Google Shows 3 Ways To Boost Digital Marketing With Google Trends via @sejournal, @martinibuster

Google’s Daniel Waisberg and Omri Weisman share three tips for improving both online and offline marketing strategies. They explain how to leverage Google Trends search data to make better decisions about products, optimize strategies, understand consumer behavior, and focus marketing efforts for a higher ROI.

Google offers three tips:

  1. How To Benchmark Against Competitors
  2. Analyzing Brand Awareness
  3. Forecasting Product Demand

How To Benchmark Against Competitors

Google’s Daniel Waisberg showed that one way to research competitors is to do a head-to-head comparison of search terms for your company versus competitors by entering your company name or domain name in one panel of the Google Trends and your competitor’s in the second one. He suggests selecting a topic from the “categories” drop down menu which will allow for more specific user intent segmentation, where a user is looking for results in a specific niche or topic. Waisberg comments that it’s okay to not choose a category if one doesn’t exist.

Although he doesn’t mention it, there’s an additional way to segment users by the type of search (web search, image search, Google shopping, and YouTube search). This is an option that’s available that can help see how people are searching (images, videos, etc.) in comparison to competitors.

Step 1: Choose A Category

Google Trends shows a trend line indicating how often users are searching for both company names. The trend line shows if a company is trending up over time, if it’s experiencing a downward trajectory or if customer demand is on a steady level. Spikes can be evidence of seasonality but sharp spikes could be a sign of a marketing effort or promotion paying off.

Waisberg encourages users to scroll down to inspect search trends by subregion, metro areas and cities. While Waisberg suggests it’s a way to determine demand for opening a store, the way I use the information is for determining geographical areas where demand is higher and focus online marketing effort there to maximize ROI. This can be done for link building, PPC, email, whatever you’re method is.

Step 2: Analyze Subregions

Daniel Waisberg begins his explanation at the 03:11 minute mark:

“Looking at the results, you can see how well your competitor is doing in comparison to you over time. …when you scroll down, you can compare how strong you are for each of the subregions, metro areas and cities available, and these could help you gather data when deciding where to open a new store.”

2. Analyzing Brand Awareness

Waisberg explains that Google Trends can be used to track brand awareness by filtering results over time to identify what people are saying about the brand. He recommends setting the time range for the past 30 or 90 days.

Related search terms that are rising or are top terms offer insights into how consumers are perceiving your brand, including what they’re associating the brand with. This same method can be applied to analyze YouTube search trends related to brand by selecting YouTube Search from the Categories drop down menu at the top of the Google Trends page.

Google’s Omri Weisman explains from the 4:37 minute mark:

“To monitor what people are saying about you, you should check your brand name using Google Trends… Scroll down the page to see the related search terms card. Go through both the rising and the top terms on the list and make sure to paginate using the arrows below the table. This will give you a good idea of the terms people are using in connection with your brand.”

3. Forecasting Product Demand

An easy way to predict product demand with Google Trends is identify which products are searched for the most and then zero in on how demand changes with time. It’s suggested to pay attention to seasonal trends and adjust product inventory accordingly.

Waisberg explains how to do it at about the 6:44 minute mark by researching cheese. In his example he notes the seasonality but then takes the analysis another step forward by scrolling down and exploring related terms that can suggest related products with higher search demand that you may want to begin selling or reviewing.

He explains:

“If you Scroll down, you’ll find the related topics and the related queries cards. Here you can check the top topics to find ideas on what has already gathered a lot of interest and also the rising topics to get a sense on what is getting more attention lately. Don’t forget to look further through the pagination.

Notice how charcuterie appears on both lists. Add this term to your analysis. You’ll see that it has significantly more interest than cheese platters. Maybe you should consider analyzing this term further and potentially diversifying.”

Google Trends For Successful Online Marketing

Google’s Daniel Waisberg and Omri Weisman demonstrated how to use Google Trends to improve online marketing, competitor research, brand research, and better understanding customer preference and behavior. It can also be used to identify which products to focus on and at what times of year. These tips are useful for both online and offline marketing strategies.

Watch the Google Search Central video:

Google Trends for Marketing & Sales

Featured Image by Shutterstock/MR Gao

Legal SEO Conference: The World’s First SEO Event Tailored Exclusively For Lawyers

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

Date: December 6, 2024
Location: InterContinental Miami, Florida
Capacity: Only 150 spots available

The Legal SEO Conference is the first and only SEO event dedicated entirely to law firms and legal professionals. It offers a unique opportunity for lawyers to learn SEO strategies specifically designed to enhance their visibility on search engines like Google. With more legal services being sought online, ranking on Google’s first page has become critical for law firms seeking to grow their client base. This conference provides industry-specific SEO techniques that focus on driving more organic traffic, more leads, and ultimately more signed cases.

Why Attend A Legal SEO Conference?

Lawyers are often left behind in the SEO world, relying on generic agencies that don’t understand the legal industry’s nuances. The Legal SEO Conference brings together top SEO experts who specialize in helping law firms dominate search engine results. This is your chance to learn proven strategies from experts who have helped law firms generate millions in revenue through targeted SEO efforts.

  • Exclusive to Lawyers: The only SEO conference designed specifically for legal professionals.
  • Actionable SEO Strategies: Learn how to rank your law firm’s website at the top of Google and keep it there.
  • Unlock Growth: Drive more organic traffic, which means more leads and more high-value cases—without spending a dime on ads.

Key Benefits

  • Proven SEO Strategies for Lawyers: Find out the SEO secrets your competitors wish they knew.
  • Maximize Organic Traffic: Transform your website into a client-generating machine by ranking higher in search results.
  • Practical, Actionable Tips: Learn how to leverage local SEO, build topical authority, and dominate SERPs (Search Engine Results Pages).
  • Networking: Mingle with the top legal SEO experts and build connections that can grow your referral network.

Featured Speakers

The Legal SEO Conference features a lineup of industry leaders who have proven success in helping law firms rank higher and attract more clients:

1. Jason Hennessey (Hennessey Digital)

Topic: Mastering SEO for Law Firms: How to Get Your Firm to the Top of Google

2. Ryan Stewart (Webris)

Topic: The Law Firm Lead Generation Funnel: Get More Clients in 90 Days

3. Maria Monroy (LawRank)

Topic: How to Measure Your Organic and Local SEO to Ensure Success

4. Patrick Stox (Ahrefs)

Topic: Evidence-Based SEO: How Law Firms Can Use Data to Grow

5. Seth Price (BluShark Digital)

Topic: Cracking The Three-Pack: Local Search Mastery for Law Firms

6. Victor Karpenko (SeoProfy)

Topic: Data Driven SEO for Law Firms: How to ensure you get rankings and grow year over year

7. Bill Hartzer (Hartzer Consulting)

Topic: Legal SEO and Domain Name Optimization

8. Rachel Hernandez (The HOTH)

Topic: How Law Firms Can Leverage Topical Authority to Dominate the SERPs

9. Kasra Dash (KasraDash.com)

Topic: From Backlinks to Big Wins: Authority Building for Legal SEO

10. Kristaps Brencans (On The Map)

Topic: Mapping Your Firm’s Next Strategic Location with SEO

Who Should Attend?

  • Lawyers: Solo practitioners or partners looking to dominate their local market.
  • Law Firm Marketing Directors: Those aiming to build a robust digital marketing strategy for their firm.
  • Agencies Specializing in Legal Marketing: Discover the latest SEO trends and strategies tailored to law firms.

Ticket Options

  • Standard Ticket ($999):
    Includes access to all sessions, networking events, roundtable Q&As, and the afterparty.
  • VIP Ticket ($1499):
    Includes everything in the standard package, plus front-row seating, private dinner with the speakers, and exclusive VIP networking.

Why This Event Is A Must For Lawyers

SEO is often an untapped goldmine for law firms. Many firms are still spending thousands on ads or SEO agencies without tangible results. Legal SEO Conference provides real-world strategies that lawyers can use to drive more traffic, attract more clients, and outperform competitors on Google.

  • No more guessing: Learn what top law firms are doing to generate millions in revenue through SEO.
  • Cut your ad spend: Achieve lasting visibility without the need for paid ads.
  • Stand out from competitors: 9 out of 10 law firms lose traffic to competitors—make sure you’re not one of them.

How This Conference Will Benefit You

Better SEO = More Traffic = More Signed Cases

This event is your ticket to growth. Imagine ranking #1 for “lawyer + [your city]” and watching your phone ring off the hook with potential clients. The Legal SEO Conference gives you the exact roadmap to make this a reality.

Conclusion: Secure Your Spot Today

The Legal SEO Conference is a game-changing event for any law firm looking to dominate Google search results and attract more clients. With only 150 spots available, this event will sell out quickly. Don’t miss the chance to learn from the world’s top legal SEO experts and transform your law firm’s online presence.

Visit the Legal SEO Conference website to register and take control of your law firm’s SEO strategy.

This event is designed specifically to help lawyers not only rank on Google but also stay ahead of future search engine changes—especially as Google moves toward AI-driven algorithms.


Image Credits

Featured Image: Image by Legal SEO Conference. Used with permission.

Google Faces Potential Breakup: How DOJ Ruling Could Reshape Search via @sejournal, @MattGSouthern

In a landmark antitrust case, the U.S. Department of Justice (DOJ) has outlined potential remedies to address Google’s monopoly in search and search advertising.

While “breaking up Google” is a popular headline phrase, the reality is more nuanced.

This article clarifies the DOJ’s proposals, Google’s response, and what it all could mean for the future of search.

The DOJ’s Case & Proposed Remedies

The DOJ’s argument centers on Google’s alleged abuse of its position in search and search advertising.

