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10 Practical Ways to Use ChatGPT's New Vision Update for Image Recognition

Author: Skill Leap AITime: 2024-02-11 08:00:16

Table of Contents

Introduction to ChatGPT's Vision Capability for SEO

ChatGPT recently received an exciting update called Vision which allows it to analyze images and screenshots. This new capability is part of ChatGPT Plus, so it is not available in the free versions. The Vision update started rolling out in late 2022 and is expected to reach all Plus users by the end of October 2023.

To check if you have access to Vision, go to ChatGPT's default conversation mode on desktop or mobile and look for the 'Add Image' icon. If the icon is present, you can start uploading images and screenshots for analysis.

What is ChatGPT's Vision Capability?

ChatGPT's Vision update gives it the ability to 'see' images and screenshots in order to understand, describe and extract information from visual content. It can read text, interpret charts/graphs, recognize objects and scenes, solve visual puzzles and more. While its vision capability is not perfect, it marks a major step towards more intuitive and natural conversations between humans and AI.

How Can Vision Be Used for SEO?

There are many practical SEO applications of ChatGPT's new vision capability: It can analyze on-page elements to check optimization best practices. You can get feedback on title tag length, meta description relevance, headline structure, image alt text and more. Competitive analysis becomes easier by assessing competitors' sites, ads and SERP listings. ChatGPT can extract and compare traffic metrics, backlink profiles, keyword rankings and other SEO factors. By processing charts and graphs, it simplifies reporting and identifying trends and opportunities. You can turn analytics screenshots into actionable insights.

Using ChatGPT Vision for On-Page SEO Optimization

One of the most useful applications of Vision is optimizing individual pages for SEO. While free SEO tools can evaluate certain elements, there are limitations to what they can analyze.

With Vision, you can get ChatGPT's AI assessment of all on-page elements by simply uploading screenshots. It can check that title tags are sufficiently long and include target keywords, meta descriptions are written to generate clicks, header tags outline logical page structure, image file names and alt text are descriptive, and more.

Conducting Competitor SEO Research

Major search engine ranking factors include backlinks, domain/page authority metrics, and keyword rankings. Traditionally, gathering this competitor data requires using multiple paid tools.

With ChatGPT's vision, you can now conduct on-the-fly competitor SEO audits for free. Just screenshot their backlink and metrics profiles, SERP snippets, and more. Then get ChatGPT's detailed analysis comparing their SEO strengths relative to yours.

Translating SEO Reports Into Action Plans

The data in SEO reports means nothing without interpretation. While the metrics indicate performance issues and opportunities, formulating growth strategies still requires human analysis.

ChatGPT can crunch the numbers in screenshotted reports to highlight the most critical information. It takes data-driven insights around organic traffic, rankings, click-through-rates, and more to create targeted SEO action plans.

Limitations of ChatGPT's Vision Capability

While this new visual interface paves the way for advanced AI, there are some key limitations in its current state that impact SEO use cases...

Image resolution quality significantly affects analysis accuracy. Low quality screenshots may fail to provide useful insights.

There are restrictions around assessing medical images or providing health/medical advice.

It cannot consistently identify brand logos and elements that require contextual knowledge.

The Future Possibilities of AI Vision

ChatGPT's vision update represents astonishing progress, but is still early stage and flawed. As the AI model trains on more labelled visual data, the capabilities will rapidly improve.

In the near future, we can expect extremely accurate optical character recognition to interpret fine text details, scene understanding to break down complex charts/graphs, and image generation integration to enrich content.

For digital marketing and SEO, AI vision paves the way for quick, comprehensive and integrated technical/competitive audits that catch issues human analysis would miss.


Q: How do I access ChatGPT's Vision capability?
A: Vision is currently available in ChatGPT's default mode for Plus users. Look for the 'add image' icon to upload pictures.

Q: What types of images work best with Vision?
A: Higher resolution images with clear text and details work best. Avoid low quality screenshots.

Q: Can Vision read and understand X-rays?
A: No, ChatGPT is not a medical professional. It avoids providing analysis of confidential medical images.

Q: Does Vision work with other ChatGPT modes like DALL-E?
A: Not yet - Vision is limited to the default mode. DALL-E and others don't have image inputs.

Q: How accurate is Vision at identifying logos?
A: It can identify some clear brand logos but may struggle with more abstract or complex logo designs.

Q: Can Vision translate any language?
A: It has capabilities to translate common languages but works best with clear, high-resolution text.

Q: What are some limitations of Vision?
A: Resolution can impact ability to analyze images. It also avoids providing any confidential info like medical analysis.

Q: Will Vision keep improving?
A: Yes, Anthropic will likely continue enhancing Vision as ChatGPT develops. More applications will emerge.

Q: Where can I learn more about AI vision tools?
A: There are online courses available to dive deeper into Vision, image generation, and other AI capabilities.

Q: What's next for ChatGPT's Vision update?
A: We can expect more incremental improvements as Anthropic gathers feedback and trains the AI on more data.