SEO & Search Engine Marketing

Chapter 8
Specialized and Platform SEO

Advance Diploma in Digital Marketing
SEO & Search Engine Marketing   •   Advance Diploma

Specialized and Platform SEO

Introduction

Search engine optimization is not a single technique applied uniformly across the web. Search systems interpret different content types, platforms, devices, geographic signals, languages, and commercial contexts in different ways. A local restaurant, an online marketplace seller, a video publisher, a news organisation, and a multinational software company therefore require different optimisation methods.

Specialized and platform SEO refers to the adaptation of technical, content, authority, measurement, and governance practices to particular search environments. The objective is not simply to obtain a higher position in a conventional web result. It is to make the correct entity, product, location, media asset, application, or language version discoverable, understandable, eligible, and useful within the relevant platform.

This chapter examines local SEO, e-commerce and marketplace SEO, video and image search, news SEO, app SEO, and multilingual and international SEO. It also explains product feeds, merchant listings, local profiles, reviews, hreflang, platform-specific optimisation, measurement, and ethical constraints.

Learning Objectives

By the end of this chapter, students should be able to:

  1. Explain why SEO methods differ across search platforms and content types.
  2. Design a local SEO programme involving profiles, citations, reviews, location pages, and measurement.
  3. Optimise e-commerce products through structured data, product feeds, merchant listings, and marketplace controls.
  4. Apply discoverability principles to video, images, news content, and mobile applications.
  5. Plan multilingual and international SEO using suitable URL structures, localisation, and hreflang.
  6. Evaluate platform-specific risks, data quality issues, privacy obligations, and ethical considerations.
  7. Select appropriate KPIs and diagnose performance using a search-to-conversion framework.

1. A Framework for Platform SEO

A useful way to analyse any specialised SEO problem is to examine five layers:

LayerCentral questionTypical evidence
EligibilityCan the asset appear on the platform?Indexability, policy compliance, feed approval
InterpretationCan the system understand it?Structured data, metadata, entity information
RelevanceDoes it satisfy the search intent?Content, product attributes, location, language
ExperienceIs it usable and trustworthy?Speed, accessibility, reviews, price accuracy
MeasurementCan performance be evaluated?Impressions, clicks, actions, revenue, calls

These layers are sequential but not strictly linear. A product with excellent content cannot perform in a merchant programme if its feed is rejected. A technically valid location page may still fail if the business profile is inaccurate. A translated page may not rank for users in another country if delivery, currency, legal information, and local intent are unclear.

Platform SEO also involves two kinds of optimisation. Owned optimisation concerns assets controlled by the organisation, such as a website, application, product catalogue, or video channel. Platform participation concerns data and behaviour within a third-party system, such as a business profile, marketplace listing, app store, or news publisher centre. The second category creates dependency: platform rules, review policies, ranking systems, and interfaces may change without the organisation controlling them.

2. Local SEO

Local SEO improves the visibility of organisations, services, and locations for geographically related searches. It is especially important for businesses whose customers visit a premises, receive service in a defined area, or require immediate local information. Examples include clinics, retailers, universities, hotels, tradespeople, restaurants, and professional services.

2.1 Local search intent and relevance

Local intent may be explicit, as in “dentist in Bristol,” or implicit, as in “nearby emergency dentist.” Search systems generally evaluate a combination of relevance, geographic relationship, prominence, and user context. Exact ranking mechanisms are proprietary and change over time; therefore, practitioners should not represent any single factor as a guaranteed ranking formula.

Local optimisation begins with an accurate description of:

  • the organisation and its primary category;
  • the physical address or legitimate service area;
  • opening hours, holiday hours, and contact details;
  • products or services offered;
  • accessibility, booking, parking, and payment information;
  • the geographic areas served.

A business should maintain one authoritative record for each eligible location and avoid creating duplicate or misleading profiles. Virtual offices, rented mailboxes, fake locations, and keyword-stuffed business names can create policy and trust problems.

2.2 Local profiles and location landing pages

A local profile on a major search or mapping service should be completed with consistent, verifiable information. Important fields include the official business name, category, address, telephone number, website, hours, attributes, services, products, photographs, and appointment links where supported.

The associated website should provide a useful location page rather than a thin page containing only a city name. A strong page may include:

  • the location’s exact address and contact information;
  • transport, parking, and accessibility guidance;
  • locally relevant services and stock information;
  • staff or practitioner information where appropriate;
  • unique photographs and genuine local evidence;
  • service-area boundaries where the business travels to customers;
  • clear booking, enquiry, or directions actions.

