What is Alt Text and Its Impact on eCommerce
Alt text in Shopify is the alternative text that describes an image and its function on the product detail page (PDP). In large catalogs, this field acts as a critical bridge between image SEO and web accessibility, so it must be managed with clear rules and templates from an operational standpoint, avoiding isolated decisions in massive catalogs.
Definition and Technical Function
When this process needs to scale beyond manual edits, the alt text generator helps create consistent, descriptive alternatives from product context instead of filenames or generic prompts.
Alt text is a textual tag that describes the content and function of an image for screen readers and search engines. When an image fails to load or a user employs a screen reader, the alt text conveys its purpose. For search engines, it offers a fundamental semantic signal that helps index images in Google Images and visual searches.
Example: An optimized alt for a sneaker photo might be: "men's running shoes model X blue size 10".
Typical Error: Using the filename (IMG_2023.jpg) or leaving the field empty when the image is informative.
You can consult the WCAG guide on text alternatives for accessibility criteria at W3C WCAG 2.1.
Why It Matters Legally and for Accessibility
WCAG regulations require text alternatives that serve the same purpose as the image. Accessibility has functional and legal implications in many markets. In an online store, product images must describe what is essential for the purchasing decision: product type, color, and variant, avoiding redundant promotional text. Complying with this reduces legal risk and drastically improves the experience for customers with disabilities.
Example: For a t-shirt on sale, the alt should describe "black cotton v-neck t-shirt" instead of repeating "summer sale buy now".
See the W3C practical guide on accessible metadata: W3C Publishing A11y.
Alt text is one signal among several; it does not work in isolation. Well-written alternative text increases the likelihood of the image appearing in Google Images and helps to semantically relate product attributes.
For a robust implementation, it is necessary to coordinate alt text with other technical signals:
- Schema: Structured data format that helps search engines understand the product, its availability, and price.
- PIM (Product Information Management): Platform to centralize product attributes and maintain data consistency across channels.
- Shopify Metafields: Custom fields in Shopify to store additional data (such as an
alt_base or naming rules) allowing for scalable alt text management.
- Product Feed: The file that communicates inventory and descriptions to marketplaces (Google Shopping, Meta), where alt text often travels as the image description.
Coordinate the alt with schema and feed to maintain consistency. Review SEO practices for images at Schema.org Product.
Common Mistakes in Massive Catalogs
In catalogs with thousands of SKUs, manual errors are repeated and amplified, generating technical debt.
- Common Failures: Images without alt text, generic alts ("shoe"), massive duplicates, use of internal codes (SKUs) as descriptions, and text filled with keywords (stuffing).
- Practical Solution: Define an operational template that combines product type, main attribute, and variant. Automate application via CSV or metafields and validate with scripts that detect duplicates, lengths, and unwanted patterns.
- Typical Error: Manually updating alt text in the Shopify admin without version control, generating inconsistency with the PIM.
For a reference on a combined accessibility and SEO strategy, review Siteimprove Blog.
Product Alt Text Writing Framework (Rules and Template)
This operational framework explains how to generate alt text in Shopify at scale to improve image SEO and accessibility without creating spam or duplicates. It contains rules by image type, a single template, and automation patterns.
TL;DR: Create an alt_base per product in metafields, add only the distinctive attribute in the variant, apply templates by image type, and automate imports with checks that detect duplicates and prohibited terms.
Key Principles
Alt text must describe what matters to the user and search engines without repeating the title or engaging in keyword stuffing. Avoid commercial phrases ("the best", "cheap") and prioritize utility and specificity.
Rule 1: Main Packshot
The main packshot is the visual reference of the product and is usually used by search engines as the featured image and by screen readers as the first description.
- How to approach it: Use a formula:
Brand + Model + Main Attribute + Brief Usage. Keep it between 60 and 110 characters depending on the level of detail. Save the canonical version in the image alt field and in an alt_base metafield to orchestrate updates.
- Example: Delta urban backpack 20 liters black for daily use.
- Typical Error: Putting only the brand or exactly repeating the product name (H1).
Rule 2: Variant Packshots
Variants share most data with the parent product. You must differentiate only what is necessary so that each alt is unique, avoiding duplicate content.
- How to approach it: Concatenate
alt_base with the distinctive attribute. If the variant only changes color, do not repeat size or material if they are already in the base. Use alt_base and alt_variant columns in your CSV to automate merging.
- Example:
alt_base: Delta urban backpack 20 liters black for daily usealt_variant: navy blue- Final Alt: Delta urban backpack 20 liters navy blue for daily use
- Typical Error: Generating five identical alts changing only one word without normalizing capitalization or accents, or duplicating the base text without adding the variant.
