Nov 20 2024
Wix Rolling Out AI-Powered Site Planning & Visualization Tool via @sejournal, @martinibuster

Wix announced it is rolling out an AI-based tool that simplifies the site planning and visualization step, dramatically compressing the time from planning to site rollout.  The  new tool enables agencies and enterprise users to create a visual map and wireframe website representation for planning new websites, simplifying one of the most fundamental tasks of creating a high performing website.

Wix

Wix is a cloud-based website builder for small to medium size businesses to enterprise level companies that handles all of the back-end technology necessary for creating a professional online web presence with a state of the art website performance and search optimization features. It offers complete customization, marketing and integrations with Google business features that small businesses, agencies and advanced users require.

Site Planning And Visualization

One of the first steps for creating a high performance website that is user friendly, easy to navigate and search optimized is planning the site structure. This is important for every website but especially important for large websites with thousands of products or topics. A taxonomical topic structure that makes it easy for users to locate what they’re looking for begins with creating a visual representation of major category sections with hierarchical nodes that represent subcategories and all of the associated web pages.

Wix’s new tool is an AI-powered tool that can create the visualization after users input the project details. The visual representation allows agencies and designers to view what the site structure will look like and make decisions ahead of time. The visual representation can then be exported to share with clients and stakeholders. The AI can even pre-insert content suggestions. The resulting visual representation can be fully customized and edited. A task that ordinarily can take weeks to months is compressed to days.

Wix explains how it works:

“Agencies and web professionals can input project details, including business type, site description, goals, target audience, and tone of voice. After filling in the information, a tailored sitemap structure is created detailing pages and sections.

If preferred, bespoke wireframes can be generated to kick off the creation process. Both the tailor-made visual sitemap and wireframes are created with pages, sections and relevant business applications.”

The tool’s built-in collaboration functions can reflect changes made to the sitemap in real-time, speeding up the process of getting project buy-in and moving forward.

Read Wix’s announcement:

Visual Sitemap And Wireframe Generator: Site planning, accelerated

Featured Image by Shutterstock/Graphic farm

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Nov 20 2024
LinkedIn Report: Most In-Demand Marketing Jobs & Skills via @sejournal, @MattGSouthern

LinkedIn’s Marketing Jobs Outlook report reveals a rebound in industry job postings, with a 76% increase compared to last year.

The report also identifies the most in-demand marketing roles across regions and experience levels, providing a roadmap for those looking to make career moves.

Whether you’re a seasoned executive or just starting out in the field, understanding these trends can help you position yourself for success.

Report Highlights

Most In-Demand Marketing Roles

According to LinkedIn’s data, these are the marketing positions employers are most actively hiring for now:

North America (NAMER)

  • Early Career: Social Media Manager
  • Mid-Career: Marketing Manager
  • Seasoned: Marketing Director

Europe, Middle East & Africa (EMEA)

  • Early Career: Marketing Specialist
  • Mid-Career: Social Media Manager
  • Seasoned: Head of Marketing

Asia Pacific (APAC)

  • Early Career: Digital Marketing Specialist
  • Mid-Career: Marketing Manager
  • Seasoned: Marketing Director

Latin America (LATAM)

  • Early Career: Community Manager
  • Mid-Career: Marketing Analyst
  • Seasoned: Promoter

B2B Marketing Jobs See 21% Growth

While the overall marketing job market saw a 76% year-over-year increase, B2B marketing roles grew by 21%.

This suggests that despite the more modest growth compared to the broader industry, opportunities are expanding again in the B2B space after last year’s slump.

Marketers Satisfied (But Open to New Opportunities)

The report found a 91% job satisfaction rate among B2B marketers, especially those in executive positions.

However, 55% said they are either actively job searching or would consider leaving for the right opportunity.

Rapid Change Creates Overwhelm

The marketing field is changing quickly, and 72% of professionals feel overwhelmed by these changes.

More than half worry about falling behind if they don’t keep up.

This shift is due to the rapid growth of artificial intelligence (AI), and most professionals expect it to significantly impact their work soon.

The report notes that “to stay ahead of the curve, marketers are embracing continual learning,” with 51%seeking guidance on skills to develop.

Collaborative Problem-Solving: The Skill of the Year

With AI taking on more routine tasks, human-centric skills are more crucial than ever.

LinkedIn named “Collaborative Problem-Solving” the top marketing skill of the year, and it has grown by 138% since 2021.

Key technical skills marketers are growing include Creative Execution (443% increase), Artificial Intelligence (392% increase), and Marketing Technology (351% increase).

What Does This Mean For Marketers?

LinkedIn’s new Marketing Jobs Outlook seems promising, but what should marketers do with these insights?

Here’s the breakdown.

Polish Your Profile (Even if You’re Not Looking)

Most B2B marketers are happy where they are, but over half would jump ship for the right gig.

Keep your resume and LinkedIn fresh in case that dream job pops up.

Embrace the Chaos

Marketing moves fast, and most feel overwhelmed by the constant change.

The solution? Never stop learning. Dive into training on the latest skills and tech to stay caught up.

Balance Tech Savvy With People Skills

You can’t escape AI in marketing now. Get comfy with these tools, but don’t sleep on skills like collaboration and creative problem-solving.

As AI handles the routine stuff, these “human” skills will set you apart.

Target High-Growth Roles

Are you eyeing a career move? Social Media Manager, Marketing Manager, and Director roles are hot in North America.

In EMEA, aim for Marketing Specialist or Head of Marketing jobs.

Stay Flexible

Is your niche growing slower than others? Don’t stress. Remote work means more options across locations.

Plus, your marketing chops likely transfer to other industries—pivot as needed.

Full Report

You can explore LinkedIn’s Fall Marketing Jobs Outlook report for insights, in-demand skills, and career tips.

Featured Image: Primakov/Shutterstock

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Nov 20 2024
Enhance keyword research with Yoast SEO and Semrush

In SEO, using top tools is key. Yoast and Semrush have joined forces to combine their technologies. This integration benefits WordPress and Shopify users by improving their SEO work. Yoast SEO offers easy-to-use SEO features, while Semrush brings solid data that can be used for keyword research. This article will explore the Related Keyphrase feature, which uses Semrush’s keyword data.

Table of contents

Why integrate Yoast SEO with Semrush?

SEO involves more than just content optimization; it requires understanding the search landscape and adopting strategies. The Yoast SEO and Semrush integration offers powerful tools for various SEO areas, like finding keywords, planning, implementation, and analysis.

