SEO Guide

SEO Guide matters more than rankings. Learn how SEO, organic traffic, and search engine optimization can boost online growth.

SEO Guide

Modern SEO isn’t about ranking #1 for a single keyword anymore. Search results now change based on who’s searching, what device they’re using, and which platform they’re on—from Google to ChatGPT to TikTok. Winning at SEO today means building full search visibility: showing up often, prominently, and consistently across every surface where your audience searches for answers.
For nearly two decades, SEO success was measured by one simple question: did you rank on page one for your target keyword? Marketers tracked rank positions like a scoreboard, celebrated when they cracked the top three, and panicked when a competitor knocked them down a spot.

That scoreboard doesn’t reflect reality anymore.

Search results today are personalized, fragmented, and increasingly generated by AI rather than pulled from a static list of ten blue links. Two people searching the exact same phrase, at the exact same time, can see completely different results depending on their location, search history, device, and even which platform they used to search. Google, Bing, ChatGPT, Perplexity, and TikTok all answer queries differently, and each has its own idea of what counts as a “good” result.

This guide breaks down what SEO means in this new landscape, why chasing a single keyword ranking is a losing strategy, and how to build genuine search visibility that holds up no matter where or how your audience is searching.

What does SEO mean in 2025 and beyond?

Search engine optimization (SEO) is the practice of improving a website’s content, structure, and authority so it appears more frequently and more prominently across search results. The definition hasn’t changed much on paper. What has changed is the environment it operates in.

Ten years ago, “search results” meant a single, mostly uniform list of links on a Google results page. Today, a single query can trigger multiple different experiences: a featured snippet, a knowledge panel, an AI-generated overview, a map pack, a video carousel, a “People also ask” section, and the traditional organic listings—all on the same page, all competing for the same attention.

Add in the explosion of AI-powered answer engines like ChatGPT, Perplexity, and Google’s AI Overviews, and the concept of a “ranking” starts to lose meaning. These tools don’t return a ranked list. They synthesize an answer, often pulling from multiple sources at once, and present it directly to the user without requiring a click at all.

This is why search visibility—not ranking—is the metric that matters now.

Why ranking for a single keyword is no longer enough

Chasing one keyword and one ranking position made sense when search results were predictable and consistent. That consistency is gone.

Search results are personalized per user.

Google tailors results based on a searcher’s location, device, browsing history, and even the time of day. The same keyword can surface different pages for different people, which means a single “rank” is really an average of many personalized outcomes, not a fixed position.

Search platforms are multiplying.

Search no longer happens exclusively on Google. People look for answers on YouTube, Amazon, Reddit, TikTok, and increasingly, directly within AI chat tools. Each platform has its own ranking logic, content preferences, and user expectations. A page optimized purely for Google’s algorithm may be invisible everywhere else.

AI-generated answers skip the click entirely.

When a user asks an AI assistant a question and gets a synthesized answer, there’s no traditional “ranking” to measure. There’s only a binary outcome: was your content cited as a source, or wasn’t it? This shift rewards content that is clear, well-structured, and easy for AI systems to extract and summarize accurately.

One keyword rarely captures real search intent.

People rarely search using a single exact phrase anymore. They ask full questions, use voice search, or type conversational queries (“best running shoes for flat feet under $100”). Optimizing around one rigid keyword ignores the dozens of related ways people actually phrase their questions.

What is full search visibility, and how is it different from ranking?

Full search visibility refers to how consistently and prominently a brand or website appears across all the places people search for answers, not just in one ranking position on one platform. It accounts for traditional organic results, featured snippets, AI-generated answers, video results, image packs, and mentions across third-party sites that AI tools pull from.

Think of it less as a single scoreboard and more as a map of touchpoints. A business with strong search visibility might show up in a Google featured snippet, get cited by name in a ChatGPT response, rank in the top five on YouTube for a related tutorial, and appear in a “best of” roundup article that Google surfaces prominently. None of those individually guarantees traffic, but together, they create multiple paths for a potential customer to discover the brand.

Choose to optimize for visibility over ranking if your audience uses multiple search platforms, if conversational or voice search drives meaningful traffic to your site, or if your industry is one where AI Overviews frequently answer queries without a click-through. Ranking for a single keyword may still be worth prioritizing if you operate in a narrow, highly transactional niche where Google Search remains the dominant discovery channel and competition for AI visibility is minimal.