According to the court’s ruling in August, Google has illegally maintained monopolies in these areas for over a decade.

The DOJ’s proposed remedies aim to address four key areas:

1. Search Distribution & Revenue Sharing

  • Limiting or prohibiting Google’s exclusive search distribution deals
  • Ending or modifying revenue-sharing agreements that incentivize partners to use Google search
  • Potentially implementing choice screens to allow users to select their default search engine

2. Accumulation & Use of Data

  • Requiring Google to share its search index, data feeds, and models with competitors
  • Prohibiting Google from using data that can’t be shared due to privacy concerns
  • Reducing barriers for rivals to index and retain search data

3. Generation & Display of Search Results

  • Addressing Google’s leverage in emerging areas like AI-assisted search
  • Allowing websites to opt out of Google’s AI training or features
  • Ensuring fair access to web content for rival search engines

4. Advertising Scale & Monetization

  • Creating more competition in search advertising
  • Potentially requiring Google to license or syndicate its ad feed independently of search results
  • Increasing transparency in ad auctions and monetization

As it relates to data sharing. The DOJ filing states:

“Plaintiffs are considering remedies that will offset this advantage and strengthen competition by requiring, among other things, Google to make available, in whole or through an API, (1) the indexes, data, feeds, and models used for Google search, including those used in AI-assisted search features, and (2) Google search results, features, and ads, including the underlying ranking signals, especially on mobile.”

Google’s Response & Concerns

Google has vehemently opposed these proposals, arguing that they go beyond the scope of the case and could harm innovation and user experience.

The company’s key points include:

  • The proposals risk user privacy and security by forcing data sharing
  • Breaking up products like Chrome or Android could disrupt many businesses and developers
  • Changes to the ad market could make online ads less valuable for publishers and merchants
  • Restrictions on search promotion could create friction for users and harm Google’s partners

Google plans to appeal the ruling and argues that search competition is thriving, especially with the emergence of AI-powered alternatives.

Kent Walker, Google’s president of global affairs, stated:

“This decision recognizes that Google offers the best search engine, but concludes that we shouldn’t be allowed to make it easily available.”

Lee-Anne Mulholland, Google’s vice president of regulatory affairs, wrote in a blog post:

“The government seems to be pursuing a sweeping agenda that will impact numerous industries and products, with significant unintended consequences for consumers, businesses, and American competitiveness.”

Implications For Consumers

For consumers, the potential changes could mean:

  • More choice in search engines across devices
    • Counterpoint: Splitting Google’s ecosystem might disrupt seamless cross-device experiences.
  • Potentially different search experiences as new players enter the market
    • Counterpoint: Users may need to get used to new search UIs or algorithms.
  • Increased privacy controls as data practices are scrutinized
    • Counterpoint: Increased data sharing raises privacy concerns across platforms.
  • Possible changes in ad targeting and relevance

Implications For Businesses

For businesses and marketers, the impact could include:

  • A more diverse search ecosystem to optimize for
    • Counterpoint: Managing SEO and PPC across multiple engines could be more challenging.
  • New advertising platforms and models
    • Counterpoint: New tools, training, or staff may be needed.
  • Potential shifts in the value and cost of search advertising
    • Counterpoint: A fragmented ad market might increase spend for the same reach.

The AI Factor & Future of Search

The DOJ’s proposals address emerging technologies like AI, recognizing its growing importance in search.

This could have the following implications:

  • Lowering barriers for new entrants to compete in AI-driven search
  • Potentially fragmenting the development of search AI across multiple companies
  • Changes in how search results are generated and displayed, including AI-powered features

The filing notes:

“Google’s ability to leverage its monopoly power to feed artificial intelligence features is an emerging barrier to competition and risks further entrenching Google’s dominance.”

Industry-wide Impact

The case has implications beyond just Google:

  • Other tech giants may face increased scrutiny and similar antitrust actions
  • The broader tech industry may see shifts in how platform businesses operate
  • Venture capital and innovation in search-related technologies could see a resurgence

Legal & Regulatory Landscape

This case is part of a broader trend of increased antitrust scrutiny of tech giants:

  • Similar cases are proceeding against other major tech companies
  • The outcome could influence future tech regulation globally
  • It may set precedents for how monopolies are defined and addressed in the digital age

Looking Ahead

The DOJ’s current proposals are preliminary, with more detailed remedies expected in November and March.

The case will likely face appeals and could take years to resolve fully.

As stated in the filing:

“Plaintiffs will continue to engage with market participants, conduct discovery, and ultimately, provide the Court with a further refined Proposed Final Judgement in November 2024 and then, in accordance with the Court’s Order, a Revised Proposed Final Judgment in March 2025.”

Key questions for the future include:

  • How will the balance between competition and innovation be struck?
  • Can breaking up or restricting Google lead to more search competition?
  • How will these changes affect the global competitiveness of U.S. tech companies?

For search professionals, marketers, and businesses relying on search, staying informed and adaptable will be vital.

As this case progresses, it will undoubtedly shape the future of search, digital advertising, and the broader tech industry.

Whether these changes will truly “break up” Google or simply reshape its role in the digital ecosystem remains to be seen, but the impact will likely be felt for years to come.


Featured Image: Sergei Elagin/Shutterstock

Google: 5 Ways DOJ Proposals Harm Business and Consumers via @sejournal, @martinibuster

Google responded to the U.S. Department of Justice (DOJ) antitrust proposals for breaking up the company to address its dominance in search and online advertising, asserting that the remedies will harm user security, raise costs for consumers across industries, and stifle AI innovation.

Google’s response presented three arguments on why the DOJ proposals may backfire on consumers and disrupt innovation across industries. They also made two points about search and advertising that challenge widely held opinions.

Three Reasons Why DOJ Proposals May Harm Innovation

Google makes three arguments about the DOJ proposals hat outline how they might cause harm to consumers and lead to a decrease in innovation.

1. Privacy And Security Risks

One of the DOJ’s proposals is for Google to share its search query, click and search data with competitors. Google’s response asserts that sharing that information with competitors will create a privacy and security risks for users because search queries can contain sensitive and highly personal information that could compromise users security by increasing the likelihood that bad actors can access the information.

Google’s response cited a New York Times article from 2006 that documents how a data breach at AOL showed how a user’s search data reveals personal data despite that their actual identities are hidden. The reporters were able to use search queries to track down a 62 year old widow in Georgia.

The New York Times reported:

“It did not take much investigating to follow that data trail to Thelma Arnold, a 62-year-old widow who lives in Lilburn, Ga., frequently researches her friends’ medical ailments and loves her three dogs. “Those are my searches,” she said, after a reporter read part of the list to her.

AOL removed the search data from its site over the weekend and apologized for its release, saying it was an unauthorized move by a team that had hoped it would benefit academic researchers.”

2. Risk Of Stifling AI Innovation

The current boom in AI is largely due to many of Google’s discoveries that were subsequently open sourced, none more profound than transformer technology which was invented and open sourced in 2017. By open-sourcing this innovation, Google laid the foundation for generative AI models like ChatGPT and many other AI applications that rely on transformers today.

Google claims that the remedies the DOJ seeks will “hold back” innovation because the industry itself is at its infancy, is highly competitive and there are no monopolies needing a remedy to fix.

The response asserts:

“There are enormous risks to the government putting its thumb on the scale of this vital industry — skewing investment, distorting incentives, hobbling emerging business models — all at precisely the moment that we need to encourage investment, new business models, and American technological leadership.”

3. DOJ Proposals Will Negatively Impact Many Industries

Google has invested billions of dollars to create, maintain and improve both Android and Chrome and open source the technology, allowing multiple industries and businesses to grow around both technologies.

Android is an open source operating system for mobile phones that has become the global leader because it’s open source and allows mobile phone technology to become accessible to billions around the world at reasonable prices. Chrome browser is another open source technology that serves as the foundation for other competing browsers.

Both Android and Chrome underpin multiple technologies and industries from televisions, fitness devices, automobile devices, laptops and app ecosystems.

Google claims that the DOJ’s proposal to split Android from Google would cause a decrease in investment in the technology and raise the cost of all the devices that currently depend on Android and Chrome.

Two Claims That Challenge Assumptions About Search And PPC

Google defends its dominance in advertising and search by making claims that may contradict commonly held assumptions and challenge businesses to rethink what a disruption in both.

1. Restrictions On Search Distribution

Google challenges restrictions on partnerships with other platforms that allow Google Search to be the default search engine. Google claims that these restrictions are overbroad and may result in less income for open source innovators like Mozilla and cause an increase in costs to consumers for products like mobile phones.

2. Proposals For Online Advertising Will Harm Consumers And Businesses

Google claims that changes to their online advertising business will make it less useful for businesses and ultimately negatively impact consumers. They also claim that changes to the current system will negatively impact small publishers.

They write:

“Google’s innovative ads system has leveled the playing field for small businesses and publishers. Small advertisers can reach customers the same way as large ones do — with no minimum spend and no upfront commitments. And this ads system helps small websites earn revenue from online advertising, just like large publishers.”

Both claims challenge many popularly held assumptions about Google’s dominance in search and online advertising.

Google At A Crossroad

The DOJ is presenting remedies for what they claim are monopolistic practices that have harmed competition. Google rebuts those claims by offering examples of how their innovations have created opportunities to grow new industries, create competition and decrease costs for consumers.

Read Google’s response here:

DOJ’s radical and sweeping proposals risk hurting consumers, businesses, and developers

Featured Image by Shutterstock/Longfin Media

The 4 Principles Of Effective Retail Marketing via @sejournal, @jasonhennessey

From window displays and newspaper ads, to sidewalk sandwich boards and pop-up events, there are many ways to market a retail store.

