# Deep Search vs TeaChecker

Deep Search records 359,001 monthly visits with -52.7% month-over-month growth and Paid pricing. TeaChecker records 12,418 monthly visits with -45.6% growth and Paid pricing.

| Metric | [Deep Search](https://openaitools.app/tool/deep-search) | [TeaChecker](https://openaitools.app/tool/teachecker) |
| :--- | :--- | :--- |
| Website URL | https://www.deepsearch.bio | https://teaaboutme.com |
| Categories | AI Search Engine, AI Assistant, AI Lead Generation, AI Recruiting | AI Dating Assistant |
| Pricing Model | Paid | Paid |
| Monthly Visits | 359,001 | 12,418 |
| MoM Growth Rate | -52.7% | -45.6% |
| Primary Market | United States | United States |
| Direct Visits | 43,324 | 2,565 |
| Review Score | 3.8 | 3.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Deep Search

Deep Search replaces the tedious ritual of opening a dozen browser tabs whenever you need to understand a person. Instead of jumping between LinkedIn, a Google results page, a GitHub account and a company team page, you start with a single name and optionally add context such as employer, city or job title. The tool then proposes candidate matches so you can confirm you are looking at the right individual, especially with common names.

Once a match is confirmed, Deep Search compiles a structured profile: current and previous roles, companies, most likely city and region, education and alumni mentions, plus news articles, podcast appearances, talks and other web mentions. Everything is condensed into a short AI summary with inline links, so each assertion can be traced back to the public page it came from. A follow-up chat lets you ask targeted questions about a person's projects, background or public statements without starting the research over.

Deep Search presents itself as a tool for recruiters sourcing passive candidates, founders preparing for investor and partner conversations, analysts mapping a market, and journalists doing pre-interview research. Lookups are private — the people you search are not notified — and the site repeatedly notes that it is for research only, not for regulated screening decisions such as employment, credit, housing or insurance.

**Pricing & Plans:** Paid subscription. The site advertises plans starting at $7.99 per week, with higher tiers available; exact limits and feature splits should be confirmed on the vendor's own pricing page before purchase.

- **Name-based search with candidate matching:** Enter a name, add optional context like company or location, and pick the right person from a list of matching profiles before generating anything.
- **AI-enriched structured profiles:** Roles, companies, career arcs, likely location, education and web mentions are assembled into one readable dossier rather than scattered across sites.
- **Fully sourced claims:** Each statement in the summary is linked to the public page it came from, so you can verify facts instead of trusting an opaque model output.
- **Follow-up research chat:** Ask clarifying questions about a person's projects, roles or public statements and get answers grounded in the collected sources.
- **Private lookups:** Searches do not notify the subject, and the product is positioned as open-web research rather than contact or surveillance data mining.

**Strengths:** Consolidates a multi-tab manual research process into a single search and summary; Sources are linked, which makes verification possible instead of taking an AI summary on faith; Candidate disambiguation helps with common names and false matches; Lookups stay private and the subject is never notified

**Limitations:** Not a background check service and not FCRA-compliant, so it cannot be used for regulated screening decisions; Quality depends entirely on how much public web presence a person has — thin profiles yield thin results; Subscription-only with weekly pricing, and no permanent free tier advertised on the homepage

[Profile (Markdown)](https://openaitools.app/tool/deep-search.md)

## TeaChecker

TeaChecker addresses a narrow but specific question: am I being discussed on Tea? The service takes the details you provide — social handle, photo, name, city, age or phone number — and reviews them against what can be found on the Tea app, then emails a single clear outcome: Found, Not Found or Possible Match. Uncertainty is labelled rather than hidden, and screenshots are included when they can be captured, so you get evidence instead of a vague yes or no.

Privacy is the organising principle. Requests are kept confidential and are never resold, checkout happens once through Stripe over an SSL connection, and there is no subscription to cancel. The typical turnaround target is 24 hours after payment confirmation, which keeps the whole thing to a single session rather than an ongoing commitment.

The site pitches itself to people responding to a pattern rather than a single event — cold matches, cancelled second dates, friends asking odd questions, or engagement dropping after a breakup. It also has a blog and relies on a simple three-step flow: submit details, pay securely, receive a reviewed result by email.

