Glossary: AI Visibility Terms for Shopify Stores

AI Visibility Basics

AI Brand Mentions: AI Brand Mentions are instances where AI systems reference, cite, or recommend your brand in an answer.They can appear as a direct recommendation, a citation, a comparison against competitors, or a mention inside a broader answer, across engines like ChatGPT, Gemini, Google AI Mode, and Claude. Positive mentions build visibility, while inaccurate ones can hurt it.See how it works →
AI Overview: AI Overviews are AI generated summaries that appear at the top of Google search results, synthesizing multiple sources into one answer.They're Google's response to AI powered competitors like ChatGPT and Perplexity, answering a query directly instead of just listing links to click through. A site cited inside an overview can keep some visibility even when the user never visits it.
AI Readiness: AI Readiness is how well your content and brand presence are structured so AI systems can understand, cite, and reuse them.If your site vanished from Google tomorrow, would AI models still know who you are and what you do? Clear structure, factual consistency, and machine-readable markup are what let them find out.See how it works →
AI Search: AI Search is the use of AI systems to understand a query and return a conversational, synthesized answer instead of a list of links.It spans ChatGPT, Gemini, Google AI Mode, Claude, and similar systems that synthesize one answer from multiple sources instead of listing pages to click through.See how it works →
AI Shopping Assistant: AI Shopping Assistant is a conversational AI tool, such as ChatGPT or Gemini, that shoppers ask for recommendations and where to buy.Mention Network measures visibility across the four AI shopping assistants shoppers actually use for buying questions: ChatGPT, Gemini, Google AI Mode, and Claude.See how it works →
AI Visibility: AI Visibility is how often and how prominently a store or product is named in the answers AI assistants give to shoppers.A store with high AI visibility gets named and recommended when shoppers ask an assistant where to buy something, while a store with none is simply absent from that answer.See how it works →
AI Visibility Check: AI Visibility Check is Mention Network's core feature: one product, one location, and one language, tested across four AI assistants.It sends realistic shopper questions to ChatGPT, Gemini, Google AI Mode, and Claude, then scores whether and how prominently your store is recommended in each answer.See how it works →
Generative Engine Optimization (GEO): Generative Engine Optimization (GEO) is the practice of optimizing content so AI systems cite and recommend it in their answers.Unlike traditional SEO, which optimizes for ranking in a list of links, GEO optimizes for being referenced inside an AI generated response from engines like ChatGPT, Gemini, Google AI Mode, and Claude. Success is measured by citation frequency and mention quality, not click through rate.See how it works →
LLM Citations: LLM Citations are the source references and attributions that a large language model provides when generating an answer.Citations matter because they are the moment an AI answer names its source instead of paraphrasing it anonymously. Strong citations build credibility and can drive real traffic back to the original source.See how it works →
On-store vs Off-store: On-store vs Off-store is the split Mention Network uses for every audit signal: on-store lives on your website, off-store lives elsewhere online.On-store signals, like product schema or page content, are things a merchant can fix directly, while off-store signals, like Google reviews or Reddit mentions, are proof gathered from elsewhere on the web.See how it works →
Zero-Click Search: Zero-Click Search is a query where the user gets their answer directly from the results page without clicking through to any website.Featured snippets, knowledge panels, and AI overviews are the main drivers of this behavior. It reduces direct traffic but can still build brand visibility when your content is the one being shown.