Whether your goal is to draw in casual passersby or increase online sales, having a well-planned (and well-executed) marketing strategy is key to wooing more customers.

But before you get fancy with flashy ads or influencer partnerships, it’s best to start with the fundamentals. That’s what makes this guide essential reading for any savvy retail business owner.

Master the four pillars of retail marketing – often referred to as “the 4 Ps”  – and you’re well on your way to having an iron-clad marketing plan.

What Is Retail Marketing?

Retail marketing refers to the various activities, whether in-store, locally, or online, that are used to attract customers to a retail business.

While the exact tactics may vary, retail marketing at its core is about establishing a brand identity, promoting your products, and engaging with potential customers (often across multiple channels).

Marketing as a whole has changed over the years, evolving from traditional media (print ads, flyers, in-person networking, etc.) to more technologically advanced methods (social media, online ads, email marketing, etc.), but the fundamentals have remained mostly the same.

That said, it’s important to know that retail marketing differs from other types of marketing.

How Retail Marketing Differs From Other Types Of Marketing

Like all types of marketing, retail marketing is all about connecting the product or service with the consumer. But retail marketing is different from other types of marketing – like Business to Business (B2B) marketing or service marketing – in a few distinct ways:

  • Customer Needs: Retail marketing focuses on individual consumers (B2C), whereas B2B marketing targets other businesses. Retail customers are typically driven by personal needs, while B2B decisions are often based on business requirements, return on investment (ROI), and long-term objectives.
  • Sales Cycle: Retail marketing usually involves a shorter sales cycle, with consumers making relatively faster purchasing decisions than B2B buyers.
  • Tangible Products: Retail marketing primarily deals with tangible products that consumers can see and touch, whereas other types of marketing (B2B or Service) often deal with intangible offerings like consulting or software.
  • Physical Presence: ​​Retail marketing often (but not always) involves a physical presence, usually via a brick-and-mortar store. Digital marketing, while it can support retail efforts, primarily operates online using tools like social media and email to reach customers.

Retail marketing is different from other types of marketing in its focus on the close interaction between the business and the consumer at the point of sale.

Many retail business owners understand that the success of their marketing efforts often comes down to face-to-face interactions and personalized experiences.

What Are The 4 Principles Of Retail Marketing?

When it comes to something as broad as “marketing,” simplicity is key. The essential elements of retain marketing revolve around four primary pillars:

  • Product.
  • Price.
  • Place.
  • Promotion.

We’ll refer to these as “the 4 Ps” throughout this article. They have even been known to extend beyond to include “Presentation” and “Personnel.” But for our purposes, we’ll stick to the primary four.

1. Product: What You Sell

The first pillar, product, pertains to the actual item or service you offer customers. This might involve a single category of products (e.g., novelty candles) or, most often, a variety of products (e.g., candles, home decor, furniture, etc.) offered by your brand.

Before you market your product(s), you need to understand it. This means not only its physical attributes and design but also the value it provides to customers. This also includes its material quality, branding, and even post-sale support resources.

Your product (again, it can pertain to a category of products) should speak to the needs, challenges, or interests of your prospective customers. You must fundamentally understand what it is that you sell and how that provides a benefit to customers.

For example:

  • If you sell office chairs, your product could address the challenge of reducing back pain or increasing comfort for people who spend long hours at a desk.
  • If you sell natural skincare products, your product could appeal to customers interested in natural ingredients and being environmentally conscious.
  • If you sell durable running shoes, your product could cater to athletes looking for footwear that lasts long, provides support, and prevents injuries.
  • If you sell gourmet coffee, your product might connect with coffee enthusiasts looking for unique flavors, high-quality beans, and a connection to Fair Trade growers.

The key is to gain a deeper understanding of your product’s connection to your customers. Ask yourself: What do they need? What are their challenges? How does your product address a need or a problem?

Try This To Better Understand Your Product

Every retail business owner can benefit from some practice in examining their products and how they might appeal to the needs of their customers.

If you aren’t crystal clear on the “why” behind your product(s), start with this activity:

  1. Workshop: Gather your team (sales, marketing, and service) to identify the key features of your most important products. Off the cuff, what are the primary features that stand out?
  2. Map: Then, outline the customer journey, from the time someone first discovers your product to the after-sale experience. Discuss what points of interaction a customer is likely to have during this process (e.g., entering your store, being welcomed by a sales rep, trying on clothes, weighing pricing options, etc.)
  3. Empathize: At each touchpoint, put yourself in the customer’s shoes. How might the customer feel? What else might they need?
  4. Apply: Based on your customer journey map, consider any improvements to made to your product or process. Could merchandise be laid out differently? How might you enhance the customer experience? Could post-sale support be improved?

Refining your product is a continuous process, influenced often by customer feedback and actual sales numbers.

Train your team on how they should communicate about your product, associate products with related offerings (cross-selling), and answer customers’ questions to direct them to the most appropriate product (read: solution).

2. Price: What People Pay For The Product

The second pillar, price, refers to the amount of money customers are willing to pay for your product.

This is more than just the number you put on the price tag. It is a representation of your product’s perceived value and the benefit it provides to your customers.

Some things to consider are your own brand’s positioning in your market, your competitors’ pricing, and the quality of materials used to create the product.

For example, if your product is of superior quality, has unique features, and conveys a sense of luxury, premium pricing may be the way to go.

On the other hand, if you’re in a saturated market and can’t outshine your competitors based on quality, you could undercut them on price.

The objective is to find that sweet spot – where your pricing generates a profit but also feels appropriate based on your customer’s perception of the product’s value.

Developing Your Pricing Strategy

Not sure how to price your products? Pricing is both an art and a science.

Here are some steps to follow to develop a profitable yet appropriate pricing strategy:

  1. Research the Competition: Scope out what your competitors are charging for similar products. Consider the materials used to create your product relative to your competitors. Determine where your product stands in terms of quality, features, convenience, and brand positioning.
  2. Consider Your Audience: As stated, pricing isn’t just about quality and materials, but also customer perception. Think about who your target customer is, what they need, and what they’re willing to spend. Consider their income level, spending habits, location, and desire/necessity for the product.
  3. Count the Costs: Figure out how much it costs for you to acquire, market, and sell the product. How many products do you need to sell to turn a profit? Make sure all the associated costs are covered by the price, plus a healthy margin.
  4. Edit and Adjust: Over time, you might need to test different pricing models to determine what resonates with your customers and still turns a profit. When you apply discounts or bundled pricing, observe how these changes impact sales. Monitor your sales data and customer behavior to adjust your pricing strategy accordingly.

Simple Retail Pricing Formula

Here’s a simple retail pricing formula to help you:

Retail Price = Cost of Goods Sold (COGS) / (1 − Desired Profit Margin )

Where:

  • Cost of Goods Sold (COGS): The total cost of producing or purchasing the product, including materials, labor, shipping, marketing, etc.
  • Desired Profit Margin: The percentage of profit you want to make on the product, expressed as a decimal.

Your prices aren’t set in stone. Prices often fluctuate due to market conditions, operational costs, customer behavior, and many other factors.

The key is to effectively communicate the value behind your pricing – and train your team to understand your product’s offerings – so your customers feel confident that the product is worth the price.

3. Place: Where You Sell The Product

The third pillar of retail marketing, place, refers to the channels through which you advertise and sell your product. This might include your physical storefront, but also includes online marketplaces, an ecommerce website, digital marketing channels, pop-up events, partnerships, and more.

When considering a place, think about where prospective customers are most likely to look for products like yours. Are they scrolling social media? Window shopping while on vacation? Searching blogs for product reviews? Put yourself in their shoes when it comes to searching for products.

For example:

  • If you sell luxury handbags, your place might be a high-end boutique located in the prime shopping district.
  • If you sell fresh produce, your place could be a local farmers’ market on the weekends.
  • If you sell handmade gifts, your place could be a mix of local craft fairs, pop-up shops, and online marketplaces like Etsy.

The Place(s) To Sell For Retail

When it comes to place, the key is to ensure that your products are available where your customers are looking for them. This might include several different channels, in fact.

While you don’t need to (and probably shouldn’t) attempt to sell in all of these places, here are the most common sales channels for retail:

  • Brick-and-mortar stores.
  • Ecommerce website.
  • Online marketplaces (like Amazon, eBay, Etsy, or Faire).
  • Social media (Instagram, Facebook, Pinterest, etc.).
  • Pop-up shops.
  • Mobile apps (e.g., Shopify App, Etsy App, InstaCart, etc.).
  • Wholesale (selling products in bulk to other retailers).
  • Direct sales (via parties, door-to-door sales, etc.).

It’s best to focus on one to three channels where your target customers will most likely spend their time. This helps ensure that your marketing budget is allocated to those channels most likely to yield the best return.

4. Promotion: How You Advertise The Product

The fourth pillar, promotion, is all about connecting with your target customers and making them more aware of your brand and products.

Making sales isn’t just about being visible, but also about using marketing strategically to draw customers in and convince them to buy from you!

Rarely do people stumble upon a retail store online and immediately make a purchase. They might require multiple touchpoints to discover, research, compare, and finally purchase your product.

The length of this sales cycle can look different for different types of retail businesses, but the idea is the same: Make sure customers have the experience and information they need to make their purchase decision.

For example:

  • If you run a clothing store, a customer might first discover your brand through a social media ad, and then visit your website to browse your products. They might sign up for your newsletter to receive a discount code, check out reviews on your blog, and finally make a purchase.
  • If you sell electronics, your customers may initially see your new gadget on YouTube, visit your online store to compare specs, read customer reviews, and then make a purchase.
  • If you sell home decor, your potential buyers might find your post on Pinterest, visit your website and add a product to their cart, consult a friend, and finally decide to buy a product to complete their home aesthetic.

