Case Studies & Service Examples

Explore how technical SEO, content, external sources and brand knowledge management support SEO and GEO work across industries.

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This page includes 7 customer case studies and 13 illustrative service examples. The examples explain our approach; their scope, workloads and business metrics are hypothetical and do not represent achieved customer results.

Beauty and skin care · Service example

Clarify ingredients, application order and skin suitability to support informed purchases

A skin-care brand selling cleansing, moisturizing and daily-care products through its website and retail channels.

Figures in this service example illustrate measurement methods. They do not represent actual customer results.

Illustrative metric · Monthly AI-referred net sales

~US$9,000

Complete month of Sep 2026, up US$7,000 from Nov 2025. Includes identifiable AI-referred orders after cancellations and refunds.

Skin-care and daily-care products
Industry illustration; not a customer location or product.

GEO project scope

Target markets
SingaporeAustraliaNew Zealand

English

Service period
Dec 2025–Sep 2026
Reference observation window
About 3 weeks
Illustrative AI platforms and search experiences
ChatGPTGoogle Gemini
Monitoring scope
8 topics · 96 distinct prompts

Focused on unbranded research and purchase intent

Illustrative GEO monitoring metrics

Hypothetical comparison: before → after

AI visibility

13%28%

+15 percentage points

Share of monitored answers mentioning the target brand or a priority model

Brand website citation rate

5.6%15.4%

+9.8 percentage points

Share of monitored answers citing the brand website

Top-three recommendation rate

5.4%17.2%

+11.8 percentage points

Share of monitored answers placing the brand among the top three recommendations

Increase in monthly AI-referred net sales
+$7,000

Nov 2025 → Sep 2026, using complete months. Attribution changes do not establish causal incremental sales.

AI-referred share of net sales
4% → 15%

Up 11 percentage points, using total net sales from the same store and period as the denominator.

Illustrative shopping monitoring metrics

Share of answers placing priority SKUs in the top three
26% → 48%

Denominator: valid monitored answers returning a shopping module

Brand appearances per 100 shopping answers
11 → 27

Deduplicated by answer, excluding repeated mentions within the same answer

Semrush search traffic trend

View original screenshot
Original Semrush reference image from the case attachment. Business figures in this service example are hypothetical; AI leads, sales and profit cannot be inferred from this chart. (Original Chinese interface retained.)

Typical challenges

On-site · Technical SEO

Store navigation and collection pages need restructuring, with inconsistent management of legacy URLs, bundles and product variants.

On-site · Content coverage

Product pages lack ingredient, usage and purchase details. Prices, inventory and feeds are out of sync.

Off-site · Sources and consistency

Creators, ingredient information sites and retailers use different descriptions, with no systematic review of sentiment or competitor recommendations.

Brand knowledge management

Ingredient evidence, SKUs, suitability limits and approved wording are not maintained consistently across site migrations, feeds and social content.

Optimization approach

Build a clear shopping journey and product pages, then use feed consistency, sentiment and competitor changes to guide content and channel activity. Review AI-referred net sales, supported by channel share.

Illustrative service plan

These modules illustrate how a service plan can be assembled. Actual workloads and delivery schedules depend on the agreed project scope.

On-site · Site development and architecture migration

Rebuild skin-type selection and product architecture

Organize collection, ingredient, product and bundle pages. Map URLs and redirects, review canonical tags, indexing and internal links, and preserve purchase measurement through migration.

Illustrative workloadMonth 1: one store restructuring or migration plan; monthly plans for 10 pages

On-site · Content optimization

Improve ingredient and skin-care product pages

Complete ingredient, usage, limitation, size, evidence and support information. Create skin-type and routine comparisons linked to collection and purchase pages.

Illustrative workloadMonthly: 8 product or collection page updates and 12 buying guides

Product data · Feed optimization

Align bundle, variant and product availability data

Check SKU/GTIN, bundle contents, variants, images, prices, inventory, delivery and returns. Keep Merchant Center feeds consistent with page markup.

Illustrative workloadMonthly: 20 SKU or bundle checks and 2 feed reviews

Off-site · Sources and consistency

Check ingredient, retail and creator information

Provide approved ingredient, specification and usage information to correct verifiable factual errors while respecting independent opinions and experiences.

Illustrative workload20 priority sources; follow up on 6 updates or collaborations each month

Brand knowledge management

Maintain ingredient and product-claim evidence

Manage ingredients, evidence levels, suitability, precautions, approved wording and information versions for website and creator use.

Illustrative workloadMonth 1: one knowledge library; maintain 12 SKU information packs each month

Customer sentiment monitoring

Monitor skin-type, ingredient and service discussions

Review agreed ingredient sites, retail reviews and public Reddit, X and Facebook discussions. Separate experiences, factual errors and complaints, with responses reviewed by the client.

Illustrative workloadWeekly sentiment summary and monthly review of recurring questions and content gaps

Competitor monitoring

Compare competitor propositions and selection visibility

Monitor competitor appearances, recommendation reasons, ingredient descriptions and product data in target AI answers. Turn findings into page, content and source updates.

Illustrative workload4 competing brands and 10 priority SKUs; weekly competitor review

Reddit / X / Facebook

Publish skin-type and care-selection content

Adapt approved guides into brand posts and community answers. Explain suitability and usage limits in context, and collect questions to improve content.

Illustrative workloadMonthly: 12 original posts and 8 community responses

Project responsibilities
Dageno team
SEO/GEO diagnostics, technical and content planning, source development, outreach, weekly progress updates and monthly reviews.
Client and collaborators
Product specialists review wording, e-commerce teams maintain product information and collaborators independently decide whether to use supplied materials.
Delivery and channel records
Track planning, production, launch, media outreach and publication separately. Count original content separately from adaptations for other platforms.
Metric definitions and measurement

AI visibility, brand website citation rate and top-three recommendation rate use different definitions. Comparisons use the same agreed prompts, platforms and markets; these metrics do not represent user search volume or market share.

Repeat monitoring using the agreed markets, languages and sampling method. Record citations and recommendations separately for each platform.

Complete month of Sep 2026, up US$7,000 from Nov 2025. Includes identifiable AI-referred orders after cancellations and refunds.

AI-referred share of net sales

Calculation: net sales from identifiable AI-referred orders divided by total store net sales for the same period. Use consistent deduplication and refund rules before and after.

Monthly comparison on a consistent basisAI-referred net salesTotal store net salesShare
Before (Nov 2025)$2,000$50,0004%
After (Sep 2026)$9,000$60,00015%

Up 11 percentage points. Values are in USD. Net sales are after discounts and returns, excluding taxes and shipping. Join and deduplicate AI-referred orders by store order ID. Track Google Search, unidentified sources and assisted touchpoints separately; product-card appearances alone do not establish a sale.

Illustrative measurement sources: Dageno shopping answers, product reviews, GA4 and selected store orders. Compare complete months in Nov 2025 and Sep 2026.

Semrush search traffic trend

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