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Putting ChatGPT for SEO Metadata to the Test - Firebrand
Since ChatGPT’s explosion of growth starting in 2022, it has become the go-to free tool for generative AI across many industries — with digital marketing being one the most widely adopted. Within digital marketing, the use of ChatGPT for SEO has grown tremendously and ChatGPT SEO use cases are becoming more and more refined. Our Firebrand Labs team’s mission is to test generative AI tools and determine where they may fit best for our clients. So, we have put ChatGPT for SEO to the test — specifically with its ability to help generate metadata efficiently and accurately. Let’s dive into the best ChatGPT prompts for SEO metadata, and how to use the tool to your advantage when executing metadata audits and fixes for your indexable web pages.
How our test worked
Our approach began with identifying key criteria that would be used as a determining factor for ChatGPT’s efficacy as a tool for generating metadata. The end goal was clear: using ChatGPT for SEO metadata generation would have to not only be time-saving, but produce outputs of adequate quality that accurately describe webpage material. In this test, we used ChatGPT for meta descriptions and also did some testing with rewriting and generating title tags.
With that said, the following are key qualifiers we used to identify the best ChatGPT prompts for SEO metadata and its overall effectiveness:
Read on for a full recap of ChatGPT for SEO metadata:
The first part of our test focused on testing ChatGPT for meta descriptions. We started out using ChatGPT with the intention of making metadata generation quicker and more efficient for identified web pages than manual writing. Our first ChatGPT SEO prompt tested our first key qualifier: can ChatGPT generate meta descriptions for multiple webpages at once, while also taking into account our character count parameters (that are based on Yoast best practices)?
Prompt #1: write me a meta description maximum 155 characters for the following webpages:
https://www.firebrand.marketing/2023/08/the-5-biggest-content-marketing-mistakes-startups-make/
https://www.firebrand.marketing/2023/07/will-threads-matter-for-pr/
https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/
https://www.firebrand.marketing/2023/06/unlocking-the-soul-of-your-brand/
ChatGPT’s Response:
1\\. “Avoid startup content pitfalls. Learn 5 key mistakes for effective strategies. Expert insights for success.”
2\\. “Exploring PR thread impact. Stay updated on evolving strategies. Insights into modern PR landscape.”
3\\. “Beware the auto MQL curse. Discover lead engagement tactics. Navigate effective lead qualification.”
4\\. “Organic PR’s vital role. Boost brand visibility holistically. Insights for a powerful strategy.”
5\\. “Unlock your brand’s essence. Strategies for authentic development. Elevate your brand’s impact.”
The initial output checks off both criteria — meta descriptions were generated for all the URLs included in the prompt, and each are under 155 characters. There was one error made by ChatGPT in regards to content accuracy for URL 2, which makes that meta description null and void. Since ChatGPT showed it could handle five URLs in the prompt, we followed up with a prompt that included 20 URLs as a test for metadata audits for large sites, or sites that have a large number of webpages that have missing or trailing meta descriptions.
Prompt #2: write me a meta description maximum 155 characters for the following webpages:
https://www.firebrand.marketing/2023/07/will-threads-matter-for-pr/
https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/
https://www.firebrand.marketing/2023/06/unlocking-the-soul-of-your-brand/
https://www.firebrand.marketing/about-pr-digital-marketing-agency-san-francisco/
https://www.firebrand.marketing/case-studies/
https://www.firebrand.marketing/multiplier-marketing/
https://www.firebrand.marketing/resources/
https://www.firebrand.marketing/store/
https://www.firebrand.marketing/2023/07/will-threads-matter-for-pr/
https://www.firebrand.marketing/contact-bay-area-pr-marketing-firm/
https://www.firebrand.marketing/2020/12/understanding-the-value-of-assisted-conversions/
https://www.firebrand.marketing/client-testimonials/
https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/
https://www.firebrand.marketing/why-firebrand/
https://www.firebrand.marketing/safe-start-pledge/
https://www.firebrand.marketing/firebrand-team/
https://www.firebrand.marketing/join-best-digital-marketing-agencies-to-work-for/
https://www.firebrand.marketing/cookie\\\\\\\_policy/
ChatGPT’s Response:
1\\. Avoid startup content pitfalls. Learn 5 key mistakes for effective strategies. Expert insights for success.”
