Technical SEO · State-Owned Enterprise
Institutional · Multi-Stakeholder
SOE Digital Discovery
Institutional Gravity Demands Search Precision. SOE search programs that serve citizens, satisfy regulators, and earn the trust of institutional investors.
Sector SOE
Audience Multi-Stakeholder
Image: Pexels
State-Owned Enterprise SEO
Regional SEO for state-owned enterprises.
Authority built for the institutional standard.
State-owned enterprises carry a dual mandate that no private-sector SEO framework adequately addresses. They must be discoverable by citizens seeking services, by investors evaluating governance, and by regulators monitoring compliance - all through the same domain, at the same time.
YPYM's SOE methodology begins with a dual-audience intent analysis: separating citizen-service queries from institutional, B2B, and investor search demand, then designing content architecture that serves both without dilution or conflict.
Regional landing pages are engineered with structured data and localized schema to capture map-pack and knowledge-panel placements for each operating territory. The governance layer includes automated content freshness monitoring and compliance-aligned review workflows.
Brand Discovery · Channel Attribution
Where do people discover new brands, products, and services?
Percentage of internet users who discover via each channel or medium, by age group.
Age 16 to 24
Social Media Ads 34.2%
Search Engines 28.9%
TV Ads 28.2%
Word of Mouth 26%
TV Shows and Films 24.9%
Social Media Comments 23.9%
Ads in Mobile Apps 23.7%
Ads on Websites 23%
Brand Websites 22.7%
Retail Websites 20.7%
Age 25 to 34
Social Media Ads 32.1%
Search Engines 31.4%
TV Ads 28.5%
Word of Mouth 26.2%
TV Shows and Films 25.2%
Social Media Comments 24.8%
Brand Websites 24.5%
Ads on Websites 22.7%
Ads in Mobile Apps 22.6%
Consumer Review Sites 22.1%
Age 35 to 44
Search Engines 32.7%
Social Media Ads 31.3%
TV Ads 30.6%
Word of Mouth 28.1%
Brand Websites 25.7%
Social Media Comments 24.3%
TV Shows and Films 24.3%
Consumer Review Sites 23.3%
Retail Websites 23.3%
Ads on Websites 23.2%
Age 45 to 54
Search Engines 35.9%
TV Ads 34.3%
Word of Mouth 31.6%
Social Media Ads 29.4%
Brand Websites 25.5%
TV Shows and Films 25.4%
Ads on Websites 23.5%
Consumer Review Sites 23.2%
Retail Websites 23.2%
Social Media Comments 22.2%
Age 55 to 64
Search Engines 37.7%
TV Ads 37.3%
Word of Mouth 34.1%
Social Media Ads 26%
TV Shows and Films 25.3%
Brand Websites 25%
Retail Websites 23.9%
Consumer Review Sites 23.7%
In-Store Promos 22.6%
Ads on Websites 22.2%
Age 65+
TV Ads 47.9%
Word of Mouth 41.7%
Search Engines 38.1%
Retail Websites 28.3%
In-Store Promos 25.6%
TV Shows and Films 25.5%
Print Press Ads 23.3%
Emails or Physical Mail 22.7%
Brand Websites 22%
Product Brochures 20.9%
Social Media Ads 34.2%
Search Engines 28.9%
TV Ads 28.2%
Word of Mouth 26%
TV Shows and Films 24.9%
Social Media Comments 23.9%
Ads in Mobile Apps 23.7%
Ads on Websites 23%
Brand Websites 22.7%
Retail Websites 20.7%
Social Media Ads 32.1%
Search Engines 31.4%
TV Ads 28.5%
Word of Mouth 26.2%
TV Shows and Films 25.2%
Social Media Comments 24.8%
Brand Websites 24.5%
Ads on Websites 22.7%
Ads in Mobile Apps 22.6%
Consumer Review Sites 22.1%
Search Engines 32.7%
Social Media Ads 31.3%
TV Ads 30.6%
Word of Mouth 28.1%
Brand Websites 25.7%
Social Media Comments 24.3%
TV Shows and Films 24.3%
Consumer Review Sites 23.3%
Retail Websites 23.3%
Ads on Websites 23.2%
Search Engines 35.9%
TV Ads 34.3%
Word of Mouth 31.6%
Social Media Ads 29.4%
Brand Websites 25.5%
TV Shows and Films 25.4%
Ads on Websites 23.5%
Consumer Review Sites 23.2%
Retail Websites 23.2%
Social Media Comments 22.2%
Search Engines 37.7%
TV Ads 37.3%
Word of Mouth 34.1%
Social Media Ads 26%
TV Shows and Films 25.3%
Brand Websites 25%
Retail Websites 23.9%
Consumer Review Sites 23.7%
In-Store Promos 22.6%
Ads on Websites 22.2%
TV Ads 47.9%
Word of Mouth 41.7%
Search Engines 38.1%
Retail Websites 28.3%
In-Store Promos 25.6%
TV Shows and Films 25.5%
Print Press Ads 23.3%
Emails or Physical Mail 22.7%
Brand Websites 22%
Product Brochures 20.9%
Unique Visitors · Google.com
Unique visitors to Google.com.
