
Ranking in the ChatGPT GPT Store and Plugin Ecosystem: A Practical Guide
ChatGPT’s “GPT Store” has opened a new marketplace for custom AI assistants, much like an app store for GPT-powered tools. With over 3 million custom GPTs created, standing out in this ecosystem is challenging (Introducing the GPT Store | OpenAI) (GPT Store Statistics & Facts: Contains 159.000 of the 3 million created GPTs). This guide explores how certain GPTs (and former ChatGPT plugins) achieve visibility and popularity, and provides actionable strategies to improve your own GPT’s ranking in the store and user recommendations.
Understanding the GPT Store and Plugin Ecosystem
The Evolution from Plugins to GPTs: In early 2024, OpenAI phased out the original ChatGPT plugins in favor of custom GPTs (10 of The Best ChatGPT Plugins to Get The Most From AI in 2024) (9 of the best custom GPTs for SEO in the GPT store). These GPTs are essentially mini-applications or tailored versions of ChatGPT that anyone can create (no coding required) and share on the GPT Store (9 of the best custom GPTs for SEO in the GPT store) (9 of the best custom GPTs for SEO in the GPT store). Paying ChatGPT users (Plus, Team, Enterprise) can browse and add these GPTs to enhance their ChatGPT experience (9 of the best custom GPTs for SEO in the GPT store). The GPT Store features leaderboards, categories (e.g. Writing, Productivity, Programming, etc.), and trending lists to help users discover popular GPTs (Introducing the GPT Store | OpenAI) (9 of the best custom GPTs for SEO in the GPT store).
Why Ranking Matters: Much like mobile app stores, higher visibility in the GPT Store can drive significantly more usage. GPTs that rank among the Top 12 in a category or appear in “Popular” or “Trending” sections get disproportionate attention from users (Introducing the GPT Store | OpenAI). OpenAI even features standout GPTs on a weekly basis (Introducing the GPT Store | OpenAI). For developers or creators, a high-ranking GPT means a larger user base and, potentially, future revenue sharing based on engagement (9 of the best custom GPTs for SEO in the GPT store) (Introducing the GPT Store | OpenAI). In short, optimization in this ecosystem – sometimes called “GPT Store Optimization (GSO)” – is critical for your GPT’s success (GPT Store Optimization – How to Rank in the OpenAI Store (2024)) (GPT Store Optimization – How to Rank in the OpenAI Store (2024)).
Insight: Early data shows that the most popular GPT categories are Productivity, Programming, and Image Generation (Most popular GPTs category : r/GPTStore – Reddit) – reflecting users’ demand for tools that boost efficiency or creativity. Keeping these trends in mind can help you align your GPT with what users are actively seeking.
Key Factors That Influence GPT Ranking and Discovery
Although OpenAI hasn’t published the exact ranking algorithm (GPT Store Ranking Methodology – GPT builders – OpenAI Developer Community), several key factors are known or strongly suspected to impact a GPT’s visibility:
- GPT Name (Title): The name of your GPT is the first thing users see, and it heavily influences discoverability. A distinctive, memorable name that also contains relevant keywords will rank better in store search results (GPT Store Optimization – How to Rank in the OpenAI Store (2024)). In fact, many top GPTs have simple, descriptive names like “Image Generator” or “Write For Me,” which directly reflect their function and match common user searches (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI). (One creator noted that GPTs with generic but popular names like “Math” were dominating rankings despite minimal features (GPTs with catchy names and GPT ranking – GPT builders – OpenAI Developer Community).)
- Description and Use Case Clarity: An informative, keyword-rich description helps both users and the ranking algorithm. Clearly explain what your GPT does and who it’s for. Include important keywords (and even synonyms) that users might search (GPT Store Optimization – How to Rank in the OpenAI Store (2024)) (GPT Store Optimization – How to Rank in the OpenAI Store (2025)). For example, the Consensus research GPT’s description highlights that it can search 200M academic papers and is ideal for students or researchers (11 Trending GPTs by Community on GPT Store – Analytics Vidhya). A good description improves your GPT’s visibility in searches and encourages users to try it by setting correct expectations.
- User Engagement and Usage: Engagement metrics are crucial. The GPT Store likely tracks the number of conversations or sessions users have with your GPT, how frequently they return, and how long they interact ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community) (GPT Store Optimization – How to Rank in the OpenAI Store (2024)). High usage and retention signal that your GPT is valuable, boosting its rank. In the old plugin ecosystem, OpenAI similarly favored plugins that drove lots of back-and-forth interactions and active use ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community) ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community). In other words, the more your GPT genuinely helps or delights users (keeping them engaged), the more the algorithm will favor it.