AI Visibility Check

AI Coverage: AI Coverage is how many of the four AI assistants Mention Network checks mention your store, shown as x/4.A coverage of 0/4 means no assistant mentions you, while 4/4 means all four do.See how it works →
Credit: Credit is Mention Network's usage unit, spent on actions that call AI such as running a check or generating a fix.Applying fixes and re-viewing past reports are free, and installing the app grants free starter credits for your first check.See how it works →
Evidence: Evidence is the original, unedited answer from each AI assistant, attached to every question in a Mention Network report.The only change made is bolding your store's name where it appears, so you can verify any verdict, including confirming that a not mentioned result really is accurate.See how it works →
Live product: Live product is a Shopify product with status Active that is published to the Online Store sales channel.Only live products can be checked in Mention Network, because a product without a public page cannot be seen by AI assistants.See how it works →
Market Position: Market Position is the report section that ranks every retailer AI assistants recommended for your product, ordered by Share of AI Voice.It shows price and shipping details whenever the AI stated them, and highlights your own store in the ranking even when it received no mention.See how it works →
Product Identity: Product Identity is Mention Network's confirmation that an AI's answer is actually about your exact product, not just a similar one.Every retailer mention in a report carries this match, which is what lets Market Position tell a store that truly sells your product apart from one that only looks similar.See how it works →
Query Builder: Query Builder is the Mention Network component that turns a raw Shopify product title into the natural question a shopper would ask.It anchors the brand by prepending the vendor name when it's missing, keeps the identifying parts of the product name, and drops SEO clutter; the resulting question is shown read-only in the report.See how it works →
Rank: Rank is a store's position in an AI assistant's answer among the retailers it names for a product.Mention Network averages your rank across every question where you were mentioned into a single average position; a store that's never mentioned has no rank to average.See how it works →
Search Intent: Search Intent is one of five buying questions the AI Visibility Check measures: where to buy, best place to buy, authentic, cheapest, or free shipping.Query Builder generates a separate question for each intent, and the report scores them separately, because a store can win one buying intent and lose another.See how it works →
Share of AI Voice: Share of AI Voice is your store's share of every retailer mention across AI shopping answers.Read it next to AI Coverage: a 50% share on one engine is weaker than a 20% share across all four.See how it works →
Verdict: Verdict is the headline conclusion of a Mention Network report, expressed as one of four tiers: Not visible, Partially, Visible, or Highly visible.The tier comes from your Visibility Score, starting at 0 for Not visible and reaching 80 or higher for Highly visible, and it summarizes how consistently the four assistants mention your store.See how it works →
Visibility Score: Visibility Score is the mean of your four per-chatbot visibility percentages, with any chatbot that never mentions you counted as zero.It's the headline percentage at the top of a Mention Network report, shown together with your average rank across every question where you were mentioned.See how it works →

Website Audit

Content Quality: Content Quality is the Website Audit factor asking whether your listing gives AI rich, complete content to work with.It's worth 24% of your total score, because AI can only recommend what it can quote, and thin or copied content gives it nothing to pull.See how it works →
Criterion: Criterion is one specific, scored check inside a Website Audit factor, such as whether your product schema includes a valid GTIN.Mention Network scores 40 criteria across the 4 factors, each carrying its own weight, impact level, and score band.See how it works →
Deploy Fixes: Deploy Fixes is Mention Network's phase 4 feature: applying an approved fix from your Optimization Plan straight to your Shopify store.You always see a before and after preview before anything is written, and content fixes are applied for free since the AI cost was already spent generating them.See how it works →
Discoverability: Discoverability is the Website Audit factor asking whether AI can find, read, and understand your product listing.It's worth 26% of your total score, because it's the entry gate: if AI can't crawl and read the page, nothing else about your store counts.See how it works →
Entity SEO: Entity SEO is an approach that optimizes for specific entities, people, places, things, or concepts, rather than just keywords.Search engines and AI systems build profiles of these entities and how they relate to each other, which helps them understand content meaning beyond simple keyword matching. Consistent business information and structured data both reinforce that understanding.
Impact: Impact is how much a Website Audit criterion matters, fixed per criterion as Critical, High, or Medium.It does not mean how badly you scored: the audit UI puts Impact beside a red score pill, and merchants often read the two the other way round.See how it works →
Machine Readability: Machine Readability is the Discoverability sub-group that checks whether your key product details are labeled in schema for AI to read.It covers structured data such as product, review, shipping, and FAQ schema, and it's the largest share of criteria within Discoverability because AI reads labeled facts far more reliably than plain text.See how it works →
Merchant Competitiveness: Merchant Competitiveness is the Website Audit factor asking whether your price and shipping are competitive for the product.It's the lightest weighted factor at 18% of your total score, covering the two criteria a merchant controls directly through business decisions rather than technical fixes.See how it works →
Optimization Plan: Optimization Plan is Mention Network's phase 3 feature: AI-generated fixes written for the specific criteria your store failed.Fixes are generated one criterion at a time when you ask for them, not all at once, and each generation spends a credit.See how it works →
Schema Markup: Schema Markup is structured data vocabulary that helps search engines and AI systems understand what a page's content actually means.Built collaboratively by Google, Microsoft, Yahoo, and Yandex through Schema.org, it labels content in machine readable terms like product, price, or review instead of leaving AI systems to guess. It's implemented today mostly through JSON-LD, added to a page without changing what visitors see.See how it works →
Score Band: Score Band is the label Mention Network puts on a criterion or factor score: Weak, Moderate, or Strong.A score of 0 to 49 is Weak, 50 to 79 is Moderate, and 80 to 100 is Strong, and the same three bands apply whether you're looking at one criterion or a whole factor.See how it works →
Trust & Authority: Trust & Authority is the Website Audit factor asking whether your store looks like a real, trusted, recognized business.It's the single heaviest factor at 32% of your total score, because AI won't vouch for a store it can't verify, and reviews and mentions are the proof it checks.See how it works →
Website Audit: Website Audit is Mention Network's phase 2 feature: an in-depth score of your store against 40 criteria across 4 weighted factors.The four factors are Discoverability, Content Quality, Trust & Authority, and Merchant Competitiveness, and together they explain why AI assistants do or do not recommend you.See how it works →

