SEO
How Product Information Management (PIM) Helps
Growing regional/national to major international brands have a lot of questions about product description page (PDP) optimization.
How much can be automated?
Does it matter if some of them have duplication?
What do we do with variable products that exist on a single URL?
Can I use manufacturer-provided product descriptions?
The problems with product descriptions are then exacerbated with larger product catalogs and more complex technology stacks.
However, with enterprise ecommerce stacks, you can also find opportunities to automate and make quick work of many product description issues.
This is where the PIM (Product Information Management system) can be both an SEO and user experience dream.
In addition to product descriptions, the PIM can help stakeholders influence the user experience and bridge the gap between a user searching for and researching products to complete their purchases.
For many, the PIM is just another part of the tech stack.
But it can improve user experiences and enrich the PDP (Product Details Page) with information important from an SEO perspective, as well.
For this article, I’ll be leaning on a combination of both, as businesses in the ecommerce industry such as Bain & Company have claimed that companies who improve customer experience with tools can increase revenue by up to 25%.
Given that Google is working harder to improve user experiences on the web via Core Web Vitals, Speed, Mobile Friendliness, EAT and more, using the PIM to improve user experience can be more than just adding keywords to the page.
Often, the PIM is also responsible for product imagery, as well.
Sometimes this can be the Digital Asset Management system’s job, but for this article, I’m assuming the PIM handles them.
Automating Product Title Tags & Meta Descriptions
Typically, the PIM will contain several fields relating to the product, including but not limited to:
- Product name.
- Product technical specifications (colors, size, material).
- Product description.
- Product identifiers (SKU, ISBN).
This information can be used to improve title tags and meta descriptions.
While Google is actively overwriting both elements, they are still processed and cached by Google.
Although only the title tag is factored into “ranking,” the meta description is still important from a CTR perspective.
Utilizing the PIM can also help alleviate duplication issues with title tags and provide better document information architecture for Google.
You can do this by having the front-end platform (the storefront) dynamically use the same information from the PIM as it does to populate the product description page template.
This information can also help Google serve content for hyper-specific queries, and return URLs from your site that are otherwise not in the immediate serving index.
Including more information in the title tag and meta description also helps steer Google to more accurate rewrites of your title tag and meta description.
This helps you avoid accidentally giving the user misleading information and a negative search experience.
Automating Product PDP Descriptions
Many product pages consist of generic product descriptions the manufacturer has likely provided.
Duplicated product descriptions aren’t usually an issue because the content of a PDP is more than just written words. It’s the page’s value proposition in its entirety.
The objective is to make the duplicated description a supporting element of the page and not the focal point.
Google’s John Mueller has confirmed that this doesn’t cause a penalty scenario, and is only an issue when they don’t want to show multiple results by just listing the same content.
The way around this is to use the PIM to add value.
For most queries relating to “generic” products, Google augments the search results to include a mixture of local and online results.
This means that Google has to decide to rank either local or “best” sources with duplicate value propositions.
Most PIMs contain stock data, and most businesses who operate online and offline will have integrations that allow you to include the following information and elements on PDPs:
- Availability in local stores (which you can further personalize if you are logged in to show availability in stores close to their defined location preferences).
- Delivery lead times for home delivery.
- Lead times for in-store pickup.
This gives the page another beneficial purpose and a reason for Google to choose to rank your PDP over others.
Defining Taxonomies & Relationships
In most PIMs, you can define taxonomies and relationships with other products within the database.
This information can then be used, along with personalization elements, to create additional content blocks (and additional value propositions) on the PDP page, giving it additional user value.
You can also use these elements to encourage both cross-sells and up-sells, improve user average order value (AOV), and help select the correct complementary products.
For example, buying a lamp from the page presenting the correct bulb as a related product saves the user time and effort in determining (and searching for) the correct bulbs.
Taxonomies and tags can also be integrated with most internal site searches, so making sure key products and variations are tagged correctly and have accurate taxonomies can help users with product discovery on your website.
