How Generative AI is Revolutionizing Your SEO Game: Explore Now

Discover how generative AI is transforming SEO. Enhance your strategy with advanced AI tools like Trustana, PIM, and DAM for top-notch results
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In every evolving marketplace, thousands of new products are launched each month. This competitive landscape makes it challenging for products to stand out! After all, it’s not just about creating a superior product but also about ensuring it reaches the right audience.

This is where Generative AI steps in! The framework is transforming the traditional SEO landscape, helping businesses thrive and survive. With the use of generative AI, businesses can accurately optimize their content so the right people see it. 

In this guide, we discuss generative AI and how it is changing search engine optimization for e-commerce.

Understanding Generative AI in SEO

Generative AI is a type of technology associated with artificial intelligence that can assist in generating new content, insights, or data based on patterns and information it has learned from existing data. 

These AI models are trained on vast datasets. This allows them to understand and replicate complex human-like text patterns. The ability to understand the human way of writing enables them to create SEO-optimized content that is relevant, engaging, and resonates with the latest search engine trends. 

With generative AI for SEO, you can expect the tool to:

  • Predict what type of content will perform well in search rankings
  • Suggest modifications to existing content
  • Identify new SEO opportunities that humans might overlook

Examples of Generative AI Applications in SEO

Generative AI is changing SEO strategies that we have been using since 1997. By leveraging AI's powerful data-processing and learning capabilities, businesses can achieve a competitive edge in search engine rankings. 

Below, let’s explore how businesses can use the impactful capacity of generative AI to optimize their visibility. 

  1. Optimize Keyword Research

 Generative AI tools analyze extensive datasets, including search queries, user behavior, and competitor information, to discover helpful keywords. 

However, these tools don’t just suggest a list of keywords generated through third-party software. Instead, they offer strategic insight into keyword relevance, competition levels, and potential traffic.

For businesses struggling to gain visibility due to traffic, this means discovering underutilized keywords that could provide a niche advantage. The AI keyword optimization allows them to capitalize on these trends quickly and gain a competitive edge over other businesses. 

  1. Improved Content Creation

Over time, AI-generated content has become increasingly sophisticated. Thanks to advances in natural language processing, the content is more or less indistinguishable from human-written text. 

With the help of AI, businesses can create complete articles, blog posts, product descriptions, and even technical content. Based on the input, the content is rich with relevant keywords and tailored to the semantic preferences of search engines. 

With this innovative capability, AI-based content is optimized for the SEO and the readers, optimally balancing keywords with natural sentence flow and readability. 

  1. Content Personalization

Each business and product has a different audience persona. With the help of AI, they can customize the content as per their unique audience segment. 

Personalization includes adjusting the tone and style of the content based on the user’s preference and previous behaviors. This personalization improves user engagement and increases the brand's connection with the audience. 

  1. Predictive Content Performance

Another standout feature of generative AI-driven SEO analysis is its ability to predict the performance of different content types before they even go live. With the help of this oversight, marketers can refine their content strategies, focusing on producing material that is more likely to succeed with the audience and search engine algorithms. 

Ultimately, this predictive analysis ensures that each piece of content contributes positively to the brand’s SEO goals and audience engagement metrics.

If you want to leverage the power of generative AI for SEO, check out Trustana and its advanced AI capabilities. Learn more about Trustana's AI capabilities today and elevate your content strategy to achieve optimal results.

Key Benefits of Generative AI for SEO

The generative AI market is experiencing immense growth. It is projected to reach $4.3 billion by 2027 with a CAGR of 96.7%. 

This rapid expansion highlights its transformative impact across various sectors, including SEO, where it influences productivity, content quality, and operational efficiency. 

Here's a detailed look at the key benefits of leveraging generative AI in SEO:

Enhance Content Quality with AI

Generative AI improves content relevance and engagement. By analyzing extensive data on user behavior and existing content performance, AI can create highly tailored content that aligns with SEO best practices and resonates deeply with the target audience. 