For multiple branches, each location should have a stable, crawlable URL. Location pages should not copy identical text with only city names changed. The content should reflect real differences between branches.

2.3 Reviews as information and reputation signals

Reviews influence customer confidence and may contribute indirectly to local visibility through prominence, engagement, and brand choice. Their principal business value, however, is informational: they help potential customers evaluate quality, service, and fit.

A responsible review programme should:

  1. request feedback from genuine customers at an appropriate time;
  2. make the process accessible and transparent;
  3. respond professionally to positive and negative feedback;
  4. identify recurring operational problems;
  5. never purchase fabricated reviews or suppress legitimate criticism;
  6. protect personal information when responding publicly.

A response should not reveal a customer’s medical, financial, or other sensitive information. Incentivised reviews must comply with applicable consumer-protection and platform rules. Structured review markup should represent reviews that are visible on the relevant page and should not be used to manufacture stars.

2.4 Local citations and consistency

A citation is a mention of a business’s name, address, telephone number, or related identity on another website. Structured directories, chambers of commerce, professional registers, suppliers, local media, and credible community organisations can provide useful corroboration. Quantity alone is not a sound objective. Low-quality directories, automated submissions, and inconsistent records can create noise.

Organisations should maintain a location data governance process covering ownership, approval, updates, duplicate removal, and closure or relocation. Changes to holiday opening times, services, addresses, and telephone numbers should be synchronised promptly.

2.5 Local SEO measurement

Local measurement should extend beyond website sessions. Useful indicators include profile views, discovery queries, website actions, direction requests, calls, bookings, store visits where reliably measured, review volume and sentiment, and revenue associated with local campaigns. Attribution is imperfect: a person may discover a business in a map result, return directly, and purchase offline. Consequently, dashboards should distinguish observed platform actions from estimated business outcomes.

3. E-commerce and Marketplace SEO

E-commerce SEO connects search demand with product discovery, evaluation, and purchase. It operates across a website, search results, shopping surfaces, marketplaces, social commerce systems, and product comparison services.

3.1 Product information architecture

A technically sound catalogue normally contains category pages, product detail pages, supporting guides, and internal links that reflect the product hierarchy. Faceted navigation creates a major challenge. Filters can generate thousands of URL combinations, many of which have little unique value. A retailer should decide which combinations deserve indexable landing pages and control the remainder through appropriate crawling and indexing signals.

Product pages should provide original, decision-useful information, including:

  • product name, brand, model, and identifiers;
  • price, currency, availability, and delivery information;
  • specifications, dimensions, materials, compatibility, and use cases;
  • high-quality images and, where useful, video;
  • returns, warranty, payment, and fulfilment terms;
  • genuine customer reviews and questions;
  • clear variants without confusing duplicate URLs.

A product page should not remain indexable as if available when the item is permanently discontinued. Temporary out-of-stock products may remain useful if a restock is expected and alternatives are offered. Permanent discontinuation requires a deliberate redirect, replacement page, or informative retirement page based on user value and product relationships.

3.2 Structured data and product entities

Structured data communicates machine-readable facts about products, offers, reviews, organisations, and other entities. It does not guarantee rich results, but it can improve interpretation and eligibility when the markup accurately reflects visible content and follows platform guidelines.

Product information commonly includes a product identifier, brand, offer price, currency, availability, condition, shipping information, and return policy. Markup should be generated from the same governed catalogue used by the website and feed. Divergence between page content, structured data, and feed data can produce warnings, disapprovals, or loss of trust.

3.3 Product feeds and merchant listings

A product feed is a structured dataset supplied to a commerce or advertising platform. Typical fields include:

Field groupExamplesQuality requirement
IdentityID, title, brand, GTIN or other identifierStable and correctly mapped
OfferPrice, currency, availability, conditionMatches the landing page
FulfilmentShipping, delivery regions, returnsCurrent and legally accurate
MediaImage links, additional imagesClear, accessible, representative
ClassificationProduct type, category, gender, size, colourConsistent taxonomy
DestinationProduct URL, mobile URLCrawlable and functional

A feed should be treated as a data product, not as a one-time upload. Validation should identify missing identifiers, invalid prices, broken image URLs, disallowed products, stock mismatches, and expired promotions. Feed quality is partly an operational issue: inventory, pricing, logistics, legal, and merchandising teams must coordinate.