Benefits for WordPress users

Benefits for WordPress users include enhanced keyword research. You can access Semrush’s vast database from the WordPress editor to find and apply effective related keywords. Get real-time SEO suggestions to refine your content as you write using current SEO data. This integration simplifies your work. You don’t have to jump between tools and platforms as much, so you can concentrate on writing content that ranks.

Advantages for Shopify store owners

Advantages for Shopify store owners include access to ecommerce keywords. These insights help drive targeted traffic to your store. Conduct SEO health checks to analyze and optimize product descriptions and meta tags, ensuring full SEO compliance. Integrating targeted keywords into your Shopify store’s content enhances visibility and boosts conversion potential.

Setting up the integration is simple for both WordPress and Shopify users. Connect your Semrush account to Yoast through the plugin or app interface. This lets you access keyword analytics and SEO advice right in your dashboard. If you haven’t installed Yoast SEO yet, start there. We offer a guide to help you with the setup.

Finding related keyphrases

Related keyphrases, or related keywords, are terms linked to your main keyword. They boost your content’s relevance, which helps search engines grasp your page’s topic and details. Adding related keyphrases makes your content more comprehensive and informative. This enhances its visibility in search results, as search engines favor pages that cover a topic thoroughly.

Using related keyphrases also avoids keyword stuffing, leading to more natural, reader-friendly text. This approach attracts more organic traffic and helps your content rank for a wider range of search queries.

Getting started with related keyphrases

Navigate to the post or page you wish to optimize in the content editor. To access the Semrush tool, locate the Focus keyphrase section and enter your main focus keyphrase. Then, click the Get related keyphrases button, and a pop-up will appear.

Enter your focus keyphrase and click the Get related keyphrase button to access the Semrush pop-up

Semrush presents related keyphrases in the pop-up, including search volume, search intent, difficulty, and trends. For more detailed insights or to explore further, use the Keyword Magic Tool in Semrush. Alternatively, use your preferred keyword research tools to gather additional insights.

Search volume and difficulty data help understand popularity

Semrush’s search volume data shows how often users search for a specific keyword or keyphrase each month. This metric highlights the keyword’s popularity and demand. High search volume suggests strong interest, while low volume indicates fewer searches. You can use search volume data to identify trends over time, spotting seasonal or emerging keywords. Analyzing these volumes helps you gauge your content’s potential reach and find high-demand keywords to target.

However, high search volumes often mean high competition. Balancing search volume with keyword difficulty is key. Keyword Difficulty measures how hard it is to rank in the top ten for a keyword, ranging from 0% to 100%. Lower percentages mean less competition, making it easier to rank, while higher percentages indicate tough competition requiring significant effort.

Yoast SEO shows intent, volume, trend and difficulty data for suggested keyphrases

Semrush and search intent

Semrush provides tools to integrate search intent into your keyword research. Understanding search intent allows you to tailor content to user needs, improving rankings and attracting relevant traffic.

Semrush offers a search intent metric for each keyword, helping you identify whether a keyword is navigational, informational, commercial, or transactional. This insight lets you align your content with user searches. For instance, commercial intent keywords might lead to content focused on comparisons or reviews, while transactional keywords benefit from clear calls-to-action.

You can explore keywords based on search intent using Yoast SEO’s Related Keyphrases tool. This helps you target the most relevant keywords for your content goals. You might focus on informational keywords for a blog aimed at new audiences. For an ecommerce site, combining commercial and transactional keywords can attract potential buyers to your product pages.

Yoast SEO also shows search intent and keyword difficulty data from Semrush

Integrating related keyphrases into your content

Select the most relevant and beneficial related keyphrases from the list provided by Semrush. Focus on search volume, difficulty, and how they relate to your main topic. You can add up to four additional related keyphrases to your content. Yoast SEO will factor in these related keyphrases when analyzing your content and offering suggestions for improvement.

Incorporate related keyphrases naturally

After selecting the best keywords, add them naturally to your content. Avoid keyword stuffing. Use related keyphrases in sections like subheadings, bullet points, and within the body text. Ensure they complement the primary keyphrase and enrich the content’s context.

Include related keyphrases in meta descriptions and image alt texts to expand your content’s relevance. Yoast SEO will give feedback on their integration and suggest improvements.

Analyze and optimize

Once you’ve integrated the related keyphrases, check the analysis from Yoast SEO. The plugin will offer tips for further optimization. Focus on readability and overall keyword usage. Adjust your content based on Yoast SEO’s suggestions to ensure it’s optimized for primary and related keyphrases.

Better keywords with Semrush and Yoast SEO

The Yoast SEO and Semrush integration is a great tool for marketers, content creators, and ecommerce professionals. This partnership helps improve your SEO on WordPress and Shopify by combining data-driven keyword research with practical SEO implementation.

Enhance your SEO by connecting Yoast SEO and Semrush today. Experience the benefits of integrated SEO tools right at your fingertips. Have fun exploring the integration!



Edwin Toonen

Edwin is an experienced strategic content specialist. Before joining Yoast, he worked for a top-tier web design magazine, where he developed a keen understanding of how to create great content.

Avatar of Edwin Toonen

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Nov 20 2024
Cross-Channel Remarketing Campaigns: A Complete Guide via @sejournal, @brookeosmundson

In a perfect world, consumers would purchase after just one interaction with a brand.

The reality is, we don’t live in a perfect world.

Unfortunately, many brands believe that building the perfect campaign structure, having the neatest set of keywords, and writing the most brilliant ad copy is all it takes to bring in sales.

Let’s face it: When was the last time you bought something after being introduced to a product for the first time?

With everyone having multiple devices, it’s no wonder our attention spans are shorter than ever.

We go from work on a big screen to going home and watching another big screen – all while scrolling that little screen in our hands!

This is where cross-channel remarketing comes into play.

Cross-channel remarketing helps you reconnect with users across different platforms, giving you more chances to engage them and boost your results.

Whether you’re an experienced PPC marketer or just starting out, this guide will break down everything you need to know to create effective cross-channel remarketing campaigns.

We’ll cover key strategies and tips to help you build and refine campaigns that work.

What Is Cross-Channel Remarketing?

Cross-channel remarketing is the practice of re-engaging users across multiple digital platforms after their initial interaction with your brand.

