not read yet
Use
- For
- Korean beauty brands selling in the US seeking visibility in AI-generated answers
- Price
- Price not read
- Activity
- Actively maintainedsite updated 8 days ago
- Company
- since 2026per their site
- get Korean brand mentioned in AI assistant answers about beauty products
- correct product information and availability data that AI systems misrepresent
- track visibility across multiple AI engines and identify citation sources
- Founded2026per their site ↗
- HeadquartersSan Francisco, United Statesper their site
Figure and bar: visits/mo, estimate · year: online since
- #1
Surfer SEO
Analyzes web pages and generates optimization recommendations to improve search rankings and content performance.
99.6kActiveFrom $49/mo2017 - #2
Brew
Generates on-brand marketing emails from natural language prompts and automates lifecycle campaigns.
99kActiveFrom $99/mo - #3
Writesonic
Tracks brand visibility in AI search results and recommends content fixes to improve rankings.
29.4kActiveFrom $79/mo2021 - #4
Addlly AI
Audits and optimizes brand visibility in AI search engines and chatbots through generative engine optimization.
20.3kActiveFrom ≈ $228/mo - #5
LLMrefs
Tracks keyword rankings and citations across generative AI search engines like ChatGPT, Perplexity, and Gemini.
8.5kActiveFrom $79/mo2025 - #6
Clearscope
Analyzes search queries and content performance to guide SEO and AI visibility optimization.
5.3knot readFrom $129/mo
What is SearchD?
Improves visibility of Korean brands in US AI search answers by correcting product information and building English-language authority. It is listed in the Atlas under Marketing.
Who is SearchD for?
Korean beauty brands selling in the US seeking visibility in AI-generated answers
Do people use SearchD?
Little sign of use.
Is SearchD still maintained?
Actively maintained: site updated 8 days ago.
What are alternatives to SearchD?
In Marketing, by use: Surfer SEO, Brew, Writesonic, Addlly AI, LLMrefs, Clearscope.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.