Statistics indicate that 67% of businesses observe an improvement in content quality when using AI. This indicates the AI’s ability to fine-tune content to meet specific user needs and preferences.

Speed Up SEO Processes with AI

AI tools streamline SEO tasks such as keyword research and metadata optimization, boosting productivity by an estimated 24.69%

These tools use predictive analytics to predict the most effective keywords and generate precisely optimized metadata for search engines. This ultimately helps in speeding up the SEO workflow and allowing businesses to focus on other strategic areas.

Automate Content Scaling with AI

Generative AI enables businesses to automate and scale their content production efforts. This automation supports consistent content output, crucial for maintaining SEO relevance and engaging audiences over time. 

Furthermore, the scalability afforded by AI allows organizations to expand their digital footprint rapidly. This helps cater to global audiences with personalized content that meets local preferences and trends.

Case Study: E-commerce Giant Streamlines Customer Support

One notable example of generative AI at work involves a leading e-commerce company that included a conversational AI system in its customer support operations. The AI was trained on vast datasets of product information and customer interactions. This made it capable of handling a significant volume of inquiries autonomously.

The AI system's ability to provide immediate, accurate responses led to:

  • An increase in customer satisfaction
  • A reduction in operational costs
  • Notable decrease in response times

Integrating AI improved the company’s efficiency and set a new standard in customer service excellence.

Case Study: Advertising Agency Transforms Content Production

A renowned advertising agency transformed its content production process by employing generative AI. 

The agency developed a language model using data from successful ad campaigns, industry trends, and its own brand guidelines. This AI system could create various types of creative content, such as ad copy, social media posts, and video scripts. Each piece of content was customized for specific marketing campaigns, considering factors like the target audience and the emotional effect they wanted to achieve. This made the content highly relevant and effective.

With this integration, the agency saw a reduction in time-to-market. It also saw improvement in creativity and consistency of its content. 

Integrating Generative AI with Traditional SEO Tactics

Blending generative AI with classic SEO methods is becoming an essential strategy for staying competitive in SEO. Here's how you can effectively combine these two approaches:

Combining Human Expertise and AI Insights

The best SEO strategies come from the synergy between human creativity and AI's analytical capabilities. Some tips for a successful integration between the two include:

Enhanced Keyword Strategy

Use AI to generate a broad list of keywords. SEO experts can then refine this list, using their understanding of market nuances and customer behavior to focus on the most impactful terms.

Content Enhancement

Allow AI to suggest formats and styles that are trending or have shown success in the past. Content creators can tailor these suggestions to match the brand’s voice and audience expectations. This will add a personal touch to the content that resonates with readers.

Responsible SEO

Keep AI in check with human oversight and SEO best practices to ensure tactics remain ethical and effective. This helps safeguard your site’s reputation and ranking.

Real-Time Analytics and Adjustments

Search engine algorithms are constantly changing, and staying ahead requires a nimble approach. AI can help by:

  • Deploying AI tools to update keywords and meta descriptions as market trends shift automatically. This will help keep your content fresh and relevant. -
  • Predicting shifts in SEO strategies and preparing your content to meet these changes, ensuring top performance.

Enhance Discoverability with Trustana’s Tools

To further refine your SEO efforts, Trustana offers innovative tools like Product Information Management (PIM) and Digital Asset Management (DAM) that can transform how you handle SEO tasks.

  • PIM Systems: Keep all product data centralized, updated, and easy to manage, simplifying SEO optimization for product pages and ensuring consistency across all digital platforms.
  • DAM Systems: Manage images and videos efficiently, making sure they are optimized for search engines with proper tagging and indexing to improve discoverability and engagement.

Discover how Trustana's tools can enhance your SEO strategy by visiting Trustana’s website. Learn how the right blend of AI and traditional tactics can make your SEO efforts more dynamic and effective.

Better Product SEO Leads to More Sales

Integrating generative AI into SEO is not just a trend. It’s a revolution in digital marketing that offers unprecedented efficiency and effectiveness. 

