Frequently asked questions

AEO and GEO are approaches to improving content so that search and answer systems can understand it and use it as the basis for their answers. The two terms overlap in use, and neither is tied to one specific platform. AEO stands for Answer Engine Optimization and GEO for Generative Engine Optimization. As search shifts toward answer-style AI, traditional SEO alone leaves gaps where a brand fails to show up or get cited in AI answers; AEO and GEO are the work of finding and fixing those gaps.

To get your brand to show up, first find out where it’s getting stuck: crawler access, meaning, or answer selection. Take a few questions your customers would plausibly ask, check whether your brand appears in the engines’ actual answers, and then pick a fix based on the stage that’s blocked, such as lifting a crawl block or restructuring the content. The 10-step AI search visibility diagnostic walks through how to check each stage, and TRAIL Search offers this diagnosis and prioritization as a self-serve audit.

Because search rankings and AI answer citations are decided by different criteria. Among candidate documents, answer engines favor freshness signals like publish and modified dates, structured data, skeleton elements like headings and tables, and self-contained sentences placed near the top. Even a high-ranking page can be left out of the answer if those elements are missing. TRAIL Search’s AEO and GEO audit checks these items on every page and puts the fixes in order.

To fix your site, first confirm that crawlers can reach your content, then tidy up the elements you control directly on the page: titles, meta descriptions, heading structure, internal links, images, and schema markup. Putting a sentence that answers the question right up front, and organizing information in structured formats like tables and lists, makes it easier for AI to extract as an answer. Working through the 8-step on-page SEO checklist in order will show you what’s missing.

Naver, Google, and AI search each judge content by different criteria, so you need to optimize for each of the three channels separately to improve your odds of showing up. Google weighs technical SEO and E-E-A-T signals; Naver weighs activity in its own ecosystem, like blogs and cafes, and content freshness; AI search weighs easy-to-cite structure and factual accuracy relatively more. What to fix first on each channel is covered in detail in our three-channel strategy for the Korean market.

To get an LLM to cite your content, answer the concept in your first sentence with a clear definition, use structured formats like tables and lists along with inline citations to sources, and keep monitoring whether you still appear for your target questions after publishing. Having just one of definition, structure, citations, or trust signals isn’t enough; they have to be present together to lead to a citation. Our 7-step guide to creating content that AI cites lays out the process in order.

GEO diagnosis and recommendation services fall into two broad groups: consulting, where people handle everything from diagnosis to execution, and self-serve SaaS, where the brand measures, gets recommendations, and re-measures on its own. In Korea, project-based consulting aimed at large companies is the norm; monthly subscriptions exist, but most are sold through a sales conversation. TRAIL Search is a self-serve monthly SaaS you can sign up for without a card and run yourself, from finding questions to recommendations to re-measurement; plan details are on the pricing page.

Yes, TRAIL Search is a monthly SaaS that measures AI search visibility and is offered in Korean. It checks how your brand is mentioned across five engines, ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview, and gives you a prioritized list of what to improve. You can sign up for TRAIL Search on the Free plan first, with no card required.

Yes, TRAIL Search is a self-serve monthly SaaS built so small and midsize businesses can use it without a consultant. All you need to start is your site address and a few questions your customers would plausibly ask, and TRAIL Search returns a prioritized list of what to fix that your marketer can act on directly. It also helps to know how to monitor on your own with prompt tracking, so you can judge which work to hand to the tool and which to check yourself.

No, Korea has monthly subscription services as well as consulting. Most of them, though, are sold through a sales conversation, and self-serve options you can sign up for without a card are relatively rare. TRAIL Search lets you sign up without a card and run diagnosis, recommendations, and re-measurement yourself on a monthly subscription; plan details are on the pricing page.

TRAIL Labs builds AI marketing software that helps brands reach the people who need them, and make better decisions from what their marketing actually does. TRAIL Labs is the company. TRAIL Search, TRAIL Studio, and TRAIL Perform are SaaS products run by TRAIL Labs. TRAIL Perform is the product for multi-channel ad operations, performance analysis, and budget allocation and execution.

They answer different questions. TRAIL Search covers “When customers go looking, how does your brand show up?” It checks how your brand appears in customers’ questions and AI answers, and finds what to fix, in priority order. TRAIL Studio covers “What should your brand say, and how?” It turns your brand and product information into card news, detail pages, banners, and video, then tailors each piece to the channel and publishes it. They are separate products, and you can start both right now.

Yes, each product works on its own. You can use just one. If you use them together, the flow is to take the questions and fixes TRAIL Search found and create the content in TRAIL Studio. You sign up for each separately; there is no shared account or combined billing, and the products aren’t automatically connected yet.