- Ratings and Reviews: The GPT Store has a 5-star rating system and tracks total reviews (OpenAI Adds Ratings and Richer Profiles to GPT Store). Positive ratings improve your credibility and likely factor into ranking (GPT Store Optimization – How to Rank in the OpenAI Store (2024)). Many of the top GPTs have thousands of reviews and generally higher ratings than their competitors. For instance, Write For Me maintains a ~4.2★ rating across 120k+ reviews, indicating strong user satisfaction (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI). Aim to accumulate genuine 4★ and 5★ reviews by delivering quality; a high average rating can set your GPT apart in the listings (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI).
- Uniqueness and Capability: GPTs that offer unique functionality or combine skills in novel ways stand out (GPT Store Optimization – How to Rank in the OpenAI Store (2024)). If your GPT incorporates extra knowledge (custom data) or uses tools/actions to do something other GPTs can’t, you have an edge. For example, during the plugin era, the WolframAlpha plugin (for advanced calculations) and Kayak plugin (for travel booking) became popular because they delivered capabilities beyond base ChatGPT. Similarly, GPTs that integrate with services via actions – e.g. a weather GPT that calls a weather API – might attract users looking for that specific “superpower.” OpenAI’s ranking might not directly boost GPTs just for having actions, but offering more value indirectly leads to better engagement and reviews, which improves ranking (GPTs with catchy names and GPT ranking – GPT builders – OpenAI Developer Community) (GPTs with catchy names and GPT ranking – GPT builders – OpenAI Developer Community).
- Popularity Momentum (Trending): The store’s “Trending” leaderboard likely considers recent growth in usage. New GPTs that see a surge of users in a short time can appear in trending lists even if their all-time install count is lower. This means a well-timed launch or external buzz can push you into the spotlight quickly. Conversely, sustained popularity keeps you in the “Most Popular” charts which seem to reflect cumulative usage (GPT Store Statistics & Facts: Contains 159.000 of the 3 million created GPTs) (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). Both are valuable: trending gives a burst of visibility, while staying in top overall results yields continuous traffic.
- Compliance and Quality: Although not a “ranking boost,” failing to comply with OpenAI’s policies will get your GPT demoted or removed. Avoid unsafe content and ensure factual accuracy in outputs. If users report your GPT for bad info or policy violations, that will hurt its chances. Also, technical quality matters – a GPT that frequently errors out or gives nonsense will lose users. (In the plugin days, slow or buggy plugins suffered in usage ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community); likewise, a GPT that frustrates users won’t retain them or earn good ratings.)
Takeaway: Optimizing for these factors – relevant naming, clear description, strong user engagement, high ratings, unique value, and quality – forms the foundation of ranking success (GPT Store Optimization – How to Rank in the OpenAI Store (2025)) (GPT Store Optimization – How to Rank in the OpenAI Store (2024)). Keep these in mind as we delve into concrete strategies.
Learning from Top-Ranking GPTs: Real Examples
Let’s look at some of the GPT Store’s star performers and what makes them successful:
- Image Generator – 6+ million uses. This GPT sits at #1 overall (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI). The name is self-explanatory, instantly telling users it creates images (leveraging DALL·E under the hood). Its creator, who built over 100 GPTs, gave it a clear purpose: generate or refine images from prompts (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). It likely became a default go-to for image tasks due to the straightforward name and high demand for image generation. Its thumbnail/logo presumably features something visual (attracting the eye in the DALL·E category list). However, its average rating is around 3.6★ (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI), suggesting huge usage but also room to improve results – a reminder to set expectations in description so users know the AI’s limits.
- Canva (Design Assistant) – 3+ million uses. Graphics design platform Canva launched an official GPT for creating presentations, social posts, logos and more within ChatGPT (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider) (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). It quickly rose to #2 overall. Why? Name recognition and a broad use case. The GPT’s name and icon leverage Canva’s brand, attracting users who trust that name. Its description highlights the ability to design various media easily, a compelling proposition. Even though its user rating is modest (~3★) (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI), sheer demand and promotion by Canva drove its popularity. This shows the power of branding and a wide-ranging use case (covering multiple design needs) in gaining traction.