Obviously, there are many different channels and means of promoting your products. The channels and approach you use will vary depending on what you sell, who your customers are, and your budget.

Increase The Visibility Of Your Retail Business

Once you’ve determined where (place) you want to sell your products, it’s time to use those channels for promotion.

Using the examples listed in the previous section, here are a few ways to promote your retail business:

  • Brick-and-mortar store: Use eye-catching window displays and signage to draw in passersby. Host in-store events like product launches or workshops, and offer in-store discounts to incentivize customers.
  • Ecommerce website: Optimize your website for search engines to drive organic website visitors from Google. Use email marketing to keep customers engaged, send personalized offers, and offer product recommendations.
  • Online marketplace: Showcase your products on websites like Amazon, Faire, or Etsy. Optimize your product listings with high-quality images, detailed descriptions, features, and customer reviews. Consider running sponsored ads on the marketplace to increase product visibility.
  • Social media: Stay active online with engaging posts, videos, reels, and stories. Reply to customer comments and re-share happy customer reviews. Consider running social media ads to reach your target audience based on shopping behavior, demographics, location, etc.
  • Pop-up shop: Partner with other local businesses to attract more customers and foot traffic. Promote your pop-up or event on social media, via email, and through local community channels.
  • Mobile apps: Consider connecting your store with a third-party app like Shopify, Uber, or InstaCart. Entice customers to subscribe for access to special offers and discounts. Add delivery options to make shopping more convenient for your customers.
  • Wholesale: Partner with wholesalers or distributors to close more deals in bulk. Attend trade shows or industry events to showcase your products to potential retail partners.
  • Direct sales: Host product demonstrations or home parties to create a personalized shopping experience. Incentivize happy customers or other brands to become referral partners.
  • Paid ads: Use Google Ads, Meta Ads, LinkedIn Ads, etc. to reach target customers online. Consider implementing retargeting ads to re-engage visitors who have joined your email list but haven’t made a purchase.

Develop Your Retail Marketing Strategy

Your retail business is unique in the experience and products that it offers. But how do you make your store the obvious choice for potential customers?

With an effective retail marketing strategy, you’ll have everything you need to Price, Place, and Promote your Product, attracting more customers to you!

By focusing on the key pillars of product presentation, pricing strategies, distribution channels, and customer experience, you’ll create an environment that resonates with your ideal customers.

You can use a variety of channels – from in-store sales to ecommerce to social media – to promote your business and keep your sales strong.

Ultimately, the success of your retail business depends on your ability to connect with customers and communicate the value your brand has to offer.

Ready to master the 4 Ps? You got this!

More resources:


Featured Image: PeopleImages.com – Yuri A/Shutterstock

SEO Strategy Guide: 14 Must-Do Things to Prepare for 2025 via @sejournal, @Brian_W_Gareth

1. Find The Best Keywords For Your Site

Keywords are the foundation of SEO. Although content is king, keywords come first: they decide what sorts of users will find you in search. And since you want to be found by the right users, you’d better choose your keywords wisely.

What kind of keywords are good for your site?

  • They have a high search volume.

In non-SEO terms, it means lots of people type those keywords into search bars. A few hundred searches per month is good, but going higher is always encouraged. The more, the better.

  • They accurately capture search intent.

The relationship between a site owner and the users works like any business transaction: if you don’t offer them what they want, they won’t take it.

It’s like buying new shoes. If you are an adult with a size 7.5, you are not going to buy children’s shoes (not for yourself, anyway). And looking for generic shoes without anything specific in mind will take you forever to find what you really need.

Keywords are much the same. If you have an online store where you sell shoes, then a product page optimized for the keyword “shoes for women size 7.5” will do a much better job than one saying “shoes for women” or even just “shoes.” Bottom line: use keywords which describe precisely what your target audience wants to find.

  • They aren’t too competitive.

High competition for a keyword means many other sites are already ranking for it – and beating them all won’t be easy. But pretty much every keyword has a less competitive version. You just need to find and use it.

How do you find keywords which match all these criteria?

For search intent, you must know your target audience and their needs really well, and then use your best judgment. Other factors can be represented in numbers, and that’s where SEO tools come in, such as WebCEO’s Keyword Suggestions tool.

Screenshot from WebCEO, September 2024

Do you have any keyword ideas of your own? Enter them in the field and press Search. The tool will generate a table of related keywords, and then you just pick the most promising ones.

2. Optimize Your Pages With Keywords

Got your keywords? Great. Now, you need to make sure you are using them well.

For maximum effectiveness, your site pages must have keywords in these places:

  • Page URL
  • Page title
  • Meta description
  • H1-H4 headings (even better if you have a table of contents)
  • Throughout the text itself
  • Image filenames and ALT texts (for Google Image Search)
  • Video transcripts (if you have videos)

Scan your site pages with WebCEO’s Landing Page SEO tool to check the state of your keyword placement.

Screenshot from WebCEO, September 2024

If the tool finds any spaces that could be filled with keywords, do it and run another scan afterward. Instant improvement before your eyes!

One more thing: while having keywords is a must, avoid going overboard with them. One set of related keywords per page, or even one keyword per page is usually enough. Then weave the keywords into your text in a natural-sounding way. The gold standard for content is normally written text with helpful information.

3. Optimize Your Site Structure

It’s easy to turn your website into a poorly interlinked mess if you don’t know what you are doing.

When you do know what you are doing, you can help your most important pages receive a significant ranking boost – just by placing links correctly.

Your users will appreciate it, too. Who doesn’t like having all the content they need at their fingertips?

So here’s the recipe for an optimal site structure:

  • Page hierarchy. Picture a tree: the home page as the root and the destination pages (i.e. landing pages, product pages, blog articles) at the ends of the branches.
Screenshot from IncreMentors.com, January 2024
  • Topic clusters. It’s good practice to interlink pages that are dedicated to related topics.
  • Navigation bar. A bar at the top (less usually on the left side) of the screen, containing links to the most important site pages (e.g. home page, About Us, Contact Us).
  • Footer bar. Another bar at the bottom of a page, containing the same links from the navigation plus some others, at your discretion. Often, the footer bar contains social media links.
  • Breadcrumbs. Have you ever seen a bunch of links in a row, something like Home » Category » Subcategory » Page? They are called breadcrumbs and they help users keep track of where exactly they are on a website.
  • Three-click rule. An unspoken rule says: users should be able to get from any page A to any other page B in three clicks or fewer.

But to use links on your site like a pro, you want to know exactly how much authority your web pages have. And you can find out with the right SEO tools.

Scan your site with WebCEO’s Internal Links tool to get this information.

Screenshot from WebCEO, September 2024

This tool will reveal the pages with the highest amount of link juice. Proceed to share it with your most valuable pages just by linking to them from those high-authority pages.

This practice is at its most effective when the interlinked pages are related to each other through their topics – in other words, when they form a topic cluster. For example, a page about the best toothbrushes and another about the best toothpastes. It’s natural to link the two together, so a slight ranking boost to both is guaranteed.

4. Max Out Your Loading Speed

How long is too long? Five seconds may not seem like much, but if that’s how long it takes your page to load, most users will have already left.

People hate slow loading pages. People hate waiting in general. Whatever the place or the website, everybody wants to be serviced without delay.

And Google concurs. That’s why site loading speed is a major ranking factor, one you absolutely must not neglect.

And it’s one of the easiest ones to improve, too!

First, scan your site with WebCEO’s Speed Optimization tool.

Screenshot from WebCEO, September 2024

Not only it measures your pages’ loading speed and Core Web Vitals, it also offers constructive criticism by detecting what’s slowing your website down. Just follow the tips from the report and watch your website soar.

And remember to be on constant alert for any slow loading site pages. Set the Speed Optimization tool to send you regular reports, and if you find a page that’s dragging its feet, help it take off.

Screenshot from WebCEO, September 2024

5. Audit Your Site For Errors — And Fix Them

Nothing is perfect, not even the best website in the world. Things break, errors appear. But no self-respecting site owner will let things stay broken – that’s recipe for losing your customers!

You are better than that, too. Scan your site for errors now with WebCEO’s Technical Audit tool.

Screenshot from WebCEO, September 2024

This tool detects all kinds of hiccups, from broken links to more serious issues like server errors. Look upon your report and do not despair. It’s merely a list of fixable things.

You can solve those problems yourself or send the report to your site admin and let them handle it. After the job is done, rescan your site and generate another report showing the drop in errors. Your client will love it.

And yes, the Technical Audit tool can also send automated scheduled reports.

Screenshot from WebCEO, September 2024

6. Check The Quality Of Your Backlinks

What do you think is the number one ranking factor? Which one of them can give you the highest ranking boost?

The hint is right there in the heading above. That’s right: backlinks.

Links from other sites pointing to yours. If your site isn’t on Google’s #1 page, then lack of good backlinks is most likely why (assuming everything else is okay).

To see if you have a backlink problem, you need to check the current state of your link profile.

How can you do that? Scan your site with WebCEO’s Backlink Checker.

Screenshot from WebCEO, September 2024

What should you be looking for there?

