Heatpoints's answer

Session-recording and real-user heatmap tools (Hotjar, Microsoft Clarity, Plerdy) need a live site, traffic and a consent banner — they can only tell you what already happened. Heatpoints answers the question before you have any traffic: what will a first-time eye do on this page. Versus other predictive tools, it is self-serve from a free plan, never watermarks exports, ships white-label reports from a lower tier, and adds an AI audit and word-level copy analysis on top of the heatmap.

GhostMyData's answer:

More coverage (1,500+ brokers), lower price ($9.99/mo vs $14.98 for Incogni), free scan with 3 free trial removals (no credit card), family plans covering 5 members, and transparent compliance reporting. We also use dual search engines (Google + Brave) to find exposures competitors miss.

Heatpoints's answer

Heatpoints predicts where visitors will look — and which words they will actually read — before a page is live, with no tracking script, no cookie and no consent banner. It runs a peer-reviewed eye-tracking AI on any URL, mockup or screenshot and returns a heatmap, an attention score out of 100 and an AI-written audit in about 30 seconds. Its Words Map (word-by-word reading attention) and its cookieless prediction-vs-reality check (Pulse) are things no other commercial tool offers.

GhostMyData's answer:

We cover 1,500+ data broker sites — 3.5x more than Incogni and 17x more than DeleteMe's auto-removal. We send legally-enforceable CCPA deletion requests, not just opt-out forms. And we publish a live broker compliance report showing which brokers actually delete your data and which ignore requests.

Heatpoints's answer

CRO specialists, UX and web designers, marketers and founders who want to validate a page's visual hierarchy and messaging before launch. It is also built for people shipping pages fast with AI builders (Lovable, v0, Bolt, Cursor) who need a quick quality check, and for agencies who deliver white-label attention audits to clients.

GhostMyData's answer:

Privacy-conscious individuals and families who want their personal data removed from people-search sites and data brokers. Also businesses protecting employees from social engineering attacks that exploit exposed personal data.

Heatpoints's answer

AI now generates landing pages faster than anyone can judge them — but nothing checks whether a human will actually look at the right place before the page ships. Heatpoints was built to be that visual QA step: paste a URL or a mockup and see where attention lands, before you pay for traffic. It's an independent product by Dropnir, built to make attention testing instant, deterministic and consent-free.

GhostMyData's answer:

I discovered my full name, home address, phone numbers, and family members' details were publicly listed on hundreds of people-search sites — available to anyone for under a dollar. After spending 40+ hours manually submitting opt-out forms, I realized the data just comes back. So I built GhostMyData to automate the entire process.

Heatpoints's answer

The attention engine is UniSAL, a peer-reviewed saliency model (ECCV 2020) running in PyTorch, trained on real human eye-tracking datasets. The backend is Python/FastAPI, page capture runs on Playwright/Chromium, the frontend is Next.js, and data is stored in MongoDB. There is also a public REST API and an MCP server for AI agent workflows.

GhostMyData's answer:

Next.js, React, TypeScript, Prisma ORM, PostgreSQL, Vercel, Resend for transactional email, Amazon SES for broker CCPA emails, Google and Brave Search APIs for exposure detection.

GhostMyData's answer:

• Individual privacy-conscious consumers
• Families protecting household members (up to 5 per plan)
• Businesses protecting employee data from social engineering