Google Confirms That Structured Data Won’t Make A Site Rank Better via @sejournal, @martinibuster

Google’s John Mueller answered a question on Bluesky about whether structured data helps with SEO, which may change how some people think about it.

Schema.org Structured Data

When SEOs talk about structured data they’re talking about Schema.org structured data. There are many kinds of structured data but for SEO purposes only Schema.org structured data matters.

Does Google Use Structured Data For Ranking Purposes?

The person starting the discussion first posted that they were adding structured data to see if it helps with SEO.

Mueller’s first post was a comment about the value of preparation:

“Yes, and also no. I love seeing folks stumble into the world of online marketing, search engines, and all that, but reading up on how things technically work will save you time & help you focus.”

The original poster responded with a question:

“In your experience, how has it helped?”

That’s when Mueller gave his answer:

“(All of the following isn’t new, hence the meme.) Structured data won’t make your site rank better. It’s used for displaying the search features listed in developers.google.com/search/docs/… . Use it if your pages map to & are appropriate for any of those features.”

Google Only Uses Structured Data For Rich Results

It might seem confusing that structured data doesn’t help a site rank better but it makes more sense to think about it as something that makes a site eligible for rich results. In the context of AI Search results, Google uses regularly indexed data from websites and because AI search results are a search feature, it may rely on the documented structured data for search related features (read more about that here: Google Confirms: Structured Data Still Essential In AI Search Era.)

The main points about structured data in the context of AI search is that according to what was shared at a recent Search Central Live (hat tip to Aleyda Solis):

“Structured data is critical for modern search features

Check the documentation for supported types

Structured data is efficient,
…for computers easy to read,
… and very precise”

In a nutshell, for the context of AI Search:
Structured data supports search features and AI Search is an AI feature. AI search also relies on the regular search index apart from the Schema.org structured data.

How Google Uses Structured Data In Search Features

Google uses only a fraction of the available Schema.org structured data. There are currently over 800 Schema.org structured data types and Google only uses around 30 types for which it publishes structured data documentation for required properties for each structured data type and other guidelines and requirements.

The only use Google has for structured data is to collect information in a machine readable format so that it can then use the information for displaying rich results, which can be seen for recipes, reviews, displaying website information in carousel format, and even to enable users to buy books directly from the search results.

Adding Schema.org structured data doesn’t guarantee that Google will display the site with a rich results feature in search. It only makes a site eligible to be displayed in rich results. Adding non-documented forms of Schema.org structured data won’t affect search optimization for a site because Google ignores all but the roughly thirty structured data types.

Read the original discussion on Bluesky:

Adding structured data to see if it helps with SEO

Featured Image by Shutterstock/ViDI Studio

AI & SEO-Driven Content Marketing: How To Calculate True ROI for B2B Companies in 2025

This post was sponsored by Heeet. The opinions expressed in this article are the sponsor’s own.

How do you calculate the true cost of SEO content production?

Are you overspending or underspending on SEO compared to performance?

Can you connect SEO-driven awareness to pipeline and revenue?

How do you make SEO efforts more visible to your C-suite?

If you aren’t sure, that’s okay.

You may simply lack the tools to measure the actual impact of SEO on revenue.

So, let’s dive in and:

  • Break down the true steps to B2B conversion.
  • Highlight the tools to calculate the true ROI of your SEO-driven content in 2025.
  • Look past the simplified first and last-touch approach to attribution.
  • Leverage the need for multitouch solutions that track engagement with SEO content throughout the buyer’s journey.

Can I Connect SEO To Revenue?

Yes, you can connect SEO to revenue.

Why Should I Connect SEO To Revenue?

SEO plays a large role in future conversions.

In fact, SEO helps prospects discover your brand, tool, or company.

SEO also helps provide easy-to-discover content with informational intent, which helps to nurture a prospective lead into a sale.

Your prospect’s journey:

  1. Starts at the first time they find your optimized webpage on the search engine results page (SERP).
  2. Moves into nurture, where your B2B prospects typically perform months of extensive product research via traditional searches and AI results before a sale is closed.

The fact that informative content is found on SERPs is due to SEO.

But how is this tracked? How do you know which non-conversion pages are:

  • Part of the user journey?
  • Part of the overall ROI?

How Do I Tie SEO To Company Revenue?

Luckily, your C-suite likely recognizes the need for SEO content.

They are prepared to invest in a strategy incorporating AI search.

However, you need tools that validate the investment and clearly showcase it for your higher-ups.

How To Keep Revenue High When SERPs Are Changing

Gartner predicts that traditional search engine volume will drop 25% by 2026 and flow directly to AI chatbots and agents.

As AI continues to accelerate the evolution of SEO, it’s critical to ensure that high-performing pages:

  • Continue to rank in traditional SERPs.
  • Appear in Google’s AI overviews.
  • Get referenced by the Gen AI tools your audience relies on.
  • They are tracked, so these visits are attributed to a sale.

That’s why you need to understand why certain content is picked up by AI tools and the cost of generating the content to calculate the true ROI of your SEO.

Step 1. How To Create Content That Gets Seen In Traditional Search & AI Overviews

With the shift in consumer search behavior, your first step is to create, optimize, and measure the ROI of content sourced by leading AI tools.

That means appearing in AI Overviews and AI Answers that contain list-based content and product comparisons.