How do you build search visibility across multiple platforms?

Building visibility across a fragmented search landscape requires a shift in strategy, from targeting one query to covering a topic comprehensively and making content easy for both humans and machines to understand.

Cover topics in depth, not just keywords in isolation

Instead of writing a single page targeting “best coffee maker,” build a cluster of content that addresses every angle of the topic: comparisons by budget, maintenance tips, brewing methods, and troubleshooting guides. This increases the number of queries your site can realistically answer, which increases the number of opportunities to appear in search results.

Structure content so it’s easy to extract

AI systems and featured snippets both favor content that answers questions directly and early. Use clear headings phrased as questions, keep answers concise and self-contained, and avoid burying the main point under paragraphs of preamble. A well-structured page is more likely to be quoted, cited, or summarized accurately.

Prioritize original, fact-dense content.

Generic, surface-level content is easy for competitors (and AI tools) to replicate or ignore. Original research, specific statistics, named examples, and clear sourcing make content more trustworthy and more likely to be referenced as an authoritative answer.

Optimize for more than Google.

If a meaningful share of your audience searches on YouTube, Amazon, or social platforms, your content strategy needs to reflect that. A product page alone won’t cut it if potential customers are comparing options via short-form video or community discussions on Reddit.

Build authority through consistent entity mentions

Search engines and AI systems increasingly rely on “entities”—recognizable people, brands, and concepts—to understand and trust content. Referring to your brand or product consistently, rather than switching between different descriptors, helps search systems build a clear, accurate association between your name and your expertise.

What role does technical SEO still play?

Technical SEO—site speed, mobile usability, crawlability, and secure connections—remains foundational, even as the broader strategy shifts toward visibility. A page can have the most comprehensive, well-structured content in its niche, but if search engines can’t crawl it efficiently or users abandon it due to slow load times, none of that content matters.

Technical fundamentals act as the floor, not the ceiling. They don’t guarantee visibility on their own, but ignoring them can quietly undercut even the strongest content strategy.

How do you measure success if rankings don’t tell the whole story?

If a single ranking position no longer reflects real performance, SEO measurement needs to expand too. A few metrics worth tracking alongside traditional rank tracking:

• Share of voice across platforms: How often does your brand appear across Google, YouTube, and relevant AI tools for your core topics, compared to competitors?
• Citation frequency in AI answers: Are AI tools referencing your content when answering questions related to your industry?
• Organic traffic diversity: Is traffic coming from a healthy mix of search engines, not just one dominant source?
• Engagement after the click: Are visitors who land on your content actually finding what they need, or bouncing quickly?

No single metric replaces the old “rank tracker” dashboard entirely. Together, though, they paint a far more accurate picture of whether your content is genuinely visible to the people searching for it.

Where should you focus first?

Full search visibility can feel like an overwhelming goal, especially for teams used to optimizing around a handful of target keywords. Start small and build outward:

1. Audit your top-performing content and identify where it could be restructured to answer questions more directly.
2. Identify two or three non-Google platforms where your audience is likely searching, and assess whether you have any presence there at all.
3. Add clear, fact-based answers to your most important pages, formatted so they’re easy for both readers and AI systems to extract.
4. Track citation and mention frequency across AI tools over the next quarter, not just rank positions.

SEO hasn’t disappeared. It has simply grown up, expanding beyond a single scoreboard into a broader, more complex landscape where visibility matters more than any one position ever did. Brands that adapt now, by building content that performs across search engines, video platforms, and AI assistants alike, will be the ones still showing up when someone asks a question five years from now.

Frequently Asked Questions

Is traditional SEO dead now that AI Overviews exist?

No. Traditional SEO practices like technical optimization, quality content, and backlink building still matter. What’s changed is the scope: ranking in a single search engine no longer guarantees visibility, since users now discover content through AI tools, video platforms, and other channels too.

How long does it take to improve search visibility across multiple platforms?

Timelines vary widely depending on existing site authority and competition. Still, most businesses should expect at least three to six months before seeing meaningful shifts in visibility across platforms, since AI tools and search engines need time to index and trust new content signals.

What’s the risk of only optimizing for Google rankings?