Key Takeaways
The PIM is an underutilized asset in the ecommerce SEO arsenal and can be overlooked or seen as “not part” of the marketing toolkit.
Including PIM stakeholders in marketing meetings with those responsible for extracting PIM information into the ecommerce storefront can help you find opportunities to enhance your product description page’s SEO value further.
It can provide additional opportunities to improve user experience, conversion rates, and AOV, as well.
The more specific and descriptive your product pages, the better Google and other search engines can determine their relevance to queries by highly motivated searchers on the hunt for products like yours.
Use the tips above to maximize the value of your organization’s PIM by putting it to work for your SEO goals, as well.
And if you’re just getting started in ecommerce SEO or looking for a best practices checklist to make sure you’re making the most of all opportunities, you’ll want to check out Ecommerce Product Page SEO: 20 Dos & Don’ts.
More resources:
Featured Image: 13_Phunkod/Shutterstock
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SEO
HubSpot Rolls Out AI-Powered Marketing Tools
HubSpot announced a push into AI this week at its annual Inbound marketing conference, launching “Breeze.”
Breeze is an artificial intelligence layer integrated across the company’s marketing, sales, and customer service software.
According to HubSpot, the goal is to provide marketers with easier, faster, and more unified solutions as digital channels become oversaturated.
Karen Ng, VP of Product at HubSpot, tells Search Engine Journal in an interview:
“We’re trying to create really powerful tools for marketers to rise above the noise that’s happening now with a lot of this AI-generated content. We might help you generate titles or a blog content…but we do expect kind of a human there to be a co-assist in that.”
Breeze AI Covers Copilot, Workflow Agents, Data Enrichment
The Breeze layer includes three main components.
Breeze Copilot
An AI assistant that provides personalized recommendations and suggestions based on data in HubSpot’s CRM.
Ng explained:
“It’s a chat-based AI companion that assists with tasks everywhere – in HubSpot, the browser, and mobile.”
Breeze Agents
A set of four agents that can automate entire workflows like content generation, social media campaigns, prospecting, and customer support without human input.
Ng added the following context:
“Agents allow you to automate a lot of those workflows. But it’s still, you know, we might generate for you a content backlog. But taking a look at that content backlog, and knowing what you publish is still a really important key of it right now.”
Breeze Intelligence
Combines HubSpot customer data with third-party sources to build richer profiles.
Ng stated:
“It’s really important that we’re bringing together data that can be trusted. We know your AI is really only as good as the data that it’s actually trained on.”
Addressing AI Content Quality
While prioritizing AI-driven productivity, Ng acknowledged the need for human oversight of AI content:
“We really do need eyes on it still…We think of that content generation as still human-assisted.”
Marketing Hub Updates
Beyond Breeze, HubSpot is updating Marketing Hub with tools like:
- Content Remix to repurpose videos into clips, audio, blogs, and more.
- AI video creation via integration with HeyGen
- YouTube and Instagram Reels publishing
- Improved marketing analytics and attribution
The announcements signal HubSpot’s AI-driven vision for unifying customer data.
But as Ng tells us, “We definitely think a lot about the data sources…and then also understand your business.”
HubSpot’s updates are rolling out now, with some in public beta.
Featured Image: Poetra.RH/Shutterstock
SEO
Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]
Brands are seeing success driving quality pipeline and revenue growth. It’s all about building an intentional customer journey, aligning sales + marketing, plus measuring ROI.
Check out this executive panel on-demand, as we show you how we do it.
With Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell and Jessica Cromwell, we chatted about driving demand, lead gen, revenue, and proper attribution.
This B2B leadership forum provided insights you can use in your strategy tomorrow, like:
- The importance of the customer journey, and the keys to matching content to your ideal personas.
- How to align marketing and sales efforts to guide leads through an effective journey to conversion.
- Methods to measure ROI and determine if your strategies are delivering results.