AI Engines & Models

AI Hallucination: AI Hallucination is when an AI system generates plausible sounding but false or fabricated information.It happens because language models fill gaps in their knowledge with statistically likely text instead of admitting uncertainty, producing fake citations, invented numbers, or fabricated quotes that sound authoritative. Always verify an AI generated claim against a primary source before relying on it.
Google AI Mode: Google AI Mode is Google's AI-powered search experience that answers queries conversationally instead of listing links.It's the renamed, evolved version of Search Generative Experience (SGE), and Mention Network checks it as one of the four AI assistants in every AI Visibility Check.See how it works →
Large Language Model (LLM): Large Language Models (LLMs) are AI systems trained on vast amounts of text to understand and generate human-like language.They're built on a transformer architecture that learns, by predicting the next word across huge amounts of text, which parts of an input matter most for generating a response. Different LLMs vary in their training data, safety approach, and whether they can browse the web for current information.
Prompt Engineering: Prompt Engineering is the practice of designing and refining inputs to get better, more precise outputs from an AI language model.Common techniques include giving the AI a specific role, asking for step by step reasoning, and providing examples of the format you want. Different models respond differently to the same prompt, so effective prompting is model specific.
Prompt Injection: Prompt Injection is a security vulnerability where malicious input manipulates an AI system into ignoring its instructions.It can be direct, embedded straight in a user's own prompt, or indirect, hidden inside external content the AI reads and processes. Defenses include input validation, clear separation between instructions and user content, and monitoring outputs for suspicious behavior.
RAG (Retrieval-Augmented Generation): RAG (Retrieval-Augmented Generation) is an AI architecture that pairs a language model with live information retrieval to ground its answers.It works in three steps: retrieving relevant documents, combining them with the user's query, and generating a response from both. This reduces hallucinations and lets systems like Perplexity cite current, verifiable sources instead of relying only on training data.