Focusing exclusively on Google rankings leaves a business vulnerable to algorithm changes and to missing audiences who search elsewhere, including on YouTube, Amazon, Reddit, or directly within AI chat tools where Google doesn’t control the results.

Do I need separate content for AI Overviews versus traditional search results?

Not necessarily separate content, but content structured differently. Pages written with clear, direct answers near the top, supported by specific facts and named sources, tend to perform well both in traditional rankings and in AI-generated summaries.

Who should prioritize full search visibility over traditional rank tracking?

Businesses in competitive, research-heavy industries—like software, health, or finance—benefit most from prioritizing full visibility, since their audiences are more likely to research across multiple platforms before making a decision.

The post The Complete Guide to SEO: Why Search Visibility Matters More Than Rankings appeared first on ManiWebify.

His comments came during a heated exchange about whether recent spammy backlinks could influence rankings during a core update. The answer? It’s more nuanced than most people think, and understanding this distinction could transform how you approach SEO strategy.
This post breaks down Mueller’s key insights about core updates, explores why Google focuses on long-term patterns rather than recent changes, and provides actionable advice for navigating future algorithmic shifts with confidence.

What Are Google Core Updates and How Do They Work?

Google releases several core updates each year, typically every three to four months. These broad algorithmic changes affect how Google evaluates and ranks web pages across all search results, rather than targeting specific types of content or tactics.

Unlike more focused updates that might address particular issues like page speed or mobile usability, core updates reassess websites holistically. They examine factors like content quality, user experience signals, expertise and authority markers, and overall site trustworthiness.

The effects can be dramatic. Websites might see significant ranking improvements or declines, often without making any recent changes to their content or SEO strategy. This unpredictability has led to widespread speculation about what triggers these fluctuations.

Mueller’s Key Insight: Long-Term Patterns vs. Recent Changes

During the Bluesky discussion, Mueller clarified a crucial misconception about core update timing. When SEO professionals questioned whether a recent wave of spammy backlinks could impact rankings during a core update, Mueller explained that core updates primarily evaluate longer-term patterns rather than recent site changes or sudden link spam attacks.

This distinction is fundamental to understanding how Google’s algorithm operates. Core updates don’t react to what happened to your website last week or even last month. Instead, they analyze accumulated signals and patterns that have developed over extended periods.
Think of it like a performance review at work. Your manager doesn’t just look at what you accomplished in the past two weeks. They consider your overall contributions, growth trajectory, and consistent performance patterns over months or even years.

Why Google Focuses on Long-Term Data

Google’s emphasis on long-term patterns serves multiple strategic purposes that benefit both the search engine and users.

Algorithmic Stability

Short-term fluctuations in website metrics can be misleading. A site might experience a temporary traffic spike due to viral content or suffer brief technical issues that affect user experience. By focusing on longer-term trends, Google’s algorithm makes more stable and reliable assessments of website quality.

This approach prevents rankings from swinging wildly based on temporary anomalies. Imagine if every technical glitch or content experiment could dramatically alter your search visibility within days. The search results would become chaotic and unreliable for users.

Spam Resistance

Focusing on long-term patterns makes Google’s algorithm more resistant to manipulation attempts. Spammers often rely on quick tactics like sudden link-building campaigns or content farms designed to game the system rapidly.

When the algorithm primarily considers established patterns, these short-term manipulation attempts have minimal immediate impact. This forces bad actors to maintain deceptive practices over extended periods, making their tactics more detectable and easier to penalize.

Quality Assessment Accuracy

Genuine website improvements take time to demonstrate their value. High-quality content needs time to attract natural engagement, build authority, and establish trust with users. Similarly, technical improvements require time to show a measurable impact on user experience metrics.

By evaluating longer-term patterns, Google can better distinguish between sustainable quality improvements and temporary optimizations that don’t provide lasting value to users.

What This Means for Recent Link Spam Attacks

Mueller’s clarification directly addresses concerns about sudden spammy backlink campaigns affecting core update performance. If your website recently became the target of negative SEO or spammy link building, this activity is unlikely to impact your rankings during a core update significantly.

However, this doesn’t mean link spam is completely harmless. Google’s systems continuously monitor link profiles and can take action against obvious spam attempts through other algorithmic processes or manual penalties.

The key takeaway is that core updates specifically look at established patterns of link building, content quality, and user engagement rather than reacting to recent anomalies in your backlink profile.

