL, data types, date submitted, status
    • Calendar reminder to re-check
    • Note which sites demand extra verification
  6. 6

    Who should not buy automation yet

    Free

    If you have filed zero free opt-outs, if you mainly need credit freezes, or if you require verified scores/prices before purchase, wait. DeleteMe may appear for comparison without a pack /go/ deal, that is an integrity control, not a broken button.

    • Complete one DIY cycle first
    • Read Are data removal services worth it?
    • Do not expect public records to disappear

What cannot always be removed

  • Public records outside broker control
  • Information other people publish about you
  • Brokers that ignore legitimate opt-outs
  • Anything requiring passwords, government IDs, or banking data for a Security Checklist “check”
  • A guarantee of permanent delisting everywhere

Sources

  • People-search / broker opt-out pages (public), Procedural references; follow each site’s current official form
  • Incogni / Aura claim ledgers, Verified 2026-08-09 starting_price captures in data/claim-ledgers/; scores unpublished
  • Vendor marketing pages, aura.com / incogni.com / joindeleteme.com / lifelock.norton.com feature and pricing claims, not independent evidence; re-verify same-day
  • Security Checklist methodology, How commercial pages are structured before scores publish, /methodology/
  • Claim ledger (T014), data/claim-ledgers/aura.json, incogni.json, deleteme.json, lifelock.json, surfshark.json: starting prices verified 2026-08-09; overall scores unpublished

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