That said, AI isn't a set it and forget it approach to SEO. Human's still search for the products in the case of retail and e-commerce, so your product content has to be optimized for them, first and foremost. your content will need to evolve to both capture search engine crawlers' attention and the evolving queries of your human cusotmers. AI will help cut down the heavy lifting of that in a tremendous way.

See how Trustana AI imrpoves SEO for every product listing at scale, get a demo based on your business goals today.

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How Generative AI is Revolutionizing Your SEO Game: Explore Now

How to Improve E-commerce SEO with Generative AI

In every evolving marketplace, thousands of new products are launched each month. This competitive landscape makes it challenging for products to stand out! After all, it’s not just about creating a superior product but also about ensuring it reaches the right audience.

This is where Generative AI steps in! The framework is transforming the traditional SEO landscape, helping businesses thrive and survive. With the use of generative AI, businesses can accurately optimize their content so the right people see it. 

In this guide, we discuss generative AI and how it is changing search engine optimization for e-commerce.

Understanding Generative AI in SEO

Generative AI is a type of technology associated with artificial intelligence that can assist in generating new content, insights, or data based on patterns and information it has learned from existing data. 

These AI models are trained on vast datasets. This allows them to understand and replicate complex human-like text patterns. The ability to understand the human way of writing enables them to create SEO-optimized content that is relevant, engaging, and resonates with the latest search engine trends. 

With generative AI for SEO, you can expect the tool to:

  • Predict what type of content will perform well in search rankings
  • Suggest modifications to existing content
  • Identify new SEO opportunities that humans might overlook

Examples of Generative AI Applications in SEO

Generative AI is changing SEO strategies that we have been using since 1997. By leveraging AI's powerful data-processing and learning capabilities, businesses can achieve a competitive edge in search engine rankings. 

Below, let’s explore how businesses can use the impactful capacity of generative AI to optimize their visibility. 

  1. Optimize Keyword Research

 Generative AI tools analyze extensive datasets, including search queries, user behavior, and competitor information, to discover helpful keywords. 

However, these tools don’t just suggest a list of keywords generated through third-party software. Instead, they offer strategic insight into keyword relevance, competition levels, and potential traffic.

For businesses struggling to gain visibility due to traffic, this means discovering underutilized keywords that could provide a niche advantage. The AI keyword optimization allows them to capitalize on these trends quickly and gain a competitive edge over other businesses. 

  1. Improved Content Creation

Over time, AI-generated content has become increasingly sophisticated. Thanks to advances in natural language processing, the content is more or less indistinguishable from human-written text. 

With the help of AI, businesses can create complete articles, blog posts, product descriptions, and even technical content. Based on the input, the content is rich with relevant keywords and tailored to the semantic preferences of search engines. 

With this innovative capability, AI-based content is optimized for the SEO and the readers, optimally balancing keywords with natural sentence flow and readability. 

  1. Content Personalization

Each business and product has a different audience persona. With the help of AI, they can customize the content as per their unique audience segment. 

Personalization includes adjusting the tone and style of the content based on the user’s preference and previous behaviors. This personalization improves user engagement and increases the brand's connection with the audience. 

  1. Predictive Content Performance

Another standout feature of generative AI-driven SEO analysis is its ability to predict the performance of different content types before they even go live. With the help of this oversight, marketers can refine their content strategies, focusing on producing material that is more likely to succeed with the audience and search engine algorithms. 

Ultimately, this predictive analysis ensures that each piece of content contributes positively to the brand’s SEO goals and audience engagement metrics.

If you want to leverage the power of generative AI for SEO, check out Trustana and its advanced AI capabilities. Learn more about Trustana's AI capabilities today and elevate your content strategy to achieve optimal results.

Key Benefits of Generative AI for SEO

The generative AI market is experiencing immense growth. It is projected to reach $4.3 billion by 2027 with a CAGR of 96.7%. 

This rapid expansion highlights its transformative impact across various sectors, including SEO, where it influences productivity, content quality, and operational efficiency. 