  • Total backlinks and linking domains. The ratio between them can give you a rough idea about how many links each domain gives you on average. If that ratio is too high (e.g. 1000 backlinks per domain), then most of those backlinks are probably of poor quality.
  • Loss of backlinks. Sometimes sites stop linking to you. Maybe they found someone with better content than yours, maybe they took down the page with the backlink, or maybe even their site died. Whatever the reason, it can affect you rankings negatively.
  • Backlink texts. A good anchor text tells users what they are going to find on the other side of the link. If it fails to do that, fewer people will click on the link. Look for non-descriptive anchor texts (such as “click here”) that are keeping your rankings down – changing those texts can be just what you need.
  • Harmful backlinks. Spammy links from low-quality sites will do you no favor. If you have too many toxic backlinks, you will have to take them down.

Knowing the state of your link profile opens two different paths to improving it: link building and link detoxification. Let’s start with the former.

7. Revise And Expand Your Link Building

If you want to gain new backlinks and increase your site rankings, you’ll want to do some link building.

Which sites give the best backlinks?

  1. They are highly authoritative;
  2. They are topically related to your site.

And the closer they fit these criteria, the harder it will be to land your backlinks there. Those sites have high standards.

Link building is a whole challenge of its own – but there are plenty of good strategies for that.

To name but a few:

  • Have high-quality (and ideally unique) content on your site that others will want to link to;
  • Find broken links on other sites and offer those sites’ owners to link to your content instead;
  • Find unlinked mentions of your site or brand and offer to add a backlink;

And we strongly encourage you to try out even more. You may find some of the link building strategies easier or more effective than others.

What About Steps 8-14?

You bet it’s just the beginning. Do you want to take up even more SEO techniques to start preparing for 2025?

Good news: the full SEO guide is exclusively available to WebCEO users in PDF format, and it’s completely free. Download it now and get a head start on your competitors!

MarketMuse Acquired By Siteimprove via @sejournal, @martinibuster

Siteimprove announced the acquisition of MarketMuse, creating a comprehensive SaaS solution for content, accessibility, and SEO. This unifies vital marketing processes, benefiting customers of both organizations with a single, integrated platform.

MarketMuse

MarketMuse is a leading AI content planning software that helps users research, plan and execute a scaled content strategy. MarketMuse enables users to analyze their content to understand if it adequately covers a topic and can scale up to analyze the entire overall topic and create content briefs that take the guesswork out of creating a content calendar, enabling an organization to be able to consistently publish high quality authoritative content.

Siteimprove

Siteimprove is a platform for analyzing content for SEO and accessibility as well as continuous site monitoring for issues.

MarketMuse’s Jeff Coyle wrote:

“I’m excited to announce that MarketMuse has entered a definitive agreement to be acquired by Siteimprove, one of the biggest players in martech!

Siteimprove’s known far and wide for assembling accessibility, digital governance, analytics, SEO, and cross-channel advertising into one platform.

The acquisition spells transformation: Marketers of all stripes will be relieved of attending to the ever-changing technical details that shroud their work. It means that you will be better able to focus on transformative strategy rather than minutiae — and build better digital experiences that are meaningful, credible, and deliver results.”

The announcement states that MarketMuse customers will have a more unified approach to SEO, Accessibility and Content Optimization from one SaaS platform.

Read more:

Breaking News: MarketMuse Enters a Definitive Agreement to be Acquired by Siteimprove!

Featured Image by Shutterstock/Cast Of Thousands

Pro-Tech SEO Checklist For Agencies via @sejournal, @JetOctopus

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

When you’re taking on large-scale projects or working with extensive websites with hundreds to thousands of pages, you must leverage advanced technical SEO techniques.

Large websites come with challenges such as vast site architectures, dynamic content, and the higher-stakes competition in maintaining rankings.F

Leveling up your team’s technical SEO chops can help you establish a stronger value proposition, ensuring your clients gain that extra initial edge and choose to continue growing with your agency.

With this in mind, here’s a concise checklist covering the most important nuances of advanced technical SEO that can lead your clients to breakthrough performance in the SERPs.

1. Advanced Indexing And Crawl Control

Optimizing search engine crawl and indexation is foundational for effective technical SEO. Managing your crawl budget effectively begins with log file analysis—a technique that offers direct insights into how search engines interact with your clients’ websites.

A log file analysis helps:

  • Crawl Budget Management: Essential for ensuring Googlebot crawls and indexes your most valuable pages. Log file analysis indicates how many pages are crawled daily and whether important sections are missed.
  • Identifying Non-Crawled Pages: Identifies pages Googlebot misses due to issues like slow loading times, poor internal linking, or unappealing content, giving you clear insights into necessary improvements.
  • Understand Googlebot Behavior: Know what Googlebot actually crawls on a daily basis. Spikes in the crawl budget may signal technical issues on your website, like auto-generated thin, trashy pages, etc.

For this, integrating your SEO log analyzer data with GSC crawl data provides a complete view of site functionality and search engine interactions, enhancing your ability to guide crawler behavior.

Next, structure robots.txt to exclude search engines from admin areas or low-value add-ons while ensuring they can access and index primary content. Or, use the x-robots-tag—an HTTP header—to control indexing at a more granular level than robots.txt. It is particularly useful for non-HTML files like images or PDFs, where robot meta tags can’t be used.

For large websites, the approach with sitemaps is different from what you may have experienced. It almost doesn’t make sense to put millions of URLs in the sitemaps and want Googlebot to crawl them. Instead, do this: generate sitemaps with new products, categories, and pages on a daily basis. It will help Googlebot to find new content and make your sitemaps more efficient. For instance, DOM.RIA, a Ukrainian real estate marketplace, implemented a strategy that included creating mini-sitemaps for each city directory to improve indexing. This approach significantly increased Googlebot visits (by over 200% for key pages), leading to enhanced content visibility and click-through rates from the SERPs.

2. Site Architecture And Navigation

An intuitive site structure aids both users and search engine crawlers in navigating the site efficiently, enhancing overall SEO performance.

Specifically, a flat site architecture minimizes the number of clicks required to reach any page on your site, making it easier for search engines to crawl and index your content. It enhances site crawling efficiency by reducing the depth of important content. This improves the visibility of more pages in search engine indexes.

So, organize (or restructure) content with a shallow hierarchy, as this facilitates quicker access and better link equity distribution across your site.

For enterprise eCommerce clients, in particular, ensure proper handling of dynamic parameters in URLs. Use the rel=”canonical” link element to direct search engines to the original page, avoiding parameters that can result in duplicates.

Similarly, product variations (such as color and size) can create multiple URLs with similar content. It depends on the particular case, but the general rule is to apply the canonical tag to the preferred URL version of a product page to ensure all variations point back to the primary URL for indexing. If there is a significant number of such pages where Google ignores non-canonical content and puts them in the index, consider reviewing the canonicalization approach on the website.

3. JavaScript SEO

As you know, JavaScript (JS) is crucial in modern web development, enhancing site interactivity and functionality but introducing unique SEO challenges. Even if you’re not directly involved in development, ensuring effective JavaScript SEO is important.

The foremost consideration in this regard is critical rendering path optimization — wait, what’s that?

The critical rendering path refers to the sequence of steps the browser must take to convert HTML, CSS, and JavaScript into a rendered web page. Optimizing this path is crucial for improving the speed at which a page becomes visible to users.

Here’s how to do it:

  • Reduce the number and size of the resources required to display initial content.
  • Minify JavaScript files to reduce their load time.
  • Prioritize loading of above-the-fold content to speed up page render times.

If you’re dealing with Single Page Applications (SPAs), which rely on JavaScript for dynamic content loading, then you might need to fix:

  • Indexing Issues: Since content is loaded dynamically, search engines might see a blank page. Implement Server-Side Rendering (SSR) to ensure content is visible to search engines upon page load.
  • Navigation Problems: Traditional link-based navigation is often absent in SPAs, affecting how search engines understand site structure. Use the HTML5 History API to maintain traditional navigation functionality and improve crawlability.

Dynamic rendering is another technique useful for JavaScript-heavy sites, serving static HTML versions to search engines while presenting interactive versions to users.

However, ensure the browser console shows no errors, confirming the page is fully rendered with all necessary content. Also, verify that pages load quickly, ideally under a couple of seconds or so, to prevent user frustration (nobody likes a prolonged loading spinner) and reduce bounce rates.

Employ tools like GSC and Lighthouse to test and monitor your site’s rendering and web vitals performance. Regularly check that the rendered content matches what users see to ensure consistency in what search engines index.

4. Optimizing For Seasonal Trends

In the retail eCommerce space, seasonal trends influence consumer behavior and, consequently, search queries.

So, for these projects, you must routinely adapt your SEO strategies to stay on par with any product line updates.

Seasonal product variations—such as holiday-specific items or summer/winter editions—require special attention to ensure they are visible at the right times:

  • Timely Content Updates: Update product descriptions, meta tags, and content with seasonal keywords well before the season begins.
  • Seasonal Landing Pages: Create and optimize dedicated landing pages for seasonal products, ensuring they link appropriately to main product categories.
  • Ongoing Keyword Research: Continually perform keyword research to capture evolving consumer interests and optimize new product categories accordingly.
  • Technical SEO: Regularly check for crawl errors, ensure fast load times, and confirm that new pages are mobile-friendly and accessible.

On the flip side, managing discontinued products or outdated pages is just as crucial in maintaining site quality and retaining SEO value:

  • Evaluate Page Value: Conduct regular content audits to assess whether a page still holds value. If a page hasn’t received any traffic or a bot hit in the last half-year, it might not be worth keeping.
  • 301 Redirects: Use 301 redirects to transfer SEO value from outdated pages to relevant existing content.
  • Prune Content: Remove or consolidate underperforming content to focus authority on more impactful pages, enhancing site structure and UX.
  • Informative Out-of-Stock Pages: Keep pages for seasonally unavailable products informative, providing availability dates or links to related products.

