A glossary is an alphabetical list of terms with short, clear definitions for a specific subject. On a website, a glossary page (or a hub of one page per term) explains the words your customers search for, which helps you rank for "what is" queries, gives AI answers a clean definition to quote and creates natural internal links to your products and guides.
This guide is for e-commerce and Shopify teams deciding whether a glossary is worth building. You'll get a plain definition, what current data says about definition searches and AI summaries, how to choose between one glossary page and a full hub, a step-by-step build plan, e-commerce examples, DefinedTerm schema written strictly to schema.org, and a working glossary of 26 SEO and AI search terms you can use today.
What is a glossary?
A glossary is a list of terms and their definitions for one field, project or product range. Books put it at the back. Websites usually give it its own URL, such as /glossary, so people and search engines can find it directly.
A good glossary entry has four parts:
- The term, written the way people search for it, with common alternative names.
- A one or two sentence definition that stands on its own. If someone reads only that sentence, they should understand the term.
- Context: why it matters, an example, or how it applies to your products.
- Links to the deeper guide, the related product or collection, and related terms.
Types of glossaries
Most websites use one of three kinds. An industry glossary explains the vocabulary of a whole field (coffee processing methods, fabric weights, SEO terms). A product glossary explains the features, materials and ingredients in your own catalog. A support glossary explains the terms customers meet in sizing guides, warranties, shipping and returns. For a store, the first two attract search traffic; the third mostly reduces support tickets.
Why glossary pages help SEO and AI answers
A glossary does not rank because it is a glossary. It ranks when each definition is the clearest, most trustworthy answer to a real question. When that happens, you get several benefits at once.
You answer "what is" searches directly
Shoppers early in their research search for definitions: what is merino wool, what does "fill power" mean, what is a lab-grown diamond. A clear definition page can rank for those queries and introduce your brand before the shopper has a product in mind.
You give AI answers a quotable sentence
AI Overviews, ChatGPT and Perplexity assemble answers from pages that state facts plainly. A definition written as a complete sentence in the first lines of a page is easy to lift and cite. Google says there are no special requirements or schema needed to appear in AI Overviews or AI Mode: a page must be indexed and eligible to show with a snippet (Google Search Central, AI features and your website). Clear writing is the lever you control.
You build internal links with descriptive anchor text
Every product page, collection and blog post that mentions a term can link to its definition, and every definition can link back to the products where the term matters. Google's link guidance asks for anchor text that is descriptive, concise and relevant, and for every important page to be linked from at least one other page on your site (Google Search Central, link best practices). A glossary gives you a natural reason to do both.
You show expertise and build topical authority
Complete, accurate definitions written by people who know the products show experience and expertise, the qualities described in our guide to E-E-A-T. A glossary that covers every important term in your category also fills gaps in your topical authority.
What the data says about definition searches
Definition searches are exactly the kind of query that now triggers AI summaries. Pew Research Center tracked the Google searches of 900 US adults in March 2025 (68,879 searches in total). Overall, 18% of searches produced an AI summary, but the share was far higher for question-style searches.
View the data
| Value | |
|---|---|
| Starts with who, what, when or why | 60% |
| 10 or more words | 53% |
| Full sentence (noun and verb) | 36% |
| All searches | 18% |
| One or two words | 8% |
Source: Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results, July 2025
Searches starting with words like who, what, when or why produced an AI summary 60% of the time, compared with 8% of one or two word searches. "What is [term]" is a question search, so a glossary page now competes with an AI summary as well as the ten blue links.
That changes how clicks behave. In the same study, people clicked a traditional search result in 8% of visits to a results page with an AI summary, versus 15% without one, and they clicked a link inside the AI summary in just 1% of visits.
View the data
| Value | |
|---|---|
| Clicked a result, no AI summary | 15% |
| Clicked a result, AI summary shown | 8% |
| Clicked a link inside the AI summary | 1% |
| Ended browsing, no AI summary | 16% |
| Ended browsing, AI summary shown | 26% |
Source: Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results, July 2025
The practical takeaway: being the source the summary cites matters as much as ranking. Write definitions that are worth quoting, then give the reader a reason to click through, such as a comparison table, a sizing chart or the products that use the term. For more on this shift, see our guide to zero-click searches.
