A Local Information Service That Checks Sources in AI Search

Sources have moved into the answer

On October 15, 2026, Google said it would attach source links to more sentences and words in AI answers, and place important links near the beginning of an answer. The change lets people reach the original page while reading, without opening a separate list of links.

Google is also testing a format that shows one or two official websites at the top of answers to questions that require them for an accurate task. This is not a system that gives every website an official verification badge, and Google has not separately disclosed which questions or launch timing will apply in Korea.

Korean-language AI Overviews launched on December 5, 2024, and AI Mode, which supports longer follow-up questions, began supporting Korean on September 8, 2025. A local academy or institution can already become the subject of an AI answer when someone searches in full sentences, such as “Does a middle-school English academy in Bundang (분당) run a shuttle?” or “How do I apply for youth support funding in Seongnam (성남)?”

Since August 2026, Google has also provided reports in its site-management tools that show the pages and countries appearing in AI search. But the reports do not show every question or the exact sentence beside which a link appeared, so teams also need to record the live search results.

More links do not automatically mean more visits. The Pew Research Center analyzed 68,879 searches by 900 US adults. In searches with an AI summary, 8% led to a click on a standard link, compared with 15% when no summary appeared; 1% led to a click on a source link inside the summary. This was a US study, but it means that, across 100 searches, a source link in the answer was clicked about once.

Looking at one English academy in Bundang

Assume the owner of a 12-person English academy in Bundang. Tuition, class placement, makeup-class rules, shuttle routes, and school-break schedules are scattered across the website, map services, blog posts, and documents used by consultation staff. When schedules change, the same information is copied to several places, yet one or two locations still retain last term’s details.

Parents search for “the class for a second-year middle-school student,” “the last shuttle from Jeongja-dong (정자동),” or “whether a missed class can be made up.” If an AI answer relies on an old blog post or review, the academy name may appear while the condition the parent needs is wrong.

The first service to build here is a question-by-question answer review inbox. An academy registers, for example, 30 real questions it receives. The service regularly records whether an AI answer appears for each question, which sites it links to, and whether it matches the official website.

Every Monday, the owner sees only a list divided into “normal,” “no official link,” and “content differs.” If the answer about makeup-class rules cites a blog from the previous term, the owner creates an official page with the current rule or updates the existing notice, then checks again.

The service can also attach whether the official page actually appeared in Google’s site-management report. Viewing search-result records and official visibility data together helps the academy fix the questions where information is missing, rather than merely checking whether its name was mentioned.

People still need to confirm tuition and refund rules, and approve changes to shuttle routes. Each search-result record should include login status, location, device, and search date and time. The service should provide dated records and evidence for comparison, not present itself as a system that decides the one correct answer.

If this service fails, the most likely reason is that it promised, “Use our tool and you will appear at the top of the answer.” Google says no special markup or separate file is required to appear in AI answers, and it does not guarantee source selection. The product should therefore sell less time spent with incorrect information circulating and faster discovery of gaps in official guidance, not ranking guarantees.

Outside Korea, teams manage questions and sources together

Chegg, which saw the traffic decline first

US company Chegg provides students with textbook explanations and assignment help for about KRW 20,000 per month. Its model turned free search visits into paid subscriptions. The company said non-subscriber traffic fell 37% year over year in October 2024 and 49% in January 2025, naming Google AI answers as a major cause.

This is the company’s own claim, so it cannot establish that AI search caused all of the decline. It does clearly show one failure condition: appearing in source links alone does not protect a visit-based business.

OtterlyAI, which began with 64 questions

US company OtterlyAI helps marketing teams and agencies track brands and sources across several AI answers, including Google AI Overviews. Its public pricing starts at about KRW 40,000 per month. NOLA Marketing chose 64 questions that could arise during a customer’s purchase process for one client, then recorded daily brand mentions in answers, linked URLs, and competitor visibility.

According to the provider, brand mentions rose from 30 to 160 and source connections from 665 to 3,617 over three months. It also reported a 30% increase in inquiries, but several activities were underway at the same time, so the effect of this tool alone needs verification.

Lee Enterprises, which expanded through official content production

US local-news network Lee Enterprises runs a paid service through which local small businesses publish two articles each month. Rather than selling AI search monitoring alone, it starts by helping local businesses consistently create official articles that can serve as source material.

According to Perplexity’s own case study, article-drafting time fell from three days to three minutes. It now produces more than 7,000 articles a month and has 3,500 paying customers. This shows that a service can pair checking with the actual work of creating official information.

Four things to build from this

1. A neighborhood academy answer review inbox

• What it does: Repeatedly checks common questions and records AI answers, linked sources, and differences from official guidance by date.
• Who uses it: The owner of an English or math academy with around 10 staff, where questions about shuttle routes and term-based tuition are frequent.
• Why now: As source links inside answer text increase, it matters less to know a simple search ranking than to know which page is connected to which question.
• First screen: For each question, show the current answer, whether an official link exists, the last check date, and the sentence that needs fixing.

2. A gap checker for public support-program guidance

• What it does: Reads a public notice, finds missing information about eligibility, amount, application period, exclusion conditions, and contact details, then creates citizen-facing question and answer drafts.
• Who uses it: A staff member at a contracted organization responsible for explaining city or county youth-support or small-business-support programmes.
• Why now: Even when an official site is highlighted near the top of an answer, an old news article or another institution’s page may be used instead if key conditions are missing from the official page.
• First screen: Enter a notice URL and see items grouped as “answerable,” “missing conditions,” and “date conflict.”

3. An official-information consistency alert for multiple locations

• What it does: Finds differences in clinic hours, parking, booking methods, and closing days between headquarters and branch information on map services and websites.
• Who uses it: A headquarters employee managing 20 health-checkup-center or dental-clinic branches where operating hours and booking methods differ by location.
• Why now: Even if AI links to an official site, conflicting headquarters and branch pages can make incorrect guidance more visible.
• First screen: Place each branch’s newest information beside the pages that conflict with it, then assign a person responsible for the correction.

4. A record from AI discovery to consultation

• What it does: Records AI-answer visibility, official-page visits, phone inquiries, and consultation bookings in one flow to identify the questions that actually help.
• Who uses it: A four-person tax-accounting office that handles inheritance and transfer consultations and asks new clients where they came from.
• Why now: Many people do not click even when a source is shown, so judging value by mention counts alone can easily fail.
• First screen: Next to each question’s visibility record, show the number of calls and bookings marked “saw it in AI search.”

Why this matters where you are

You can check whether local businesses or public-information providers in your market have official pages for the questions people actually ask. The AI products, source-selection rules, and public-information systems may differ from those described here. But you can still record live answers, compare them with official guidance, and fix missing or outdated information before treating AI mentions as a growth metric.

What to check today

Choose one nearby academy or clinic. Search in Korean for 10 questions a customer might ask, then spend 30 minutes saving screenshots of AI answers and their sources. If three or more answers lack an official link or conflict with outdated information, it may be worth testing an “official information review” service rather than a ranking-guarantee service.