Protecting Your Site from Link Spam

While recent link spam may not affect core updates, it’s still wise to monitor your backlink profile regularly. Use Google Search Console to track new links pointing to your site and identify any suspicious patterns.

If you discover obvious spam links, you can disavow them through Google’s Disavow Tool. However, don’t panic about every low-quality link. Google has become sophisticated at ignoring obvious spam without requiring manual intervention from website owners.

Focus your energy on building genuine, high-quality links through creating valuable content, building relationships with other websites in your industry, and providing exceptional user experiences that naturally encourage linking.

Implications for SEO Strategy

Understanding that core updates evaluate long-term patterns fundamentally changes how you should approach SEO strategy. Quick fixes and tactical adjustments are less important than sustained, consistent efforts to improve your website’s overall quality and user value.

Content Strategy Adjustments

Instead of constantly tweaking content based on the latest algorithmic speculation, focus on creating comprehensive, helpful resources that serve your audience’s needs over time. This means developing content strategies that prioritize depth, accuracy, and genuine user value rather than keyword optimization alone.

Build content clusters around topics where you can demonstrate expertise and authority. Develop comprehensive guides, maintain up-to-date information, and regularly refresh existing content to ensure it remains valuable and accurate.

Technical SEO Considerations

Technical improvements also benefit from long-term thinking. Rather than implementing quick technical fixes hoping for immediate ranking boosts, develop systematic approaches to improving site performance, mobile usability, and user experience metrics.

Monitor Core Web Vitals consistently and make gradual improvements to page loading speeds, interactivity, and visual stability. These metrics represent user experience factors that Google evaluates over time rather than in isolated snapshots.

Link Building Philosophy

Adopt sustainable link-building practices that focus on relationship-building and content marketing rather than quick link-acquisition tactics. Develop partnerships with other websites, create linkable assets like research studies or comprehensive guides, and engage genuinely with your industry community.

This approach takes longer to show results, but creates the long-term authority signals that core updates actually evaluate.

How to Prepare for Future Core Updates

Since core updates evaluate established patterns, preparation requires consistent, long-term efforts rather than last-minute optimizations.

Establish Measurement Baselines

Track key performance metrics consistently over time to understand your website’s normal patterns and identify genuine improvements or declines. Monitor organic traffic, user engagement metrics, conversion rates, and technical performance indicators regularly.

This data helps you distinguish between normal fluctuations and significant changes that indicate algorithmic impacts or underlying issues requiring attention.

Focus on User Experience Excellence

Prioritize user experience improvements that compound over time. This includes site navigation optimization, content organization improvements, mobile experience enhancements, and page speed optimizations.

These factors contribute to the long-term user satisfaction patterns that core updates evaluate, making them more valuable than quick technical fixes or content adjustments.

Build Sustainable Authority

Develop strategies for building domain authority and topical expertise that strengthen over time. This involves consistent content creation, community engagement, expert collaboration, and industry participation.

Authority building requires patience and persistence, but it creates the robust quality signals that core updates reward.

Common Misconceptions About Core Updates

Mueller’s insights help dispel several persistent misconceptions about how core updates work.

Many SEO professionals assume that recent website changes directly correlate with core update performance. If they made content updates or technical improvements shortly before a core update, they often attribute ranking changes to these recent modifications.

The reality is more complex. While recent improvements might influence rankings, core updates primarily evaluate patterns that developed over much longer timeframes. Your recent changes may not show their full impact until subsequent updates or through other algorithmic processes.

Another common misconception involves the timing of recovery efforts. Some believe that websites penalized by previous core updates can only recover during subsequent core updates. While core updates do provide opportunities for reassessment, Google’s algorithm continuously evaluates websites and can recognize improvements between major updates.

Moving Forward with Long-Term SEO Thinking

Mueller’s clarification about long-term patterns versus recent changes offers a valuable framework for sustainable SEO success. Rather than reacting to every algorithmic rumor or attempting quick fixes, focus on building websites that consistently deliver value to users over extended periods.

This approach requires patience and strategic thinking, but it creates more stable and sustainable search visibility. Websites built on solid foundations of quality content, technical excellence, and genuine user value are more likely to weather algorithmic changes successfully.

Start by auditing your current SEO practices. Are you focused on quick wins and tactical adjustments, or are you building long-term quality and authority? The answer to this question will largely determine your success with future core updates.