Not at this point. None of the six is offered yet: a shared account, shared data, a shared workspace, combined billing, moving between products, or automatic hand-off. The two products bill separately, and credits aren’t interchangeable. When a product page says “after you find it, go to TRAIL Studio,” that doesn’t mean data moves over automatically; it tells you which product handles the next step.

From solo Naver Smart Store sellers to marketers at D2C and SME brands: anyone who has to make marketing content themselves. It’s an especially good fit if you run several channels but your brand standard isn’t written down anywhere, or you outsource production but the tone comes back different every time.

Yes, you can make everything from product images to blog posts, video, and banners yourself, with no production staff. Once you’ve set up your brand information, the content you create afterward follows that standard, which cuts the time spent re-fitting the same formats over and over.

Yes, sign-up is open. You can sign up in the TRAIL Search app with email verification and start on the Free plan (a 10-question self-serve diagnosis) with no card, and payment processing is in place for the paid plans (TRAIL Search Starter at ₩199,000 a month, Pro at ₩399,000, Max at ₩899,000, Custom on request, 17% off with annual billing). If running it yourself is difficult, you can also talk to your contact about handling setup and execution together.

As currently implemented, it checks how your brand is mentioned across five engines: ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview. It tracks the engines you select in your plan on a regular schedule, and an engine that couldn’t be measured because it returned no valid answer is marked unmeasured rather than 0%. Results are kept per engine, question, and time checked, so you can reopen any past run.

Questions are extracted in Korean as the base language. The number of markets (country and language) you can track at once depends on the plan: 1 (Free and Starter), 2 (Pro), or 5 (Max). If you run multiple brands or markets, or need regulatory review of medical and beauty claims (KR, JP, US), that’s configured on the Custom plan.

Recommendations rest on three layers of evidence. First, measurement rules: only questions that don’t name the brand go into the share-of-voice denominator, unmeasured is kept separate from 0%, and a period where the question set changed isn’t called an improvement. Second, public research: the original GEO paper (KDD 2024), C-SEO Bench (NeurIPS 2025), SAGEO Arena, FeatGEO (ACL 2026), and the methodology that synthesizes them; where papers disagree, we note the conditions. Third, our own research: we’re preparing to submit our own methodology as a full paper to an international peer-reviewed conference in information retrieval, and until the result is in we don’t put a number on its effect. The order of recommendations follows the evidence too: we first check that crawlers can read the body, that citation bots are allowed, and that the page loads within 2 seconds, and if a page fails that, we issue no further recommendations. The three layers are summarized in the evidence table on the about page.

We publish our measurement rules and follow them. We ask the same question several times and use the median, flag anything under 3 runs as a preliminary estimate, and mark an engine that returned no valid answer as unmeasured rather than 0%. Every result carries the engine, the question, and the time checked, so you can reopen past runs, and we guide you to read the difference between re-measurements as the model’s random variation versus real change. Whatever we couldn’t measure, we say we couldn’t.

TRAIL Search re-runs the diagnosis after you make fixes and shows the difference from the previous run. Each run records which questions were asked of which engines and when, with the time checked, and you can reopen past runs to compare. Changes in AI answer visibility and actual visits to your site are different metrics, so we show them separately rather than combining them. An engine that couldn’t be measured because it returned no valid answer is marked unmeasured rather than 0%.

Raw engine answers are kept for 90 days. After that, they remain as observation records, such as mentions, rank, sentiment, and cited URLs, and run-over-run comparisons and share-of-voice trends stay available from those records.

Start by using TRAIL Search to find the questions your customers would plausibly ask, then compare how your brand’s visibility and citations in AI answers differ across engines like ChatGPT, Perplexity, and Gemini. Next, you get a prioritized list of where crawlers get blocked, what to fix, and which topics have no content yet, and you fix the site. The content on that list can be created in TRAIL Studio. The two products can also be used separately.

TRAIL Search runs an MCP (Model Context Protocol) server that AI agents can call directly. Once you issue an API key from your workspace, your coding or work agents can read the competitive share-of-voice map, this week’s visibility report, and today’s next actions; paid tools (Naver search volume, SERP AI Overview demand, competitor overlay) are billed from the same credits as the web app. More and more, instead of a marketer watching a screen, an agent reads the measurements and proposes the next action, and agencies and developers can build measurement into their own workflows. Connection instructions and key issuance are in the app’s developer settings.

Not yet. Rather than making content more likely to be cited in generative search, our methodology deals with what to choose so that verified information actually reaches the answer, and we’re preparing to submit it as a full paper to an international peer-reviewed conference in information retrieval. Today the product measures visibility, citations, and share of voice, and issues structure- and evidence-based recommendations. Once the method is validated it becomes a candidate for the recommendation engine, but we don’t promise a date, and we won’t name the paper or the conference before it’s accepted.