- LogoCreator – 3+ million uses. An independent GPT focused on a single task: turning prompts into custom logos and app icons (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). It’s top-ranked in the DALL·E/image category just behind Image Generator (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). The success here comes from niche clarity. The name LogoCreator is concise and targeted – users who specifically need logos can find it easily. Its developer provided a solid prompt to generate logos, fulfilling a specific creative need. It also benefitted from being early in a high-demand category (many entrepreneurs and developers look for logo ideas). This GPT teaches us that specializing in a popular sub-niche can outperform broader tools in that niche.
- Write for Me – 5+ million uses. A GPT by Puzzle Labs (
puzzle.today
) that is the #1 Writing-category assistant (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). Its name is an action phrase that appeals to anyone looking to offload writing tasks. Write for Me promises high-quality text with a specified word count (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider), indicating a clear benefit. It likely gained users by directly addressing a common need (blog posts, emails, etc. on demand) in a straightforward way. Its high rating (~4.2★) and massive number of reviews suggest it consistently delivers on that promise (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI). The lesson: frame your GPT as a solution to a specific user story (e.g. “I need X written for me”) and deliver reliably. - Consensus (AI Research Assistant) – 5+ million uses. Built by the startup Consensus, this GPT lets users query a database of 200+ million academic papers and returns answers with citations (11 Trending GPTs by Community on GPT Store – Analytics Vidhya) (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). It’s an example of extra capability driving popularity – it does something vanilla ChatGPT couldn’t do by itself (academic search with sources). Consensus GPT is widely praised (4.3★) (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI) because it provides trustworthy, source-backed information, making it invaluable for students and researchers. Its name and description clearly convey a research focus. Moreover, it was featured by OpenAI as a top GPT and got media attention, which boosted adoption (GPT Store Statistics & Facts: Contains 159.000 of the 3 million created GPTs). A key takeaway here is that augmenting ChatGPT with a powerful external knowledge base or tool can create a breakout hit, especially if you communicate that capability clearly.
- Grimoire (Coding Wizard) – 2+ million uses. Grimoire, created by an indie studio, helps users build a website without coding (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). Its magical name (“Grimoire”) stands out and suggests a persona/theme (a coding “wizard”). Despite having fewer total users than the above examples, it enjoys one of the highest ratings (4.4★) (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI). This implies that those who do use it love it, likely due to its focused functionality (code-free website building) and perhaps a friendly guiding tone. Grimoire’s success shows that you can carve out a strong reputation by doing one complex task really well. A creative name can intrigue users, but it pairs best with an effective use case and great user experience.
- Kayak (Travel Assistant) – Leading Lifestyle GPT. Travel giant Kayak brought its brand to ChatGPT with a GPT that helps book flights, hotels, and rental cars via conversation (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). It quickly became the top GPT in the Lifestyle category (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). Similar to Canva, Kayak leveraged an existing user need (travel planning) and its own reputation. It likely integrates Kayak’s API, meaning it can provide real-time prices or recommendations – a compelling advantage. This example underscores the benefit of integrations and external data: if your GPT can tap into live information or services (and you advertise that), users will flock to it for tasks that normally require separate apps or searches.
- Fun and Novelty GPTs: Not all top GPTs are serious productivity tools. Cartoonize Yourself by an independent creator went viral by turning user photos into Pixar-style characters (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). Its quirky, fun value proposition (and social media buzz) got it high up in the charts. Likewise, Diagrams: Show Me gained popularity by making it easy to generate flowcharts or graphs from text instructions, solving a niche office problem in an entertaining way (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider). These cases show that a distinctive, shareable idea can propel a GPT upward – especially if it taps into social media trends or visual outputs that people like to share.
Summary of Lessons from Winners: Successful GPTs tend to have one or more of these qualities – an intuitive name that matches a high-demand function, a clear description of the benefit, a well-designed icon, strong functionality (often enhanced by external data or actions), and positive user feedback. Whether you’re a solo builder or a company, you can emulate these elements. Next, we’ll translate these into concrete tips for your GPT’s design and promotion.
Optimizing Your GPT’s Name, Description, and Prompt
The first impression your GPT makes is through its name and description in the store. Here’s how to optimize them:
- Use a Descriptive yet Distinct Name: Aim for a title that immediately tells users what it does and includes keywords they might search. Think of it like SEO for the store. For example, “PDF Reader Pro” is better than a vague name like “DocuAid” because users searching “PDF” or “reader” will find it. If possible, include a primary keyword (e.g. image, code, travel, PDF) and an action or outcome (e.g. Generator, Assistant, Finder). Keep it fairly short and easy to remember/pronounce (GPT Store Optimization – How to Rank in the OpenAI Store (2024)) (GPT Store Optimization – How to Rank in the OpenAI Store (2025)). Brainstorm: Research existing top GPT names for your category to see common terms (GPT Store Optimization – How to Rank in the OpenAI Store (2025)). You can even use a tool to check search volume of certain words (GPT Store Optimization – How to Rank in the OpenAI Store (2025)). However, ensure your name isn’t exactly the same as others – you need to be distinctive so users recognize your unique offering (and to avoid confusion if many GPTs share a similar name).