We benchmark your store against your top three competitors on Google and AI answers, then show the pages ready to move and the fixes to make first.
Glossary page vs glossary hub: which to build
You can publish every term on one long page with anchor links, or give each important term its own page under a hub. Most stores should start with one page and split out terms that earn their own search demand.
| Factor | Single glossary page | Glossary hub (one page per term) |
|---|---|---|
| Best for | Under about 40 terms, mostly support vocabulary | Terms with their own search demand and buying intent |
| Ranking potential | Ranks for the head term ("coffee glossary") and some long-tail terms | Each term page can rank for its own "what is" query |
| AI answer potential | Definitions are harder to cite individually | One clear answer per URL is easy to cite |
| Effort | Low: one page to write and maintain | Higher: each page needs enough unique substance to stand alone |
| Main risk | Becomes a long, unscannable wall of text | Thin, near-duplicate pages that add nothing |
A useful rule: give a term its own page only if you can write at least a few paragraphs that help a shopper decide something, plus a table, example or product links. If all you have is a sentence, it belongs on the main glossary page.
How to build an e-commerce glossary hub
Here is the process we recommend for a Shopify or e-commerce store. It takes a focused team a few weeks for the first 20 to 30 terms.
- Collect the vocabulary. Pull terms from your product titles, specs, filters, reviews, support tickets and on-site search. Add the terms competitors define. Your Google Search Console queries containing "what is" or "meaning" are a strong starting list; our Search Console analyzer helps you sort them.
- Check demand and intent. For each term, look at who ranks today. If the results are dictionaries, a short definition on your main glossary page is enough. If the results are retailers and buying guides, the term deserves its own page.
- Write the definition first. Open every entry with a one or two sentence definition that answers the question on its own. Then add why it matters, an example and how it applies to your products.
- Add something only you can offer. Product photos showing the feature, a comparison table, your own testing, sizing data or a fit note from your team. This is what separates a useful page from scaled filler.
- Link in both directions. Link each term to the collection or products where it matters, and link from product descriptions and blog posts back to the definition, using the term itself as anchor text. Run the internal link checker to catch orphan pages.
- Structure the hub. Use an A to Z index on the hub page, a breadcrumb from each term back to the hub and "related terms" links between entries. Keep URLs simple, such as
/glossary/fill-power. - Add DefinedTerm markup. Mark up the hub as a DefinedTermSet and each term page as a DefinedTerm, matching the visible text exactly (see the schema section below). Check it with our schema validator.
- Review and refresh. Recheck definitions at least twice a year, update them when products or standards change, and merge pages that never earned impressions.
Glossary examples for e-commerce brands
The best glossary topics sit right where shoppers get stuck before buying. These are the kinds of hubs that tend to fit common store categories. Adapt the terms to the words your own customers use.
| Store type | Glossary idea | Example terms | Link each term to |
|---|---|---|---|
| Skincare and beauty | Ingredient glossary | Niacinamide, retinol, ceramides, hyaluronic acid | Products containing the ingredient |
| Outdoor and apparel | Materials and ratings glossary | Fill power, denier, merino, waterproof rating | Collections filtered by that material or rating |
| Coffee and food | Origin and process glossary | Washed process, natural process, single origin, roast level | Coffees made with that process |
| Jewelry | Stones and metals glossary | Carat, clarity, lab-grown diamond, vermeil, karat | Rings and collections that use the stone or metal |
| Auto parts | Fitment and parts glossary | OEM, aftermarket, bolt pattern, lift kit | Parts finder and matching collections |
| Home and furniture | Construction glossary | Kiln-dried wood, dovetail joint, top-grain leather | Pieces built with that method |
Notice the pattern: every term connects to a product decision. A glossary that only defines words is a reference page. A glossary that connects each word to the right products is a shopping aid that also ranks.