Here's a detailed look at the key benefits of leveraging generative AI in SEO:

Enhance Content Quality with AI

Generative AI improves content relevance and engagement. By analyzing extensive data on user behavior and existing content performance, AI can create highly tailored content that aligns with SEO best practices and resonates deeply with the target audience. 

Statistics indicate that 67% of businesses observe an improvement in content quality when using AI. This indicates the AI’s ability to fine-tune content to meet specific user needs and preferences.

Speed Up SEO Processes with AI

AI tools streamline SEO tasks such as keyword research and metadata optimization, boosting productivity by an estimated 24.69%

These tools use predictive analytics to predict the most effective keywords and generate precisely optimized metadata for search engines. This ultimately helps in speeding up the SEO workflow and allowing businesses to focus on other strategic areas.

Automate Content Scaling with AI

Generative AI enables businesses to automate and scale their content production efforts. This automation supports consistent content output, crucial for maintaining SEO relevance and engaging audiences over time. 

Furthermore, the scalability afforded by AI allows organizations to expand their digital footprint rapidly. This helps cater to global audiences with personalized content that meets local preferences and trends.

Case Study: E-commerce Giant Streamlines Customer Support

One notable example of generative AI at work involves a leading e-commerce company that included a conversational AI system in its customer support operations. The AI was trained on vast datasets of product information and customer interactions. This made it capable of handling a significant volume of inquiries autonomously.

The AI system's ability to provide immediate, accurate responses led to:

  • An increase in customer satisfaction
  • A reduction in operational costs
  • Notable decrease in response times

Integrating AI improved the company’s efficiency and set a new standard in customer service excellence.

Case Study: Advertising Agency Transforms Content Production

A renowned advertising agency transformed its content production process by employing generative AI. 

The agency developed a language model using data from successful ad campaigns, industry trends, and its own brand guidelines. This AI system could create various types of creative content, such as ad copy, social media posts, and video scripts. Each piece of content was customized for specific marketing campaigns, considering factors like the target audience and the emotional effect they wanted to achieve. This made the content highly relevant and effective.

With this integration, the agency saw a reduction in time-to-market. It also saw improvement in creativity and consistency of its content. 

Integrating Generative AI with Traditional SEO Tactics

Blending generative AI with classic SEO methods is becoming an essential strategy for staying competitive in SEO. Here's how you can effectively combine these two approaches:

Combining Human Expertise and AI Insights

The best SEO strategies come from the synergy between human creativity and AI's analytical capabilities. Some tips for a successful integration between the two include:

Enhanced Keyword Strategy

Use AI to generate a broad list of keywords. SEO experts can then refine this list, using their understanding of market nuances and customer behavior to focus on the most impactful terms.

Content Enhancement

Allow AI to suggest formats and styles that are trending or have shown success in the past. Content creators can tailor these suggestions to match the brand’s voice and audience expectations. This will add a personal touch to the content that resonates with readers.

Responsible SEO

Keep AI in check with human oversight and SEO best practices to ensure tactics remain ethical and effective. This helps safeguard your site’s reputation and ranking.

Real-Time Analytics and Adjustments

Search engine algorithms are constantly changing, and staying ahead requires a nimble approach. AI can help by:

  • Deploying AI tools to update keywords and meta descriptions as market trends shift automatically. This will help keep your content fresh and relevant. -
  • Predicting shifts in SEO strategies and preparing your content to meet these changes, ensuring top performance.

Enhance Discoverability with Trustana’s Tools

To further refine your SEO efforts, Trustana offers innovative tools like Product Information Management (PIM) and Digital Asset Management (DAM) that can transform how you handle SEO tasks.

  • PIM Systems: Keep all product data centralized, updated, and easy to manage, simplifying SEO optimization for product pages and ensuring consistency across all digital platforms.
  • DAM Systems: Manage images and videos efficiently, making sure they are optimized for search engines with proper tagging and indexing to improve discoverability and engagement.

Discover how Trustana's tools can enhance your SEO strategy by visiting Trustana’s website. Learn how the right blend of AI and traditional tactics can make your SEO efforts more dynamic and effective.

