Image SEO is not alt-text cleanup. It's a full technical and semantic layer — compression, format, metadata, structured data, filename conventions, and visual-search readiness — that turns your image library into a discoverability asset instead of a page-speed liability.
Asset inventory
hero-product.webp
38 KB
team-photo.jpg
214 KB
feature-chart.png
91 KB
blog-thumbnail.webp
24 KB
2 assets need alt text · 3 need schema · 1 oversized
+218%
Image impressions
Pass
Core Web Vitals
−1.4s
LCP improvement
Image SEO audit + roadmap in 7–10 days
Technical · semantic · visual search · schema
Technical + Semantic
Full-stack image SEO — format, compression, metadata, alt strategy, structured data, and visual-search readiness
7–10 days
From image library audit through to prioritised action plan and implementation-ready deliverables
LCP-aware
Image optimisation that improves Core Web Vitals — LCP, CLS, and overall page-speed performance
Google Images + AI
Optimised for visual discovery on Google Images, AI Overviews, Shopping, and multimodal search surfaces
At a Glance
Image SEO spans technical, semantic, and structural layers. Each one independently moves the needle — together, they turn image assets into an organic discovery channel.
WebP / AVIF conversion, lossless compression, responsive srcset sizing — images that load fast without visible quality loss and pass Core Web Vitals.
Descriptive, keyword-aligned alt text written at scale — not the same phrase repeated across hundreds of assets, but intent-matched copy that describes content and signals relevance.
ImageObject, Product, Recipe, Article schema markup — so Google can understand what each image depicts and surface it in rich results across Shopping, AI Overviews, and Images.
LCP image identification, lazy-load implementation, dimension attribution, and CLS prevention — image optimisation that improves real-world page performance scores.
Google Lens, reverse image search, and AI Overview optimisation — semantic clarity so images appear when searchers look with a camera, not just words.
Descriptive filenames, EXIF / IPTC metadata, CDN caching, and sitemap inclusion — the foundational signals crawlers use before they ever read alt text.
Is This Right for You?
Eight situations where image SEO produces measurable commercial value — from visual search appearances and Core Web Vitals to rich results and ecommerce discoverability.
"Your images rank for almost nothing in Google Images — you have hundreds of product or portfolio photos and none of them appear in visual search results for terms you should own"
Image indexation and discoverability audit — filename conventions, alt text coverage, sitemap inclusion, structured data, and Google Search Console inspection to identify what's blocking visual search appearance.
"Your site fails Core Web Vitals — LCP is above 2.5s and the biggest element on most pages is an unoptimised image above the fold that hasn't been compressed, resized, or format-converted"
LCP-focused image optimisation: hero image compression, WebP / AVIF conversion, responsive srcset, lazy loading on below-fold images, and explicit dimension declaration to eliminate CLS.
"You run an ecommerce store and product images aren't showing in Shopping or rich results — competitors show product imagery in search snippets and you only get a blue link"
Product image schema implementation — ImageObject and Product structured data, hero image designation, multi-angle coverage, and compliance with Google's product image content requirements.
"You publish content (blog, media, editorial) and images never appear in AI Overviews or Discover — visual elements add no discoverability despite being central to the content's value"
Editorial image optimisation for AI surfaces — semantic alt text tied to the surrounding content, Article / NewsArticle schema, Google Discover image size compliance, and structured data for multimedia content.
"You have a large image library (1,000+ assets) with inconsistent alt text, random filenames, and no structured data — the SEO value locked in your visual content is zero"
Bulk image audit and remediation plan: prioritised action list, scalable alt text framework for your team, filename convention guide, and structured data templates for your most valuable asset categories.
"Your page speed has been flagged but the developers fixed code — images are still the primary performance bottleneck and nobody has built a systematic approach to image delivery"
Image delivery architecture review: CDN configuration, next-gen format rollout (WebP / AVIF), compression pipeline, responsive image implementation, and a sustainable image publishing workflow.
"You sell visual products (interiors, fashion, food, art) and want to win visual search queries — Google Lens and reverse image search are real discovery channels for your category but you're not in them"
Visual search optimisation: product image quality and distinctiveness review, Google Lens indexation signals, schema markup for visual categories, and guidance on image asset strategy for visual-first discovery.