Put simply, optimizing for seasonal trends means preparing for high-traffic periods and effectively managing the transition periods. This supports sustained SEO performance and a streamlined site experience for your clients.

5. Structured Data And Schema Implementation

Structured data via schema.org markup is a powerful tool to enhance a site’s SERP visibility and boost CTR through rich snippets.

Advanced schema markup goes beyond basic implementation, allowing you to present more detailed and specific information in SERPs. Consider these schema markups in your next client campaign:

  • Nested Schema: Utilize nested schema objects to provide more detailed information. For example, a Product schema can include nested Offer and Review schemas to display prices and reviews in search results.
  • Event Schema: For clients promoting events, implementing an Event schema with nested attributes like startDate, endDate, location, and offers can help in displaying rich snippets that show event details directly in SERPs.
  • FAQ and How-To Pages: Implement FAQPage and HowTo schemas on relevant pages to provide direct answers in search results.
  • Ratings, Reviews, and Prices: Implement the AggregateRating and Review schema on product pages to display star ratings and reviews. Use the Offer schema to specify pricing information, making the listings more attractive to potential buyers.
  • Availability Status: Use the ItemAvailability schema to display stock status, which can increase the urgency and likelihood of a purchase from SERPs.
  • Blog Enhancements: For content-heavy sites, use Article schema with properties like headline, author, and datePublished to enhance the display of blog articles.

Use Google’s Structured Data Testing Tool tool to test your pages’ structured data and identify any errors/warnings in your schema implementation. Also, use Google’s Rich Results Test to get feedback on how your page may appear in SERPs with the implemented structured data.

Conclusion

Considering their long SEO history and legacy, enterprise-level websites require more profound analysis from different perspectives.

We hope this mini checklist serves as a starting point for your team to take a fresh look into your new and existing customers and help deliver great SEO results.


Image Credits

Featured Image: Image by JetOctopus. Used with permission.

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

SEO Reinvented: Responding To Algorithm Shifts via @sejournal, @pageonepower

A lot has been said about the remarkable opportunities of Generative AI (GenAI), and some of us have also been extremely vocal about the risks associated with using this transformative technology.

The rise of GenAI presents significant challenges to the quality of information, public discourse, and the general open web. GenAI’s power to predict and personalize content can be easily misused to manipulate what we see and engage with.

Generative AI search engines are contributing to the overall noise, and rather than helping people find the truth and forge unbiased opinions, they tend (at least in their present implementation) to promote efficiency over accuracy, as highlighted by a recent study by Jigsaw, a unit inside Google.

Despite the hype surrounding SEO alligator parties and content goblins, our generation of marketers and SEO professionals has spent years working towards a more positive web environment.

We’ve shifted the marketing focus from manipulating audiences to empowering them with knowledge, ultimately aiding stakeholders in making informed decisions.

Creating an ontology for SEO is a community-led effort that aligns perfectly with our ongoing mission to shape, improve, and provide directions that truly advance human-GenAI interaction while preserving content creators and the Web as a shared resource for knowledge and prosperity.

Traditional SEO practices in the early 2010s focused heavily on keyword optimization. This included tactics like keyword stuffing, link schemes, and creating low-quality content primarily intended for search engines.

Since then, SEO has shifted towards a more user-centric approach. The Hummingbird update (2013) marked Google’s transition towards semantic search, which aims to understand the context and intent behind search queries rather than just the keywords.

This evolution has led SEO pros to focus more on topic clusters and entities than individual keywords, improving content’s ability to answer multiple user queries.

Entities are distinct items like people, places, or things that search engines recognize and understand as individual concepts.

By building content that clearly defines and relates to these entities, organizations can enhance their visibility across various platforms, not just traditional web searches.

This approach ties into the broader concept of entity-based SEO, which ensures that the entity associated with a business is well-defined across the web.

Fast-forward to today, static content that aims to rank well in search engines is constantly transformed and enriched by semantic data.

This involves structuring information so that it is understandable not only by humans but also by machines.

This transition is crucial for powering Knowledge Graphs and AI-generated responses like those offered by Google’s AIO or Bing Copilot, which provide users with direct answers and links to relevant websites.

As we move forward, the importance of aligning content with semantic search and entity understanding is growing.

Businesses are encouraged to structure their content in ways that are easily understood and indexed by search engines, thus improving visibility across multiple digital surfaces, such as voice and visual searches.

The use of AI and automation in these processes is increasing, enabling more dynamic interactions with content and personalized user experiences.

Whether we like it or not, AI will help us compare options faster, run deep searches effortlessly, and make transactions without passing through a website.

The future of SEO is promising. The SEO service market size is expected to grow from $75.13 billion in 2023 to $88.91 billion in 2024 – a staggering CAGR of 18.3% (according to The Business Research Company) – as it adapts to incorporate reliable AI and semantic technologies.

These innovations support the creation of more dynamic and responsive web environments that adeptly cater to user needs and behaviors.

However, the journey hasn’t been without challenges, especially in large enterprise settings. Implementing AI solutions that are both explainable and strategically aligned with organizational goals has been a complex task.

Building effective AI involves aggregating relevant data and transforming it into actionable knowledge.

This differentiates an organization from competitors using similar language models or development patterns, such as conversational agents or retrieval-augmented generation copilots and enhances its unique value proposition.

Imagine an ontology as a giant instruction manual for describing specific concepts. In the world of SEO, we deal with a lot of jargon, right? Topicality, backlinks, E-E-A-T, structured data – it can get confusing!

An ontology for SEO is a giant agreement on what all those terms mean. It’s like a shared dictionary, but even better. This dictionary doesn’t just define each word. It also shows how they all connect and work together. So, “queries” might be linked to “search intent” and “web pages,” explaining how they all play a role in a successful SEO strategy.

Imagine it as untangling a big knot of SEO practices and terms and turning them into a clear, organized map – that’s the power of ontology!

While Schema.org is a fantastic example of a linked vocabulary, it focuses on defining specific attributes of a web page, like content type or author. It excels at helping search engines understand our content. But what about how we craft links between web pages?

What about the query a web page is most often searched for? These are crucial elements in our day-to-day work, and an ontology can be a shared framework for them as well. Think of it as a playground where everyone is welcome to contribute on GitHub similar to how the Schema.org vocabulary evolves.

The idea of an ontology for SEO is to augment Schema.org with an extension similar to what GS1 did by creating its vocabulary. So, is it a database? A collaboration framework or what? It is all of these things together. SEO ontology operates like a collaborative knowledge base.

It acts as a central hub where everyone can contribute their expertise to define key SEO concepts and how they interrelate. By establishing a shared understanding of these concepts, the SEO community plays a crucial role in shaping the future of human-centered AI experiences.

SEOntology snapshot
Screenshot from WebVowl, August 2024SEOntology – a snapshot (see an interactive visualization here).

The Data Interoperability Challenge In The SEO Industry

Let’s start small and review the benefits of a shared ontology with a practical example (here is a slide taken from Emilija Gjorgjevska’s presentation at this year’s ZagrebSEOSummit)

Data Interoperability ChallengeImage from Emilija Gjorgjevska’s, ZagrebSEOSummit, August 2024

Imagine your colleague Valentina uses a Chrome extension to export data from Google Search Console (GSC) into Google Sheets. The data includes columns like “ID,” “Query,” and “Impressions” (as shown on the left). But Valentina collaborates with Jan, who’s building a business layer using the same GSC data. Here’s the problem: Jan uses a different naming convention (“UID,” “Name,” “Impressionen,” and “Klicks”).

Now, scale this scenario up. Imagine working with n different data partners, tools, and team members, all using various languages. The effort to constantly translate and reconcile these different naming conventions becomes a major obstacle to effective data collaboration.

Significant value gets lost in just trying to make everything work together. This is where an SEO ontology comes in. It is a common language, providing a shared name for the same concept across different tools, partners, and languages.

By eliminating the need for constant translation and reconciliation, an SEO ontology streamlines data collaboration and unlocks the true value of your data.

The Genesis Of SEOntology

In the last year, we have witnessed the proliferation of AI Agents and the wide adoption of Retrieval Augmented Generation (RAG) in all its different forms (Modular, Graph RAG, and so on).

RAG represents an important leap forward in AI technology, addressing a key limitation of traditional large language models (LLMs) by letting them access external knowledge.

Traditionally, LLMs are like libraries with one book – limited by their training data. RAG unlocks a vast network of resources, allowing LLMs to provide more comprehensive and accurate responses.

RAGs improve factual accuracy, and context understanding, potentially reducing bias. While promising, RAG faces challenges in data security, accuracy, scalability, and integration, especially in the enterprise sector.

For successful implementation, RAG requires high-quality, structured data that can be easily accessed and scaled.

We’ve been among the first to experiment with AI Agents and RAG powered by the Knowledge Graph in the context of content creation and SEO automation.

Agent WordLiftScreenshot from Agent WordLift, August 2023

Knowledge Graphs (KGs) Are Indeed Gaining Momentum In RAG Development

Microsoft’s GraphRAG and solutions like LlamaIndex demonstrate this. Baseline RAG struggles to connect information across disparate sources, hindering tasks requiring a holistic understanding of large datasets.

KG-powered RAG approaches like the one offered by LlamaIndex in conjunction with WordLift address this by creating a knowledge graph from website data and using it alongside the LLM to improve response accuracy, particularly for complex questions.

LlamaIndex in conjunction with WordLiftImage from author, August 2024

We have tested workflows with clients in different verticals for over a year.