Instead of limiting follow-up ads to a single channel, cross-channel remarketing spreads your message across various platforms such as Google Ads, Facebook, Instagram, LinkedIn, and even programmatic display networks.

This strategy ensures that your brand remains top-of-mind for potential customers wherever they spend time online.

Why Does Cross-Channel Remarketing Matter?

Customers don’t stick to one channel when browsing the web – and neither should your remarketing strategy.

Here are some compelling reasons why cross-channel remarketing is a must:

  • Extended Reach and Engagement: By using multiple platforms, you can reach a broader audience and reinforce your brand message more effectively.
  • Higher Conversion Rates: Remarketing users across different channels increases the likelihood of converting them, as they encounter your ads in various online environments.
  • Improved Personalization: Each platform has unique targeting options that enable you to tailor your message to specific audience segments.
  • Better Data Utilization: You can combine data from different channels to gain a comprehensive understanding of user behavior and campaign performance.
  • Enhanced Brand Recall: The repetitive yet varied exposure across multiple platforms strengthens brand recall, making it more likely for users to choose your brand when they’re ready to convert.

Are Multi-Channel And Cross-Channel Remarketing The Same Thing?

While the two may be similar, it’s important to distinguish the difference between the two.

Multi-channel remarketing means you’re targeting audiences across different channels. For example, a campaign that targets both Google Display and YouTube channels.

While they’re targeting multiple channels, they work independently from each other, with no communication between them.

Cross-channel remarketing, on the other hand, is on a whole different level where the channels are connected. It allows you to track and record interactions and better facilitate the customer’s purchase journey.

How To Set Up Your Own Cross-Channel Remarketing Strategy

Creating a successful, holistic cross-channel remarketing strategy involves a carefully thought-out approach.

Consider the following steps when creating your brand’s remarketing strategy:

1. Define Your Goals

Start by clearly defining what you want to achieve. Are you looking to drive conversions, build brand awareness, or encourage user engagement?

Establishing your primary and secondary goals will help inform your creative and targeting strategy across each channel.

Pro tip: Align your goals with the marketing funnel. For instance, use upper-funnel channels like display networks for brand awareness, and mid-to-low funnel channels like search and social for conversions.

2. Choose Your Platforms Wisely

Not all channels are created equal. The platforms you select should align with your audience’s online habits and the nature of your offering. For instance:

  • Google Ads: Great for search intent and display advertising.
  • Facebook and Instagram: Perfect for visually engaging campaigns.
  • LinkedIn: Ideal for B2B audiences.
  • Programmatic Networks: Excellent for scale and dynamic creative capabilities.

Choosing your platforms by industry is just as important. Make sure to select platforms where you know your audience is and meet them where they’re at. A few examples include:

  • Ecommerce: Google Display Network, Facebook, Instagram, TikTok, and programmatic platforms can showcase product images and shopping ads.
  • B2B Services: LinkedIn, Google Search, and remarketing through industry-specific platforms (e.g., Capterra) can yield high engagement.
  • Hospitality and Travel: Instagram Stories, Facebook video ads, and Pinterest can inspire users, while Google Search catches high-intent travelers.

3. Segment Your Audiences Accordingly

Audience segmentation is crucial for effective remarketing.

Create custom audience lists based on user behavior, such as site visitors, product viewers, or past customers.

Leveraging data from your CRM, website analytics, and ad platforms can help you segment audiences to tailor your messaging appropriately.

If you’re looking to advance your audience segmentation strategy, try these ideas:

  • Time-based Segments: Target users who have visited your site within the last 7, 30, or 90 days.
  • Interaction-based Segments: Retarget users who engaged with a specific feature, downloaded a resource, or viewed a video.
  • Customer Value Segments: Differentiate between high-value and lower-value customers to allocate budget efficiently.

How To Integrate Your Creative Strategy

A successful cross-channel remarketing campaign requires a cohesive, creative strategy, which is why creative deserves its own section here.

If you’re not sure how to get started with your creative strategy, use these steps below as a guide.

1. Maintain Consistent Branding

Ensure your ads across channels align with your brand’s voice and aesthetic. This consistency helps build trust and recognition among users.

It will be easier for users to recognize your brand after repeated exposure throughout different channels.

Here are a few visual consistency tips for your creative:

  • Use the same color palette, logo placement, and typography across channels.
  • Maintain a similar tone of voice in ad copy, even if the wording varies based on platform character limits.

2. Adapt Creative For Each Platform

While consistency is key, each platform has unique ad formats and best practices.

For example:

  • Google Display Ads: Use simple visuals and a clear call-to-action.
  • Facebook and Instagram Ads: Leverage video and carousel formats for higher engagement.
  • LinkedIn Sponsored Content: Focus on professional, insight-driven content.

This doesn’t mean you need to completely recreate the wheel (no pun intended) for each creative asset by platform!

By following the same set of branding and principles, you can easily adapt your creative to each individual channel with these simple tips:

  • Static Images vs. Video: Use eye-catching images for static ads and short, engaging videos for platforms like Instagram and TikTok.
  • Interactive Elements: Use carousels or polls on platforms like Instagram to increase user interaction.

3. Use Dynamic Ads

Dynamic ads automatically personalize ad content based on users’ past interactions.

This tactic can significantly improve performance, especially in ecommerce campaigns where product recommendations are key.

The two biggest benefits of dynamic ads are personalization and scalability.

With a personalized experience, users are more likely to engage with ads that display items they previously viewed or added to their cart.

Additionally, with dynamic ads, it’s easier to scale personalization without needing to create hundreds of unique ad creatives.

How To Track And Measure Success

Tracking cross-channel performance is essential to refine your strategies over time.

In order to monitor and measure your campaigns effectively, follow the steps below.

1. Implement Unified Tracking

Ensure you have comprehensive tracking mechanisms in place across all channels.

Using tools like Google Analytics, Tag Manager, and platform-specific pixels allows you to gather insights into user behavior and conversion paths.

A great unified tracking tool to implement is Google Tag Manager (GTM). If you’re running ads on multiple channels, it really simplifies the process of managing tags into one cohesive solution.

Additionally, there are cross-channel attribution software tools that help you gain better visibility on how each channel contributes to overall performance.

2. Leverage Multi-Touch Attribution Models

Single-touch attribution (e.g., last-click) often fails to capture the full picture of user engagement across channels.

Multi-touch attribution models, such as linear or time-decay, give credit to all touchpoints within the buyer journey.

