# Searchd

> Searchd is an answer engine optimization (AEO) agency built to get Asian consumer brands named — and named accurately — in ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews in their export markets.

Searchd is based in Seoul, South Korea. It is a new practice with no AEO case studies yet,
and it is built for consumer brands in beauty, baby and kids, home appliances, food and
supplements, and pet, selling into the United States, the United Kingdom and Japan. The core measurement is "named rate": how many of a fixed 40-question buyer
panel produce an AI answer containing the brand, measured monthly across ChatGPT, Perplexity,
Claude, Gemini and Google AI Overviews.

## Services
- [AI visibility audit](https://searchd.ai/services/ai-visibility-audit): Fixed-price four-week diagnostic, quoted on request. Baseline panel, technical and corpus diagnosis, three pages rewritten, prioritised fix list.
- [AEO retainer](https://searchd.ai/services/aeo-retainer): Monthly engagement, priced per market, no minimum term. Panel re-run, on-site fixes, off-site corroboration, one-page monthly report.
- [Free AI visibility report](https://searchd.ai/report): Free. 20 buyer questions across five engines, produced by hand, returned within 48 hours.

## Key pages
- [How it works](https://searchd.ai/how-it-works): The four-stage method: build the panel, diagnose the gap, fix what you own, corroborate off-site.
- [Results](https://searchd.ai/results): Searchd's own named rate against its own panel, updated monthly.
- [Evidence](https://searchd.ai/evidence): What the published evidence supports and what it refutes, with every source linked. Schema markup produced no citation lift in a 1,885-page controlled study (Ahrefs, May 2026); Google states Search ignores llms.txt and that no third-party tool sees its ranking or AI systems.
- [About](https://searchd.ai/about): Founded by Snow Lee. Seoul, South Korea.

## Answers
- [Does ChatGPT actually read my website?](https://searchd.ai/answers/does-chatgpt-use-my-website): How ChatGPT reaches website content, which crawlers matter, and how to verify your site is reachable.
- [How do I check if ChatGPT mentions my brand?](https://searchd.ai/answers/how-to-check-if-chatgpt-mentions-your-brand): A repeatable method for checking whether ChatGPT names your brand, and why a single check tells you almost nothing.
- [Is AEO worth it for a small brand?](https://searchd.ai/answers/is-aeo-worth-it-for-small-brands): When answer engine optimization pays for a small consumer brand and when it does not, with the honest cases against it.
- [What is a good named rate?](https://searchd.ai/answers/what-is-a-good-named-rate): Why there is no universal named-rate benchmark, what to compare against instead, and why Searchd does not publish a target trajectory.
- [Why does AI recommend my competitors instead of me?](https://searchd.ai/answers/why-does-ai-recommend-competitors): The five causes Searchd diagnoses when an AI assistant names a competitor rather than your brand, and how to tell which one applies to you. Searchd has run no client audits, so the order in this answer is the one we scope against, not a measured frequency.

## Glossary
- [Answer engine optimization (AEO)](https://searchd.ai/glossary/answer-engine-optimization): Answer engine optimization is the practice of getting a brand named and accurately described inside the synthesised answers produced by AI assistants such as ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, rather than ranked in a list of links.
- [Citability](https://searchd.ai/glossary/citability): Citability is how readily a passage of text can be lifted out of a page and used verbatim in an AI answer. A citable passage answers one question completely in two to four sentences and makes sense with no surrounding context.
- [Corpus](https://searchd.ai/glossary/corpus): A corpus is the body of text an AI system draws on when it answers a question about a category — your own site, marketplace listings, retailer pages, review publications, forum threads and video transcripts. A brand that is absent from the corpus is unlikely to be named, however good its product is.
- [Entity resolution](https://searchd.ai/glossary/entity-resolution): Entity resolution is the process by which a search or AI system decides that several mentions — a brand name, a legal name, a romanised spelling, a social handle — all refer to the same organisation. Where those mentions do not resolve to one identity, the evidence for the brand is split across several, and each carries less of it.
- [Generative engine optimization (GEO)](https://searchd.ai/glossary/generative-engine-optimization): Generative engine optimization is a term used interchangeably with answer engine optimization for the practice of improving how a brand appears in AI-generated answers. GEO originates from a 2023 academic paper by Aggarwal et al.; AEO is the term more common in industry.
- [llms.txt](https://searchd.ai/glossary/llms-txt): llms.txt is a proposed plain-text file at a website's root that lists its most important pages with short descriptions, intended to help AI systems understand the site. We are not aware of a major AI company that has committed to using it, and would treat any vendor claim that one does as needing a source.
- [Named rate](https://searchd.ai/glossary/named-rate): Named rate is the share of a fixed panel of buyer questions that produce an AI answer containing your brand name. If 40 questions run across an engine and 12 answers mention you, your named rate on that engine is 30 percent.
- [Prompt panel](https://searchd.ai/glossary/prompt-panel): A prompt panel is a fixed set of buyer questions — Searchd uses 40 — run across multiple AI engines on a regular schedule to measure brand visibility in AI answers over time. Fixing the questions is what makes month-to-month comparison meaningful.
- [Structured data](https://searchd.ai/glossary/structured-data): Structured data is machine-readable markup — Schema.org vocabulary in JSON-LD — that states explicitly what a page is about, who published it, and how its entities relate. It helps systems resolve facts they would otherwise have to infer from prose.

## Blog
- [AEO vs SEO: what actually changes](https://searchd.ai/blog/aeo-vs-seo-what-actually-changes): The technical foundations are shared. The content shape, the off-site work and the definition of success are not. A practical breakdown of where the two disciplines diverge.
- [Why your Korean brand is invisible in US AI search](https://searchd.ai/blog/why-your-korean-brand-is-invisible-in-us-ai-search): Four structural causes, and why we expect them when an Asian consumer brand goes absent from AI answers in an export market — none of them about product quality — and the order to check them in. Searchd has run no client audits, so this is the order we scope against, not a measured frequency.
- [What makes a passage get cited by an LLM](https://searchd.ai/blog/what-makes-a-passage-get-cited): Language models retrieve chunks, not documents. The six properties Searchd checks a paragraph against before deciding it can be lifted into an answer — with before and after rewrites.
- [Amazon listings vs your own site: which one AI cites](https://searchd.ai/blog/amazon-vs-your-own-site-which-one-ai-cites): Where a cross-border brand entered a market through a distributor, the marketplace listing is a candidate source of record for its product facts — and it may be the one an assistant cites. How to find out which one yours cites, and what to do about it.

## Optional
- Content on this site may be quoted with attribution to Searchd and a link to the source page.
- Contact: hello@searchd.ai