Merchant listings may appear in unpaid or paid commerce surfaces depending on the platform and programme. Eligibility is separate from performance. Approval means that an item satisfies minimum requirements; it does not guarantee prominent placement.

3.4 Marketplace SEO

Marketplaces control the page template, taxonomy, reviews, fulfilment rules, and often the ranking system. Sellers therefore optimise within constraints. They should use the marketplace’s official category, complete attributes, concise but informative titles, accurate variation relationships, searchable descriptions, compliant images, and reliable fulfilment.

Marketplace ranking often reflects a combination of relevance, sales history, conversion, availability, price competitiveness, fulfilment performance, customer satisfaction, and advertising participation. Because these systems differ, practitioners should test changes through controlled reporting rather than copying assumptions from web search.

4. Video and Image SEO

4.1 Video SEO

Video discoverability depends on the video platform, search engine, hosting arrangement, and page context. Effective practice includes:

  • a descriptive, non-misleading title;
  • a detailed description with important context;
  • accurate captions and, where appropriate, transcripts;
  • chapters or timestamps for long videos;
  • a clear thumbnail that represents the content;
  • a stable, embeddable video page;
  • structured data when the page contains a visible video;
  • appropriate publication and modification information;
  • fast, accessible playback and mobile usability.

A transcript is valuable for accessibility, comprehension, and content discovery, but automatically generated captions require review. Video should not be hidden behind an interaction that prevents users or search systems from discovering its existence. The page should answer the user’s purpose even if the video fails to load.

Success should be measured by qualified views, completion or retention, assisted conversions, subscriptions, leads, and user satisfaction—not merely raw view count.

4.2 Image SEO

Image optimisation includes descriptive filenames, meaningful alternative text, suitable formats, responsive sizing, compression, stable URLs, and relevant surrounding text. Alternative text is primarily an accessibility mechanism: it should describe the image’s meaning or function, not insert a list of keywords. Decorative images may require empty alternative text so assistive technology can ignore them.

Product images should show the actual item, use sufficient resolution, and comply with commerce requirements. Editorial images require accurate captions, credits, licensing, and rights management. Image sitemaps can support discovery of important assets, but they cannot compensate for blocked resources, poor page context, or copyright violations.

5. News SEO

News SEO serves publishers whose content is time-sensitive, authoritative, and frequently updated. Search visibility depends on editorial quality, originality, transparency, technical accessibility, and clear identification of the publisher and authors.

A news organisation should establish:

  • clear headlines that accurately represent the story;
  • visible publication and update dates;
  • author and editorial information;
  • correction and contact policies;
  • source attribution and evidence;
  • structured article information where supported;
  • an accessible archive and logical topical organisation;
  • fast mobile delivery and secure connections.

Changing a publication date without substantial editorial change can mislead users. Sensational headlines, copied reporting, manipulated images, and unverified claims may produce short-term attention but damage trust and violate professional standards. News sitemaps and publisher tools can aid discovery, yet inclusion or submission does not guarantee ranking.

6. App SEO and App-Store Optimisation

App SEO has two connected dimensions: discoverability of app content in web search and optimisation within an app store. App-store factors may include title, short and long descriptions, category, developer identity, icon, screenshots, preview video, ratings, reviews, downloads, retention, and policy compliance.

The app listing should communicate the user problem solved, supported devices, major features, pricing model, permissions, and limitations. Screenshots should demonstrate genuine workflows rather than merely display promotional slogans. Ratings should be analysed as product feedback, not manipulated as a ranking tactic.

Where supported, deep links can route users from a search result or marketing message to a relevant screen inside the application. A robust deep-link strategy should also provide a useful web fallback when the app is not installed. Teams must test deferred deep links, authentication states, device differences, and broken or retired content.

App privacy disclosures, consent mechanisms, permission requests, child-safety requirements, accessibility, and data deletion processes are central to sustainable app visibility. An app that acquires installs through misleading claims may experience poor retention, negative reviews, and regulatory exposure.

7. Multilingual and International SEO

Multilingual SEO addresses different languages; international SEO addresses different countries, regions, legal environments, currencies, and user expectations. They overlap but are not identical. One country may use several languages, and the same language may serve several countries with different products, spelling, prices, and regulations.