Search Your Brand & See What Each AI Tool Recommends

That’s the first step to determining whether your content or your competitor’s stands out.

Give these prompts a try:

  • What is the best solution for…
  • Give me the top tools for…
  • Best alternative to…
  • Is [competitor] solution better than…

Optimize Your Existing Content & Strategy To Feed AI’s Answer Base

The next step is optimizing existing content and adjusting your strategy so that you write copy that gives AI the answers it’s looking for.

With that said, following traditional SEO strategies and best practices championed by Google should help.

Just like traditional search, AI tools also favor:

  • Proper site and article structure with explicit metadata and semantic markup.
  • Content with lists and bullet points that are easier to scan.
  • Websites optimized for speed.
  • Updated content, keeping things fresh with context.
  • Content with backlinks from high-quality publications.
  • FAQ sections.
  • Mobile-responsive websites with indexable content when pulling sources to provide an answer.

These factors give your content more authority in your industry, just like the content outside your website that Google and LLMs look for to find answers from, such as videos on YouTube, reviews on G2, and conversations on Reddit forums.

Publishing enough quality content for all those channels to optimize for AI and be visible in traditional search is no small task. It requires substantial human resources, SEO tools, and time.

Step 2. Understand All Aspects Of The Real Cost Of SEO Content In 2025

SEO is a long game, especially in B2B, where the path from first click to purchase can span weeks or months and involve multiple touchpoints.

And now, with AI influencing how content is discovered, the cost of doing SEO well has increased.

To accurately assess the cost of SEO-driven content in 2025, you need to go beyond production budgets and organic traffic. Here’s how:

Break Down Your True SEO Investment

Start by identifying all the resources that go into content creation and maintenance:

  • People: Writers, designers, SEOs, developers, and editors.
  • Tools: SEO platforms, content optimization tools, keyword research databases, analytics software.
  • Distribution: Paid support for SEO content, social promotion, and email newsletters.
  • Maintenance: Refreshing old content, updating links, and improving page experience.

Monitor Content Performance Over Time

Track the performance of each piece of content using more than just rankings:

  • Organic traffic (from both traditional search and AI surfaces).
  • Time on page and engagement metrics.
  • Cost per lead and pipeline contribution (if possible).
  • Assisted conversions across all touchpoints.

Map Content to Buyer Journey Stages

Content doesn’t just convert, it nurtures. Tie content assets to specific stages:

  • Top-of-funnel (education, discovery).
  • Mid-funnel (comparison, product evaluation).
  • Bottom-of-funnel (case studies, demos).

Even if content isn’t the final touchpoint, it plays a role. Traditional tools miss this.

Adjust, Monitor & Pivot

No single metric will tell the full story. Instead:

  • Adjust: Re-optimize content based on AI overview visibility, CTR, and engagement.
  • Monitor: Watch how users arrive from search vs. AI sources.
  • Pivot: Invest more in formats and topics that show traction across both human and AI audiences.

Without full-funnel attribution, even the most engaged content may look like a cost center instead of a revenue driver.

That’s why accurate measurement, aligned with total investment and the full buyer journey, is critical to understanding the real ROI of your SEO content in 2025.

However, we know that:

  • AI Overviews and similar answer engines also play a big role in education and nurturing.
  • Attributing a sale to content read on an untrackable AI Overview is impossible, but it’s happening.

This is where the calculation gets difficult.

Step 3. Incorporate Multi-Touch Attribution To Your Revenue Calculations

Now that we’re here, you’re beginning to understand how tricky it is to tie ROI to AI Overview responses that nurture your prospects.

How do you accurately determine the cost?

Some people are creating their own attribution models to calculate ROI.

Most people are using tools that are built specifically for this new calculation.

The only way to accurately calculate cost in B2B SEO is to capture the engagement with content throughout the buyer journey, which conventional attribution models don’t credit.

Incorporate These Blindspots: Pre-Acquisition & The Post-Lead Journey

Another substantial blind spot in SEO measurement occurs when companies focus exclusively on pre-acquisition activities, meaning everything that happens before a lead is added to your CRM.

Consider the typical journey enterprise clients take in an account-based marketing approach:

  1. After multiple organic searches, a prospect converts into a lead from direct traffic.
  2. After being qualified as an SQL, they’re included in an email sequence that they never respond to, but return through a Google Ads campaign promoting a white paper.
  3. They download it from an organic search visit and continue reading more blog articles to understand your product and the outcomes they hope to achieve.

Can your marketing team track how each channel (direct, paid search, and organic) influenced the deal throughout the sales process?

Multitouch attribution tools allow marketers to finally link SEO content to tangible business outcomes by tracking what SEO-driven content leads interacted with before a sale.

Heeet Makes SEO ROI Calculations Easy

After years of wrestling with these challenges, we built Heeet to fill the void: an end-to-end attribution solution that connects SEO efforts and interactions generated from content marketing to revenue by highlighting their impact throughout the sales cycle within Salesforce.

Our proprietary cookieless tracking solution collects more data, ensuring your decisions are based on complete, unbiased insights rather than partial or skewed information.

Traditional SEO measurement often relies on first-click or last-click attribution, which fails to capture SEO’s entire influence on revenue. Heeet places SEO on a level playing field by providing full-funnel attribution that tracks SEO’s impact at every customer journey stage.