Remember that Google’s ultimate goal is to provide users with the best possible search results. Align your SEO strategy with this objective by consistently improving your website’s ability to serve users effectively, and you’ll be well-positioned for success regardless of future algorithmic changes.

The post John Mueller’s Core Update Insights appeared first on ManiWebify.

For content creators and marketers, this shift presents both challenges and opportunities. AI Overviews primarily serve informational searches—those moments when users seek knowledge, explanations, or detailed insights rather than immediate purchases. Understanding this distinction is crucial for developing an effective SEO strategy that works with, rather than against, Google’s evolving search experience.

The key lies in recognizing that AI Overviews attract a different type of traffic than traditional search results. While they excel at capturing informational intent, they don’t eliminate the need for transactional optimization. Smart SEO professionals are learning to balance both approaches, creating content strategies that satisfy users seeking information while maintaining visibility for high-intent commercial searches.

This comprehensive guide will show you exactly how to optimize your content for AI Overviews while preserving your ability to capture valuable transactional traffic.

Understanding AI Overviews and Their Impact on SEO

Google’s AI Overviews represent a significant evolution in search technology. These AI-generated responses appear above traditional search results, synthesizing information from multiple sources to provide comprehensive answers to user queries.

The system works by analyzing top-ranking content across the web, identifying patterns, and extracting key information to create cohesive, informative summaries. For users, this means faster access to answers. For website owners, this means adapting to a new visibility paradigm in which traditional ranking positions matter less than content quality and relevance.

AI Overviews typically trigger for informational queries—searches beginning with “how,” “what,” “why,” or “when.” These searches represent users in the research phase, seeking knowledge rather than being ready to make immediate purchasing decisions. Understanding this user intent is fundamental to optimizing effectively.

The traffic from AI Overview optimization tends to be highly engaged but less commercially ready. Users clicking through from AI Overviews are often looking to dive deeper into topics, explore related concepts, or verify information. This creates opportunities to build authority, capture email subscribers, and nurture potential customers through educational content.

Optimizing Content Structure for AI Overview Selection

Google’s AI systems favor content that answers questions clearly and comprehensively. The structure of your content plays a crucial role in whether it gets selected for AI Overviews.

Start with clear, direct answers to common questions in your field. Place these answers early in your content, ideally within the first 100-150 words of relevant sections. Use descriptive headings that mirror how people actually search for information.

Break complex topics into digestible sections using H2 and H3 headings that function as natural question-and-answer pairs. For example, instead of generic headings like “Benefits,” use specific headings like “How Does X Improve Y?” or “What Makes Z Different from Traditional Methods?”

Create content that builds logically from basic concepts to more advanced ideas. AI systems appreciate content that provides context before diving into specifics. This approach also serves human readers better, increasing engagement metrics that signal quality to search algorithms.

Include relevant data, statistics, and examples that support your main points. AI Overviews often pull specific facts and figures, so incorporating credible data increases your chances of being featured. Always cite sources and ensure accuracy, as AI systems are becoming better at identifying and penalizing misleading information.

Technical SEO Strategies for AI Overview Optimization

Technical optimization for AI Overviews requires attention to both traditional SEO factors and newer considerations specific to AI consumption.

Schema markup becomes increasingly important for AI Overview optimization. Implement the FAQ, How-to, and Article schemas where appropriate. These structured data types help AI systems understand your content’s purpose and organization, increasing the likelihood of selection.

Page speed and Core Web Vitals remain critical ranking factors that indirectly influence AI Overview selection. Fast-loading pages with excellent user experience signals are more likely to be authoritative sources worthy of featuring in AI summaries.

Optimize your content for featured snippets, as there’s significant overlap between snippet optimization and AI Overview preparation. Use numbered lists, bullet points, and clear paragraph structures that make information easy to extract and synthesize.

Ensure your content is crawlable and indexable. AI systems need access to your full content to understand context and relevance. Avoid excessive JavaScript that might prevent proper content indexing, and maintain clean URL structures that reflect your content hierarchy.

Content Creation Best Practices for Informational Queries

Creating content that resonates with AI Overviews requires a shift toward comprehensive, authoritative coverage of topics rather than thin, keyword-focused articles.

