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Marketing · 14 min read

What Is a Glossary? How It Helps SEO and AI Answers

A glossary is an alphabetical list of terms and definitions. Here is how e-commerce brands can use glossary pages to win definition searches and AI answers, plus a working SEO and AI search glossary.

Robert Battle · Updated

Key takeaways
  • A glossary is a list of terms with short definitions; on a website it works best when each definition stands on its own and links to the products where the term matters.
  • In Pew Research Center's March 2025 data, 60% of Google searches starting with who, what, when or why produced an AI summary, so definition pages now compete with AI answers.
  • Start with one glossary page and give a term its own page only when you can add real substance, such as examples, a table or product links.
  • DefinedTerm and DefinedTermSet are the schema.org types for glossaries, but Google does not list them as a rich result type, so markup is a label, not a ranking shortcut.
  • Mass-producing thin term pages risks Google's scaled content abuse policy; fewer, better entries win.

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.

Share of Google searches that produced an AI summary900 US adults, 68,879 Google searches, March 2025
Starts with who, what, when or why60%
10 or more words53%
Full sentence (noun and verb)36%
All searches18%
One or two words8%
View the data
Value
Starts with who, what, when or why60%
10 or more words53%
Full sentence (noun and verb)36%
All searches18%
One or two words8%

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.

What people did after a Google searchShare of visits to a results page, with and without an AI summary, March 2025
Clicked a result, no AI summary15%
Clicked a result, AI summary shown8%
Clicked a link inside the AI summary1%
Ended browsing, no AI summary16%
Ended browsing, AI summary shown26%
View the data
Value
Clicked a result, no AI summary15%
Clicked a result, AI summary shown8%
Clicked a link inside the AI summary1%
Ended browsing, no AI summary16%
Ended browsing, AI summary shown26%

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.

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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.

FactorSingle glossary pageGlossary hub (one page per term)
Best forUnder about 40 terms, mostly support vocabularyTerms with their own search demand and buying intent
Ranking potentialRanks for the head term ("coffee glossary") and some long-tail termsEach term page can rank for its own "what is" query
AI answer potentialDefinitions are harder to cite individuallyOne clear answer per URL is easy to cite
EffortLow: one page to write and maintainHigher: each page needs enough unique substance to stand alone
Main riskBecomes a long, unscannable wall of textThin, 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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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 typeGlossary ideaExample termsLink each term to
Skincare and beautyIngredient glossaryNiacinamide, retinol, ceramides, hyaluronic acidProducts containing the ingredient
Outdoor and apparelMaterials and ratings glossaryFill power, denier, merino, waterproof ratingCollections filtered by that material or rating
Coffee and foodOrigin and process glossaryWashed process, natural process, single origin, roast levelCoffees made with that process
JewelryStones and metals glossaryCarat, clarity, lab-grown diamond, vermeil, karatRings and collections that use the stone or metal
Auto partsFitment and parts glossaryOEM, aftermarket, bolt pattern, lift kitParts finder and matching collections
Home and furnitureConstruction glossaryKiln-dried wood, dovetail joint, top-grain leatherPieces 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: name for the term, description for the definition, url for the term's page, inDefinedTermSet pointing to the glossary, and optionally termCode and alternateName.
  • On DefinedTermSet: name, url, and hasDefinedTerm listing 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.

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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.

TermDefinitionFull guide
AI OverviewsGoogle's AI-generated summaries shown above some search results, with links to the pages they draw from.Getting into Google AI search
Anchor textThe 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 tagA 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 decayThe gradual loss of rankings and traffic on a page as it ages, competitors publish fresher answers or search intent shifts.Content decay
Core Web VitalsGoogle'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 budgetHow 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-TExperience, 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
EntityA 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 navigationThe 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-SearchBotOpenAI'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 bloatToo many low-value URLs (filters, tags, thin pages) in a search engine's index, which dilutes crawling and quality signals.Index bloat
JSON-LDA 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 cannibalizationTwo or more of your pages competing for the same query, so neither ranks as well as one strong page would.Keyword cannibalization
Knowledge GraphGoogle's database of entities and the facts that connect them, which powers knowledge panels and helps it understand brands.Knowledge Graph optimization
llms.txtA 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 descriptionThe 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 pageA page with no internal links pointing to it, so visitors and crawlers have trouble finding it.Orphan pages
Robots.txtA 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 markupStructured 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 tagThe HTML title of a page, usually shown as the clickable headline in search results.Title tag best practices
Topical authorityHow thoroughly a site covers a subject, built by publishing connected, useful pages on every important question in that topic.Topical authority
XML sitemapA file that lists the URLs you want search engines to discover, with optional last-modified dates.XML sitemap best practices
Zero-click searchA 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.

SymptomLikely causeFix
Term pages indexed but never get impressionsPages are one sentence long or copy dictionary definitionsMerge thin terms into the main glossary page; expand the rest with examples and product links
Hundreds of near-identical term pagesMass-generated entries with no added valuePrune or consolidate; Google's spam policies name generating many pages "without adding value for users" as scaled content abuse
Glossary ranks but drives no salesNo links from terms to products or collectionsAdd a "shop products with this feature" block to every relevant term
Term page competes with your buying guideBoth target the same queryPick one primary page and fix the keyword cannibalization
Definitions are cited by AI but wrongEntries were never reviewed after product or standard changesAdd an owner and a review date to every entry
Glossary pages are hard to findOnly linked from the footerLink 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.

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FAQ

Questions & answers

What is the difference between a glossary and a dictionary?
A dictionary tries to define every word in a language. A glossary defines only the terms used in one subject, document or product range, and usually explains them in that specific context.
Does a glossary help SEO?
It can, when each definition is the clearest answer to a real search and links to related products and guides. Thin or mass-produced glossary pages tend to get no impressions and can run into Google's scaled content abuse policy.
Should each glossary term have its own page?
Only when the term has its own search demand and you can add real substance, such as examples, a comparison table or product links. Short definitions belong together on one glossary page.
Does Google show rich results for DefinedTerm schema?
No. DefinedTerm and DefinedTermSet are valid schema.org types, but Google's search gallery does not list them as supported rich result types. Use the markup to label definitions accurately, not to chase a special result.
How long should a glossary definition be?
Open with one or two sentences that fully answer the question on their own, which is what AI answers tend to quote. Then add context, an example and links for readers who want more.
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