"You're redesigning or migrating and want to preserve or improve image SEO — a previous redesign killed your Google Images traffic and you don't want to repeat that mistake"
Migration image SEO audit and handover: pre-migration image inventory, alt text and metadata export, schema documentation, redirect plan for image URLs, and post-migration validation checklist.
Core Use Cases
Five focused engagements — each built around a specific image SEO challenge. Find the engagement that matches your current state.
For online stores where product images are central to discovery, conversion, and rich result appearance. We optimise every product image for Google Shopping, AI Overviews, and Google Images — with Product and ImageObject schema, alt text at scale, compression that preserves quality, and multi-angle image strategy that increases rich result eligibility.
Objective
Get product images into Google Shopping, rich results, and visual search surfaces
Outcome
Schema-enriched product image library with rich result eligibility and visual search presence
Key Signals
Primary surfaces
Google Shopping · Images · AI Overviews
Schema types
Product · ImageObject · Offer
Scale
100 to 100k product images
What We Do
Service Scope
Eight connected layers — technical, semantic, and structural — that transform an image library from a performance liability into a search discoverability asset.
Conversion to next-gen formats (WebP, AVIF), quality-threshold compression, and responsive srcset implementation — images that load fast without visible quality loss.
Descriptive, keyword-aligned alt text for every image — written with intent matching and semantic precision, not templated strings repeated across hundreds of assets.
ImageObject, Product, Article, Recipe, and Event schema — connecting images to their content context so Google surfaces them in rich results, Shopping, and AI Overviews.
LCP image identification and optimisation, lazy loading for below-fold images, dimension declaration for CLS prevention, and preload hints for critical above-fold assets.
Descriptive SEO-aligned filenames, EXIF / IPTC metadata, CDN caching configuration, and image sitemap generation — foundational signals crawlers parse before alt text.
Optimisation for Google Lens, reverse image search, and AI Overview visual inclusion — semantic alt text, distinctiveness review, and indexation signal validation.
Google Search Console image performance audit, indexation blockers removed, image sitemap submission, and impression monitoring across Image Search queries.
Full image SEO audit with prioritised action list, implementation templates for your team, before/after GSC benchmarks, and a 30-day post-implementation check-in.
Find Your Fit
Different image SEO problems need different engagement shapes. Find the situation that matches yours — we'll show you exactly what we'd build.
The Situation
"We need product images in Google Shopping and rich results — competitors show image thumbnails in search and we're getting plain blue links with no visual presence."
Product image schema is the gap between a blue link and a rich result. Google needs Product and ImageObject structured data to understand what each image depicts, which one is the primary product photo, and whether it qualifies for Shopping surfaces. Without it, even high-quality product photography is invisible to the enriched SERP features that drive click-through.
What We Deliver
We implement Product and ImageObject schema across your catalog, designate hero images, validate with Rich Results Test, and monitor Shopping appearance in Search Console — so your product images move from invisible to visually prominent in organic results.
Product image schema implementation: Product + ImageObject + Offer structured data, hero image designation, rich result validation.
The Situation
"We need to pass Core Web Vitals — our LCP is over 3 seconds and the PageSpeed report says the biggest culprit is an unoptimised hero image that hasn't been touched since launch."
LCP failures caused by images are fixable without redesign. The fix is systematic: identify the LCP element per page type, compress and convert to WebP / AVIF, implement responsive srcset, and add a preload hint for above-fold images. CLS from images without dimensions is a two-line fix that agencies overlook because it's not glamorous — but it matters to Google's ranking signals.
What We Deliver
We identify every LCP image across your highest-traffic page types, apply format conversion and compression, implement responsive delivery, and deliver before/after PageSpeed Insights data showing measurable LCP and CLS improvement.
LCP image optimisation: WebP / AVIF, srcset, preload, dimension attribution, before/after Lighthouse validation.
The Situation
"We need to appear in Google Images — we have a visual brand with hundreds of photos but none of them rank in Image Search for queries our audience actually uses."
Google Images is a meaningful discovery channel for visual categories — interior design, fashion, food, architecture, travel — but only if your images send the right signals. Filename conventions, alt text matched to search queries, sitemap inclusion, and structured data are the mechanisms Google uses to understand what an image depicts and whether it's relevant to a visual search. Without them, your image library is invisible to the channel.
What We Deliver
We audit your Google Images presence in Search Console, optimise filenames and alt text against visual search query patterns, submit an image sitemap, and implement structured data — with impression benchmarks tracked from day one.