We help marketers determine whether SEO-driven content is the first touchpoint, one of the many intermediary interactions along the lengthy B2B sales cycle, or the final conversion leading to a sale to pinpoint SEO’s cumulative influence on your pipeline.

Screenshot from Google, April 2025

Heeet actively tracks every touchpoint, ensuring that the actual impact of SEO is neither underestimated nor misrepresented.

Rather than neglecting SEO’s role when a prospect converts through another channel, Heeet delivers a complete view of how different personas in the buying committee interact with each piece of content and where they’re converting. This empowers businesses to make informed, data-driven SEO strategies and investment decisions.

Screenshot from Heeet, April 2025
Screenshot from Heeet, April 2025

Measuring ROI is non-negotiable and hinges on precise revenue tracking and a thorough understanding of costs. Heeet streamlines this process by directly integrating SEO costs into Salesforce, covering all production expenses such as software, human resources, design, and other strategic investments.

Screenshot from Heeet, April 2025

Businesses can accurately evaluate SEO profitability by linking these costs to SEO-driven revenue. Heeet delivers a straightforward, unified view of previously fragmented data within Salesforce, empowering marketing and finance teams to confidently assess SEO ROI with a single tool.

Screenshot from Heeet, April 2025

SEO is more than ranking on Google; it’s about driving impactful engagement with quality content referenced in the multiple search tools buyers use. Heeet tracks which content prospects engage with and ties it directly to revenue outcomes, providing marketing and sales teams with critical insights that propel them forward. With our Google Search Console integration, we’re helping marketers draw more data into Salesforce to get the unified view of their content’s performance in a single place and connect search intents with business outcomes (leads, converted leads, revenue,…). This enables marketers to align ranking position with search intent and revenue, enhancing content strategy and tracking performance over time.

Screenshot from Heeet, April 2025

For B2B marketers pairing their SEO content with a paid strategy, our latest Google Ads update allows users to see the exact search query that prospects typed before clicking on a search result. This allows SEO experts and copywriters to gain the intel they need to reduce their cost per lead by creating content they know their audience is searching for.

Screenshot from Heeet, April 2025

Ready to enhance your marketing ROI tracking and connect every marketing activity to revenue?

From SEO to events, paid ads, social organic, AI referrals, webinars, and social ads, Heeet helps you uncover the real performance of your marketing efforts and turn revenue data into actionable insights.


Image Credits

Featured Image: Image by Shutterstock. Used with permission.

In-Post Image: Images by Heeet. Used with permission.

Google Updated Documentation For EEA Structured Data Carousels (Beta) via @sejournal, @martinibuster

Google updated the structured data documentation for their European Economic Area (EEA) carousels that are currently in beta. A notable change is that the shopping queries carousels beta testing has expanded beyond Germany, France, Czechia, and the UK, so that availability is now open to all EEA countries. A byproduct of the changes is that the documentation is more easily understood.

Example Of Tidying Up Content Structure

Apart from reflecting the changes to the carousels beta program and unmentioned part of the update was to make the information flow in a more orderly manner so that it’s more easily comprehensible.

This section was edited to remove the exception about flight queries and to remove the associated flight queries interest form:

“…you can start by filling out the applicable form (for flights queries, use the interest form for flights queries).”

That section now reads like this:

“you can start by filling out the applicable form:”

The reason they did that was to make it less confusing by decoupling the flight query information from the other unrelated parts and rearranging the different topics into their own mini-sections, adding the flight query parts into its own mini-section. It creates a more orderly procession of information that makes the entire page easily understandable.

Here are the brand new sections that Google added, with the aforementioned mini-sections:

“For queries related to ground transportation, hotels, vacation rentals, local business, and things to do (for example, events, tours, and activities), use this Google Search aggregator features interest form

For flights queries, use this flight queries interest form

For shopping queries, get started with the Comparison Shopping Services (CSS) program”

Feature Change

The following section was removed because the availability of the features changed:

“For shopping queries, it’s being tested first in Germany, France, Czechia, and the UK.”

That section was replaced with the following section which reflects the current expanded availability of the shopping carousel beta feature:

“This feature is currently only available in European Economic Area (EEA) countries, on both desktop and mobile devices. It’s available for travel, local, and shopping queries.”

Google’s changelog for the change explains it like this:

“Updating the interest forms for structured data carousels (beta)
What: Updated the structured data carousels (beta) documentation to include the current interest forms and supported query types.

Why: To reflect the current state of the feature and process for expressing interest.”

Read Google’s feature availability documentation here:

Structured data carousels (beta)

Featured Image by Shutterstock/Hieronymus Ukkel

Wix’s New AI Assistant Enables Meaningful Improvements To SEO, Sales And Productivity via @sejournal, @martinibuster

Wix announced a new chat-based AI assistant named Astro that simplifies site operations and business tasks, giving users faster access to tools and insights that support business growth, better SEO, and improved site performance.

Wix Astro offers the following benefits and advantages:

  • Carry out operational and administrative actions using conversational prompts.
  • Navigate and use site management tools in the Wix dashboard.
  • Offers personalized suggestions and up-to-date performance feedback to fine-tune the website.
  • Reviews site analytics, including traffic patterns, purchase behavior, and search visibility, to guide strategy.
  • Can generate articles, newsletters, and promotional content.
  • Enables users to expand business opportunities by adding new products for sale and trying out alternative fulfillment models like dropshipping and other customizations.