While the case study is SaaS, these strategies are for any brand.
Watch on-demand and be part of the conversation.
Join Us For Our Next Webinar!
Navigating SERP Complexity: How to Leverage Search Intent for SEO
Join us live as we break down all of these complexities and reveal how to identify valuable opportunities in your space. We’ll show you how to tap into the searcher’s motivation behind each query (and how Google responds to it in kind).
SEO
What Marketers Need to Learn From Hunter S. Thompson
We’ve passed the high-water mark of content marketing—at least, content marketing in its current form.
After thirteen years in content marketing, I think it’s fair to say that most of the content on company blogs was created by people with zero firsthand experience of their subject matter. We have built a profession of armchair commentators, a class of marketers who exist almost entirely in a world of theory and abstraction.
I count myself among their number. I have hundreds of bylines about subfloor moisture management, information security, SaaS pricing models, agency resource management. I am an expert in none of these topics.
This has been the happy reality of content marketing for over a decade, a natural consequence of the incentives created by early Google Search. Historically, being a great content marketer required precisely no subject matter expertise. It was enough to read widely and write quickly.
Mountains of organic traffic have been built on the backs of armchair commentators like myself. Time spent doing deep, detailed research was, generally speaking, wasted, because 80% of the returns came from simply shuffling other people’s ideas around and slapping a few keyword-targeted H2s in the right places.
But this doesn’t work today.
For all of its flaws, generative AI is an excellent, truly world-class armchair commentator. If the job-to-be-done is reading a dozen articles and how-to’s and turning them into something semi-original and fairly coherent, AI really is the best tool for the job. Humans cannot out-copycat generative AI.
Put another way, the role of the content marketer as a curator has been rendered obsolete. So where do we go from here?
Hunter S. Thompson popularised the idea of gonzo journalism, “a style of journalism that is written without claims of objectivity, often including the reporter as part of the story using a first-person narrative.”
In other words, Hunter was the story.
When asked to cover the rising phenomenon of the Hell’s Angels, he became a Hell’s Angel. During his coverage of the ‘72 presidential campaign, he openly supported his preferred candidate, George McGovern, and actively disparaged Richard Nixon. His chronicle of the Kentucky Derby focused almost entirely on his own debauchery and chaos-making—a story that has outlasted any factual account of the race itself.
In the same vein, content marketers today need to become their stories.
It’s a content marketing truism that it’s unreasonable to expect writers to become experts. There’s a superficial level of truth to that claim—no content marketer can acquire a decade’s worth of experience in a few days or weeks—but there are great benefits awaiting any company willing to challenge that truism very, very seriously.
As Thompson proved, short, intense periods of firsthand experience can yield incredible insights and stories. So what would happen if you radically reduced your content output and dedicated half of your content team’s time to research and experimentation? If their job was doing things worth writing about, instead of just writing? If skin-in-the-game, no matter how small, was a prerequisite of the role?
We’re already seeing this shift.
Every week, I see more companies hiring marketers who are true, bonafide subject matter experts (I include the Ahrefs content team here—for the majority of our team, “writing” is a skill secondary to a decade of hands-on search and marketing experience). They are expensive, hard to find, and in the era of AI, worth every cent.
I see a growing expectation that marketers will document their experiences and experiments on social media, creating meta-content that often outperforms the “real” content. I see more companies willing to share subjective experiences and stories, and avoid competing solely on the sharing of objective, factual information. I see companies spending money to promote the personal brands of in-house creators, actively encouraging parasocial relationships as their corporate brand accounts lay dormant.
These are ideas that made no sense in the old model of content marketing, but they make much more sense today. This level of effort is fast becoming the only way to gain any kind of moat, creating material that doesn’t already exist on a dozen other company blogs.
In the era of information abundance, our need for information is relatively easy to sate; but we have a near-limitless hunger for entertainment, and personal interaction, and weird, pattern-interrupting experiences.
Gonzo content marketing can deliver.
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