Data-Broker Removal

Your home address, phone, relatives, and past addresses are listed on dozens of people-search sites — scraped and resold. You can't clear all of them forever, but you can remove the highest-impact ones and slow the reappearance. This gives a prioritized opt-out plan: which brokers to hit first, how to opt out of each, and how to reduce the sources feeding them.

What This Skill Produces

• A prioritized target list — the biggest/most-visible brokers and people-search sites first, where removal matters most
• The opt-out method per site — the specific route (opt-out form, email, verification steps) for each
• Source suppression — reducing what feeds the brokers (public records settings, marketing opt-outs, tightening accounts)
• A recheck cadence — because listings reappear; when and how to re-scan and re-remove
• Safe-handling cautions — how to opt out without oversharing new data or falling for fake "removal" services
• A do-it-yourself vs paid-service note — honest tradeoffs of removal services

Required Inputs

Ask for these if not provided:

• Your goal — general privacy, or a specific worry (safety, harassment, a stalker — changes urgency)
• What's exposed — address, phone, email, relatives, workplace (from a self-search)
• Region — determines which brokers and which privacy rights apply
• Time/effort — DIY or considering a paid removal service
• Safety context — if there's a safety threat, that reprioritizes everything

Framework: Biggest First, Suppress The Source, Repeat

1. Self-search to map exposure. Search your name + city to see what's actually listed and where — target from reality, not a generic list.
2. Hit the high-impact brokers first. The largest aggregators feed the smaller ones; removing them has outsized effect.
3. Follow each site's real opt-out. Use the site's official opt-out page; verify carefully and don't submit more than required.
4. Suppress at the source. Reduce public-record exposure, opt out of marketing data sharing, and lock down accounts so brokers have less to re-scrape.
5. Recheck on a cadence. Listings return; schedule periodic re-scans and re-removals — it's maintenance, not one-and-done.
6. Mind safety and scams. For a genuine safety threat, prioritize and consider expert help; avoid "removal" services that are themselves data grabs.

Output Format

Data-broker removal: goal x] · region] · DIY/service]

Map it: self-search results → what's exposed.

Remove (priority order)

1. Major broker] — opt out via method/URL type], verify by step].
2. Broker] — method].

… (highest-traffic first)

Suppress the source: public-record/marketing/account settings]. Recheck: every 1–3 months] — re-scan and re-remove. Cautions: submit only required info · avoid shady "removal" services · safety note if relevant].

Quality Checks

• ] Starts from a real self-search, not a generic list
• ] Prioritizes the highest-impact brokers first
• ] Gives the specific opt-out method per site
• ] Includes source-suppression so data stops flowing back
• ] Sets a recheck cadence (reappearance is expected)
• ] Cautions against oversharing and fake removal services
• ] Reprioritizes for genuine safety threats

Anti-Patterns

• Treating it as one-and-done — listings come back.
• Random order instead of biggest-impact-first.
• Oversharing extra data in the opt-out itself.
• Ignoring the source so brokers just re-scrape.
• Recommending a sketchy removal service that harvests data.

Example Trigger Phrases

• "How do I get my home address off those people-search sites?"
• "Remove my personal info from data brokers."
• "My phone number and relatives are showing up online — help."
• "I want to shrink my digital footprint for safety reasons."
• "Are data-removal services worth it, or can I do it myself?"