By default, Google Analytics 4 (GA4) uses the data-driven attribution model. This model uses machine learning and historical data to give credit to each marketing touchpoint that leads to a conversion.

Other attribution models available include:

  • Linear Model: Distributes equal credit to all touchpoints.
  • Time-Decay Model: Gives more credit to touchpoints closer to conversion.
  • Position-Based Model: Assigns 40% credit to the first and last interaction, with the remaining 20% distributed among the middle touchpoints.

Best Practices For Cross-Channel Remarketing

Optimizing your cross-channel campaigns is an ongoing process. It should not be seen as a “set and forget” strategy because there are so many underlying factors that contribute to stellar or poor performance.

Here are some best practices to get you started.

1. Set Appropriate Frequency Capping

Avoid overwhelming users by setting frequency caps to limit the number of times they see your ad within a specific timeframe.

In most platforms, impression capping is found in the campaign or ad group settings.

Additionally, some platforms offer more advanced frequency capping options by hour, day, or lifetime.

2. Align Your Messaging With The User Journey

Ensure your remarketing messages correspond to the user’s stage in the buyer journey.

A first-time site visitor might see an ad highlighting product benefits, while a cart abandoner could receive an ad with a discount code.

A very basic user journey messaging alignment example could be:

  • Top-of-Funnel (TOFU): Showcase educational content or brand stories.
  • Middle-of-Funnel (MOFU): Focus on product features, customer reviews, and case studies.
  • Bottom-of-Funnel (BOFU): Include promotions, limited-time offers, or free trials.
  • After Purchasing (Retention): Provide rewards for product reviews, refer-a-friend promotions, or affiliate messaging.

3. Monitor And Optimize Performance

Track key metrics such as click-through rate (CTR), conversion rate, and return on ad spend (ROAS).

Use A/B testing to find the best-performing creatives and make data-driven adjustments.

Some optimization tips include:

  • Rotate Creatives Regularly: Swap out ad creatives every few weeks to avoid ad fatigue.
  • Review Audience Overlap: Ensure that your audiences across platforms don’t overlap excessively, leading to inefficiencies.
  • Analyze Competitor Strategies: Use third-party tools to review competitors’ cross-channel strategies and adjust yours accordingly.

Cross-Channel Challenges And How To Overcome Them

Cross-channel remarketing success doesn’t come without its hurdles.

A few common challenges (and solutions) to consider when embarking on your cross-channel strategy:

  • Attribution Complexity: Determining which channel deserves credit for a conversion can be tricky. Use multi-touch attribution models to better understand how each channel contributes to user actions.
  • Budget Management: Distributing budget effectively across channels can be challenging. Regularly review your budget allocation and adjust based on performance.
  • Creative Fatigue: Users may grow tired of seeing the same ads repeatedly. Rotate creatives regularly to keep content fresh and engaging.

Cross-Channel Marketing Requires A Balance

Cross-channel remarketing is a powerful tool for engaging users and boosting your conversion rates.

By understanding your audience, diversifying your platforms, and optimizing your creative strategy, you can create a cohesive experience that guides potential customers from awareness to action.

Implement these practices to ensure your campaigns resonate with your audience and maximize ROI.

The reality is, cross-channel marketing requires a balance of strategy, testing, and monitoring.

Stay adaptable, keep an eye on what resonates with users, and be ready to refine your approach.

More resources:

Featured Image: Vitalii Vodolazskyi/Shuttestock

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Nov 20 2024
GraphRAG Update Improves AI Search Results via @sejournal, @martinibuster

Microsoft announced an update to GraphRAG that improves AI search engines’ ability to provide specific and comprehensive answers while using less resources. This update speeds up LLM processing and increases accuracy.

The Difference Between RAG And GraphRAG

RAG (Retrieval Augmented Generation) combines a large language model (LLM) with a search index (or database) to generate responses to search queries. The search index grounds the language model with fresh and relevant data. This reduces the possibility of AI search engine providing outdated or hallucinated answers.

GraphRAG improves on RAG by using a knowledge graph created from a search index to then generate summaries referred to as community reports.

GraphRAG Uses A Two-Step Process:

Step 1: Indexing Engine
The indexing engine segments the search index into thematic communities formed around related topics. These communities are connected by entities (e.g., people, places, or concepts) and the relationships between them, forming a hierarchical knowledge graph. The LLM then creates a summary for each community, referred to as a Community Report. This is the hierarchical knowledge graph that GraphRAG creates, with each level of the hierarchical structure representing a summarization.

There’s a misconception that GraphRAG uses knowledge graphs. While that’s partially true, it leaves out the most important part: GraphRAG creates knowledge graphs from unstructured data like web pages in the Indexing Engine step. This process of transforming raw data into structured knowledge is what sets GraphRAG apart from RAG, which relies on retrieving and summarizing information without building a hierarchical graph.

Step 2: Query Step
In the second step the GraphRAG uses the knowledge graph it created to provide context to the LLM so that it can more accurately answer a question.

Microsoft explains that Retrieval Augmented Generation (RAG) struggles to retrieve information that’s based on a topic because it’s only looking at semantic relationships.

GraphRAG outperforms RAG by first transforming all documents in its search index into a knowledge graph that hierarchically organizes topics and subtopics (themes) into increasingly specific layers. While RAG relies on semantic relationships to find answers, GraphRAG uses thematic similarity, enabling it to locate answers even when semantically related keywords are absent in the document.

This is how the original GraphRAG announcement explains it:

“Baseline RAG struggles with queries that require aggregation of information across the dataset to compose an answer. Queries such as “What are the top 5 themes in the data?” perform terribly because baseline RAG relies on a vector search of semantically similar text content within the dataset. There is nothing in the query to direct it to the correct information.

However, with GraphRAG we can answer such questions, because the structure of the LLM-generated knowledge graph tells us about the structure (and thus themes) of the dataset as a whole. This allows the private dataset to be organized into meaningful semantic clusters that are pre-summarized. The LLM uses these clusters to summarize these themes when responding to a user query.”

Update To GraphRAG

To recap, GraphRAG creates a knowledge graph from the search index. A “community” refers to a group of related segments or documents clustered based on topical similarity, and a “community report” is the summary generated by the LLM for each community.

The original version of GraphRAG was inefficient because it processed all community reports, including irrelevant lower-level summaries, regardless of their relevance to the search query. Microsoft describes this as a “static” approach since it lacks dynamic filtering.