7.1 International architecture

Common URL approaches include:

StructureExampleStrengthRisk
Country-code domainexample.frStrong geographic identityMore domains to manage
Subdomainfr.example.comSeparate technical spaceWeaker shared governance in some contexts
Subdirectoryexample.com/fr/Centralised managementRequires careful regional signalling
Parametersexample.com?lang=frEasy to implementWeak user and crawler clarity

No structure is universally best. The choice should reflect governance, technology, legal requirements, brand strategy, and the degree of country-specific content. Automatic IP redirection is often problematic because it can prevent users and crawlers from accessing alternative versions. A language or country selector should use crawlable links.

7.2 Localisation beyond translation

Literal translation may produce unnatural language and incorrect commercial meaning. Localisation considers search vocabulary, spelling, units, currency, tax presentation, payment methods, delivery promises, return rights, cultural references, legal notices, customer support, and imagery. Keyword research should be performed in the target language by people who understand local usage.

7.3 Hreflang

The hreflang annotation helps indicate the relationship between equivalent language or regional URLs. For example, an English international page and French page may reference one another using language-region codes. Correct implementation requires:

  • valid language and optional region codes;
  • reciprocal references between equivalent pages;
  • a self-reference where appropriate;
  • consistent URL access and indexability;
  • an x-default version when a general selector or fallback page is appropriate;
  • identical or equivalent content intent across alternatives.

Hreflang is a signal, not a substitute for translation, canonicalisation, or quality content. It does not redirect users, and it does not force a search engine to show a selected version in every circumstance. Common errors include missing return links, incorrect country codes, links to redirected or blocked URLs, and annotating pages that are not genuine equivalents.

8. A Practical Operating Model

Specialised SEO is most effective when integrated with content, product, engineering, merchandising, customer service, legal, and analytics teams. A practical workflow is:

  1. Define the search surface. Identify whether the objective concerns maps, web results, products, a marketplace, videos, images, news, an app store, or several surfaces.
  2. Audit eligibility. Check policies, indexability, feed status, account ownership, crawl access, and technical requirements.
  3. Create a governed data model. Establish authoritative fields for products, locations, languages, prices, stock, authors, and media rights.
  4. Map intent and entities. Connect queries to products, services, locations, stories, videos, or app functions.
  5. Implement content and technical signals. Use appropriate URLs, metadata, structured data, feeds, internal links, and accessibility practices.
  6. Validate before publishing. Test rendering, links, markup, translations, price consistency, structured data, and platform policy compliance.
  7. Measure outcomes. Separate visibility, engagement, qualified actions, revenue, retention, and customer value.
  8. Learn and govern. Record platform changes, run experiments, resolve errors, and assign accountable owners.

A useful diagnostic model is the search-to-value chain:

Search to value chain from eligibility to business outcome EligibilityCan appear?InterpretationCan be understood?RelevanceMatches intent?ExperienceCan users act?ValueBusiness result Specialized SEO diagnostic chainA failure at an earlier stage can restrict the value of later optimisation.
Search to value chain from eligibility to business outcome
Figure: Search to value chain from eligibility to business outcome

Figure: A diagnostic chain for evaluating specialised search performance.

9. Illustrative Case: Northstar Outdoor Retail

Background. Northstar Outdoor Retail operates 18 physical stores, an e-commerce website, and a marketplace account. It sells hiking equipment in three countries. Organic traffic was stable, but product visibility, store visits, and international sales were below management expectations.

Problem. The company used separate spreadsheets for inventory, product feeds, and store information. Prices in the merchant feed sometimes differed from landing pages. Several location profiles had outdated hours. The French website was a direct translation of the English site, with limited local delivery and returns information. Product pages contained incomplete identifiers and duplicated descriptions.

Analysis. An audit divided the problem into platform surfaces. The local audit found inconsistent opening times and weak location pages. The commerce audit found feed disapprovals, missing attributes, and stock mismatches. The international audit found incomplete reciprocal hreflang annotations and unclear currency and delivery terms. Analytics also counted impressions but did not connect them reliably to product margin or store actions.

Approach. Northstar established a central product and location data model. The feed was generated from approved catalogue and inventory data, with automated checks for price, availability, identifiers, image access, and landing-page status. Each store received an owner, a stable location URL, updated hours, original photographs, accessibility details, and a review-response process. Product pages were rewritten around customer use cases and compatibility rather than copied supplier descriptions. The French site was reviewed by native-speaking merchandising staff, and regional delivery, tax, warranty, and returns information was added. Hreflang references were rebuilt as reciprocal relationships and tested after deployment.