Users can also use Astro to manage their Wix plans, receive personalized plan recommendations and also access administrative details related to billing, invoices and transactions.

According Guy Sopher, Head of the AI Platform Group at Wix:

“Astro seamlessly integrates powerful capabilities into a single interface, making it easier than ever for users to manage their businesses efficiently, with this being the largest collection of skills we’ve ever incorporated into a single assistant at Wix. Boasting hundreds of different skills and capabilities, with more added every day, Astro acts as a trusted guide, Astro provides real-time insights and personalized recommendations to help users optimize their sites.”

By streamlining workflows and simplifying access to essential tools, it empowers users to accomplish more in less time. As they engage more deeply with the platform’s features, they can ultimately unlock greater opportunities for growth, visibility, and business success.”

Other platforms are currently planning to roll out AI for their customers but Wix is out there doing it right now. Wix Astro solidifies Wix’s position as an industry leader in deploying technology in meaningful ways that offers their users competitive advantages over other platforms.

Read more about Wix’s thoughtful deployment of AI:

Powerful AI. Wherever you need it.

Featured Image by Shutterstock/SAG stock

HubSpot Announces 200+ Features At Spring Spotlight 2025 via @sejournal, @brookeosmundson

HubSpot has introduced over 200 product updates and features as part of its Spring 2025 Spotlight release.

The updates include expanded AI functionality across the platform, enhancements to Marketing Hub Enterprise, and the launch of new AI-powered Workspaces designed to streamline collaboration across marketing, sales, and support teams.

Let’s be honest: marketing and sales teams have spent the past year duct-taping together disconnected tools, trying to keep up with buyer behavior that’s changing at an alarming speed.

These challenges are even more challenging for SMBs, where they’re inundated with talks of AI, but not enough tools dedicated to help streamline their workflows.

HubSpot aims to ease the burden that businesses are facing, whether that’s with tighter budgets or smaller teams.

Here’s a closer look at the updates and what they could mean for teams using HubSpot today.

New Breeze Agents To Help Go-To-Market Teams

A key highlight of the release is the introduction of four Breeze Agents, HubSpot’s AI-powered assistants designed to support different go-to-market functions.

These agents are embedded across the HubSpot platform and aim to automate repetitive tasks and provide timely, contextual assistance based on data already inside the CRM.

The four Breeze agents include:

  • Customer Agent: Designed to assist customer support teams, this agent can handle common support inquiries automatically. HubSpot reports that early adopters have resolved over 50% of support tickets through automation, with a reduction in average handling time.
  • Knowledge Base Agent: This tool monitors incoming support tickets and uses AI to recommend or create content that fills knowledge gaps, helping customers self-serve and reducing support ticket volume.
  • Prospecting Agent: Focused on sales, this agent assists with researching target accounts, drafting outreach, and even engaging prospects, helping to accelerate early-stage sales activities.
  • Content Agent: Aimed at marketers, the Content Agent can generate content across multiple formats (blog posts, emails, and even podcast outlines) based on campaign needs and CRM insights.

Here’s an example of the new Breeze Customer Agent in the HubSpot platform.

HubSpot Breeze Customer Agent example in the platform.Image credit: HubSpot, April 2025

These AI agents are designed as embedded features meant to reduce manual effort within common workflows.

Their success will likely depend on how well they integrate into day-to-day processes and how customizable they are across industries and team sizes.

New Features in Marketing Hub Enterprise

While the Marketing Hub Enterprise is not a new product, it receives several notable feature upgrades in this release.

If you especially for teams managing multiple brands, business units, or international markets.

The updates are designed to help teams execute faster, personalize more effectively, and maintain oversight across distributed teams and campaigns.

Lookalike Lists

Powered by HubSpot’s AI engine Breeze, this feature analyzes customer data within the Smart CRM to build new lists of prospects who resemble a brand’s best existing customers.

The goal is to simplify audience targeting and help teams focus on higher-probability leads without extensive manual segmentation.

HubSpot marketing platform Lookalike lists.Image credit: HubSpot, April 2025

Journey Automation

A drag-and-drop interface allows marketers to build multi-stage customer journeys that adapt in real time based on user behavior and data inputs.

HubSpot Journey Automation builder.Image credit: HubSpot, April 2025

Additionally, it provides real-time insights to show what’s working at a glance:

HubSpot Journey reporting insights.Image credit: HubSpot, April 2025

Multi-Account Management

For businesses managing several accounts, regions, or brands, this upgrade enables:

  • Asset Copying to share campaigns and templates across business units.
  • Data Mirroring to sync customer records across teams while maintaining centralized data control.
  • Centralized Management to monitor activity across all accounts from a single HubSpot organization
HubSpot multi-account management configuration.Image credit: HubSpot, April 2025.

These updates reflect growing demand from scaling businesses for better structure, visibility, and reuse of high-performing assets, without introducing additional complexity.

For multi-location or multi-brand companies, these features could reduce duplication and improve speed to launch.

AI Workspaces for Sales, Support, and Success Teams

The last of the major updates is the launch of three new Workspaces. Each is tailored to the workflows of sales, customer support, and success teams.

These Workspaces serve as focused environments within the HubSpot platform, designed to improve task management and reduce context switching.