Three-month average of unique monthly global visitors to Google.com.
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2025
Overview Insights
Search engines remain the single most effective channel for brand discovery globally, with 32.9% of internet users aged 16 and above citing search as their primary route to discovering new brands, products, and services - ahead of television advertising at 31.8% and social media ads at 30.4%. This structural advantage means that for any company investing in organic search visibility, the addressable discovery audience is larger than any other single acquisition channel. When overlaid with the fact that Google.com receives over 3 billion unique monthly visitors and maintains a weekly traffic volume exceeding 15 billion visits, the scale of the search ecosystem as a discovery and conversion platform is unmatched by any competing medium.
The online brand research data reinforces this position further. When consumers actively research a brand, product, or service before making a purchase decision, search engines are again the dominant channel, used by a larger share of the global online population than social media, review platforms, or brand-owned websites. The implication for businesses operating in any competitive sector is clear: the companies that control organic search position control the research layer that sits between intent and transaction. A weak presence at this stage means losing qualified buyers to competitors who have invested in technical search infrastructure and topical authority.
Media consumption patterns add critical context. Over 91% of internet users consume online video content weekly, 88% engage with social media, and 81% consume online press - yet it is the search layer that connects all of these consumption behaviours to commercial outcomes. Users discover brands via search, research them via search, and return to search at every decision point in the purchase journey. The data from these five charts collectively demonstrates that search engine visibility is not a marketing channel - it is the infrastructure layer upon which all other digital channels depend for attribution, authority, and conversion.
SOE digital discovery & trust framework
We start with a dual-audience intent analysis - separating citizen-service queries from investor, regulatory, and B2B search demand - so that content architecture serves both without dilution. Regional landing pages are engineered with structured data and localized schema to capture map-pack and knowledge-panel placements for each operating territory. Ongoing governance includes automated content freshness monitoring and compliance-aligned review workflows, ensuring that every published page reflects current operational reality.
FAQ Guide
Frequently asked questions
For state-owned enterprises and their digital governance teams.
Six question groups covering the institutional context, audience architecture, regional presence, content governance, and AI-era considerations that SOE leadership raises when scoping a search program.
Consultant
Rochman Ma'arif
Available · Google Meet
I. Why Standard SEO Frameworks Fall Short for SOEs
Commercial SEO is designed to move a single audience toward a transaction. SOEs operate under constraints and stakeholder obligations that make this model structurally insufficient from the first day of implementation.
01 What makes search strategy for a state-owned enterprise fundamentally different from commercial SEO?
Three dimensions separate SOE search programs from commercial ones. First, the audience mandate is plural and non-negotiable: an SOE must be discoverable by citizens seeking services, by investors evaluating governance disclosures, by procurement partners navigating tender processes, and by regulators or journalists monitoring compliance. These audiences search with entirely different intent and evaluate entirely different content signals. A commercial SEO program optimises a funnel toward a single conversion event. An SOE program must serve simultaneous, sometimes conflicting, informational obligations.
Second, domain authority for an SOE is partially derived from institutional recognition rather than link acquisition. Government-adjacent and state-enterprise entities carry intrinsic E-E-A-T signals that most commercial sites cannot manufacture, but those signals only benefit search performance if the technical and content architecture is built to surface them correctly.
Third, content governance constraints are not optional variables. Every claim on an SOE website may be subject to regulatory review, parliamentary inquiry, or media scrutiny. The editorial process must be built into the SEO workflow from the start, not treated as a separate compliance overhead.
Second, domain authority for an SOE is partially derived from institutional recognition rather than link acquisition. Government-adjacent and state-enterprise entities carry intrinsic E-E-A-T signals that most commercial sites cannot manufacture, but those signals only benefit search performance if the technical and content architecture is built to surface them correctly.