Rule 3: Lifestyle Images
Lifestyle images provide usage context and help rank for purchase intent or inspirational visual searches.
- How to approach it: Describe the action, the product, and the location in a short phrase. Keep it to 50 to 100 characters and avoid listing irrelevant secondary objects.
- Example: Person using Delta backpack cycling through the city.
- Typical Error: Describing everything visible in the scene ("blue sky, building in background") instead of focusing on the action and the product.
Rule 4: Detail and Zoom
Close-ups justify the use of technical keywords and answer specific product queries (long-tail).
- How to approach it: Indicate the technical feature followed by the benefit in a brief phrase. Include unit or material if it adds search value.
- Example: Water-resistant YKK zipper on reinforced seam.
- Typical Error: Using superlatives ("incredible quality") or commercial language without concrete data.
Strategies to Avoid Duplicates and Spam
Avoiding duplicate content improves accessibility and reduces "noise" for search engines.
- Metafields as Source of Truth: Maintain an
alt_base in metafields and generate final alts by concatenating only necessary attributes.
- Term Audit: Audit via similarity queries and rules that block prohibited terms like "buy", "discount", "free shipping".
- Clean Imports: Use apps that respect metafields for bulk imports or dedicated scripts.
- Practical Example: A CSV with columns
sku, alt_base, alt_variant that a script transforms into the final alt_text column.
Ideal Length: Aim for 50 to 125 characters depending on the image type.
How to Implement and Scale it on Shopify (Step-by-Step + QA)
This section explains step-by-step how to generate, audit, and update alternative texts at scale without breaking catalog consistency, using the rules defined above.
1. Catalog and Data Preparation
A clean database avoids overwrites and facilitates automation.
- Action: Export products with unique identifiers (
product_id, variant_id), image URL, and title. Ensure every image has a persistent identifier (image_id).
- Normalization: Normalize key attributes like color, material, size, and classify the image type (main, secondary, lifestyle). Add a column for "review status".
- Recommended CSV Structure:
product_id, sku, image_url, image_id, current_alt_text, image_type.
- Typical Error: Using old filenames as the basis for alt text without current product context.
2. Contextual Automated Generation
Batch generation reduces time and maintains coherence if applied with strict templates.
- Action: Define parameterized templates by category and image usage (as seen in the Framework). Integrate a tool to process batches and save the result in metafields for traceability.
- Footwear Template (Example):
Brand + Model + Color + Shot Type + Detail.
- Typical Error: Generating generic alt text that does not change between color variants, creating SEO cannibalization.
Loading alt text in bulk avoids manual "image by image" editing in the Shopify interface.
- Action: Use Shopify's standard export/import (if volume is manageable) or integrate with a PIM for large catalogs. Always map the
Image Alt Text column with the corresponding Image ID.
- Encoding: For large volumes, work in batches and always check UTF-8 encoding to avoid breaking special characters.
- CSV Mapping: Ensure you have one line per image, associating
product_id, image_id, and the new alt_text.
- Typical Error: Uploading alt text without correct
image_id mapping, which can scramble images or lose the relationship between the variant and its photo.
4. Quality Control and Operational QA
Quality degrades if there are no automatic checks and periodic reviews. Detecting spam, duplicates, and omissions improves both SEO and accessibility.
- Automatic Controls:
- If
alt is empty -> Flag for review.
- If
alt is an exact duplicate between images of the same product (except identical packshots) -> Alert.
- If
alt > 150 characters -> Truncate or alert for manual editing.
- Sampling: Complement with manual sampling and reviews for high-impact categories (Top Sellers). Define quality thresholds.
- Resource: For writing criteria, consult the Ahrefs guide on alt text.
- Apps: For integrations, check optimization apps in the Shopify App Store.
Summary Workflow
- Clean and exported catalog.
- Definition of templates by category.
- Automated batch generation and storage in metafields.
- Bulk CSV import.
- Automated QA and manual sampling.
- Update cycle every 3-6 months or after seasonal changes.
Smart Alt Text Automation with ButterflAI
Managing the alt text of thousands of SKUs while maintaining semantic consistency and accessibility compliance is an unmanageable task manually. "Copy and paste" errors or empty fields penalize the SEO of the entire catalog.
ButterflAI automatically detects unoptimized images and generates descriptive alt texts by analyzing visual context and product attributes. Our platform ensures each variant has a unique description, free of spam, and synchronizes changes directly to your Shopify store, eliminating manual CSV management.