Google Images optimisation: filename conventions, alt text, image sitemap, structured data, GSC impression tracking.
The Situation
"We need AI Overview and Discover image coverage — we publish content regularly but our images never appear in AI Overviews or Google Discover feeds despite high editorial quality."
AI Overview and Discover image inclusion require specific signals: minimum image dimensions (1200px for Discover), Article or NewsArticle schema with image markup, high-resolution original photography rather than stock, and semantic alt text tied to the article's keyword targets. Most editorial teams produce the content without setting up the technical signals that make images eligible for these surfaces.
What We Deliver
We audit your editorial image compliance against Discover and AI Overview eligibility requirements, implement Article schema with image markup, flag dimension non-compliance, and produce a publishing checklist your team follows for every new post.
Editorial image SEO: Article schema, Discover compliance, AI Overview eligibility, per-post publishing checklist.
The Situation
"We're redesigning the site and don't want to lose our Google Images rankings — last redesign killed image search traffic and nobody knew why until six months later."
Image SEO signals are fragile through migration: image URLs change, alt text gets rewritten or lost, structured data orphans, and the CDN configuration changes without preserving caching headers. Without a pre-migration inventory and a post-migration validation plan, the redesign silently resets image SEO equity. A systematic handover prevents months of invisible damage.
What We Deliver
We document your current image SEO state — alt text, schema, filenames, indexation, impression benchmarks — and produce a migration plan with redirect mapping for changed image URLs, schema re-implementation guide, and post-launch validation checklist.
Image SEO migration: pre-migration inventory, URL redirect map, schema documentation, post-launch validation checklist.
Root Causes
Six patterns that reduce image assets to invisible file storage — and the systematic alternative that treats each image as an organic discovery opportunity.
Treating alt text as a formality — writing 'image1.jpg' or 'photo of product' across every asset, then wondering why images never appear in visual search or contribute to keyword rankings
Intent-aligned alt text strategy — descriptive copy matched to search query patterns for each image type (product, editorial, decorative), written at scale with templates your team can maintain.
Publishing images in JPEG at original camera resolution — a 4MB file that hasn't been compressed, resized, or converted causes LCP failures and directly harms your Core Web Vitals scores
Systematic format and compression pipeline: WebP / AVIF conversion, quality-threshold compression (SSIM-validated), responsive srcset for device-appropriate delivery, and CDN caching for repeat loads.
No structured data on images — product pages, articles, and recipe content with rich imagery but no ImageObject, Product, or Article schema, missing every rich result and Shopping surface opportunity
Schema implementation for every image-bearing content type — ImageObject, Product, Article, Recipe, Event — with Rich Results Test validation and monitoring via Google Search Console.
Ignoring Google Images as a channel — images published and forgotten, with no sitemap submission, no GSC image search data review, and no understanding of which queries your images could rank for
Google Images optimisation: image sitemap generation and submission, GSC image search performance monitoring, filename and alt text aligned to visual search query patterns, indexation blockers removed.
Uploading images with random filenames — IMG_4892.jpg, screenshot-2024.png, DSC_0043.jpg — losing an easy signal that tells crawlers what the image depicts before they read a single attribute
Filename convention framework: descriptive, keyword-relevant filenames for every new image upload, bulk rename plan for priority existing assets, and a publishing guide your team follows at upload time.
Oversized above-fold images with no preload directive — the browser downloads 800KB before rendering the first visible pixel, producing LCP scores that hurt rankings and drive bounce rates up
Above-fold image performance: LCP image identification per page type, preload hint implementation, WebP / AVIF delivery, and before/after Lighthouse validation with CrUX tracking for real-world improvement.
Our Approach
Five sequential layers that move from raw audit through technical optimisation, semantic enrichment, indexation submission, and measurable performance improvement.
Audit
Full inventory of your image library — alt text coverage, format distribution, file sizes, structured data presence, GSC image search performance, Core Web Vitals status, and indexation blockers.
Optimise
Format conversion (WebP / AVIF), compression with quality validation, responsive srcset, dimension attribution, lazy loading, preload hints for LCP images — every technical layer addressed.
Enrich
Alt text strategy at scale, descriptive filename conventions, structured data (ImageObject, Product, Article), and metadata enrichment — so crawlers understand every image's content and context.