If your audience is regulated, such as supplements or health products, keep definitions factual and avoid health claims your product pages could not legally make. The glossary is still marketing copy in the eyes of regulators.
DefinedTerm schema for glossaries
Schema.org has two types made for glossaries. DefinedTermSet is "a set of defined terms," and schema.org lists a glossary as an example. DefinedTerm is a word, name, acronym or phrase with a formal definition (schema.org/DefinedTerm, schema.org/DefinedTermSet).
Which properties to use
- On DefinedTerm:
namefor the term,descriptionfor the definition,urlfor the term's page,inDefinedTermSetpointing to the glossary, and optionallytermCodeandalternateName. - On DefinedTermSet:
name,url, andhasDefinedTermlisting the terms in the set.
Example markup for a term page
{"@context": "https://schema.org", "@type": "DefinedTerm", "name": "Fill power", "description": "Fill power measures how much space one ounce of down occupies, in cubic inches. Higher fill power means warmer insulation for its weight.", "url": "https://example.com/glossary/fill-power", "inDefinedTermSet": "https://example.com/glossary"}
On the hub page, mark up the glossary as a DefinedTermSet with "name": "Outdoor Gear Glossary", its url, and a hasDefinedTerm array with one DefinedTerm object (name, description, url) for each entry shown on the page.
What the markup will and won't do
Be realistic. Google's search gallery does not list DefinedTerm or DefinedTermSet as a supported rich result type, so the markup will not create a special result in Google. Google also says no special schema is needed to appear in AI Overviews. The markup is still a correct, low-effort way to label your definitions for any system that reads schema.org, as long as it matches the visible text exactly. If you are new to structured data, start with our guides to schema markup and JSON-LD.
Do not add FAQPage markup to glossary entries to chase rich results. FAQ rich results were limited to government and health sites in August 2023 and retired entirely on May 7, 2026, according to the Google Search Central changelog.
The free $100M AI Visibility Roadmap, built from 7,960 live pages and 197 A/B tests, shows how to get cited by ChatGPT, Google AI Overviews and Perplexity.
SEO and AI search glossary: 26 key terms
Here is our own working glossary of the SEO and AI search terms e-commerce teams ask about most. Each definition is written to stand on its own, and each links to our full guide on the topic.
| Term | Definition | Full guide |
|---|---|---|
| AI Overviews | Google's AI-generated summaries shown above some search results, with links to the pages they draw from. | Getting into Google AI search |
| Anchor text | The clickable words of a link. Google recommends anchor text that is descriptive, reasonably concise and relevant to the page it links to. | Anchor text for SEO |
| Canonical tag | A rel="canonical" link that tells search engines which URL you prefer when several URLs show the same content. Google treats it as a strong hint, not a command. | Canonical tags |
| Content decay | The gradual loss of rankings and traffic on a page as it ages, competitors publish fresher answers or search intent shifts. | Content decay |
| Core Web Vitals | Google's three page experience metrics: Largest Contentful Paint (loading), Interaction to Next Paint (responsiveness) and Cumulative Layout Shift (visual stability). | Core Web Vitals on Shopify |
| Crawl budget | How many URLs a search engine can and wants to crawl on your site in a given period. It mostly matters for large stores with many filtered or variant URLs. | Crawl budget |
| Domain Rating (DR) | An Ahrefs score from 0 to 100 that estimates the strength of a site's backlink profile. It is a third-party metric, not something Google uses. | What is Domain Rating |
| E-E-A-T | Experience, Expertise, Authoritativeness and Trustworthiness: the qualities Google's search quality rater guidelines ask raters to look for in content and its creators. | What is E-E-A-T |
| Entity | A distinct, identifiable thing, such as a brand, product, person or place, that search engines and AI models can recognize and connect to facts. | Entity SEO |
| Faceted navigation | The filters on collection pages (size, color, price) that can create thousands of URL combinations if left uncontrolled. | Faceted navigation SEO |
| Generative engine optimization (GEO) | Optimizing content and brand signals so AI assistants such as ChatGPT, Perplexity and Google AI Overviews cite or recommend you. | SEO vs GEO |