Outcome. Over the following reporting period, feed errors declined, store-profile information became more reliable, and product-result coverage improved. The company observed increased qualified product visits and more consistent local actions. Management did not attribute every sale to SEO; instead, it compared platform actions, assisted conversions, margin, and offline reports. The most important improvement was governance: teams could identify which system owned each field and who was responsible for correction.

Learning points. First, specialised SEO is often a data-quality and operating-model problem rather than a copywriting problem. Second, eligibility and accuracy must precede promotion. Third, international expansion requires commercial localisation, not translation alone. Finally, measurement should connect search exposure to meaningful customer and business outcomes while acknowledging attribution limits.

10. Challenges, Ethics, and Governance

Platform SEO creates several risks. Data may be inaccurate, reviews may be manipulated, images may infringe copyright, and automated translation may produce unsafe or offensive language. Location targeting may expose sensitive information. Personalisation and app tracking may require consent and transparent privacy notices. Product feeds can accidentally display incorrect prices or unavailable goods, creating consumer-protection concerns.

Organisations should maintain documented ownership, approval workflows, change logs, access controls, and escalation procedures. AI can assist with feed anomaly detection, image labelling, transcription, translation drafts, and review theme analysis, but human review remains necessary for factual accuracy, bias, accessibility, legal claims, and cultural appropriateness. AI-generated content should not be used to fabricate reviews, create false local experiences, imitate journalists, or mass-produce low-value pages.

Platform-specific optimisation should never become an excuse to deceive users. Sustainable visibility depends on accurate information, accessible experiences, legitimate reputation, and compliance with search, consumer, privacy, copyright, and advertising requirements.

Contemporary Developments and Best Practices

Search is increasingly distributed across conventional engines, maps, marketplaces, social video, app stores, answer interfaces, and generative systems. Organisations should therefore publish clear, authoritative, machine-readable facts while preserving useful human-facing content. Product and location entities should have stable identifiers. Content should be easy to verify, update, cite, and correct.

Recommended best practices are to:

  • treat product, location, language, and media information as governed data;
  • optimise for user tasks rather than isolated keywords;
  • maintain consistency across pages, feeds, profiles, and applications;
  • test structured data and feeds continuously;
  • design for accessibility and mobile use;
  • localise commercial and legal information, not only prose;
  • use reviews as service intelligence, not merely as ranking assets;
  • report qualified outcomes and margin, not vanity metrics alone;
  • document platform dependencies and contingency plans;
  • review automated and AI-assisted outputs before publication.

Chapter Summary

Specialized and platform SEO adapts search practice to the distinctive requirements of local profiles, e-commerce catalogues, marketplaces, video, images, news, apps, and international websites. A five-layer framework—eligibility, interpretation, relevance, experience, and measurement—helps diagnose problems across platforms.

Local SEO depends on accurate profiles, useful location pages, consistent data, genuine reviews, and meaningful local measurement. E-commerce SEO requires strong product architecture, trustworthy structured data, accurate feeds, merchant listings, and marketplace-specific optimisation. Video and image SEO combine metadata, accessibility, technical delivery, context, and rights management. News SEO requires editorial transparency and original, reliable reporting. App SEO covers app-store listings, deep links, retention, privacy, and accessibility.

International SEO requires deliberate architecture, genuine localisation, regional commercial information, and correctly implemented hreflang relationships. Across all areas, governance is essential because data errors, policy violations, fabricated reviews, privacy failures, and misleading content can damage both visibility and trust. AI can support operational work, but accountable human review remains necessary.

Key Terms

Local SEO: Optimisation for geographically relevant searches and local customer actions.

Local profile: A business record managed on a search or mapping platform.

Citation: An online mention of a business’s identity or contact information.

Review: Customer-generated evaluation of a product, service, or organisation.

Structured data: Machine-readable information embedded in a webpage.

Product feed: A structured catalogue dataset submitted to a commerce platform.

Merchant listing: A product presentation in a commerce search surface.

Marketplace SEO: Optimisation within a third-party selling platform.

Faceted navigation: Filtering and classification controls that can create multiple URLs.

Video SEO: Optimisation of video content, pages, metadata, and playback experience.

Alternative text: Text that communicates the purpose or meaning of an image.

News SEO: Optimisation for discovery of timely editorial content.

App-store optimisation: Improvement of an application’s visibility and conversion in an app store.