Better Product SEO Leads to More Sales

Integrating generative AI into SEO is not just a trend. It’s a revolution in digital marketing that offers unprecedented efficiency and effectiveness. 

That said, AI isn't a set it and forget it approach to SEO. Human's still search for the products in the case of retail and e-commerce, so your product content has to be optimized for them, first and foremost. your content will need to evolve to both capture search engine crawlers' attention and the evolving queries of your human cusotmers. AI will help cut down the heavy lifting of that in a tremendous way.

See how Trustana AI imrpoves SEO for every product listing at scale, get a demo based on your business goals today.

Generative AI in SEO FAQ

What is Generative AI and how does it relate to SEO?

Generative AI is a branch of artificial intelligence that creates content, insights, or data based on learned patterns from existing datasets. In SEO, it helps businesses generate optimized content, predict performance, suggest improvements, and uncover opportunities to improve search engine rankings.

How does Generative AI improve keyword research?

Generative AI tools analyze large datasets including search queries, competitor strategies, and user behavior. Instead of only suggesting basic keywords, they provide deeper insights into keyword relevance, search volume, competition levels, and traffic potential, helping businesses identify and leverage niche keywords faster.

Can AI-generated content really compete with human-written content?

Yes. Thanks to advancements in natural language processing (NLP), AI-generated content is often indistinguishable from human-written content. It balances keyword use, readability, and engagement, making it effective for both SEO and user experience.

Is it possible to personalize content using Generative AI?

Absolutely. Generative AI can tailor content based on specific audience segments, adjusting tone, style, and even structure according to user preferences or behavior. This personalization helps improve engagement and makes content more relevant to target audiences.