| GPTBot and OAI-SearchBot | OpenAI's crawlers. GPTBot collects content that may be used to train models; OAI-SearchBot finds pages to show in ChatGPT search results. | GPTBot vs OAI-SearchBot |
| Index bloat | Too many low-value URLs (filters, tags, thin pages) in a search engine's index, which dilutes crawling and quality signals. | Index bloat |
| JSON-LD | A JavaScript-notation format for adding structured data to a page in a script block. It is the format Google recommends for structured data. | JSON-LD for SEO |
| Keyword cannibalization | Two or more of your pages competing for the same query, so neither ranks as well as one strong page would. | Keyword cannibalization |
| Knowledge Graph | Google's database of entities and the facts that connect them, which powers knowledge panels and helps it understand brands. | Knowledge Graph optimization |
| llms.txt | A proposed Markdown file at a site's root that summarizes key pages for large language models. It is a community proposal, not an adopted standard. | Do you need llms.txt |
| Meta description | The HTML summary of a page that search engines may show as the snippet under the title. Google often rewrites it to match the query. | Meta description best practices |
| Orphan page | A page with no internal links pointing to it, so visitors and crawlers have trouble finding it. | Orphan pages |
| Robots.txt | A text file at the root of your domain that tells crawlers which paths they may or may not crawl. It controls crawling, not indexing. | Robots.txt best practices |
| Schema markup | Structured data using the schema.org vocabulary that describes what a page is about (a product, an organization, a term) in a machine-readable way. | Schema markup |
| Click-through rate (CTR) | The share of people who see your result in search and click it: clicks divided by impressions. | SERP CTR |
| Title tag | The HTML title of a page, usually shown as the clickable headline in search results. | Title tag best practices |
| Topical authority | How thoroughly a site covers a subject, built by publishing connected, useful pages on every important question in that topic. | Topical authority |
| XML sitemap | A file that lists the URLs you want search engines to discover, with optional last-modified dates. | XML sitemap best practices |
| Zero-click search | A search that ends without a click to any website, often because the answer appears on the results page or in an AI summary. | Zero-click searches |
Want to check how your own pages handle these basics? Our free SEO checker and AEO checker review a URL for the on-page and AI answer signals in this table.
Glossary mistakes to avoid
Glossaries fail for predictable reasons. Use this grid to diagnose an existing glossary or to avoid problems before you launch one.
| Symptom | Likely cause | Fix |
|---|---|---|
| Term pages indexed but never get impressions | Pages are one sentence long or copy dictionary definitions | Merge thin terms into the main glossary page; expand the rest with examples and product links |
| Hundreds of near-identical term pages | Mass-generated entries with no added value | Prune or consolidate; Google's spam policies name generating many pages "without adding value for users" as scaled content abuse |
| Glossary ranks but drives no sales | No links from terms to products or collections | Add a "shop products with this feature" block to every relevant term |
| Term page competes with your buying guide | Both target the same query | Pick one primary page and fix the keyword cannibalization |
| Definitions are cited by AI but wrong | Entries were never reviewed after product or standard changes | Add an owner and a review date to every entry |
| Glossary pages are hard to find | Only linked from the footer | Link terms in context from product copy and posts, and add the hub to your main navigation or help center |
Where to start with your glossary
Start small. List the 20 terms your customers most often ask about or search for, write a clear definition for each on one glossary page, and link every term to the products where it matters. After a couple of months, look at Search Console: the terms that earn impressions are the ones to expand into their own pages under a hub.
Done well, a glossary is one of the few content formats that serves new visitors, AI answers, internal linking and product discovery at the same time. It is also the kind of work our AI search optimization and e-commerce SEO teams build for Shopify brands. If you want help deciding which terms to target first, talk to us.
Book a free 30-minute call. We'll compare you with your top three competitors, show which pages are ready to move and walk through the revenue math.