From keyword research for large editorial teams to the generation of question and answers for ecommerce websites, from content bucketing to drafting the outline of a newsletter or revamping existing articles, we’ve been testing different strategies and learned a few things along the way:

1. RAG Is Overhyped

It is simply one of many development patterns that achieve a goal of higher complexity. A RAG (or Graph RAG) is meant to help you save time finding an answer. It’s brilliant but doesn’t solve any marketing tasks a team must handle daily. You need to focus on the data and the data model.

While there are good RAGs and bad RAGs, the key differentiation is often represented by the “R” part of the equation: the Retrieval. Primarily, the retrieval differentiates a fancy demo from a real-world application, and behind a good RAG, there is always good data. Data, though, is not just any type of data (or graph data).

It is built around a coherent data model that makes sense for your use case. If you build a search engine for wines, you need to get the best dataset and model the data around the features a user will rely on when looking for information.

So, data is important, but the data model is even more important. If you are building an AI Agent that has to do things in your marketing ecosystem, you must model the data accordingly. You want to represent the essence of web pages and content assets.

Only some data vs Good dataImage from author, August 2024

2. Not Everyone Is Great At Prompting

Expressing a task in written form is hard. Prompt engineering is going at full speed towards automation (here is my article on going from prompting to prompt programming for SEO) as only a few experts can write the prompt that brings us to the expected outcome.

This poses several challenges for the design of the user experience of autonomous agents. Jakon Nielsen has been very vocal about the negative impact of prompting on the usability of AI applications:

“One major usability downside is that users must be highly articulate to write the required prose text for the prompts.”

Even in rich Western countries, statistics provided by Nielsen tell us that only 10% of the population can fully utilize AI! 

Simple Prompt Using Chain-of-Thought (CoT) More Sophisticated Prompt Combining Graph-of-Thought (GoT) and Chain-of-Knowledge (CoK)
“Explain step-by-step how to calculate the area of a circle with a radius of 5 units.” “Using the Graph-of-Thought (GoT) and Chain-of-Knowledge (CoK) techniques, provide a comprehensive explanation of how to calculate the area of a circle with a radius of 5 units. Your response should: Start with a GoT diagram that visually represents the key concepts and their relationships, including: Circle Radius Area Pi (π) Formula for circle area Follow the GoT diagram with a CoK breakdown that: a) Defines each concept in the diagram b) Explains the relationships between these concepts c) Provides the historical context for the development of the circle area formula Present a step-by-step calculation process, including: a) Stating the formula for the area of a circle b) Explaining the role of each component in the formula c) Showing the substitution of values d) Performing the calculation e) Rounding the result to an appropriate number of decimal places Conclude with practical applications of this calculation in real-world scenarios. Throughout your explanation, ensure that each step logically follows the previous one, creating a clear chain of reasoning from basic concepts to the final result.” This improved prompt incorporates GoT by requesting a visual representation of the concepts and their relationships. It also employs CoK by asking for definitions, historical context, and connections between ideas. The step-by-step breakdown and real-world applications further enhance the depth and practicality of the explanation.”

3. You Shall Build Workflows To Guide The User

The lesson learned is that we must build detailed standard operating procedures (SOP) and written protocols that outline the steps and processes to ensure consistency, quality, and efficiency in executing particular optimization tasks.

We can see empirical evidence of the rise of prompt libraries like the one offered to users of Anthropic models or the incredible success of projects like AIPRM.

In reality, we learned that what creates business value is a series of ci steps that help the user translate the context he/she is navigating in into a consistent task definition.

We can start to envision marketing tasks like conducting keyword research as a Standard Operating Procedure that can guide the user across multiple steps (here is how we intend the SOP for keyword discovery using Agent WordLift)

4. The Great Shift To Just-in-Time UX 

In traditional UX design, information is pre-determined and can be organized in hierarchies, taxonomies, and pre-defined UI patterns. As AI becomes the interface to the complex world of information, we’re witnessing a paradigm shift.

UI topologies tend to disappear, and the interaction between humans and AI remains predominantly dialogic. Just-in-time assisted workflows can help the user contextualize and improve a workflow.

  • You need to think in terms of business value creation, focus on the user’s interactive journey, and facilitate the interaction by creating a UX on the fly. Taxonomies remain a strategic asset, but they operate behind the scenes as the user is teleported from one task to another, as recently brilliantly described by Yannis Paniaras from Microsoft.
The Shift to Just-In-Time UX: How AI is Reshaping User Experiences”Image from “The Shift to Just-In-Time UX: How AI is Reshaping User Experiences” by Yannis Paniaras, August 2024

5. From Agents To RAG (And GraphRAG) To Reporting

Because the user needs a business impact and RAG is only part of the solution, the focus quickly shifts from more generic questions and answering user patterns to advanced multi-step workflows.

The biggest issue, though, is what outcome the user needs. If we increase the complexity to capture the highest business goals, it is not enough to, let’s say, “query your data” or “chat with your website.”

A client wants a report, for example, of what is the thematic consistency of content within the entire website (this is a concept that we recently discovered as SiteRadus in Google’s massive data leak), the overview of the seasonal trends across hundreds of paid campaigns, or the ultimate review of the optimization opportunities related to the optimization of Google Merchant Feed.

You must understand how the business operates and what deliverables you will pay for. What concrete actions could boost the business? What questions need to be answered?

This is the start of creating a tremendous AI-assisted reporting tool.

How Can A Knowledge Graph (KG) Be Coupled With An Ontology For AI Alignment, Long-term Memory, And Content Validation?

The three guiding principles behind SEOntology:

  • Making SEO data interoperable to facilitate the creation of knowledge graphs while reducing unneeded crawls and vendor locked-in;
  • Infusing SEO know-how into AI agents using a domain-specific language.
  • Collaboratively sharing knowledge and tactics to improve findability and prevent misuse of Generative AI.

When you deal with at least two data sources in your SEO automation task, you will already see the advantage of using SEOntology.

SEOntology As “The USB-C Of SEO/Crawling Data”

Standardizing data about content assets, products, user search behavior, and SEO insights is strategic. The goal is to have a “shared representation” of the Web as a communication channel.

Let’s take a step backward. How does a Search Engine represent a web page? This is our starting point here. Can we standardize how a crawler would represent data extracted from a website? What are the advantages of adopting standards?

Practical Use Cases

Integration With Botify And Dynamic Internal Linking

Over the past few months, we’ve been working closely with the Botify team to create something exciting: a Knowledge Graph powered by Botify’s crawl data and enhanced by SEOntology. This collaboration is opening up new possibilities for SEO automation and optimization.

Leveraging Existing Data With SEOntology

Here’s the cool part: If you’re already using Botify, we can tap into that goldmine of data you’ve collected. No need for additional crawls or extra work on your part. We use the Botify Query Language (BQL) to extract and transform the needed data using SEOntology.

Think of SEOntology as a universal translator for SEO data. It takes the complex information from Botify and turns it into a format that’s not just machine-readable but machine-understandable. This allows us to create a rich, interconnected Knowledge Graph filled with valuable SEO insights.

What This Means for You

Once we have this Knowledge Graph, we can do some pretty amazing things:

  • Automated Structured Data: We can automatically generate structured data markup for your product listing pages (PLPs). This helps search engines better understand your content, potentially improving your visibility in search results.
  • Dynamic Internal Linking: This is where things get really interesting. We use the data in the Knowledge Graph to create smart, dynamic internal links across your site. Let me break down how this works and why it’s so powerful.

In the diagram below, we can also see how data from Botify can be blended with data from Google Search Console.

While in most implementations, Botify already imports this data into its crawl projects, when this is not the case, we can trigger a new API request and import clicks, impressions, and positions from GSC into the graph.

Collaboration With Advertools For Data Interoperability

Similarly, we collaborated with the brilliant Elias Dabbas, creator of Advertools — a favorite Python library among marketers – to automate a wide range of marketing tasks.

Our joint efforts aim to enhance data interoperability, allowing for seamless integration and data exchange across different platforms and tools.

In the first Notebook, available in the SEOntology GitHub repository, Elias showcases how we can effortlessly construct attributes for the WebPage class, including title, meta description, images, and links. This foundation enables us to easily model complex elements, such as internal linking strategies. See here the structure:

  • Internal_Links
    • anchorTextContent
    • NoFollow
    • Link

We can also add a flag if the page is already using schema markup:

  • usesSchema

Formalizing What We Learned From The Analysis Of The Leaked Google Search Documents

While we want to be extremely conscious in deriving tactics or small schemes from Google’s massive leak, and we are well aware that Google will quickly prevent any potential misuse of such information, there is a great level of information that, based on what we learned, can be used to improve how we represent web content and organize marketing data.

Despite these constraints, the leak offers valuable insights into improving web content representation and marketing data organization. To democratize access to these insights, I’ve developed a Google Leak Reporting tool designed to make this information readily available to SEO pros and digital marketers.

For instance, understanding Google’s classification system and its segmentation of websites into various taxonomies has been particularly enlightening. These taxonomies – such as ‘verticals4’, ‘geo’, and ‘products_services’ – play a crucial role in search ranking and relevance, each with unique attributes that influence how websites and content are perceived and ranked in search results.

By leveraging SEOntology, we can adopt some of these attributes to enhance website representation.

Now, pause for a second and imagine transforming the complex SEO data you manage daily through tools like Moz, Ahrefs, Screaming Frog, Semrush, and many others into an interactive graph. Now, envision an Autonomous AI Agent, such as Agent WordLift, at your side.

This agent employs neuro-symbolic AI, a cutting-edge approach that combines neural learning capabilities with symbolic reasoning, to automate SEO tasks like creating and updating internal links. This streamlines your workflow and introduces a level of precision and efficiency previously unattainable.