Key Performance Indicator (KPI)
key-performance-indicator-kpi
Generative Engine Optimization (GEO)
generative-engine-optimization-geo
Answer Engine Optimization (AEO)
answer-engine-optimization-aeo
Direct-to-Consumer (DTC)
direct-to-consumer-dtc
Product Content Management (PCM)
product-content-management-pcm
White Label Product
white-label-product
User Experience (UX)
user-experience-ux
UPC (Universal Product Code)
upc-universal-product-code
Third-Party Marketplace
third-party-marketplace
Structured Data
structured-data
Syndication
syndication
Stale Content
stale-content
SKU-Level Analytics
sku-level-analytics
SKU Rationalization
sku-rationalization
SKU Performance
sku-performance
SKU (Stock Keeping Unit)
sku-stock-keeping-unit
SEO (Search Engine Optimization)
seo-search-engine-optimization
Sell-Through Rate
sell-through-rate
Search Relevance
search-relevance
Search Merchandising
search-merchandising
Rich Media
rich-media
Retailer Portal
retailer-portal
Retail Content Syndication
retail-content-syndication
Retail Media
retail-media
Personalization
personalization
Product Data Versioning
product-data-versioning
Replatforming
replatforming
Retail Analytics
retail-analytics
Repricing Tool
repricing-tool
Real-Time Updates
real-time-updates
Product Visibility
product-visibility
Product Variant
product-variant
Product Validation
product-validation
Product Upload
product-upload
Product Title Optimization
product-title-optimization
Product Taxonomy Tree
product-taxonomy-tree
Product Taxonomy
product-taxonomy
Product Tagging
product-tagging
Product Syndication Lag
product-syndication-lag
Product Syndication
product-syndication
Product Status Tracking
product-status-tracking
Product Schema
product-schema
Product Page Bounce Rate
product-page-bounce-rate
Product Onboarding
product-onboarding
Product Metadata
product-metadata
Product Matching
product-matching
Product Lifecycle Stage
product-lifecycle-stage
Product Information Management (PIM)
product-information-management-pim
Product Lifecycle Management (PLM)
product-lifecycle-management-plm
Product Info Templates
product-info-templates
Product Import
product-import
Product Feed Validation
product-feed-validation
Product Feed Scheduling
product-feed-scheduling
Product Feed
product-feed
Product Family
product-family
Product Export
product-export
Product Discovery
product-discovery
Product Detail Page (PDP)
product-detail-page-pdp
Product Dimension Attributes
product-dimension-attributes
Product Description
product-description
Product Data Syndication Platforms
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Product Data Sheet
product-data-sheet
Product Data Quality
product-data-quality
Product Data Harmonization
product-data-harmonization
Product Comparison
product-comparison
Product Content Enrichment
product-content-enrichment
Product Compliance
product-compliance
Product Channel Fit
product-channel-fit
Product Categorization
product-categorization
Product Badging
product-badging
Product Bundling
product-bundling
Product Attributes
product-attributes
Product Attribute Completeness
product-attribute-completeness
PDP Optimization
pdp-optimization
Price Scraping
price-scraping
Out-of-Stock Alerts
out-of-stock-alerts
PDP Heatmap
pdp-heatmap
PDP Conversion Rate
pdp-conversion-rate
Omnichannel Strategy
omnichannel-strategy
Omnichannel
omnichannel
Net New SKU Creation
net-new-sku-creation
Multichannel Retailing
multichannel-retailing
Mobile Optimization
mobile-optimization
Marketplace Listing Errors
marketplace-listing-errors
Metadata
metadata
Marketplace Reconciliation
marketplace-reconciliation
Lifecycle Automation
lifecycle-automation
Marketplace Compliance
marketplace-compliance
Marketplace
marketplace
MAP Pricing (Minimum Advertised Price)
map-pricing-minimum-advertised-price
Long-Tail Keywords
long-tail-keywords
Localization Tags
localization-tags
Listing Optimization
listing-optimization
Inventory Management
inventory-management
GTM (Go-to-Market) Strategy
gtm-go-to-market-strategy
Intelligent Search
intelligent-search
Image Optimization
image-optimization
Headless Commerce
headless-commerce
GTIN (Global Trade Item Number)
gtin-global-trade-item-number
Fuzzy Search
fuzzy-search
Flat File
flat-file
First-Mile Fulfillment
first-mile-fulfillment
First-Party Data
first-party-data-a51e9
Feed Testing Environment
feed-testing-environment
Feed-Based Advertising
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Feed Optimization Tool
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Feed Management
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Feed Diagnostics
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Faceted Search
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ERP (Enterprise Resource Planning)
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EPID (eBay Product ID)
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Enrichment Rules
enrichment-rules
E-commerce Platform
e-commerce-platform
Enhanced Brand Content (EBC)
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EAN (European Article Number)
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Drop Shipping
drop-shipping
Dynamic Pricing
dynamic-pricing
Duplicate Content
duplicate-content
Digital Transformation
digital-transformation
Digital Shelf
digital-shelf
Digital Asset Management (DAM)
digital-asset-management-dam
Data Syncing
data-syncing
Data Normalization
data-normalization
Data Mapping
data-mapping
Data Governance
data-governance
Data Feed Transformation
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Data Feed Error Report
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Data Feed Rules
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Data Enrichment Pipeline
data-enrichment-pipeline
Data Deduplication
data-deduplication
Customer Experience (CX)
customer-experience-cx
Conversion Rate
conversion-rate
Content Scalability
content-scalability
Quality Assurance (QA)
quality-assurance-qa
Content Localization
content-localization
Content Governance
content-governance
Content Gaps
content-gaps
Channel-Specific Optimization
channel-specific-optimization
Channel Readiness
channel-readiness
Category Mapping
category-mapping
Catalog Management
catalog-management
Buy Now, Pay Later (BNPL)
buy-now-pay-later-bnpl
Breadcrumb Navigation
breadcrumb-navigation
Buy Box
buy-box
Automated Workflows
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Automated Categorization
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Automated Content Generation
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Attribution Tags
attribution-tags
Attribute Standardization
attribute-standardization
API (Application Programming Interface)
api-application-programming-interface
Attribute Mapping
attribute-mapping
AI Tagging
ai-tagging
First-Party Data
first-party-data
Data Clean-up
data-clean-up
Blacklisting (in feeds)
blacklisting-in-feeds
A/B Testing
a-b-testing