Shopify & E-commerce

Brand Owner: Brand Owner is a merchant that manufactures or owns the product and brand it sells, rather than reselling other brands.Mention Network's first release targets resellers; support for brand owners, measuring your own brand and SKUs, is on the roadmap.
Google Shopping: Google Shopping is Google's product listings service, built from merchants' product feeds, that AI assistants pull from.Website Audit checks whether a product is actually live and approved there, not just submitted, because a disapproved listing is just as invisible as no listing at all.See how it works →
GTIN (Global Trade Item Number): GTIN (Global Trade Item Number) is the barcode number that identifies a specific product the same way across every retailer that sells it.Website Audit checks for a valid GTIN in your product schema because it's the strongest signal AI has for matching your listing to the exact product a shopper asked about.See how it works →
Price Benchmark: Price Benchmark is the comparison between your product's price and the prices competitors were shown selling it for.Mention Network builds this benchmark entirely from the retailer prices AI assistants already stated during a check; it never scrapes competitor sites directly.See how it works →
Product Detail Page (PDP): Product Detail Page (PDP) is the individual page on a store where one product is listed with its price, description, and images.Mention Network's Website Audit crawls a product's PDP to score how well AI assistants can read and trust it.See how it works →
Product Feed: Product Feed is the structured list of a store's products, prices, and availability that platforms like Google Shopping read.A product missing from the feed, or present but not yet approved, is invisible to any AI shopping assistant that relies on it.See how it works →
Product Taxonomy: Product Taxonomy is Shopify's standard category system, such as Skin Care, used to classify a product.Mention Network reads the standard taxonomy instead of the merchant-entered product_type field, because product_type is free text that's often inconsistent or left blank.See how it works →
Reseller: Reseller is a store that sells another brand's products, such as a multi-brand shop or regional retailer, rather than its own.Mention Network's reseller reports measure whether shoppers can find your specific store as a place to buy, not whether they've heard of the product's original brand.See how it works →
Retailer: Retailer is any store an AI assistant names as a place to buy a product, including your own if it's mentioned.Market Position ranks every retailer an AI names for a check, ordered by Share of AI Voice and coverage, with your own store highlighted even when it wasn't mentioned.See how it works →
Shopify App: Shopify App is a piece of software, like Mention Network, that a merchant installs into their Shopify admin to add a feature.Mention Network runs as an embedded Shopify app, reading store data such as products and reviews to power its checks and audits.See how it works →
Vendor: Vendor is the Shopify product field where a merchant enters the product's brand.Mention Network reads this field to identify who makes what a reseller sells, rather than relying on the free text product title.See how it works →