The new Workspaces include:

  • Sales Workspace. Consolidates CRM data, lead prioritization, and engagement tools in one place. Reps can track deal stages, review activity timelines, and draft outreach without switching between multiple tools.
  • Customer Success Workspace. Helps success teams view customer health, manage renewals, and proactively flag accounts that may be at risk. The Workspace integrates tasks, alerts, and reporting to support account management efforts.
  • Help Desk Workspace. Designed for support reps, this Workspace centralizes open tickets, customer interaction histories, and AI-powered triage tools. The goal is to streamline response time and improve service quality through better visibility and workflow efficiency.
HubSpot Help Desk Workspace example.Image credit: HubSpot, April 2025.

These Workspaces aim to centralize high-impact actions and data within each function, helping teams prioritize and collaborate more effectively.

As more companies unify their go-to-market strategy across departments, tools that reduce operational friction can play a key role in productivity gains.

What This Means For Marketers & Teams

For mid-sized businesses and teams needing to scale operations, the broader message of HubSpot’s Spring release is clear: the platform is evolving beyond its roots in marketing automation and CRM to serve as a full go-to-market system.

Andy Pitre, Executive Vice President of Product at HubSpot, stated:

SMBs don’t need more AI hype—they need technology that helps. The products we’re launching at the Spring 2025 Spotlight are helping teams move fast on AI and solve their go-to-market challenges. We’ve embedded AI throughout our entire platform so businesses of any size can start seeing value immediately, without massive teams or budgets.

The addition of AI agents and focused Workspaces, combined with deeper control and scale features in Marketing Hub Enterprise, could be especially impactful for:

  • Companies managing campaigns across multiple locations or brands
  • Teams looking to improve collaboration between sales, marketing, and support
  • Organizations that want automation and AI tools without heavy implementation lift

At the same time, as AI becomes increasingly baked into platforms, the challenge for teams will be ensuring these tools are deployed intentionally, rather than adding to the noise.

A Platform Moving Toward Unified Execution

This launch reflects HubSpot’s broader strategy: building a unified, AI-powered platform that supports sales, marketing, and customer operations from one central system.

Rather than offering standalone AI features, the company is embedding automation and intelligence into workflows that teams are already using. This approach could help reduce the friction of AI adoption for smaller businesses that lack dedicated ops or data teams.

Still, the real test will be whether these features translate into measurable efficiency gains and better customer experiences—without creating new complexity.

For now, HubSpot users who’ve felt constrained by fragmented tools or limited automation options may find that this release offers more opportunities to scale intelligently—and collaborate more effectively—across their entire go-to-market engine.

Google Files Patent On Personal History-Based Search via @sejournal, @martinibuster

Google recently filed a patent for a way to provide search results based on a user’s browsing and email history. The patent outlines a new way to search within the context of a search engine, within an email interface, and through a voice-based assistant (referred to in the patent as a voice-based dialog system).

A problem that many people have is that they can remember what they saw but they can’t remember where they saw it or how they found it. The new patent, titled Generating Query Answers From A User’s History, solves that problem by helping people find information they’ve previously seen within a webpage or an email by enabling them to ask for what they’re looking for using everyday language such as “What was that article I read last week about chess?”

The problem the invention solves is that traditional search engines don’t enable users to easily search their own browsing or email history using natural language. The invention works by taking a user’s spoken or typed question, recognizing that the question is asking for previously viewed content, and then retrieving search results from the user’s personal history (such as their browser history or emails). In order to accomplish this it uses filters like date, topic, or device used.

What’s novel about the invention is the system’s ability to understand vague or fuzzy natural language queries and match them to a user’s specific past interactions, including showing the version of a page as it looked when the user originally saw it (a cached version of the web page).

Query Classification (Intent) And Filtering

Query Classification

The system first determines whether the intent of the user’s spoken or typed query is to retrieve previously accessed information. This process is called query classification and involves analyzing the phrasing of the query to detect the intent. The system compares parts of the query to known patterns associated with history-seeking questions and uses techniques like semantic analysis and similarity thresholds to identify if the user’s intent is to seek something they’d seen before, even when the wording is vague or conversational.

The similarity threshold is an interesting part of the invention because it compares what the user is saying or typing to known history-seeking phrases to see if they are similar. It’s not looking for an exact match but rather a close match.

Filtering

The next part is filtering, and it happens after the system has identified the history-seeking intent. It then applies filters such as the topic, time, or device to limit the search to content from the user’s personal history that matches those criteria.

The time filter is a way to constrain the search to within a specific time frame that’s mentioned or implied in the search query. This helps the system narrow down the search results to what the user is trying to find. So if a user speaks phrases like “last week” or “a few days ago” then it knows to restrict the query to those respective time frames.

An interesting quality of the time filter is that it’s applied with a level of fuzziness, which means it’s not exact. So when a person asks the voice assistant to find something from the past week it won’t do a literal search of the past seven days but will expand it to a longer period of time.

The patent describes the fuzzy quality of the time filter:

“For example, the browser history collection… may include a list of web pages that were accessed by the user. The search engine… may obtain documents from the index… based on the filters from the formatted query.

For example, if the formatted query… includes a date filter (e.g., “last week”) and a topic filter (e.g., “chess story”), the search engine… may retrieve only documents from the collection… that satisfy these filters, i.e., documents that the user accessed in the previous week that relate to a “chess story.”

In this example, the search engine… may apply fuzzy time ranges to the “last week” filter to account for inaccuracies in human memory. In particular, while “last week” literally refers to the seven calendar days of the previous week, the search engine… may search for documents over a wider range, e.g., anytime in the past two weeks.”