**Pricing & Plans:** Paid, one-time payment per lookup — no subscription. Checkout is handled by Stripe with SSL encryption. The current price is shown at checkout on the site.

- **Private profile lookup:** Search possible Tea app posts using a handle, photo, name, city, age or phone number, with requests kept confidential and never resold.
- **Reviewed, honest outcomes:** You receive Found, Not Found or Possible Match — uncertainty is labelled clearly instead of being presented as certainty.
- **Screenshots when available:** Where evidence can be captured, the result email includes screenshots rather than just a verdict.
- **24-hour delivery target:** Most lookups are completed and emailed within about 24 hours of payment confirmation.
- **One-time Stripe payment:** A single secure checkout with SSL encryption — no recurring billing or subscription to manage.

**Strengths:** Single clear outcome rather than a vague report; One-time payment with no subscription commitment; Confidential handling of submitted details, not resold; Fast turnaround target of roughly 24 hours

**Limitations:** Independent third-party service, not affiliated with the Tea app; Results depend on what is publicly discoverable, so a Not Found result is not a guarantee; No free tier — you pay before seeing any result

[Profile (Markdown)](https://openaitools.app/tool/teachecker.md)

## Frequently Asked Questions

### How do Deep Search and TeaChecker compare in monthly traffic?

Deep Search has 359,001 monthly visits, while TeaChecker has 12,418. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Deep Search has a month-over-month growth rate of -52.7%; TeaChecker has -45.6%.

### How does pricing compare?

Deep Search: Paid. Paid subscription. The site advertises plans starting at $7.99 per week, with higher tiers available; exact limits and feature splits should be confirmed on the vendor's own pricing page before purchase. TeaChecker: Paid. Paid, one-time payment per lookup — no subscription. Checkout is handled by Stripe with SSL encryption. The current price is shown at checkout on the site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) |
| 3 | [Lenso.ai](https://openaitools.app/tool/lenso-ai) | 1,588,648 | -1.3% | Freemium | Performs AI-powered reverse image and face search across the web, though less optimized for structured professional profile aggregation. | [.md](https://openaitools.app/tool/lenso-ai.md) |
| 4 | [What Brandon Thinks](https://openaitools.app/tool/what-brandon-thinks) | 826,572 | +437.4% | — | Upload a chat and get what Brandon really thinks | [.md](https://openaitools.app/tool/what-brandon-thinks.md) |
| 5 | [Juicebox (PeopleGPT)](https://openaitools.app/tool/juicebox-work) | 293,157 | -3.4% | Paid | Converts natural language hiring prompts into ranked candidate lists, focusing heavily on recruiting rather than general OSINT research. | [.md](https://openaitools.app/tool/juicebox-work.md) |
| 6 | [Lessie AI](https://openaitools.app/tool/lessie-ai) | 285,205 | -23.7% | Freemium | Locates public social profiles and professional leads, but lacks Deep Search's deep OSINT background verification reports. | [.md](https://openaitools.app/tool/lessie-ai.md) |
| 7 | [Face Search AI](https://openaitools.app/tool/face-search-ai) | 211,136 | +10% | Freemium, Paid | Scans public web pages for matching faces, providing a biometric search angle that complements traditional text-based people research. | [.md](https://openaitools.app/tool/face-search-ai.md) |
| 8 | [CheatEye](https://openaitools.app/tool/cheateye) | 149,832 | -17.2% | Free | AI search engine for finding Tinder profiles | [.md](https://openaitools.app/tool/cheateye.md) |
| 9 | [ROAST Dating](https://openaitools.app/tool/roast-dating) | 100,608 | -9.8% | Paid | AI dating profile review and studio-quality AI dating photos | [.md](https://openaitools.app/tool/roast-dating.md) |
| 10 | [WingAI: Your AI Wingman](https://openaitools.app/tool/wingai-your-ai-wingman) | 99,445 | +87.6% | Freemium, Free Trial | AI rizz wingman that reads the chat and writes openers that sound like you | [.md](https://openaitools.app/tool/wingai-your-ai-wingman.md) |

---
Source: https://openaitools.app/compare/deep-search-vs-teachecker

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