The updated GraphRAG introduces “dynamic community selection,” which evaluates the relevance of each community report. Irrelevant reports and their sub-communities are removed, improving efficiency and precision by focusing only on relevant information.

Microsoft explains:

“Here, we introduce dynamic community selection to the global search algorithm, which leverages the knowledge graph structure of the indexed dataset. Starting from the root of the knowledge graph, we use an LLM to rate how relevant a community report is in answering the user question. If the report is deemed irrelevant, we simply remove it and its nodes (or sub-communities) from the search process. On the other hand, if the report is deemed relevant, we then traverse down its child nodes and repeat the operation. Finally, only relevant reports are passed to the map-reduce operation to generate the response to the user. “

Takeaways: Results Of Updated GraphRAG

Microsoft tested the new version of GraphRAG and concluded that it resulted in a 77% reduction in computational costs, specifically the token cost when processed by the LLM. Tokens are the basic units of text that are processed by LLMs. The improved GraphRAG is able to use a smaller LLM, further reducing costs without compromising the quality of the results.

The positive impacts on search results quality are:

  • Dynamic search provides responses that are more specific information.
  • Responses makes more references to source material, which improves the credibility of the responses.
  • Results are more comprehensive and specific to the user’s query, which helps to avoid offering too much information.

Dynamic community selection in GraphRAG improves search results quality by generating responses that are more specific, relevant, and supported by source material.

Read Microsoft’s announcement:

GraphRAG: Improving global search via dynamic community selection

Featured Image by Shutterstock/N Universe

Ecommerce MGMT 0 Comments
Nov 20 2024
How the largest gathering of US police chiefs is talking about AI

This story is from The Algorithm, our weekly newsletter on AI. To get it in your inbox first, sign up here.

It can be tricky for reporters to get past certain doors, and the door to the International Association of Chiefs of Police conference is one that’s almost perpetually shut to the media. Thus, I was pleasantly surprised when I was able to attend for a day in Boston last month. 

It bills itself as the largest gathering of police chiefs in the United States, where leaders from many of the country’s 18,000 police departments and even some from abroad convene for product demos, discussions, parties, and awards. 

I went along to see how artificial intelligence was being discussed, and the message to police chiefs seemed crystal clear: If your department is slow to adopt AI, fix that now. The future of policing will rely on it in all its forms.

In the event’s expo hall, the vendors (of which there were more than 600) offered a glimpse into the ballooning industry of police-tech suppliers. Some had little to do with AI—booths showcased body armor, rifles, and prototypes of police-branded Cybertrucks, and others displayed new types of gloves promising to protect officers from needles during searches. But one needed only to look to where the largest crowds gathered to understand that AI was the major draw. 

The hype focused on three uses of AI in policing. The flashiest was virtual reality, exemplified by the booth from V-Armed, which sells VR systems for officer training. On the expo floor, V-Armed built an arena complete with VR goggles, cameras, and sensors, not unlike the one the company recently installed at the headquarters of the Los Angeles Police Department. Attendees could don goggles and go through training exercises on responding to active shooter situations. Many competitors of V-Armed were also at the expo, selling systems they said were cheaper, more effective, or simpler to maintain. 

The pitch on VR training is that in the long run, it can be cheaper and more engaging to use than training with actors or in a classroom. “If you’re enjoying what you’re doing, you’re more focused and you remember more than when looking at a PDF and nodding your head,” V-Armed CEO Ezra Kraus told me. 

The effectiveness of VR training systems has yet to be fully studied, and they can’t completely replicate the nuanced interactions police have in the real world. AI is not yet great at the soft skills required for interactions with the public. At a different company’s booth, I tried out a VR system focused on deescalation training, in which officers were tasked with calming down an AI character in distress. It suffered from lag and was generally quite awkward—the character’s answers felt overly scripted and programmatic. 

The second focus was on the changing way police departments are collecting and interpreting data. Rather than buying a gunshot detection tool from one company and a license plate reader or drone from another, police departments are increasingly using expanding suites of sensors, cameras, and so on from a handful of leading companies that promise to integrate the data collected and make it useful. 

Police chiefs attended classes on how to build these systems, like one taught by Microsoft and the NYPD about the Domain Awareness System, a web of license plate readers, cameras, and other data sources used to track and monitor crime in New York City. Crowds gathered at massive, high-tech booths from Axon and Flock, both sponsors of the conference. Flock sells a suite of cameras, license plate readers, and drones, offering AI to analyze the data coming in and trigger alerts. These sorts of tools have come in for heavy criticism from civil liberties groups, which see them as an assault on privacy that does little to help the public. 

Finally, as in other industries, AI is also coming for the drudgery of administrative tasks and reporting. Many companies at the expo, including Axon, offer generative AI products to help police officers write their reports. Axon’s offering, called Draft One, ingests footage from body cameras, transcribes it, and creates a first draft of a report for officers. 

“We’ve got this thing on an officer’s body, and it’s recording all sorts of great stuff about the incident,” Bryan Wheeler, a senior vice president at Axon, told me at the expo. “Can we use it to give the officer a head start?”

On the surface, it’s a writing task well suited for AI, which can quickly summarize information and write in a formulaic way. It could also save lots of time officers currently spend on writing reports. But given that AI is prone to “hallucination,” there’s an unavoidable truth: Even if officers are the final authors of their reports, departments adopting these sorts of tools risk injecting errors into some of the most critical documents in the justice system. 

“Police reports are sometimes the only memorialized account of an incident,” wrote Andrew Ferguson, a professor of law at American University, in July in the first law review article about the serious challenges posed by police reports written with AI. “Because criminal cases can take months or years to get to trial, the accuracy of these reports are critically important.” Whether certain details were included or left out can affect the outcomes of everything from bail amounts to verdicts. 

By showing an officer a generated version of a police report, the tools also expose officers to details from their body camera recordings before they complete their report, a document intended to capture the officer’s memory of the incident. That poses a problem. 

“The police certainly would never show video to a bystander eyewitness before they ask the eyewitness about what took place, as that would just be investigatory malpractice,” says Jay Stanley, a senior policy analyst with the ACLU Speech, Privacy, and Technology Project, who will soon publish work on the subject. 

A spokesperson for Axon says this concern “isn’t reflective of how the tool is intended to work,” and that Draft One has robust features to make sure officers read the reports closely, add their own information, and edit the reports for accuracy before submitting them.