Once a query is classified as asking for something that was previously seen, the system identifies details in the user’s phrasing that are indicative of topic, date or time, source, device, sender, or location and uses them as filters to search the user’s personal history.

Each filter helps narrow the scope of the search to match what the user is trying to recall: for example, a topic filter (“turkey recipe”) targets the subject of the content; a time filter (“last week”) restricts results to when it was accessed; a source filter (“WhiteHouse.gov”) limits the search to specific websites; a device filter (e.g., “on my phone”) further restricts the search results from a certain device; a sender filter (“from grandma”) helps locate emails or shared content; and a location filter (e.g., “at work”) restricts results to those accessed in a particular physical place.

By combining these context-sensitive filters, the system mimics the way people naturally remember content in order to help users retrieve exactly what they’re looking for, even when their query is vague or incomplete.

Scope of Search: What Is Searched

The next part of the patent is about figuring out the scope of what is going to be searched, which is limited to predefined sources such as browser history, cached versions of web pages, or emails. So, rather than searching the entire web, the system focuses only on the user’s personal history, making the results more relevant to what the user is trying to recall.

Cached Versions of Previously Viewed Content

Another interesting feature described in the patent is web page caching. Caching refers to saving a copy of a web page as it appeared when the user originally viewed it. This enables the system to show the user that specific version of the page in search results, rather than the current version, which may have changed or been removed.

The cached version acts like a snapshot in time, making it easier for the user to recognize or remember the content they are looking for. This is especially useful when the user doesn’t remember precise details like the name of the page or where they found it, but would recognize it if they saw it again. By showing the version that the user actually saw, the system makes the search experience more aligned with how people remember things.

Potential Applications Of The Patent Invention

The system described in the patent can be applied in several real-world contexts where users may want to retrieve content they’ve previously seen:

Search Engines

The patent refers multiple times to the use of this technique in the context of a search engine that retrieves results not from the public web, but from the user’s personal history, such as previously visited web pages and emails. While the system is designed to search only content the user has previously accessed, the patent notes that some implementations may also include additional documents relevant to the query, even if the user hasn’t viewed them before.

Email Clients

The system treats previously accessed emails as part of the searchable history. For example, it can return an old email like “Grandma’s turkey meatballs” based on vague, natural language queries.

Voice Assistants

The patent includes examples of “a voice-based search” where users speak conversational queries like “I’m looking for a turkey recipe I read on my phone.” The system handles speech recognition and interprets intent to retrieve relevant results from personal history.

Read the entire patent here:

Generating query answers from a user’s history

Google Confirms Discover Coming To Desktop Search via @sejournal, @MattGSouthern

Google has announced plans to bring Discover to desktop search. This move could change how publishers get traffic from Google.

The news came from the Search Central Live event in Madrid and was first shared by SEO expert Gianluca Fiorelli on X.

Google has tested Discover on desktop before, but this is the first time it has confirmed it’s happening. The company hasn’t said when it will launch.

What Is Google Discover?

Google Discover is a feed that shows content based on what you might like. It appears in the Google app, Chrome’s new tab page, and google.com on phones.

Unlike regular searches, you don’t need to type anything. Discover suggests content based on your interests and search history.

As Google defines it:

“Discover is a part of Google Search that shows people content related to their interests, based on their Web and App Activity.”

Why This Matters: Discover’s Growing Impact on Publisher Traffic

This desktop launch is important as Discover has become a bigger traffic source for many sites.

A January survey from NewzDash found that 52% of news publishers consider Discover a top priority. The survey also showed that 56% of publishers saw recent traffic increases from Discover.

Martin Little from Reach plc (publisher of UK news sites like Daily Mirror) recently said that Google Discover has become their “single largest traffic referral source.”

Little told Press Gazette:

“Discover is making up for [search traffic losses] and then some. Almost 50% of our titles are growing year-on-year now, partly because of the shifts in Google.”

Optimizing Content for Google Discover

You don’t need special markup or tags to appear in Discover. However, Google suggests these best practices:

  • Create quality content that matches user interests
  • Use good, large images (at least 1200px wide)
  • Write honest titles that accurately describe your content
  • Don’t use misleading previews to trick people into clicking
  • Focus on timely, unique content that tells stories well

Little noted that Discover prefers “soft-lens” content – personal stories, lifestyle articles, and niche topics. Breaking news and hard news often don’t do as well.

“You don’t get court content in there, no crime, our council content doesn’t get in there,” Little explained what Discover tends to avoid.

Desktop Expansion: Potential Traffic Implications

The desktop rollout could significantly change traffic patterns for publishers already using mobile Discover.

Google’s presentation slide at the Madrid event highlighted “expanding surfaces,” which suggests Google wants a more consistent experience across all devices.

For SEO pros, this is both an opportunity and a challenge. Desktop users browse differently from mobile users, which might affect how content performs in Discover.

Building a Discover Strategy

Publishers wanting to get more Discover traffic should consider these approaches:

  1. Monitor performance: Use Search Console’s Discover report to track how your content is doing.
  2. Diversify content: Don’t ignore traditional search traffic while optimizing for Discover.
  3. Focus on keeping readers: Consider using newsletters to turn Discover visitors into regular readers.
  4. Use effective headlines: Publishers note that Discover often picks headlines with a “curiosity gap” – titles that tell enough of the story but hold back key details to encourage clicks.