Both of those tools also cover brand visibility inside AI answers: Ahrefs with Brand Radar and Semrush with AI Visibility, which their official pages describe as tracking brand mentions in AI answers. The difference is what you put in and what comes out. Those two tools have you register the prompts to track yourself, while TRAIL Search starts from your brand and site address and first extracts the Korean questions your customers would plausibly ask. It then logs which engine each question was asked of and when, with the time checked, as a run; shows the source URLs the answer cited; and gives you a prioritized list of what to fix so you can fix it and check again. Both products’ features can change, so please check their official pages for the latest.

You can create card news, blog posts, product detail pages, product photos, posters, banners, Shorts, and Reels. You can also make presentation slides, government grant documents, and live-commerce shopping videos with an AI host. Everything is generated from the brand standard you register, and you review and edit the result before exporting it. Work that is expensive to generate, like video, is billed from separate video credits.

Yes, from Shorts and Reels to shopping live and live-commerce videos with an AI host. Script, captions, and scene composition flow as one process. Video is expensive to generate, so it’s billed through separate video credit packs.

A brand standard is a set of eight items you define before creating content. It covers persona, positioning, purchase motivation, offer, message, channels, brand tone and expressions to avoid, and performance rules. Once you register it, every format you create afterward follows it. It lives inside TRAIL Studio and isn’t automatically shared with other products.

Yes, generated output is a draft, and you can edit it directly in the editor. You can revise at the level of sentences, images, slides, or scenes, re-render the same message to another channel’s specs, or make variants that change only the copy. Your edits carry through to the export, and unedited drafts never go out automatically.

Yes, you can publish content to your connected channels right away or schedule it for a time you choose. Blog posts go through scheduled publishing and channel integration, and connected social accounts publish automatically. We’re continuing to add supported channels.

Canva, Jasper, and Wrtn are single-purpose tools that make one piece of copy or one image. TRAIL Studio works differently: you register your brand standard first, create multiple formats from that standard, and reuse the assets you’ve made in the next job. You don’t have to rewrite the prompt from scratch every time, and it carries through to publishing the content to your channels.

The rights to content generated through the service belong to the member. The company holds a right to use the content for operating, improving, and promoting the service, but ownership of the output belongs to the member who created it. Responsibility for posting and using the generated content, however, rests with the member.

TRAIL Perform is the product for the question “Where should your ad budget go across channels?” It connects your ad and revenue data, estimates effect with MMM and experiments, compares budget allocations, and executes the allocation you approve. It keeps observed facts separate from estimated effects, and explains the assumptions and uncertainty behind each judgment. Pricing varies with scope, so we walk you through it in an introductory conversation.

GA4 and reporting tools measure and report. TRAIL Perform goes further, to the evidence behind “Where should your ad budget go across channels?” and on to execution. Connecting ad accounts and revenue data, running campaigns across multiple channels, estimating channel contribution with MMM (marketing mix modeling) and experiments, simulating budgets, and executing the approved allocation all sit in one flow. MMM is valid for customers with enough ad and revenue history, and we don’t promise results.

At minimum, ad spend and revenue history, plus a connected ad account. The longer the history, the narrower the estimate range. MMM is valid for brands with accumulated history; if the data is insufficient, we say so and hold off on estimating. Budget, execution, and data sharing are the customer’s decisions.

Yes, if we estimate that pausing beats spending more, that’s what we propose. A company that runs ads has a structural conflict of interest, since more ad spend works in its favor; we acknowledge that up front, which is why we hold to three principles: explain what we can and can’t know, disclose our assumptions, and consider cutting back. If the effect is likely to show up late, we set the observation period and decision criteria before spending.

Pricing differs by product, and each product is a separate subscription. TRAIL Studio and TRAIL Search both combine a monthly subscription with usage (credits). TRAIL Studio has plans from solo sellers up to agencies, and the Standard plan for D2C and SME brands is ₩99,000 a month. TRAIL Search has a Free plan plus Starter at ₩199,000 a month, Pro at ₩399,000, and Max at ₩899,000, and annual billing saves 17%. The turnkey operations service, where we take over setup and execution after the audit, has no published price because terms depend on scope; we settle the scope in a meeting with your contact first. TRAIL Perform pricing depends on how much you use, so we walk through it with you in an introductory conversation. You can compare included features and usage limits by product on the pricing page, and plans may be adjusted as we move through full launch.

You start with no card: 1 market, 10 tracked questions, and 10 credits (one time). A site audit costs 3 credits and question extraction 1 credit, so you can try a first audit and discover questions; to keep tracking, move up to TRAIL Search Starter.