2\\. “Exploring PR thread impact. Stay updated on evolving strategies. Insights into modern PR landscape.”
3\\. “Beware auto MQL curse. Discover lead engagement tactics. Navigate effective lead qualification.”
4\\. “Organic PR’s vital role. Boost brand visibility holistically. Insights for a powerful strategy.”
5\\. “Unlock brand’s essence. Strategies for authentic development. Elevate your brand’s impact.”
6\\. “About us – PR & digital marketing agency in SF. Crafting success stories with strategic expertise.”
7\\. “Success stories that speak. Explore our case studies for insights into marketing triumphs.”
8\\. “Unlock growth with Multiplier Marketing. Amplify results through strategic collaboration.”
9\\. “Fuel your insights with our resources. Stay informed and empowered for marketing success.”
10\\. “Discover our store. Resources to drive your marketing journey. Elevate your strategies.”
11\\. “Get insights on PR threads’ significance. Navigate evolving PR landscape with our expertise.”
12\\. “Connect with us. Leading Bay Area PR & marketing firm. Let’s create success together.”
13\\. “Understanding assisted conversions’ value. Unveil the impact on your marketing strategies.”
14\\. “Hear from our clients. Real stories of success. Partner with us for your marketing journey.”
15\\. “Explore auto MQL curse’s impact. Strategize lead engagement for better conversions.”
16\\. “Why choose Firebrand? Discover our approach to PR & marketing success.”
17\\. “Our commitment to safety. Explore our Safe Start Pledge for a secure partnership.”
18\\. “Meet the Firebrand team. Experts driving PR & marketing excellence.”
19\\. “Join the best digital marketing agencies. Be a part of our innovative team.”
20\\. “Our cookie policy. Learn how we use data to enhance your browsing experience.”
The expanded URL test was successful here as well. ChatGPT generated meta descriptions for all 20 URLs included in the prompt, and each are under 155 characters.
Now that we know a large batch of URLs can be entered within a prompt to generate ChatGPT metadata, it’s time to assess quality further as a key indicator. In an attempt to objectively assess meta description quality, we used the following qualification questions:
With these key qualifiers in place, we examined the ChatGPT meta description outputs — where we found mixed results.
Let’s first look at one of the better examples: for the page “https://www.firebrand.marketing/client-testimonials/” the meta description in output #14 reads “Hear from our clients. Real stories of success. Partner with us for your marketing journey.” Here the ChatGPT meta description checks off all boxes, where the purpose of the page is conveyed, accurately described, and is good enough to require no manual edits before it can go live.
Now, let’s look at a subpar example: for the page “https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/ the meta description in output #15 reads “Explore auto MQL curse’s impact. Strategize lead engagement for better conversions.” Here the ChatGPT meta description fails in a few areas. First off, the ChatGPT-generated meta description does not do an adequate job conveying that this is a thought leadership piece with vague messaging and wording. The meta description fails to either highlight a key takeaway from the blog piece or convey that it is an informative piece of content. The use of multiple verbs to start phrases confuses the reader that it could be webpage content with a service offering. Additionally, manual editing is necessary to finalize this meta description before it goes live on the website.
These mixed results created the need for an additional test
We examined ChatGPT’s ability to generate multiple metadata options for a set of web pages in a given prompt. This should provide us with enough options that one is adequate so we can reduce manual editing as much as possible. Because let’s not forget, the end goal of this generative AI test is to save time in making metadata changes.
Prompt #3: write me 3 meta descriptions maximum 155 characters for each of the following webpages:
https://www.firebrand.marketing/2023/07/will-threads-matter-for-pr/
https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/
https://www.firebrand.marketing/2023/06/unlocking-the-soul-of-your-brand/
https://www.firebrand.marketing/case-studies/
https://www.firebrand.marketing/multiplier-marketing/
https://www.firebrand.marketing/resources/
https://www.firebrand.marketing/store/
https://www.firebrand.marketing/2023/07/will-threads-matter-for-pr/
https://www.firebrand.marketing/contact-bay-area-pr-marketing-firm/
https://www.firebrand.marketing/client-testimonials/
https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/
https://www.firebrand.marketing/why-firebrand/
https://www.firebrand.marketing/safe-start-pledge/
https://www.firebrand.marketing/firebrand-team/
https://www.firebrand.marketing/cookie\\\\\\\_policy/
ChatGPT’s Response:
Startup Content Mistakes:
1\\. “Steer clear of content pitfalls. Discover startup mistakes for successful marketing strategies.”