Develop pillar content that thoroughly covers broad topics in your industry. These comprehensive resources serve as authoritative references that AI systems can confidently cite and summarize. Support these pillars with cluster content that delves into specific subtopics in depth.

Focus on answering the questions your audience actually asks. Use tools like Answer the Public, Google’s People Also Ask feature, and customer service logs to identify common questions. Create content that directly and comprehensively addresses these queries.

Write in a clear, conversational tone that explains complex concepts without unnecessary jargon. AI systems favor content that demonstrates expertise while remaining accessible to general audiences. This approach also improves user engagement and potential for sharing.

Include practical examples, case studies, and actionable advice in your informational content. While users might not be ready to purchase immediately, providing genuine value builds trust and positions your brand as a reliable resource for future needs.

Balancing Informational and Transactional Content Strategy

The rise of AI Overviews doesn’t eliminate the importance of transactional SEO, but it does require a more nuanced approach to content strategy.

Create distinct content tracks for different user intents. Develop comprehensive informational content optimized for AI Overviews alongside targeted transactional pages designed to capture commercial searches. These content types serve different purposes and require different optimization approaches.

Use your informational content as a top-of-funnel strategy to build awareness and authority. Include subtle calls to action that guide readers to your transactional pages when appropriate, but avoid overly promotional language that might reduce your chances of being selected for the AI Overview.

Implement topic clustering strategies that connect informational and commercial content. Create hub pages that cover topics comprehensively while linking to specific product or service pages that address commercial intent. This approach helps users naturally progress from research to purchasing consideration.

Monitor the performance of both content types separately. Track metrics like time on page, pages per session, and conversion paths to understand how users interact with different content types. Use this data to refine your balance between informational and transactional optimization.

Measuring Success and Performance Tracking

Tracking AI Overview optimization requires new metrics beyond traditional SEO measurements.

Monitor your brand mentions and content citations in AI Overviews using tools like BrightEdge or Conductor, or through manual searches for your target keywords. Track which content gets featured and analyze the characteristics of successful pieces.

Pay attention to click-through rates from AI Overviews, which often differ significantly from traditional search results. Users who click from AI Overviews may exhibit different behavior patterns, so segment this traffic in your analytics for better understanding.

Track engagement metrics such as time on page, scroll depth, and pages per session for traffic from AI Overview clicks. This data helps you understand whether your content satisfies user intent and provides opportunities for optimization.

Monitor brand awareness and authority metrics, as AI Overview optimization often contributes more to these goals than immediate conversions. Track branded search volume, direct traffic increases, and mentions across social media and other platforms.

Advanced Strategies for Long-Term AI Overview Success

Staying ahead in AI optimization requires continuous adaptation and strategic thinking about future developments.
Build comprehensive content ecosystems around your core topics rather than isolated articles. AI systems increasingly favor sources that demonstrate deep expertise across related subjects. Create interconnected content that reinforces your authority and provides multiple entry points for different user needs.

Develop relationships with other authoritative sources in your industry. AI systems often synthesize information from multiple trusted sources, so building connections with complementary businesses can increase your chances of being featured alongside or referenced by other quality content.

Invest in original research, surveys, and data creation. AI Overviews often cite unique data and insights, making them a primary source for industry information. This can significantly boost your visibility and authority.

Stay updated with Google’s evolving AI capabilities and search features. The AI Overview system continues to develop, and early adoption of new optimization strategies often provides competitive advantages.

Adapting Your SEO Strategy for the AI-First Future

The integration of AI Overviews into search results represents a fundamental shift toward more sophisticated, user-focused search experiences. Success in this environment requires moving beyond traditional keyword optimization toward comprehensive value creation.

Start implementing these strategies gradually, beginning with your most important informational content. Monitor results closely and adjust your approach based on performance data and user feedback. Remember that AI Overview optimization is a long-term strategy that builds authority and trust over time.

The businesses that thrive in the AI Overview era will be those that embrace the dual nature of modern SEO—creating exceptional informational content that serves users while maintaining strategic focus on commercial opportunities. By balancing these approaches thoughtfully, you can build sustainable SEO success that adapts to continuing changes in search technology.

The future of SEO lies not in gaming algorithms, but in genuinely serving user needs across the entire customer journey. AI Overviews reward this user-first approach, making 2025 the perfect time to align your SEO strategy with both technological advancement and fundamental marketing principles.

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