Third, content governance constraints are not optional variables. Every claim on an SOE website may be subject to regulatory review, parliamentary inquiry, or media scrutiny. The editorial process must be built into the SEO workflow from the start, not treated as a separate compliance overhead.
02 Can an SOE apply the same SEO approach it uses for its private-sector subsidiaries?
Not without significant adaptation, and the failure mode is predictable. Private-sector subsidiary SEO typically optimises for commercial search intent: product discovery, pricing comparisons, service bookings, and brand awareness. Those are valid objectives for a subsidiary's domain. But when the same framework is applied to the parent SOE's main domain, it produces content that ranks for the wrong queries, attracts audiences the institution cannot serve commercially, and misrepresents the nature of the organization to search engines trying to classify it.
The parent SOE domain needs a distinct architecture that separates citizen-service content, investor and governance disclosures, corporate communications, and operational information by both URL structure and audience intent. Subsidiary SEO programs can be more commercially focused, but they should sit on their own domains or clearly delineated subdomains rather than diluting the institutional signal of the parent entity.
The parent SOE domain needs a distinct architecture that separates citizen-service content, investor and governance disclosures, corporate communications, and operational information by both URL structure and audience intent. Subsidiary SEO programs can be more commercially focused, but they should sit on their own domains or clearly delineated subdomains rather than diluting the institutional signal of the parent entity.
II. Multi-Audience Search Architecture for Institutional Brands
SOEs do not have a single user persona. The architecture must anticipate and serve distinct audiences without creating content conflicts, keyword cannibalization, or mixed intent signals.
03 How does YPYM separate citizen-facing search intent from institutional or investor search intent on the same domain?
The separation begins with a dual-pass keyword and intent audit. In the first pass, we identify queries that represent citizen demand: service accessibility questions, eligibility criteria, contact information, complaints processes, and regional branch locations. In the second pass, we identify institutional queries: governance reports, ESG disclosures, board composition, tender announcements, financial performance, and regulatory filings.
These two query sets are then mapped to distinct URL structures and content templates. Citizen-facing content lives in a service-oriented section with clear task-completion architecture, optimised for featured snippets and map results. Institutional content lives in a separate section structured to satisfy YMYL quality signals and optimised for indexation by financial and regulatory search operators. Both sections are accessible from the same root domain but are architecturally isolated to prevent intent mixing.
These two query sets are then mapped to distinct URL structures and content templates. Citizen-facing content lives in a service-oriented section with clear task-completion architecture, optimised for featured snippets and map results. Institutional content lives in a separate section structured to satisfy YMYL quality signals and optimised for indexation by financial and regulatory search operators. Both sections are accessible from the same root domain but are architecturally isolated to prevent intent mixing.
04 What happens when citizen-service content and investor or regulatory content target overlapping keywords?
Overlap occurs most frequently on brand-name + service queries, where both a citizen looking for services and an investor researching the company might use the same query. The resolution depends on which audience is larger and which conversion action the organization prioritizes for that specific query.
In most cases, citizen-facing content takes ranking priority for these hybrid queries because search volume is higher and the public-service mandate requires that citizens can find service information without friction. Investor-facing content is typically better served through structured deep-link architecture that ranks well for longer, more specific queries used by institutional audiences. We map these conflicts explicitly during the architecture phase and assign a canonical intent owner to each contested keyword cluster before any content is produced.
In most cases, citizen-facing content takes ranking priority for these hybrid queries because search volume is higher and the public-service mandate requires that citizens can find service information without friction. Investor-facing content is typically better served through structured deep-link architecture that ranks well for longer, more specific queries used by institutional audiences. We map these conflicts explicitly during the architecture phase and assign a canonical intent owner to each contested keyword cluster before any content is produced.
05 How should an SOE structure its content when it operates across multiple sectors under a single parent brand?
Multi-sector SOEs face a topical authority dilution problem. When a single domain publishes content about oil and gas operations, financial services, infrastructure, and telecommunications simultaneously, search engines struggle to assign a clear topical identity. This reduces ranking authority across all sectors compared to what a focused domain would achieve.
The structural solution is a hub-and-spoke content architecture. The parent domain establishes topical authority for each sector through dedicated pillar pages and structured category sections, with clear internal linking hierarchies that signal to search engines which pages are the authoritative sources within each topic cluster. Sector subsidiaries with their own domains should establish cross-linking relationships with the parent through legitimately earned editorial links rather than footer or navigation links, which carry lower authority signal.