What’s Next?

As Google expands Discover to desktop, publishers should prepare for traffic changes. This move shows Google’s shift from just answering searches to actively suggesting content.

While we don’t know the exact launch date, publishers who understand and optimize for Discover will have an advantage.


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WordPress Plugin Extends Yoast SEO via @sejournal, @martinibuster

The Progress Planner WordPress plugin has announced a new integration with Yoast SEO, enabling users to take full advantage of Yoast’s features to maximize website search performance.

Progress Planner Plugin

Progress Planner is developed by the same people who created Yoast SEO, ensuring that both plugins work perfectly together. The main functionality of the plugin is to help WordPress users maintain their website so that it performs at its best. The new functionalities extends the usefulness of Progress Planner as it now encompasses SEO.

The new functionality offers personalized suggestions of how to set Yoast SEO plugin for maximum performance.

According to the Progress Planner announcement:

“Progress Planner’s assistant, Ravi, will provide smart recommendations, guiding users to their next best task. Progress Planner will check whether Yoast SEO users have properly configured the settings of their plugins and will help and motivate users to make corrections.”

This is a brand new functionality and many others are planned.

Read more about the Progress Planner’s Yoast integration:

Level up your SEO-game: Progress Planner’s new integration with Yoast

Download the plugin at the official WordPress.org plugin repository: Progress Planner

Featured Image by Shutterstock/Krakenimages.com

Why Search Marketing & Branding Need Each Other via @sejournal, @coreydmorris

I own a digital agency that has existed for 20 years and did branding until just two years ago.

It wasn’t until we stopped doing branding that I came across a number of meaningful connections and “needs” search and branding teams have that enhance the efforts of both.

Search marketers are often at the other end and far away from brand strategy.

When branding is pressed for return on investment (ROI), it often comes downstream through marketing channels, platforms, and the implemented strategy.

Search often struggles without a differentiated brand or strategy to stand  out from competitors in search results for ads or content.

I believe there are great benefits to connecting branding and search, partnering together, and working closely within broader business and marketing teams and environments.

Digging into conversations, my experience, and perspectives shared with me, I’m sharing the benefits categorized for search marketers and brand creatives/strategists alike that can create more consistent and impactful opportunities to elevate brands and performance overall.

For Search Marketers

Content & Creative Standards

In the absence of robust brand strategy development and documentation, search marketers (among other channels) are often left in a vacuum when it comes to creating content and assets needed for SEO and paid search success.

In a vacuum, there are best practices and channel strategies that can guide what gets created and what words, messaging, and creative are utilized.

However, it can be fragmented, inconsistent, and unrelated to broader themes and objectives.

When we have standards and strategies to leverage, we can be a further extension of the key unique messages to bring the brand alive.

I can’t count the number of times there have been conversations between search marketers and sales teams about specific ad copy and imagery that have no grounding or truth from brand strategy to fall back on.

I’ll say this as someone who has done SEO for a long time: You don’t want an SEO to write your copy or design your creative. There are exceptions and unicorns, but you want your SEO experts and SEM specialists doing their craft.

Unique Value Propositions

One of the key measures of search campaigns and strategies is how effective they are in driving conversions – and even deeper, what happens with those conversions and whether they become actual sales, revenue, and profit.

When leads are qualifying, too expensive, beat salespeople up over price, or don’t buy from an online store and go back to Google, we haven’t done our job in telling the story and sharing our value proposition.

There will always be someone looking for the cheapest, and unless we’re the low-price leader, we’ll lose those sales.

But, when someone is seeking our unique offering and factors that can include price but much more are in play, we want to do a great job presenting those at every touch point, including those important to SEO and PPC.

Without having these, we’re either making up our own, leaning on more shallow features and benefits, or inadvertently making our products and services seem similar to everyone else’s.

Support For Off-Page Factors

Unique content, value, and benefits offered through a strong brand identity and strategy can lead to more defined and actionable results.

This is especially true when it comes to attracting links to content (backlinks), and unlinked brand mentions that matter for SEO.

With both legacy focuses on PR and the ability to leverage the brand and newer focuses on digital PR strategies to enhance being found through AI search functions, having a solid branding foundation is important for SEO and PR efforts connected to optimization around external factors and backlinks specifically.

Support For Other Resources

At points in my career managing SEO and paid search, when talking to a writer, UX designer, and other resources, I’ve been faced with questions outside of SEO about voice, tone, style, and other brand aspects.

In many cases, I haven’t had a person, team, or documentation to point to.

SEO especially needs other resources like IT, UX, writers, and others to be successful.

When branding and brand strategy are integrated and accessible, we can again reduce a gap or vacuum created when other resources get pulled in.

The more integrated our messaging is, the better we know our brand and the rules of the road and the more we can do together to be efficient in our resources and not have to do disjointed, unique research in different functions and departments.

For Brand Creatives & Strategists

Connection To More KPIs And ROI

Brand strategy and development have always been critical to any company’s presence, impacting product development, sales, marketing, and customer service.

In so many cases, though, branding has been hard to connect to specific direct key performance indicators (KPIs).

Stakeholder reactions, adoption, and validation of the intended messaging happen.

But most measurement downstream happens in marketing, sales, and other areas well beyond first impressions, and it isn’t explicitly intended to measure brand impact when it gets into marketing tactics and sales pipelines.