My biggest takeaway from the conference was simply that the way US police are adopting AI is inherently chaotic. There is no one agency governing how they use the technology, and the roughly 18,000 police departments in the United States—the precise figure is not even known—have remarkably high levels of autonomy to decide which AI tools they’ll buy and deploy. The police-tech companies that serve them will build the tools police departments find attractive, and it’s unclear if anyone will draw proper boundaries for ethics, privacy, and accuracy. 

That will only be made more apparent in an upcoming Trump administration. In a policing agenda released last year during his campaign, Trump encouraged more aggressive tactics like “stop and frisk,” deeper cooperation with immigration agencies, and increased liability protection for officers accused of wrongdoing. The Biden administration is now reportedly attempting to lock in some of its proposed policing reforms before January. 

Without federal regulation on how police departments can and cannot use AI, the lines will be drawn by departments and police-tech companies themselves.

“Ultimately, these are for-profit companies, and their customers are law enforcement,” says Stanley. “They do what their customers want, in the absence of some very large countervailing threat to their business model.”

Now read the rest of The Algorithm

Deeper Learning

The AI lab waging a guerrilla war over exploitative AI

When generative AI tools landed on the scene, artists were immediately concerned, seeing them as a new kind of theft. Computer security researcher Ben Zhao jumped into action in response, and his lab at the University of Chicago started building tools like Nightshade and Glaze to help artists keep their work from being scraped up by AI models. My colleague Melissa Heikkilä spent time with Zhao and his team to look at the ongoing effort to make these tools strong enough to stop AI’s relentless hunger for more images, art, and data to train on.  

Why this matters: The current paradigm in AI is to build bigger and bigger models, and these require vast data sets to train on. Tech companies argue that anything on the public internet is fair game, while artists demand compensation or the right to refuse. Settling this fight in the courts or through regulation could take years, so tools like Nightshade and Glaze are what artists have for now. If the tools disrupt AI companies’ efforts to make better models, that could push them to the negotiating table to bargain over licensing and fair compensation. But it’s a big “if.” Read more from Melissa Heikkilä.

Bits and Bytes

Tech elites are lobbying Elon Musk for jobs in Trump’s administration

Elon Musk is the tech leader who most has Trump’s ear. As such, he’s reportedly the conduit through which AI and tech insiders are pushing to have an influence in the incoming administration. (The New York Times)

OpenAI is getting closer to launching an AI agent to automate your tasks

AI agents—models that can do tasks for you on your behalf—are all the rage. OpenAI is reportedly closer to releasing one, news that comes a few weeks after Anthropic announced its own. (Bloomberg)

How this grassroots effort could make AI voices more diverse

A massive volunteer-led effort to collect training data in more languages, from people of more ages and genders, could help make the next generation of voice AI more inclusive and less exploitative. (MIT Technology Review) 

Google DeepMind has a new way to look inside an AI’s “mind”

Autoencoders let us peer into the black box of artificial intelligence. They could help us create AI that is better understood and more easily controlled. (MIT Technology Review)

Musk has expanded his legal assault on OpenAI to target Microsoft

Musk has expanded his federal lawsuit against OpenAI, which alleges that the company has abandoned its nonprofit roots and obligations. He’s now going after Microsoft too, accusing it of antitrust violations in its work with OpenAI. (The Washington Post)

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Nov 20 2024
The Download: police AI, and mixed reality’s future

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How the largest gathering of US police chiefs is talking about AI

—James O’Donnell

The International Association of Chiefs of Police bills itself as the largest gathering of its type in the United States. Leaders from many of the country’s 18,000 police departments and even some from abroad convene for product demos, discussions, parties, and awards. 

I went along last month to see how artificial intelligence was being discussed, and the message to police chiefs seemed crystal clear: If your department is slow to adopt AI, fix that now. From the expo hall, talks, and interviews, it seems they’re already enthusiastically heeding the call. Read the full story.

This story is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday.

Roundtables: What’s Next for Mixed Reality: Glasses, Goggles, and More

After years of trying, augmented-reality specs are at last a thing. 

If you want to learn more about where AR experiences are heading, join our editor-in-chief Mat Honan and AI hardware reporter James O’Donnell for a Roundtables conversation streamed online at 2pm ET/11am PT today. It’s for subscribers only but good news: this week our subscriptions are half price. Don’t miss out! 

Read more about mixed reality:

+ We interviewed Palmer Luckey, founder of Oculus, about his plans to bring mixed-reality goggles to soldiers. Here’s what he had to say.

+  The coolest thing about smart glasses is not the AR. It’s the AI.

+ Snap has launched new augmented-reality Spectacles. Here’s what we made of them. 

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The FBI is investigating threats texted to Latino and LGBTQ+ people 
They claim recipients will be deported or sent to a re-education camp. (WP $)
+  ICE can already sidestep sanctuary city laws through data-sharing centers. (Wired $)
+ Trump has confirmed he plans to use the military for mass deportations. (NYT $)

2 Chinese tech groups are building AI teams in Silicon Valley 
Despite Washington’s best efforts to stymie their work. (FT $)
+ How a US ban on investing in Chinese startups could escalate under Trump. (Wired $)

3 How Apple will cope with looming tariffs 
The fact CEO Tim Cook already has a relationship with Trump will surely help. (Bloomberg $)

4 Two undersea cables in the Baltic Sea have been disrupted 
It looks like Russia is trying to interfere with global undersea infrastructure. (CNN)
+ A Russian spy ship had to be escorted out of the Irish Sea last weekend too. (The Guardian)

5 An AI tool could help solve math problems humans are stuck on
It’s a good example of how blending human and machine intelligence can produce positive results. (New Scientist $)
+ This AI system makes human tutors better at teaching children math. (MIT Technology Review)

6 Robots still struggle to match warehouse workers on some tasks
For all the advances robots have made, picking things up and moving them around remains a big challenge. (NYT $)
+ AI is poised to automate today’s most mundane manual warehouse task. (MIT Technology Review)

7 Perplexity’s AI search engine can now buy stuff for you
How long until Google follows? (The Verge)

8 Dozens of states are begging Congress to pass the kids online safety act
It has currently stalled in the House of Representatives due to censorship concerns. (The Verge)
+ Roblox is adding more controls to let parents set daily usage limits, block access to certain game genres, and more. (WSJ $)
+ Why child safety bills are popping up all over the US

9 The US Patent and Trademark Office banned staff from using generative AI
It cited security concerns plus the fact some tools exhibit “bias, unpredictability, and malicious behavior.” (Wired $)

10 NASA might have killed life on Mars 😬
A new paper suggests that adding water to Martian soil might have been a bad move. (Quartz $)
+  The ISS has been leaking air for 5 years, and engineers still can’t agree why. (Ars Technica)

Quote of the day

“We are bleeding cash as an industry.” 