SEO Foundations

Backlinks: Backlinks are hyperlinks from other websites that act as votes of confidence and signal authority to search engines.Quality matters more than quantity: a single link from an authoritative, relevant source can outweigh many links from low-quality sites. Search engines also use a site's backlink profile to help judge how trustworthy it is.
Canonical URLs: Canonical URLs are the preferred version of a page that search engines should index when multiple URLs show similar content.They're implemented with the rel canonical link element to stop duplicate content from diluting rankings and confusing crawlers. Self referencing canonical tags, where a page points to itself, are considered good practice.
Competitor Analysis: Competitor Analysis is the process of researching competitors' SEO, content, and AI visibility to find opportunities and threats.It covers traditional signals like rankings and backlinks alongside newer ones like how often a competitor gets cited in AI generated answers. The goal is to spot gaps and differentiate, not to copy what others already do.
Content Clusters: Content Clusters are groups of related pages organized around one pillar topic to demonstrate topical authority.A pillar page gives a broad overview of a subject while linked cluster pages go deep on specific subtopics. Search engines and AI systems read this structure as a signal of comprehensive expertise on the topic.
Conversational Search: Conversational Search is search interaction using natural language, follow up questions, and context carried over from earlier queries.It's powered by AI systems that can maintain context across a dialogue instead of treating each query in isolation.
Crawling and Indexing: Crawling and Indexing are the processes search engines use to discover, analyze, and store web pages for retrieval in results.Crawling is the discovery step, where bots follow links to find pages. Indexing is the analysis step that follows, where an engine understands and stores that content so it can be served for a matching search.
E-A-T (Expertise, Authoritativeness, Trustworthiness): E-A-T is Google's framework for judging content quality by expertise, authoritativeness, and trustworthiness, especially on health, finance, and safety topics.Expertise means demonstrated knowledge in a subject, authoritativeness means recognition from peers and other authoritative sources, and trustworthiness means factual accuracy and transparency. AI systems weigh similar signals when deciding which sources to cite.
Featured Snippets: Featured Snippets are selected search results shown in a box above the normal results, answering a query directly.They come in paragraph, list, table, and video formats, each pulled from a page that already answers the question clearly and concisely. Google credits the source, but a satisfied user may never click through to it.
Internal Linking: Internal Linking is the practice of linking between pages on the same website to guide navigation and distribute authority.The anchor text of an internal link gives both users and search engines context about the destination page. Strategic internal linking also helps AI systems understand how topics on a site relate to one another.
Knowledge Graph: Knowledge Graphs are databases that store entities, facts, and their relationships in a connected structure, powering knowledge panels.Google's Knowledge Graph draws on sources like Wikipedia and structured data to understand how different entities relate to one another. AI systems use similar structures to ground their answers in verified facts.
Natural Language Queries: Natural Language Queries are search requests phrased in conversational, everyday language instead of short keyword phrases.They tend to be longer and more specific, using full questions and context the way someone would ask a knowledgeable person. AI search systems are built to parse this kind of conversational input directly.
Robots.txt: Robots.txt is a text file that tells web crawlers which pages or sections of a site they should not crawl.It follows the Robots Exclusion Standard and typically also points crawlers to a site's XML sitemap. It only controls crawling, not indexing, so a blocked page can still appear in results if it's linked from elsewhere.
Search Engine Optimization (SEO): Search Engine Optimization (SEO) is the discipline of improving a website's visibility and ranking in search results through content and technical work.It rests on three pillars: on page content and structure, off page signals like backlinks, and technical factors like crawlability and page speed. SEO increasingly overlaps with AI optimization, since the same expertise and authority signals that earn rankings also earn AI citations.
Search Engine Results Page (SERP): Search Engine Results Page (SERP) is the page a search engine returns for a query, mixing organic results, ads, and AI generated features.Modern SERPs increasingly include featured snippets, knowledge panels, local packs, and AI overviews built to answer a question directly on the page. This has driven the rise of zero click searches, where a user gets an answer without visiting any website.
Semantic Search: Semantic Search is a search approach that focuses on the meaning behind a query instead of matching its literal keywords.It relies on natural language processing and knowledge graphs to recognize synonyms, related concepts, and intent, returning relevant results even when the exact keywords aren't present in the content.
Topical Authority: Topical Authority is the level of expertise and credibility a site demonstrates on a specific subject.It's built through comprehensive, consistent coverage of a topic rather than one great article, and reinforced when other authoritative sources reference that work. AI systems tend to cite sources with strong topical authority over sources with broad, shallow coverage.
XML Sitemaps: XML Sitemaps are structured files that give search engines a roadmap of a site's important pages for crawling and indexing.Written in XML, they list URLs along with metadata like last modified date and priority, helping engines find new or deep pages that internal links alone might miss. Large sites typically split sitemaps into an index of multiple files to stay within size limits.

Questions about these terms

What is the difference between AI visibility and SEO?

SEO measures where your pages rank in traditional search results such as Google's blue links. AI visibility measures whether AI engines like ChatGPT or Gemini mention, cite, or recommend your store when a shopper asks them a question directly. The two overlap but are scored, tracked, and optimized differently.

Which AI engines does Mention Network check?

Mention Network checks how your store and products show up across ChatGPT, Gemini, Google AI Mode, and Claude, the AI engines shoppers actually use to ask for product recommendations. Each engine draws on different sources and phrases answers differently, so we check all four instead of assuming one score represents them all.

Is GEO the same as generative engine optimization?

Yes. GEO is short for generative engine optimization, the practice of shaping your store's content, structure, and reputation so generative AI engines can find, understand, and recommend it. It's SEO's counterpart for the generative AI era: same goal of being found, different engines and different signals to work with.

What is the difference between AI Coverage and Visibility Score?

AI Coverage is a simple count: how many of the four engines Mention Network checks mention your store at all, shown as x out of 4. Visibility Score goes deeper, averaging how often you're mentioned across every question asked in each engine, so two stores with equal coverage can still score very differently.

Do I need to know these terms to use Mention Network?

No. Mention Network is built to run checks and show results in plain language, no glossary required. These definitions exist for the moments you want to go deeper: understanding exactly what a score means, comparing it to SEO concepts you already know, or explaining a report to a teammate or client.

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