Deep link: A link that opens a specific location inside an application or relevant fallback page.

International SEO: Optimisation for users in different countries or regions.

Localisation: Adaptation of content, products, and experiences to a target market.

Hreflang: An annotation indicating equivalent language or regional versions of a page.

x-default: A fallback hreflang designation for users without a specific language or region version.

Entity: A distinct identifiable person, organisation, product, place, or concept.

Data governance: Policies, ownership, controls, and processes for maintaining reliable data.

Review Questions

Short Answer Questions

  1. What are the five layers in the platform SEO diagnostic framework?
  2. Why should local businesses maintain useful, unique location pages?
  3. Name four important categories of product-feed fields.
  4. What is the primary accessibility purpose of alternative text?
  5. Why is hreflang not a substitute for translation and localisation?

Long Answer Questions

  1. Explain how a business should design and manage a local SEO programme involving profiles, citations, reviews, and measurement.
  2. Discuss the relationship between product pages, structured data, product feeds, and merchant listings.
  3. Compare video SEO, image SEO, and news SEO in terms of content quality, technical requirements, and ethical risks.
  4. Explain how app-store optimisation and deep linking contribute to app discoverability and user experience.
  5. Evaluate the strategic and operational considerations involved in selecting an international URL structure.

Analytical / Application Questions

  1. An online retailer has many feed disapprovals caused by price and stock differences between its website and commerce platform. Diagnose the likely governance problem and propose a validation workflow.
  2. A hotel group has accurate business profiles but poor visibility for non-English searches. Design an international and local SEO plan that addresses localisation, regional pages, reviews, and hreflang.
  3. A publisher wants to use generative AI to create hundreds of local news pages and synthetic reviews. Evaluate the proposal from search-quality, ethical, legal, and reputational perspectives.

Multiple Choice Questions with Answers

Question 1

Which issue is most directly associated with local SEO governance?

A. Inconsistent opening hours across business profiles

B. Low video completion rate

C. Missing app permissions

D. Incorrect image compression

Correct Answer: A. Inconsistent opening hours across business profiles

Question 2

What is the primary purpose of a product feed?

A. To provide structured catalogue information to a commerce platform

B. To replace all product-page content

C. To generate customer reviews automatically

D. To prevent users from comparing prices

Correct Answer: A. To provide structured catalogue information to a commerce platform

Question 3

Which practice best supports trustworthy review management?

A. Buying positive reviews in bulk

B. Suppressing all negative feedback

C. Requesting genuine feedback and responding professionally

D. Publishing reviews without customer consent

Correct Answer: C. Requesting genuine feedback and responding professionally

Question 4

What should alternative text primarily communicate?

A. A long list of target keywords

B. The meaning or function of the image

C. The file size in kilobytes

D. The image’s ranking position

Correct Answer: B. The meaning or function of the image

Question 5

Which statement about hreflang is correct?

A. It automatically translates a webpage

B. It guarantees a page will rank first

C. It indicates relationships between language or regional alternatives

D. It replaces canonicalisation in every case

Correct Answer: C. It indicates relationships between language or regional alternatives

Question 6

Which factor is especially important in marketplace SEO?

A. Ignoring the marketplace taxonomy

B. Accurate attributes and reliable fulfilment

C. Using identical titles for every product

D. Removing all product identifiers

Correct Answer: B. Accurate attributes and reliable fulfilment

Question 7

Why are transcripts useful for video content?

A. They support accessibility and provide textual context

B. They guarantee viral distribution

C. They eliminate the need for a relevant video

D. They prevent all copyright claims

Correct Answer: A. They support accessibility and provide textual context

Question 8

Which is an appropriate app SEO practice?

A. Using misleading screenshots to increase installs

B. Providing relevant deep links with a useful web fallback

C. Requesting unnecessary permissions without explanation

D. Fabricating app-store ratings

Correct Answer: B. Providing relevant deep links with a useful web fallback

Question 9

What is a major risk of automatic IP redirection on international websites?

A. It may prevent users and crawlers from accessing alternative versions

B. It guarantees correct localisation

C. It improves every regional ranking

D. It removes the need for language selectors

Correct Answer: A. It may prevent users and crawlers from accessing alternative versions

Question 10

A feed contains 800 products, and 12.5% are rejected. How many products remain approved, assuming every product is either approved or rejected?

A. 100

B. 600

C. 700

D. 750

Correct Answer: D. 750

SEO & Search Engine Marketing
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