—Thomas Laffont, co-founder of investment firm Coatue Management, says venture capital firms are struggling to make money amid a boom in AI investments, the Wall Street Journal reports.

 The big story

How mobile money supercharged Kenya’s sports betting addiction

BRIAN OTIENO

April 2022

Mobile money has mostly been hugely beneficial for Kenyans. But it has also turbo-charged the country’s sports betting sector.

Experts and public figures across the African continent are sounding the alarm over the growth of the sector increasingly loudly. It’s produced tales of riches, but it has also broken families, consumed college tuitions, and even driven some to suicide. Read the full story.

—Jonathan W. Rosen

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or tweet ’em at me.)

+ I just learned a pertinent word for this season: abscission. 
+ Only some people will get this… but if you’re one of them, you’ll enjoy it. 
+ Why Late of the Pier were one of the most exciting UK bands of the 2000s.
+ Whether you call them crisps or chips, they’re goddamn delicious.

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Nov 20 2024
Holiday 2024 Marketing Campaigns from Top Brands

It’s time to be inspired by some of this year’s top holiday campaigns.

In 2024, global brands are mixing it up, augmenting traditional ad campaigns with multimedia elements and additional engagement channels, including apps, social media, and generative AI.

Coca-Cola: CreateRealMagic.com

Screenshot of Coca-Cola's Create RealMagic

Coca-Cola’s CreateRealMagic

Coca-Cola is arguably the world’s most successful brand. Some of its holiday assets, such as caravan trucks and polar bears, create a nostalgic connection for the holiday season. However, Coca-Cola is embracing artificial intelligence for more.

Consumers can visit CreateRealMagic.com to generate digital greeting cards by reimagining iconic Coca‑Cola images and characters through AI tools. Consumers can download personalized cards, email them to family and friends, or post them on social media. They can also save online galleries and browse the work of fellow creators. Coca‑Cola will feature consumer-created artwork and creations from partner artists on 20 digital billboards around the world, including New York’s Times Square and London’s Piccadilly Circus.

The holiday card generator will be available in over 40 markets globally and supports Coca‑Cola’s celebration of the “inner Santa” through everyday acts of kindness. A new television film, “The World Needs More Santas,” shows how real magic multiplies when people embrace selflessness, generosity, and goodwill. Two additional short films, “Ho-Ho Heist” and “The Note,” will drop in December.

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Burger King: 31 Days of Deals

Screenshot of Burger King's Advent Calendar

Burger King’s Advent Calendar

Burger King has started its holiday campaign, “31 Days of Deals,” with the launch of its BK Advent Calendar, which holds 12 curated gift surprises. Followers can text ADVENT to be in line for the BK Advent Calendar when it goes on sale on November 22. Recipients can expect favorite items such as Chicken Fries and the Whopper hamburger, as well as nostalgic nods to inspire holiday memories.

The “31 Days of Deals” come to life in the “BK Village,” an immersive experience in the BK app that helps bring the Advent Calendar to life digitally. Royal Perks members can explore the snowy town to unlock deals and “deck the halls” of their holiday home. Each day, users can open the mailbox at their digital holiday home to reveal one of the 31 deals to redeem.

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Walmart: Gifts That Show You Get Them

To promote the Black Friday and Cyber Monday kickoff of holiday shopping, Walmart produced a 10-chapter “advertainment” series called “Deals of Desire,” inspired by the thrill of finding the season’s best prices. On October 28, Walmart ran a behind-the-scenes trailer teasing the story and star-studded cast. The retailer then ran chapter 1 on November 11. Followers can visit Walmart.com/deals/blackfriday to shop for specials and follow along as “Deals of Desire” drops new episodes each week.

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Amazon: Midnight Opus

Amazon has released its 2024 ad, “Midnight Opus,” which spotlights small acts of everyday kindness that can spark joy. The spot tells the story of a theater janitor whose hidden vocal talent is discovered and celebrated by his colleagues as they prepare a performance stage for their friend.

With a bit of help from Amazon, the final touch is the delivery of a tuxedo jacket, enabling the performer to step into the spotlight and sing. As his colleagues take their seats, the janitor performs a touching performance of the 1965 classic “What the World Needs Now Is Love,” showcasing his vocal prowess.

Amazon has also unveiled its Virtual Holiday Shop, which uses immersive 3D technology powered by Amazon Beyond (virtual store) to showcase seasonally themed interactive content and a selection of new products. Visitors can add items directly to a cart and then check out as usual.

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SharkNinja: Ninja the Holidays

SharkNinja, a design company for home appliances, has launched its first-ever holiday campaign for its Ninja brand, titled “Ninja the Holidays,” featuring brand ambassador David Beckham. The initial TV spot aired in the U.S. on Friday, November 1, across various streaming partners, followed by additional high-profile spots, including Thursday night football games.

Television ads will also appear across the U.K., France, Germany, Italy, Spain, the Nordics, the Middle East, and the Benelux regions. The campaign will feature prominently on out-of-home platforms, including billboards in Times Square and London, and will extend across social media and other digital channels.

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LEGO: Cataclaws

The LEGO Group has launched its holiday campaign by introducing Cataclaws, an icon for creative LEGO play. The furry brick-built character is a reminder of the power of playing together during the holiday season. The ad features more than 20 LEGO products, unique builds, and cameos from beloved characters. There are also surprises for LEGO fans, including the chance to build their own mini Cataclaws in LEGO stores.

The campaign coincides with the LEGO Group’s annual Build to Give initiative, encouraging everyone to share the power of play with children who need it most by building a heart out of LEGO bricks and promoting it with the hashtag #BuildToGive. For every heart built in LEGO stores, shared on social media, or the LEGO Play app using #BuildToGive before December 31, the LEGO Group will donate a LEGO set to a child needing play in hospitals, children’s homes, and vulnerable communities.

