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Part of Merchant Center

Image Fixer

Stop losing impressions to bad photos

Image Fixer
What are LLMs and why do they matter for your business?

LLM stands for Large Language Model. These are the artificial intelligence systems behind tools like ChatGPT, Google Gemini, Claude, and Perplexity. They work by processing enormous amounts of text to learn human language patterns, which enables them to answer questions, generate content, and hold natural conversations.

When a user asks ChatGPT "what's the best project management tool?" or asks Perplexity "which laptop should I buy for graphic design?", the LLM analyzes everything it learned from the web and selects the sources it considers most trustworthy to build its response. If your brand, product, or website doesn't have the right signals, the model simply won't include you in that answer, and your competition will take that spot.

Google AI Overviews is Google's version of this technology: instead of showing just a list of links, it now generates a direct AI-powered answer at the top of search results. This means the first result many users see is no longer a link to your site, but an AI-generated response that may or may not mention you.

In short: LLMs are the new intermediaries between your business and your potential customers. More and more people use these tools to research, compare, and decide what to buy. AuraMetrics helps you ensure that when AI answers questions about your industry, your brand is part of the answer.

What it does

Image Fixer analyzes your page's images and detects Google Merchant Center compliance issues, missing metadata (alt text, Schema.org Product), non-optimal formats, and errors that can cause Google Shopping rejections. It does not automatically fix images. It generates a detailed image-by-image diagnostic with the status of each one (approved, at risk, likely rejected) and a prioritized roadmap for you or your team to resolve the issues found.

Why it matters

Product images are the first impression of your catalog. Google Merchant Center rejects products with images that violate its policies: non-white backgrounds, watermarks, overlaid text, low resolution. Additionally, images without descriptive alt text are invisible to Google Images (22% of e-commerce traffic) and to LLMs generating shopping responses. Without a systematic diagnostic, these issues go unnoticed until rejections have already impacted your sales.

How it works

The module scans your page's images using GPT-4o and evaluates them against multiple criteria: Google Merchant Center policies (backgrounds, watermarks, overlaid text, quality), alt text presence and quality, image format and size, lazy loading, and Schema.org Product. It generates a report with an overall Health Score, image-by-image detail with status, detected issue categories, estimated Merchant Center impact, and a prioritized roadmap with effort required for each fix.

Metrics you get

Overall image Health Score (0-100)
Images with critical issues detected
Google Merchant Center compliance status per image
Missing or inadequate alt text
Non-optimal image formats (JPEG/PNG vs WebP)
Images without lazy loading affecting LCP
Schema.org Product for images evaluated
Prioritized roadmap by impact and effort

Recommended use cases

1Audit product images before submitting to Google Merchant Center
2Detect images that may cause Google Shopping rejections
3Identify missing or inadequate alt text on product images
4Verify formats, sizes, and quality for Google policy compliance
5Evaluate image structured data (Schema.org Product)
6Generate a prioritized action plan to resolve image issues

Frequently asked questions

Does Image Fixer automatically fix images?

No. Image Fixer analyzes and detects issues in your images: missing metadata, format errors, Merchant Center compliance, inadequate alt text, and more. It generates a detailed report with found issues and prioritized recommendations for you or your team to address.

What types of issues does it detect?

It detects wrong backgrounds, watermarks, overlaid text, insufficient quality, missing or generic alt text, non-optimal formats (JPEG/PNG instead of WebP), lack of lazy loading, missing Schema.org Product for images, and violations of Google Merchant Center policies.

Does it only work for e-commerce?

It works best for e-commerce and product catalogs, but also analyzes images on any type of site. For non-e-commerce sites, it focuses on alt text, formats, sizes, lazy loading, and Google Images optimization.

How does it relate to Google Merchant Center?

It evaluates each image against current Merchant Center policies. It tells you which images would likely be approved, which are at risk, and which would be rejected, with the specific reason for each issue.

How often should I use it?

We recommend using it after adding new products, before Shopping campaigns, and when Google updates its Merchant Center policies. Also when making bulk image changes to your catalog.

Does it detect performance issues like LCP?

Yes. It identifies heavy images without lazy loading that affect Largest Contentful Paint (LCP) and Core Web Vitals, which directly impacts your Google ranking.

Can I analyze competitor images?

Yes. Each domain gets 3 free competitor analyses per month. Activate competitor mode in the module, select your own domain, and analyze the competitor URL.

What about decorative (non-product) images?

The module identifies them and evaluates them separately. Product images receive full Merchant Center analysis, while decorative images are evaluated for alt text, format, and performance.

Image Fixer

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