2\\. “Avoiding content errors in startups. Learn from key blunders for effective growth.”
3\\. “Startup content marketing missteps. Transform mistakes into opportunities for success.”
Threads & PR Impact:
1\\. “Unraveling PR thread significance. Stay updated with evolving strategies for modern PR.”
2\\. “PR threads’ influence explored. Insights into navigating the dynamic PR landscape.”
3\\. “Discover PR thread impact. Elevate strategies with insights into effective communication.”
Automatic MQL Challenge:
1\\. “Beware the auto MQL trap. Engage leads effectively with tactics to overcome challenges.”
2\\. “Navigating the automatic MQL curse. Strategies to convert leads with meaningful engagement.”
3\\. “Unlocking auto MQL solutions. Transform challenges into successful lead engagement.”
\\\_(Note: Due to character limitations, some descriptions may have slight variations in wording while maintaining the essence of the message.)\\\_
Here, the ChatGPT meta description prompt resulted in three metadata variations as requested, however the response stopped generating after the first 3 URLs in the list. The response did maintain the character count parameters (with a note about the results copy in regards to character limitations). However, the overall goal of generating bulk variations for the entire list of pages was not met. In turn, we followed up and tested a similar ChatGPT meta description prompt with fewer URLs (ten to be exact, half of the previous prompt). The response this time generated a meta description for each webpage but failed to give 3 variations and instead one for each. We followed up with a conversational prompt calling out the error:
Follow up to Prompt #3: you did not give me 3 variations for each webpage
ChatGPT’s Response:
I apologize for the oversight. Here are three variations of meta descriptions for each webpage:
1\\. https://www.firebrand.marketing/2023/08/the-5-biggest-content-marketing-mistakes-startups-make/:
2\\. https://www.firebrand.marketing/2023/07/will-threads-matter-for-pr/:
3\\. https://www.firebrand.marketing/2023/07/the-curse-of-the-automatic-mql/:
5\\. https://www.firebrand.marketing/2023/06/unlocking-the-soul-of-your-brand/:
6\\. https://www.firebrand.marketing/about-pr-digital-marketing-agency-san-francisco/:
7\\. https://www.firebrand.marketing/case-studies/:
8\\. https://www.firebrand.marketing/multiplier-marketing/:
9\\. https://www.firebrand.marketing/resources/:
10\\. https://www.firebrand.marketing/store/:
Bingo! The follow up to call out the error in the initial ChatGPT meta description prompt resulted in a fix where we were able to obtain three metadata variations for each webpage. We then followed up by testing the initial prompt with the full list of 20 URLs that failed with a conversational call out of the error, but ChatGPT made the same error of only generating meta descriptions for the first few URLs.
Our takeaway ultimately after testing different quantities of URLs was that ChatGPT could handle generating multiple variations for between 10-15 URLs in a given prompt, but then was not able to correct itself. This could be due to the token limit being reached within GPT 3.5. With that said, we were able to drill down a best practice for the quantity of URLs in a given ChatGPT meta description prompt to successfully output multiple variations, given that our previous testing verified that adequate quality metadata was being generated with the correct parameters in place.
Takeaways and best practices: ChatGPT for SEO meta descriptions
Takeaways:
ChatGPT for SEO Metadata Best Practices:
There are certainly dos and don’ts when it comes to using ChatGPT for SEO metadata. Here is a full breakdown of suggestions from our Firebrand Labs team to get the best results and make metadata audits more efficient:
Overall, after much testing done by Firebrand Labs, we certainly recommend using ChatGPT for SEO metadata. Website metadata audits can take hours (or even days!) depending on the size of a site and how many pages need fixes — whether it’s pages missing metadata or metadata that needs to be corrected or improved. So, leveraging generative AI for metadata copy is certainly becoming an effective way to accelerate this process for SEOs, and when done right it is a no-brainer.
© 2025 Firebrand Communications LLC
Original source: https://www.firebrand.marketing/2023/08/putting-chatgpt-for-seo-metadata-to-the-test
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