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.

Industrial products and MRO distributor · Service example

Connect product selection with qualified procurement inquiries

An established distributor of automation components, instruments, and maintenance, repair and operations (MRO) supplies across multiple brands, serving business buyers and replacement-parts needs.

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

Illustrative metric · AI-assisted open sales pipeline

~US$110,000

Unweighted potential contract value across 16 open opportunities with recorded AI touchpoints. These are open opportunities, not closed-won sales or profit.

Industrial product distribution and warehouse operations — Industry illustration; not a customer location or product.

GEO project scope

Target markets: United StatesGermany
Service period: Oct 2025–Sep 2026
Reference observation window: About 5 weeks
Illustrative AI platforms and search experiences: ChatGPTPerplexityGoogle Gemini
Monitoring scope: 8 topics · 96 distinct prompts

Illustrative GEO monitoring metrics

Hypothetical comparison: before → after

AI visibility

4%19%

+15 percentage points

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

Brand website citation rate

1.4%10.2%

+8.8 percentage points

Share of monitored answers citing the brand website

Top-three recommendation rate

0.8%10.4%

+9.6 percentage points

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

Qualified AI-referred procurement inquiries per month

28 → 96

Deduplicated inquiries with a company identity, part number or procurement requirements

Semrush search traffic trend

View original screenshot

Industrial products and MRO distributor: original Semrush traffic screenshot — Original Semrush reference image from the case attachment. The service example's business figures are hypothetical and cannot be inferred from this chart. The reference chart shows organic traffic in the hundreds of thousands, with a recovery after June. The illustrative service period is Oct 2025–Sep 2026; October and November show subsequent observation. (Original Chinese interface retained.)

Typical challenges

On-site · Technical SEO

Multiple brands, models and filter combinations create duplicate URLs. Pagination, canonicalization, crawling and priority SKU indexing need coordinated management.

On-site · Content coverage

Traffic is concentrated on brand and model queries, with limited coverage of substitutes, compatibility, procurement, applications and maintenance.

Off-site · Sources and consistency

Supplier catalogs, dealers and trade media describe models, market availability and service capabilities inconsistently.

Brand knowledge management

SKU attributes, substitution relationships and regional delivery information are fragmented across suppliers and versions.

Optimization approach

For an established distributor, prioritize catalog indexing, model and substitute selection content, and supplier data consistency. Connect identifiable AI referrals with inquiries and CRM opportunities.

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 · Technical SEO

Manage catalog architecture and indexing at scale

Audit filters, pagination, canonical tags, sitemaps and crawl logs. Prioritize indexing and internal links for available SKUs, brand pages, model pages and categories.

Illustrative workloadMonth 1: one catalog SEO audit; monthly: 2 template or rule reviews and 40 priority URL checks

On-site · Content optimization

Address substitute-product and business procurement intent

Build comparisons and selection content around models, attributes, application conditions and procurement stages. Connect compatibility, availability and inquiry information with product detail pages.

Illustrative workloadMonthly: 12 procurement guides and 20 priority brand, category or product page updates

Off-site · Sources and consistency

Align supplier, brand and trade directory information

Check brand, supplier and industry information cited by target AI platforms. Maintain authorization scope, models and service markets, recording factual updates and external adoption.

Illustrative workload30 priority suppliers or sources; follow up on 10 updates each month

Brand knowledge management

Maintain SKU, substitution and delivery facts

Consolidate supplier attributes, models, compatibility evidence, availability, lead times and warranty terms. Record sources and revision dates for important changes.

Illustrative workloadMonth 1: one data-field and review standard; sample-check 100 priority SKUs or substitution relationships each month

PR and trade media

Develop procurement and supply-chain outreach

Prepare verifiable application, supplier partnership and procurement service information for industrial, automation and purchasing media.

Illustrative workload25–40 media targets; 2 topic or outreach packs per month, with publication tracked separately

LinkedIn / YouTube

Publish procurement and technical selection content

Create model comparisons, spare-parts guidance and operating-condition posts for procurement and maintenance teams. Produce technical videos from approved client materials.

Illustrative workloadMonthly: 8 LinkedIn posts and 2 technical selection videos

Project responsibilities

Dageno team: SEO/GEO diagnostics, technical and content planning, source development, outreach, weekly progress updates and monthly reviews.
Client and collaborators: Product teams provide supplier and SKU data; engineers review compatibility; procurement and sales maintain inventory, lead times, quotes and CRM stages.
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.

Unweighted potential contract value across 16 open opportunities with recorded AI touchpoints. These are open opportunities, not closed-won sales or profit.

Illustrative measurement sources: Dageno monitoring, business procurement inquiries and CRM. US$110,000 is the unweighted value of 16 open opportunities, not closed-won sales.

Industrial power supplies and electronic components · Service example