The structural solution is a hub-and-spoke content architecture. The parent domain establishes topical authority for each sector through dedicated pillar pages and structured category sections, with clear internal linking hierarchies that signal to search engines which pages are the authoritative sources within each topic cluster. Sector subsidiaries with their own domains should establish cross-linking relationships with the parent through legitimately earned editorial links rather than footer or navigation links, which carry lower authority signal.
06 How granular does regional landing page coverage need to be for an SOE with national operations?
Granularity should map to where search demand actually exists, not to where operational offices happen to be located. YPYM begins with a geographic keyword demand analysis that reveals which provinces, cities, and districts generate active search volume for the SOE's services. Landing pages are then commissioned at the resolution where demand is documentably present, not simply because an office exists there.
For most Indonesian national SOEs, this means province-level pages as the primary tier, with city-level pages for the roughly 15 to 20 urban centers that generate concentrated search volume. Sub-city coverage is built where a specific service, such as a branch address or a service center, has high local search demand that cannot be served adequately by a provincial parent page. The alternative, creating location pages for every operational unit regardless of search demand, produces a large volume of thin pages that dilutes crawl budget and may trigger quality signals.
For most Indonesian national SOEs, this means province-level pages as the primary tier, with city-level pages for the roughly 15 to 20 urban centers that generate concentrated search volume. Sub-city coverage is built where a specific service, such as a branch address or a service center, has high local search demand that cannot be served adequately by a provincial parent page. The alternative, creating location pages for every operational unit regardless of search demand, produces a large volume of thin pages that dilutes crawl budget and may trigger quality signals.
III. Regional Presence, Schema, and Local Visibility for SOE Branches
The technical execution layer that determines whether regional search demand translates into actual visibility for SOE locations and service access points.
07 What structured data schema matters most for establishing SOE visibility in local and regional search results?
For citizen-facing services and branch locations, the most impactful schema types are LocalBusiness or its subtypes (GovernmentOffice, FinancialService, UtilityProvider depending on the SOE's sector), combined with GeoCoordinates for each branch and OpeningHoursSpecification for operating hours. These directly feed the map-pack and knowledge panel placements that answer the citizen's most common query type: "where is the nearest [SOE name] branch and is it open."
For institutional content, Organization schema with complete sameAs references to authoritative external sources, including official registry identifiers, financial regulatory profiles, and verified Wikipedia or Wikidata entities, strengthens the knowledge graph signal that drives knowledge panel generation for the organization. FAQPage schema on high-traffic service pages improves featured snippet capture for the question-format queries that citizens commonly submit.
For institutional content, Organization schema with complete sameAs references to authoritative external sources, including official registry identifiers, financial regulatory profiles, and verified Wikipedia or Wikidata entities, strengthens the knowledge graph signal that drives knowledge panel generation for the organization. FAQPage schema on high-traffic service pages improves featured snippet capture for the question-format queries that citizens commonly submit.
08 How does YPYM manage Google Business Profile and the entity graph for an SOE with many operating locations?
At scale, Google Business Profile management is a data governance problem before it is an SEO problem. Inconsistent information across dozens or hundreds of branch listings, conflicting phone numbers, outdated operating hours, or incorrect service categories, produces rank suppression and user trust damage that no amount of content optimisation can compensate for.
YPYM builds a single source of truth for branch-level data and implements a structured audit and update process for all GBP listings. We also work on the entity graph layer: ensuring that the parent organization's Knowledge Graph entry is accurate, that subsidiary and branch entities are correctly connected to the parent, and that the Profile attributes align with what the organization's own website declares through structured data. Consistently accurate data across GBP, schema, and third-party citations is what sustains strong knowledge panel quality over time.
YPYM builds a single source of truth for branch-level data and implements a structured audit and update process for all GBP listings. We also work on the entity graph layer: ensuring that the parent organization's Knowledge Graph entry is accurate, that subsidiary and branch entities are correctly connected to the parent, and that the Profile attributes align with what the organization's own website declares through structured data. Consistently accurate data across GBP, schema, and third-party citations is what sustains strong knowledge panel quality over time.
09 Why does a regional landing page strategy matter for service access, not just for search ranking?
For SOEs with a public-service mandate, ranking in regional search results is not a growth channel in the commercial sense; it is the fulfillment of an obligation. A citizen in Makassar searching for their local SOE branch, a farmer in East Java looking for agricultural financing, or a business in Medan navigating an energy procurement process has a legitimate need that the institution is obligated to meet through organic search visibility.