SEOntology serves as the backbone for this vision, providing a structured framework that enables the seamless exchange and reuse of SEO data across different platforms and tools. By standardizing how SEO data is represented and interconnected, SEOntology ensures that valuable insights derived from one tool can be easily applied and leveraged by others. For instance, data on keyword performance from SEMrush could inform content optimization strategies in WordLift, all within a unified, interoperable environment. This not only maximizes the utility of existing data but also accelerates the automation and optimization processes that are crucial for effective marketing.

Infusing SEO Know-How Into AI Agents

As we develop a new agentic approach to SEO and digital marketing, SEOntology serves as our domain-specific language (DSL) for encoding SEO skills into AI agents. Let’s look at a practical example of how this works.

GraphQL Query Generator and ValidatorScreenshot from WordLift, August 2024

We’ve developed a system that makes AI agents aware of a website’s organic search performance, enabling a new kind of interaction between SEO professionals and AI. Here’s how the prototype works:

System Components

  • Knowledge Graph: Stores Google Search Console (GSC) data, encoded with SEOntology.
  • LLM: Translates natural language queries into GraphQL and analyzes data.
  • AI Agent: Provides insights based on the analyzed data.

Human-Agent Interaction

Human, LLM, Knowledge Graph, AI Agent interactionImage from author, August 2024

The diagram illustrates the flow of a typical interaction. Here’s what makes this approach powerful:

  • Natural Language Interface: SEO professionals can ask questions in plain language without constructing complex queries.
  • Contextual Understanding: The LLM understands SEO concepts, allowing for more nuanced queries and responses.
  • Insightful Analysis: The AI agent doesn’t just retrieve data; it provides actionable insights, such as:
    • Identifying top-performing keywords.
    • Highlighting significant performance changes.
    • Suggesting optimization opportunities.
  • Interactive Exploration: Users can ask follow-up questions, enabling a dynamic exploration of SEO performance.

By encoding SEO knowledge through SEOntology and integrating performance data, we’re creating AI agents that can provide context-aware, nuanced assistance in SEO tasks. This approach bridges the gap between raw data and actionable insights, making advanced SEO analysis more accessible to professionals at all levels.

This example illustrates how an ontology like SEOntology can empower us to build agentic SEO tools that automate complex tasks while maintaining human oversight and ensuring quality outcomes. It’s a glimpse into the future of SEO, where AI augments human expertise rather than replacing it.

Human-In-The-Loop (HTIL) And Collaborative Knowledge Sharing

Let’s be crystal clear: While AI is revolutionizing SEO and Search, humans are the beating heart of our industry. As we dive deeper into the world of SEOntology and AI-assisted workflows, it’s crucial to understand that Human-in-the-Loop (HITL) isn’t just a fancy add-on—it’s the foundation of everything we’re building.

The essence of creating SEOntology is to transfer our collective SEO expertise to machines while ensuring we, as humans, remain firmly in the driver’s seat. It’s not about handing over the keys to AI; it’s about teaching it to be the ultimate co-pilot in our SEO journey.

Human-Led AI: The Irreplaceable Human Element

SEOntology is more than a technical framework – it’s a catalyst for collaborative knowledge sharing that emphasizes human potential in SEO. Our commitment extends beyond code and algorithms to nurturing skills and expanding the capabilities of new-gen marketers and SEO pros.

Why? Because AI’s true power in SEO is unlocked by human insight, diverse perspectives, and real-world experience. After years of working with AI workflows, I’ve realized that agentive SEO is fundamentally human-centric. We’re not replacing expertise; we’re amplifying it.

We deliver more efficient and trustworthy results by blending cutting-edge tech with human creativity, intuition, and ethical judgment. This approach builds trust with clients within our industry and across the web.

Here’s where humans remain irreplaceable:

  • Understanding Business Needs: AI can crunch numbers but can’t replace the nuanced understanding of business objectives that seasoned SEO professionals bring. We need experts who can translate client goals into actionable SEO strategies.
  • Identifying Client Constraints: Every business is unique, with its limitations and opportunities. It takes human insight to navigate these constraints and develop tailored SEO approaches that work within real-world parameters.
  • Developing Cutting-Edge Algorithms: The algorithms powering our AI tools don’t materialize out of thin air. We need brilliant minds to develop state-of-the-art algorithms, learn from human input, and continually improve.
  • Engineering Robust Systems: Behind every smooth-running AI tool is a team of software engineers who ensure our systems are fast, secure, and reliable. This human expertise keeps our AI assistants running like well-oiled machines.
  • Passion for a Better Web: At the heart of SEO is a commitment to making the web a better place. We need people who share Tim Berners’s—Lee’s vision—people who are passionate about developing the web of data and improving the digital ecosystem for everyone.
  • Community Alignment and Resilience: We need to unite to analyze the behavior of search giants and develop resilient strategies. It’s about solving our problems innovatively as individuals and as a collective force. This is what I always loved about the SEO industry!

Extending The Reach Of SEOntology

As we continue to develop SEOntology, we’re not operating in isolation. Instead, we’re building upon and extending existing standards, particularly Schema.org, and following the successful model of the GS1 Web Vocabulary.

SEOntology As An Extension Of Schema.org

Schema.org has become the de facto standard for structured data on the web, providing a shared vocabulary that webmasters can use to markup their pages.

However, while Schema.org covers a broad range of concepts, it doesn’t delve deeply into SEO-specific elements. This is where SEOntology comes in.

An extension of Schema.org, like SEOntology, is essentially a complementary vocabulary that adds new types, properties, and relationships to the core Schema.org vocabulary.

This allows us to maintain compatibility with existing Schema.org implementations while introducing SEO-specific concepts not covered in the core vocabulary.

Learning From GS1 Web Vocabulary

The GS1 Web Vocabulary offers a great model for creating a successful extension that interacts seamlessly with Schema.org. GS1, a global organization that develops and maintains supply chain standards, created its Web Vocabulary to extend Schema.org for e-commerce and product information use cases.

The GS1 Web Vocabulary demonstrates, even recently, how industry-specific extensions can influence and interact with schema markup:

  • Real-world impact: The https://schema.org/Certification property, now officially embraced by Google, originated from GS1’s https://www.gs1.org/voc/CertificationDetails. This showcases how extensions can drive the evolution of Schema.org and search engine capabilities.

We want to follow a similar approach to extend Schema.org and become the standard vocabulary for SEO-related applications, potentially influencing future search engine capabilities, AI-driven workflows, and SEO practices.

Much like GS1 defined their namespace (gs1:) while referencing schema terms, we have defined our namespace (seovoc:) and are integrating the classes within the Schema.org hierarchy when possible.

The Future Of SEOntology

SEOntology is more than just a theoretical framework; it’s a practical tool designed to empower SEO professionals and tool makers in an increasingly AI-driven ecosystem.

Here’s how you can engage with and benefit from SEOntology.

If you’re developing SEO tools:

  • Data Interoperability: Implement SEOntology to export and import data in a standardized format. This ensures your tools can easily interact with other SEOntology-compliant systems.
  • AI-Ready Data: By structuring your data according to SEOntology, you’re making it more accessible for AI-driven automations and analyses.

If you’re an SEO professional:

  • Contribute to Development: Just like with Schema.org, you can contribute to SEOntology’s evolution. Visit its GitHub repository to:
    • Raise issues for new concepts or properties you think should be included.
    • Propose changes to existing definitions.
    • Participate in discussions about the future direction of SEOntology.
  • Implement in Your Work: Start using SEOntology concepts in your structured data.

In Open Source We Trust

SEOntology is an open-source effort, following in the footsteps of successful projects like Schema.org and other shared linked vocabularies.

All discussions and decisions will be public, ensuring the community has a say in SEOntology’s direction. As we gain traction, we’ll establish a committee to steer its development and share regular updates.

Conclusion And Future Work

The future of marketing is human-led, not AI-replaced. SEOntology isn’t just another buzzword – it’s a step towards this future. SEO is strategic for the development of agentive marketing practices.

SEO is no longer about rankings; it’s about creating intelligent, adaptive content and fruitful dialogues with our stakeholders across various channels. Standardizing SEO data and practices is strategic to build a sustainable future and to invest in responsible AI.

Are you ready to join this revolution?

There are three guiding principles behind the work of SEOntology that we need to make clear to the reader:

  • As AI needs semantic data, we need to make SEO data interoperable, facilitating the creation of knowledge graphs for everyone. SEOntology is the USB-C of SEO/crawling data. Standardizing data about content assets and products and how people find content, products, and information in general is important. This is the first objective. Here, we have two practical use cases. We have a connector for WordLift that gets crawl data from the Botify crawler and helps you jump-start a KG that uses SEOntology as a data model. We are also working with Advertools, an open-source crawler and SEO tool, to make data interoperable with SEOntology;
  • As we progress with the development of a new agentic way of doing SEO and digital marketing, we want to infuse the know-how of SEO using SEOntology, a domain-specific language to infuse the SEO mindset to SEO agents (or multi-agent systems like Agent WordLift). In this context, the skill required to create dynamic internal links is encoded as nodes in a knowledge graph, and opportunities become triggers to activate workflows.
  • We expect to work with human-in-the-loop HITL, meaning that the ontology will become a way to collaboratively share knowledge and tactics that help improve findability and prevent the misuse of Generative AI that is polluting the Web today.

Project Overview

This work on SEOntology is the product of collaboration. I extend my sincere thanks to the WordLift team, especially CTO David Riccitelli. I also appreciate our clients for their dedication to innovation in SEO through knowledge graphs. Special thanks to Milos Jovanovik and Emilia Gjorgjevska for their critical expertise. Lastly, I’m grateful to the SEO community and the SEJ editorial team for their support in sharing this work.

More resources: 


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