Credits are granted each month based on your subscription plan, and they’re spent when you create new content or run additional audits. The credit cost is shown on screen before a task starts. Whether unused credits roll over depends on the plan, and once you run out you can buy an additional credit pack separately. Video in TRAIL Studio is expensive to generate, so it’s billed through separate video credit packs.

Credits for a failed task are refunded automatically. We also refund credits when a recent tracking result can be reused, as with brand GEO measurement. The credit cost is shown on screen before a task starts.

It depends on the product. For TRAIL Studio, use the “Start with Studio” button on the product page; for TRAIL Search, use the “Start for free” button on the product page or the pricing page, and you can sign up right away. If you’d rather hand off setup and execution, you can discuss the turnkey operations service in a meeting with your contact. You sign up for each product separately.

Yes, depending on the plan, several people can share it. Team and brand-operations plans support collaboration and bulk generation, and the agency plan lets you manage multiple workspaces and clients in one place.

Yes, both products let you run multiple brands separately. In TRAIL Search, Pro and above run multiple domains (3 on Pro, 10 on Max, additional domains at ₩28,000 a month), and if you have many brands or markets, or want us to handle operations with you, that’s configured on the Custom plan. In TRAIL Studio, the Agency plan uses multiple workspaces to keep each client’s brand standard and assets separate.

Paid subscriptions renew automatically, monthly or annually, and you can cancel any time before the renewal date. Payment details are handled by the card issuer and the payment processor; the company doesn’t store sensitive information such as card numbers. The full terms are in the terms of service.

You can withdraw from a paid service within 7 days of purchase or of the service becoming available. Withdrawal may be limited once credits have been used to generate content or delivery of digital content has begun. Refunds are issued within 3 business days of receiving the withdrawal request.

It depends on the product. TRAIL Search can start with your brand’s site address and a few questions your customers would plausibly ask; to see actual site traffic, you connect Google Analytics and Search Console. TRAIL Studio needs your brand’s voice and standards, plus the information and photos for the products you’ll create content about. TRAIL Perform needs ad spend and revenue history plus a connected ad account, and the longer the history, the narrower the estimate range.

If it’s not enough, we say so. TRAIL Search marks an engine that returned no valid answer as unmeasured and flags small samples as preliminary estimates; TRAIL Perform holds off on estimating when the ad and revenue history is short. Budget, publishing, and data sharing are the customer’s decisions, and data is stored separately for each product.

Member information is stored and managed in encrypted form, and we comply with the Personal Information Protection Act and other applicable laws. We don’t store sensitive payment details such as card numbers ourselves, and when a member closes their account, we retain the data for the period required by law and then destroy it. The details are in our privacy policy.

No, we don’t. Whether your brand appears in AI answers, and whether sales go up, depends on factors we don’t control. What we do instead is keep a record of what we measured, what we changed, and what was observed afterward. TRAIL Search commits to showing the questions you’re missing from and what to fix, in priority order; TRAIL Studio to output you can actually use; and TRAIL Perform to estimates along with their assumptions and uncertainty. We keep observed facts separate from estimated effects, and when the sample or observation period is too short, we withhold a conclusion.

Because a guarantee is a promise about something we don’t control. Rankings, citations, and sales are decided jointly by platform algorithms, competition, and market demand. What we control is what we changed; what we can verify is what was observed afterward. This isn’t to disparage other offers; it’s to avoid promising results without conditions or evidence. Each period, we record what we changed and what was observed, so you can decide from that record whether to continue.

TRAIL Labs is being built by its founder, Fred Kim. He has worked as an engineer and AI researcher, and started the company to solve the problems he ran into as CTO in marketing and ad-agency work. The founding story is on the about page.

At the stage where a researcher is building the product and the methodology together, one person forms and tests hypotheses fastest. Right now TRAIL Search and TRAIL Studio are both open for sign-up with payment processing in place, and we run both products and an MCP server around the clock on our own infrastructure. So that operations don’t hinge on one person, we keep architecture decision records, observability tooling, fallbacks and checkpoints, and deployment scripts; and the one-person stage isn’t permanent: after seed funding, hiring starts with growth and front-end.

We read it as: the trail of what you’ve done becomes the path forward. Letter by letter, we unpack it as Trust, Reason, Agility, Intelligence, and Leverage, though that’s an interpretation we added, not a record fixed when the name was chosen. The full breakdown is on the culture page.

We form a hypothesis, then change our judgment in the face of results. We’ve set down six core values (relevance, explainable decisions, honest measurement, willingness to revise, execution within reach, and accountability to the customer) and eight ways of working, and we treat one question as the test of those values: can we recommend cutting back or pausing even when more ad spend would benefit us? The full text is on the culture page.