With integration and closer relationships between digital marketing (and search) and branding counterparts, more customer journey mapping can be done, bringing KPIs into alignment from the branding process all the way through conversions and sales.

Research And Data Gained

Branding processes leverage market research to guide their work.

Search marketing lives on research data (keywords, audiences, competitors) and analytics to get as real-time as possible in terms of measuring impact.

Search-specific research and analytics are not typically top sources for branding projects. Yet, the data can be a great supplement (and even potentially unique in some cases) to help add another dimension to the market research used in branding strategy decisions and development.

By partnering with search colleagues, a new wealth of information can be gained.

Ongoing Refinement And Optimization

Often, branding, rebranding, and brand strategy are thought of as projects or undertakings that are done once and then done again years down the road – that they aren’t ongoing or continuous processes.

My friend, who owns a highly-regarded branding agency, noted that it is often about once a decade that a lot of companies in the niche industries he serves do a rebrand.

They view it as a one-time event rather than an ongoing strategy or thing to measure, refine, and optimize. That’s a very different approach from search marketing.

By leveraging the insights, partnerships, and opportunities that search marketing and other digital marketing channels offer, branding can become more ongoing and more effective.

Not in the sense of rebranding a company every year, month, or week, but in the sense of being able to make refinements and updates to make it as goal-oriented and effective as possible over time.

Ability To See Implementation All The Way Through

This one is something I was a stickler about in the days that my agency was still doing branding.

It can be deflating, if not frustrating, to invest so much into a complete brand strategy over months and, ultimately, see it not be fully implemented or activated as intended.

In so many cases, the project ended, and even when my team was in charge of implementing the look and feel or messaging in certain places, it was handed off to others to carry forward.

We could find implementations that didn’t follow standards, missed assets, or content that broke the rules.

When search and brand work together, there’s an opportunity to ensure that, down to the keyword and display ad level, there’s a two-way street between search best practices and the brand strategy.

This is to make sure the implementation and activation of the unique aspects of how search is delivered to prospects and customers.

Bringing It All Together

While branding processes and teams might be far away from search tacticians, who are often at the bottom of the funnel driving conversions, and might not seem to have much in common, I contend there’s a big benefit to partnership.

Whether it is a connection to KPIs all the way through, access to data and research, ensuring full and proper implementation, or other factors I unpacked (and even more that I didn’t), in short, brands benefit overall.

We don’t get stuck in as many situations being considered a commodity. Sales teams can be teed up for success without competing on price. Brand affinity can start much sooner, enhancing lifetime value and customer loyalty, which impacts profitability and growth.

More Resources:


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Google Says Disavow Tool Not Part Of Normal Site Maintenance via @sejournal, @martinibuster

Google’s John Mueller, at the Search Central NYC event, answered a question about what to do about toxic backlinks and responded with an overview of what goes on inside Google with links in order to explain why the disavow tool is something only sites that are guilty of something and know it should be using.

What To Do If Disavow Tool Is No Longer Available?

Google has a tool that allows publishers and SEOs to disavow links, which is basically telling Google to not count certain links. The purpose of the disavow tool arose after Google penalized countless thousands of sites for buying links. This was during the Penguin update in 2012. Getting rid of paid links was a difficult thing and some link sellers were asking for payment for removing the links. SEOs raised the idea of a disavow tool to help them get rid of the links their clients and themselves purchased and after a time Google agreed to provide that tool for that one purpose: to remove paid links.

Someone submitted a question for John Mueller to answer, asking what should SEOs do if the disavow tool is no longer available, asking:

“How can we remove toxic backlinks?”

The phrase “toxic backlinks” is something that the SEO backlink removal services and tools invented as part of scaring people into buying their backlink data and tools. That’s not a phrase that Googlers used, it’s totally 100% invented by SEO tool companies.

Google’s John Mueller answered:

“So internally we don’t have a notion of toxic backlinks. We don’t have a notion of toxic backlinks internally.

So it’s not that you need to use this tool for that. It’s also not something where if you’re looking at the links to your website and you see random foreign links coming to your website, that’s not bad nor are they causing a problem.

For the most part, we work really hard to try to just ignore them. I would mostly use the disavow tool for situations where you’ve been actually buying links and you’ve got a manual link spam action and you need to clean that up. Then the Disavow tool kind of helps you to resolve that, but obviously you also need to stop buying links, otherwise that manual action is not going to go away.”

Disavowing Links Is Not Normal Site Maintenance

Mueller continued his answer by pointing out that using a disavow tool on a regular basis is not a normal thing to do as part of site maintenance.

He said:

“But that’s essentially like from my point of view, the disavow tool is not something that you need to do on a regular basis. It’s not a part of normal site maintenance. I would really only use that if you have a manual spam action.”

I know there are some people who are “victims” of bad inbound links and blame those links for their poor rankings. So they disavow the bad links and their rankings never improve. One would think that the failure of the disavow tool to fix their ranking problems would cause them to see if something else is the problem but some people are so convinced that their sites are perfect that considering their site is poorly optimized is not an option for them.

But all of the cases I’ve looked at where people say they’re victims of negative SEO, 100% of them have problems with their SEO or content issues. Google’s algorithms aren’t affected by random links, that’s just not how link ranking algorithms work.

Featured Image by Shutterstock/Krakenimages.com