When the SOE's website fails to rank for these regional queries, citizens either do not find the service or find it through informal third-party sources that may carry inaccurate information. Regional landing pages built with correct localized information, proper schema, and genuine content differentiation between operating territories are the mechanism that closes this gap. The ranking outcome and the service access outcome are the same output.
When the SOE's website fails to rank for these regional queries, citizens either do not find the service or find it through informal third-party sources that may carry inaccurate information. Regional landing pages built with correct localized information, proper schema, and genuine content differentiation between operating territories are the mechanism that closes this gap. The ranking outcome and the service access outcome are the same output.
IV. Editorial Governance and Compliance in the Content Workflow
Publishing at scale under institutional accountability constraints requires governance to be embedded in the SEO workflow, not appended to it as a final check.
10 How does YPYM design a content governance workflow for an SOE with multiple internal approval layers?
The governance design starts with classifying content by risk tier. Citizen-service pages that describe operational procedures carry higher review obligations than blog posts or news summaries. Structured data and schema changes that affect how the organization appears in search results carry different review requirements than body copy edits. Investor disclosure pages are subject to the strictest review and typically require sign-off from both communications and legal.
Once content is classified by tier, we design approval workflows that match the required review intensity to the content type, rather than running all content through the same bottleneck. This prevents low-risk operational updates from being blocked by the same queue as high-stakes governance disclosures. The result is a system where content freshness, which directly affects search ranking, is maintained for the majority of pages while compliance review resources are concentrated on what actually requires them.
Once content is classified by tier, we design approval workflows that match the required review intensity to the content type, rather than running all content through the same bottleneck. This prevents low-risk operational updates from being blocked by the same queue as high-stakes governance disclosures. The result is a system where content freshness, which directly affects search ranking, is maintained for the majority of pages while compliance review resources are concentrated on what actually requires them.
11 How are time-sensitive updates, such as emergency service changes or regulatory announcements, handled when normal review cycles are too slow?
Expedited update processes must be designed in advance, not improvised during a crisis. YPYM works with SOE communications and digital teams to establish a defined emergency content protocol: who has authority to publish without the full review cycle, which page types are covered, and what the post-publication review obligation is.
On the technical side, we recommend that time-sensitive content types, such as service interruption notices, tender deadline extensions, or emergency contact updates, live in structured components that can be updated independently of the main page content. This allows factual data to be corrected quickly by an authorized editor without triggering a full compliance review for the surrounding evergreen content that was not changed. Separating mutable data fields from stable page content is a CMS architecture decision with significant governance efficiency implications.
On the technical side, we recommend that time-sensitive content types, such as service interruption notices, tender deadline extensions, or emergency contact updates, live in structured components that can be updated independently of the main page content. This allows factual data to be corrected quickly by an authorized editor without triggering a full compliance review for the surrounding evergreen content that was not changed. Separating mutable data fields from stable page content is a CMS architecture decision with significant governance efficiency implications.
V. Generative Search and How AI Systems Process Institutional Authority
Institutional entities are among the most heavily represented in AI-mediated search results. Understanding how generative systems handle SOE content determines whether this is an advantage or a liability.
12 How do AI Overviews and generative models handle SOE content differently from commercial content?
Generative systems apply stricter accuracy and source standards to institutional content than to commercial content, because inaccurate representations of a government or state entity carry higher consequence. An AI Overview that incorrectly describes an SOE's services or financial status is a more serious failure than one that misattributes a product feature to a commercial brand.
The practical implication is that SOE websites that provide well-structured, authoritative, semantically clear information are more likely to be cited as the canonical source in AI-generated answers. But the opposite condition, where the SOE's own website is less organized or less authoritative than third-party coverage of the same institution, creates a situation where AI systems source their answers from media, financial data providers, or other external entities rather than from the institution itself. This means the SOE loses narrative control over how it is described in AI-mediated search, which is a reputational and governance issue, not just an SEO issue.
The practical implication is that SOE websites that provide well-structured, authoritative, semantically clear information are more likely to be cited as the canonical source in AI-generated answers. But the opposite condition, where the SOE's own website is less organized or less authoritative than third-party coverage of the same institution, creates a situation where AI systems source their answers from media, financial data providers, or other external entities rather than from the institution itself. This means the SOE loses narrative control over how it is described in AI-mediated search, which is a reputational and governance issue, not just an SEO issue.