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Etsy: Give ‘I get you’ gifts

Etsy has produced its holiday campaign, “Give ‘I get you’ gifts,” featuring the story of Waldo, who travels the world and gets spotted everywhere he goes. But he finally feels seen when he returns home and receives the perfectly personalized Etsy gift from his best friend. The Etsy spots are reminders that Etsy sellers are producing memories that make the holiday season memorable.

The campaign will extend across channels — from TV and billboards to social media, influencers, and experiential. Etsy is creating hundreds of versions of ads that address key buyer needs and highlight the gifts on its platform. Beyond traditional media, Etsy is engaging audiences through experiential activations and podcast integrations. It’s also teaming up with tastemakers such as “Chief Gifting Officer” Drew Barrymore and tennis star Naomi Osaka to share their favorite gifting finds.

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Old Navy: Love Is in the House

Old Navy has launched its holiday campaign, “Love Is in the House,” starring singer Jennifer Hudson as the hostess of the Old Navy House, where everyone is welcome. A house party features special guests, including dancer and influencer Lexee Smith, dancer and choreographer Raphael “The Sandman” Thomas, nine-year-old dancer Brody Hudson Schaffer, a.k.a. Boss Baby Brody, and Old Navy’s Magic the Dog.

The campaign will air across cinema, television networks, social platforms, and streaming services such as Netflix, Amazon Prime, Hulu, and Disney+, as well as during NFL games. The campaign includes Jennifer Hudson’s rendition of “Winter Wonderland” from her newly released, first-ever holiday album, “The Gift of Love,” to be sold at select Old Navy stores.

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John Lewis: The Gifting Hour

John Lewis, the U.K. retailer, has released “The Gifting Hour,” the second Christmas campaign by the agency Saatchi & Saatchi. The ad is a nostalgic and magical journey to find the perfect Christmas gift. In the ad, a heroine is late to find the right gift for her sister and races into a John Lewis store at closing time. Falling through a rack of dresses, she enters a fantastical world through her memories as she searches against the clock for the ultimate present.

The ad’s soundtrack features the song “Sonnet” by Richard Ashcroft, the former frontman for The Verve rock band. The retailer is holding a competition on social media to find an aspiring artist to cover the song with the help of Ashcroft and record label BMG. The winner will record a version of “Sonnet,” which will feature in a Christmas Day airing of the ad on TV, and BMG will officially release the track. All proceeds from the winning single will go to the John Lewis Partnership’s Building Happier Futures program.

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Urban Outfitters: Happy LOLidays

Urban Outfitters has launched its multichannel “Happy LOLidays” campaign, designed to relieve seasonal stress with fun. Engaging consumers across a range of touchpoints, the campaign features an assortment of items starting at $25. Launching with the “UO Carol,” the spot features a tune by TikTok sensation Lubalin and a dance challenge choreographed by Lars Gummer. Curated selections of trending, budget-friendly picks appear in the “LOLiday Gift Guides,” showcasing culturally relevant, viral products.

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Olipop: Meet OLI and POP

Olipop has produced its 2024 holiday campaign around two holiday yetis, Oli and Pop. The campaign reveals the holiday characters in an animated environment reminiscent of classic stop-motion holiday specials.

Olipop’s campaign will appear across various platforms, including TV, social media, and select connected services. Olipop has also released limited-edition holiday cans for its Vintage Cola and Ginger Ale beverages.

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Sprite: ‘Twas the Night Before Spritemas

Sprite’s “Twas the Night Before Spritemas” is its first new holiday campaign in three years. The remixed holiday classic features basketball star Anthony Edwards as “Anta Claus” and new prose by rapper Monaleo to a hip-hop version of “Carol of the Bells.” The campaign also includes a partnership with carrier service GoPuff to deliver Sprite Winter Spiced Cranberry samples to consumers who tag the brand on Instagram.

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Shutterfly: Make Something That Means Something

Shutterfly has produced its 2024 holiday ad campaign, “Make Something That Means Something,” in partnership with creative agency Quality Experience. The campaign takes viewers through a funny montage of abandoned, meaningless, mass-produced gifts, showing the joy that recipients experience when they receive personalized photo-based gifts, such as books, blankets, mugs, and framed images. The campaign offers unique gifts as alternatives to mass-produced products, promoting the items sold through Shutterfly.

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Nov 19 2024
Gain Greater Search Visibility With AI Overviews [Webinar] via @sejournal, @hethr_campbell

The world of search is undergoing a seismic shift, with AI-powered tools like ChatGPT Search, Perplexity, and Microsoft Copilot changing how users interact with search results. But even in this time of rapid innovation, one thing remains certain: Google continues to dominate the search landscape, holding an impressive 90% market share.

So, what does this mean for your search strategy? How can you adapt to stay visible and competitive?

That’s where we come in.

Join us on December 5th for an exclusive webinar with experts from Botify and DemandSphere, where we’ll walk through their in-depth analysis of 120,000 Google queries.

Together, we’ll uncover critical insights into Google’s AI Overviews, and how to utilize them effectively.

In this live webinar, you’ll learn:

  • The Mechanics of AI Overviews: What triggers them, which queries they prioritize, and how they’re reshaping the search experience.
  • Mastering SERP Real Estate: How much space these features occupy and the optimization strategies you need to compete.
  • Actionable Tips for Staying Ahead: Boost your visibility and rankings without the need for a total strategy overhaul.

Whether you’re a seasoned SEO professional or just starting out, this webinar will give you the insights and tools you need to navigate today’s increasingly competitive organic search environment.

Why Should You Attend?

AI Overviews are quickly becoming a defining feature of Google’s search results. Understanding how to optimize for these changes could be the difference between thriving in search or being left behind.

Plus, we’ll explore why SEO fundamentals—like high-quality content and effective crawling strategies—remain essential, even in an AI-driven world.

Don’t Miss Out!

Join us for this live session to gain exclusive insights, participate in an interactive Q&A after the webinar, and walk away with actionable strategies to plan your SEO efforts for 2025.

Can’t attend live? No problem! Register now, and we’ll send you a recording so you can watch when you want.

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Nov 19 2024
Google: Page-Level & Site-Wide Signals Both Matter For Rankings via @sejournal, @MattGSouthern

Google updates search documentation to clarify how both page-level and site-wide signals influence ranking in search results.

  • Google’s ranking systems evaluate content primarily at the page level, but site-wide signals also matter.
  • Good site-wide signals won’t guarantee high rankings for all pages, and poor site-wide signals won’t doom all pages.
  • This documentation update clarifies existing practices rather than introducing new ranking factors.
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