How to verify service case studies when choosing an AI search optimization company?

When searching for “ai 검색 최적화 업체 추천해줘” (Recommend an AI search optimization company), procurement professionals can often quickly find a list of service providers and screenshots of case studies. The real challenge is not finding a supplier, but determining whether these cases are genuine, whether the results came from the services being purchased, and whether they are relevant to their own industry and target market. Asking a few more questions before signing often costs less than arguing about results afterward.

First, confirm that the cases are comparable to your purchasing needs

Even if a case study shows impressive figures, it may not be suitable as a direct basis for supplier selection. AI search optimization typically involves multiple aspects, including website content, technical structure, brand information, and external materials. A multilingual website targeting the Korean market may have different user queries and conversion paths from an industrial product inquiry website targeting North America.

Ask the service provider to explain the client’s industry, target region, language, website type, and baseline situation before the project began. If the client in a case study already had strong brand recognition and a substantial body of established content, its results cannot simply be applied to a new website. If confidentiality is a concern, the client’s name can be anonymized, but the service scope, execution period, and supporting evidence should not all be left vague.

Also clarify the service provider’s role: did they handle the overall implementation of website development, content production, and GEO optimization, or did they only provide consulting advice? A project completed jointly by multiple teams can serve as a useful reference, but should not be presented as the sole achievement of one supplier.

Work backward from result screenshots and verify three layers of evidence

Procurement verification does not require requesting all underlying materials from the outset. Start by selecting two case studies that closely match your needs, then ask questions in the order of “client and authorization, implementation process, and performance records.” How clearly the supplier can explain each step is often more meaningful than the number of screenshots they present.

Client background: Can the case be verified to an appropriate extent?

Ask the supplier to explain the client’s industry, the period of cooperation, the services provided, and whether authorization was obtained to present the case. Where possible, request access to a publicly available project page or an authorized client testimonial, or ask to speak with the client. Being unable to disclose a client’s identity does not necessarily mean a case is false. However, if the supplier cannot explain the project background, provide examples of deliverables, or describe how the case can be verified, the procurement team should give it less weight.

Distinguish between “website design templates” and “completed client projects.” For example, Paper, Packaging, Environmental Protection presents an approach to digital pages for related industries: organizing company information through images of industrial and ecological settings, solution showcases, icons representing technical commitments, and online appointment forms. It can help assess whether the page design reflects industry needs, but the page’s appearance alone does not prove that a particular client gained visibility in AI search or received more inquiries.

Implementation process: What work was actually done?

Ask the supplier for a project timeline and examples of verifiable deliverables, such as website information architecture, records of changes to key pages, multilingual content inventories, technical audit reports, and periodic review documents. The supplier should be able to explain why those pages were selected, how product specifications and company credentials were handled, and who reviewed the content.

If the scope also includes website development, Google SEO, advertising, or social media, ask for each area of work to be separated. Short-term visits generated by advertising should not be counted directly as results of AI search optimization. Changes in organic traffic after a website redesign should also be analyzed alongside other marketing activities.

Performance records: Can the results be checked again?

A screenshot of an AI response only proves that a particular result appeared under specific conditions. The procurement team should ask the supplier to record the query, language, target region, platform used, test date, and results page. Where possible, retest under conditions agreed by both parties and keep records of multiple tests. AI responses may vary over time, by region, and according to how a question is phrased, so neither a single appearance nor a single absence should be treated as consistent performance.

During evaluation, observe separately whether the brand is mentioned, whether it is cited as a source, whether the cited page is accurate, and how users behave when they visit the website. Inquiries and orders are also affected by factors such as product competitiveness, page experience, and sales follow-up. It is not possible to conclude that all growth came from GEO based on timing alone.

Consider total cost as well as the scope of deliverables

A quote from an AI search optimization company may include diagnostics, content production, website technical adjustments, monitoring, and reporting, or it may cover only some of these items. After receiving a quote, compare proposals using the same checklist to avoid ongoing add-on charges to a low-cost plan.

• Implementation scope: Which countries, languages, pages, and AI search platforms are covered? Are technical modifications to the existing website included?
• Deliverable volume and responsibilities: Who writes, translates, and reviews the content? What product information and credentials must the company provide?
• Additional costs: Are multilingual expansion, page development, advertising budgets, third-party tools, and ongoing maintenance charged separately?
• Ownership of assets: Who owns the website accounts, domain, data, content, and source files? How will these be transferred if the engagement ends?
• Acceptance and payment: Agree on deliverables and payment milestones for stages such as diagnostics, implementation, and review. Specify the testing conditions and observation period for performance metrics.

Be especially wary of promises such as “guaranteed ongoing recommendations on all AI platforms” or “guaranteed doubling of inquiries within a fixed period.” A reasonable service contract should specify the work the supplier can control and how it will be accepted, rather than treating platform outputs as results the supplier can fully control.

Turn recommendations into questions that can be answered during a meeting

If your company is comparing full-service providers, ask them to explain on the spot: Which pages on the current website are suitable as sources for AI citations? How will product specifications remain consistent across multilingual pages? How will SEO content, advertising landing pages, and inquiry forms work together? When product information is updated, who is responsible for making corresponding changes? These questions can help procurement professionals assess whether the supplier understands the entire journey from content visibility to business inquiries.

For example, Yiyingbao provides services related to intelligent website development, multilingual websites, SEO, and GEO. During procurement, you should still assess the specific project, ask the provider to clarify which tasks will be handled by its own team and which require the client’s cooperation, and compare suppliers based on authorized case studies and actual deliverables rather than deciding solely on the breadth of services offered.

Ultimately, the companies worth shortlisting are not necessarily those with the most eye-catching screenshots, but those that can clearly explain case backgrounds, implementation records, testing conditions, and cost boundaries. First use a small, clearly defined scope of work with verifiable deliverables to evaluate how the two parties work together, then decide whether to increase investment. This makes procurement decisions more robust.