13 What does entity optimisation mean for a state-owned enterprise, and why is it more consequential here than in commercial SEO?
Entity optimisation is the process of ensuring that Google's Knowledge Graph accurately represents the organization: its full legal name, sector classification, official domain, affiliated entities, leadership, founding history, regulatory status, and sameAs references to authoritative external data sources. When these signals are consistent and complete, the Knowledge Graph entry becomes the foundation for knowledge panel generation, AI citation accuracy, and the domain's overall E-E-A-T signal.
This matters more for SOEs than for commercial entities because the Knowledge Graph entry for a state enterprise is the primary source that generative AI systems draw on when composing answers about that institution. The public's understanding of what the enterprise does, how to access its services, who leads it, and what its current operational status is will increasingly be shaped by AI-generated answers. The entity layer determines whether those answers are accurate and sourced from the institution's own authoritative disclosures or from less reliable second-hand interpretations.
This matters more for SOEs than for commercial entities because the Knowledge Graph entry for a state enterprise is the primary source that generative AI systems draw on when composing answers about that institution. The public's understanding of what the enterprise does, how to access its services, who leads it, and what its current operational status is will increasingly be shaped by AI-generated answers. The entity layer determines whether those answers are accurate and sourced from the institution's own authoritative disclosures or from less reliable second-hand interpretations.
14 Can an SOE use its statutory reports, operational data, and public interest content to build a competitive AI citation position?
Yes, and this is one of the few genuine structural advantages an SOE holds over private-sector competitors in the emerging generative search landscape. Annual reports, sustainability disclosures, operational statistics, and public interest analyses that an SOE is obligated to produce represent a body of authoritative, first-party institutional knowledge that no private entity can simply manufacture.
The condition is that these documents must be published in a form that AI and search systems can crawl, parse, and attribute. PDFs locked behind navigation layers, reports published without structured annotations, or data presented only in images are effectively invisible to AI citation systems. YPYM's approach is to restructure the SOE's institutional knowledge assets into web-native content forms, with proper semantic markup, stable URLs, and consistent entity attribution, so that the institution's primary sources consistently outperform secondary commentary in AI-generated answers about the organization.
The condition is that these documents must be published in a form that AI and search systems can crawl, parse, and attribute. PDFs locked behind navigation layers, reports published without structured annotations, or data presented only in images are effectively invisible to AI citation systems. YPYM's approach is to restructure the SOE's institutional knowledge assets into web-native content forms, with proper semantic markup, stable URLs, and consistent entity attribution, so that the institution's primary sources consistently outperform secondary commentary in AI-generated answers about the organization.
VI. About YPYM
Who is behind this framework, what drives the work, and how to start a conversation.
15 Who is YPYM?
YPYM is a Technical-Oriented SEO company built specifically for organizations that treat search visibility as a structural business asset, not a marketing line item. Our practice is grounded in site architecture, crawl systems, structured data, and content engineering, disciplines that require genuine technical depth rather than surface-level optimisation.
We work with mid-size companies, regional enterprises, government institutions, and multinational operations across Southeast Asia and beyond. Learn more about who we are and the principles behind the practice at /company/about-us.
We work with mid-size companies, regional enterprises, government institutions, and multinational operations across Southeast Asia and beyond. Learn more about who we are and the principles behind the practice at /company/about-us.
16 Who is the SEO expert behind YPYM?
The practice is led by Rochman Ma'arif, a technical SEO practitioner with hands-on experience across complex B2B and multi-sector organic search programs. His work spans site architecture design, crawl optimisation, structured data implementation, and content engineering for organizations operating in competitive Indonesian and international markets.
Full background, professional history, and the principles that shape our methodology are available at /company/about-us.
Full background, professional history, and the principles that shape our methodology are available at /company/about-us.
17 How do we get in touch with YPYM?
Three channels are available depending on your preference:
Email, For detailed briefs, RFPs, or asynchronous questions: [email protected]
WhatsApp, For faster back-and-forth discussions: +62 818 0671 0862
Schedule a Call, Book a direct session via Google Calendar: calendar.app.google
Email, For detailed briefs, RFPs, or asynchronous questions: [email protected]
WhatsApp, For faster back-and-forth discussions: +62 818 0671 0862
Schedule a Call, Book a direct session via Google Calendar: calendar.app.google