Submit
Image sitemap generation and submission, Google Search Console configuration for image search, Discover and AI Overview eligibility validation, and indexation blocker removal.
Measure
Before/after benchmarks in GSC image search impressions, Lighthouse scores, and Core Web Vitals CrUX data — with a prioritised next-cycle roadmap for continuous improvement.
How It Works
From image library audit through technical optimisation, semantic enrichment, indexation submission, and measurable performance delivery — what happens at each stage and what you receive.
Structured audit covering alt text coverage, format distribution, file sizes, LCP image identification, structured data presence, GSC image search impressions, Core Web Vitals status, and indexation blockers. The audit produces a prioritised issue list scored by SEO impact — so the highest-leverage fixes happen first.
Format conversion to WebP / AVIF with SSIM-validated quality thresholds, lossless compression, responsive srcset and sizes attribute implementation, lazy loading for below-fold images, dimension declaration for CLS prevention, and preload hints for above-fold LCP images. Validated against PageSpeed Insights before handover.
Alt text written at scale for priority asset categories — product images, hero images, editorial photography — using intent-aligned templates your team can maintain. Structured data implemented (ImageObject, Product, Article) and validated in Rich Results Test. Filename convention guide produced for new uploads.
Image sitemap generated and submitted to Google Search Console. GSC image search performance configured for ongoing monitoring. Indexation blockers identified and resolved (robots.txt, noindex on images, x-robots tags). Discover and AI Overview eligibility validated — image dimensions, schema compliance, content signals.
Complete deliverable package with before/after benchmarks across GSC image search impressions, Lighthouse scores, and Core Web Vitals CrUX data. Prioritised next-cycle roadmap for assets not in scope. Publishing workflow checklist your team follows for every new image upload. Handover session and 30-day check-in included.
Sample Outputs
Four of the strategic outputs every image SEO engagement produces — audit reports, schema implementations, before/after performance data, and GSC impression growth.
hero-product.webp
team-photo.jpg
feature-diagram.png
blog-cover.jpg
icon-set.webp
Sample outputs shown for illustration. Every audit is tailored to your image library and technology stack.
Sample outputs shown for illustration. Every engagement produces outputs tailored to your image library, CMS, and business context.
What You Get
Every engagement produces team-ready outputs — built for execution and measurable improvement, not data dumps that sit in a folder.
Full inventory of your image library — alt text coverage, format distribution, file sizes, Core Web Vitals status, structured data gaps, and indexation blockers — with prioritised issue list.
WebP / AVIF converted images with quality-validated compression, responsive srcset, and dimension attributes — or a developer implementation guide if server-side conversion is preferred.
Intent-aligned alt text for every priority image category, plus scalable templates your team uses for ongoing uploads — so alt text quality doesn't degrade after the engagement ends.
ImageObject, Product, Article, or category-appropriate schema — implemented, validated in Rich Results Test, and documented for your developers to maintain going forward.
Complete image sitemap generated and submitted to Google Search Console — with monitoring configured so you can track image indexation and impressions from day one.
Descriptive, SEO-aligned filename patterns for your image categories — plus a bulk rename plan for priority existing assets and an upload checklist for your content team.
Lighthouse and CrUX benchmarks before and after optimisation — LCP, CLS, page weight, and Core Web Vitals pass/fail status — with GSC image search impression baseline.
Prioritised roadmap for assets not in this engagement's scope, publishing workflow checklist, handover session with your team, and a 30-day check-in to review early indexation and impression signals.
Pricing Plans
Image SEO engagements — from a targeted audit and priority fix list through to a full technical, semantic, and schema implementation with Core Web Vitals validation.
Full audit of your image library — alt text coverage, format analysis, Core Web Vitals assessment, structured data gaps, and a prioritised action list with impact scoring.
Complete image SEO implementation — technical optimisation, alt text at scale, structured data, image sitemap, before/after Lighthouse validation, and next-cycle roadmap.
Retainer-model image SEO — monthly library reviews, new asset optimisation, schema maintenance, and continuous Core Web Vitals monitoring as your content scales.
Tailored to your needs
FAQ
What's included, how image SEO differs from alt-text cleanup, Core Web Vitals, Google Shopping, scale, and platform support.
Related Services
Get Started
Technical. Semantic. Structural. Every layer of image SEO — from LCP-optimised delivery to rich-result-eligible schema — delivered in 7–10 days and maintained with templates your team can own.