- Write a Clear, Keyword-Rich Description: In a few sentences, explain the core function, who it’s for, and how to use it. Front-load the description with important keywords and synonyms relevant to the problem you solve (GPT Store Optimization – How to Rank in the OpenAI Store (2024)). For instance: “AskYourPDF – Your AI PDF Research Assistant. Upload any PDF and chat with an AI that finds answers, summarizes sections, and extracts data from the document. Ideal for students reviewing articles, professionals analyzing reports, or anyone reading long PDFs.” This hypothetical description hits keywords (PDF, research, summarize, extract) and clarifies the use cases. A good format is often: 1) one-line tagline, 2) a brief feature list or capabilities sentence, and 3) optional examples of questions it can handle. Make sure the tone matches your GPT’s style (e.g. upbeat if it’s a fun tool, or straightforward if it’s for business). A well-crafted description improves search visibility and sets user expectations so you attract the right users who will appreciate your GPT (GPT Store Optimization – How to Rank in the OpenAI Store (2025)).
- Optimize the System Prompt and Instructions: Behind the scenes, your GPT’s system prompt/instructions should be finely tuned to deliver the promised functionality. This isn’t visible in the store listing, but it hugely impacts user satisfaction (which affects engagement and ratings). Ensure your instructions clearly define the GPT’s role and boundaries. For example, if you built a coding helper GPT, your system message might say: “You are CodeHelperGPT, an AI that fixes and explains code. Always provide step-by-step explanations in simple terms.” Test your GPT thoroughly with various inputs to refine these instructions. The goal is to have your GPT consistently produce helpful, relevant responses within its niche. A user who gets great results is more likely to continue using it and give a high rating. Conversely, if your GPT’s prompt isn’t tight enough and it responds off-topic or incorrectly often, users will abandon it. Tip: Include a friendly welcome message (the first thing the GPT says when opened) that guides new users. For example: “Hi, I’m the TravelBooker GPT! Tell me where you want to go, and I’ll help you find flights and hotels.” This kind of greeting (which you can set in the GPT builder) can instruct users on how to begin, showcasing your GPT’s capabilities upfront and leading to better first-time interactions.
- Leverage Categories and Tags: When configuring your GPT for the store, choose the most appropriate category (e.g. “Productivity” or “Education”). This ensures you show up in the right section where your target users browse. If multiple categories or tags are allowed, use them judiciously – don’t miscategorize just to get more visibility, as it can backfire with the wrong audience. For instance, a coding GPT should be in Programming (and perhaps also Productivity), but putting it under Lifestyle would only frustrate users looking for lifestyle tools. Being in the proper category helps your GPT compete on relevant leaderboards and get recommended to users interested in that domain (Introducing the GPT Store | OpenAI).
Designing an Eye-Catching Thumbnail and Persona
Visual appeal and personality can also influence which GPTs users click on and stick with:
- Create a Clean, Relevant Thumbnail (Logo): The GPT Store displays a small icon or thumbnail for each GPT. A high-quality, simple logo helps your GPT look professional and inviting (GPT Store Optimization – How to Rank in the OpenAI Store (2025)). You don’t need to be an artist – many GPT creators use basic shapes or icons that symbolize the GPT’s function. For example, a language translator GPT might use flags or a speech bubble; a coding GPT might use a code bracket symbol; an image generator might use a camera or landscape icon. Use contrasting colors so it stands out in both light and dark mode. OpenAI’s GPT builder provides a simple logo maker tool, or you can upload your own. Keep it uncluttered: tiny details won’t be visible in thumbnail size. Aim for a bold, recognizable graphic. Pro tip: Save your logo image with a filename that includes keywords (e.g.,
pdf-research-gpt-logo.png
) – this might slightly help SEO if OpenAI allows these images to be indexed (GPT Store Optimization – How to Rank in the OpenAI Store (2025)) (and at the very least, it’s good practice for general web searchability). - Craft a Consistent Tone/Persona: Decide on the tone your GPT will use in responses and stick to it. This shapes user experience. If it’s an educational tutor GPT, maybe you want a patient, friendly tone. If it’s a legal documents reader, perhaps a formal and concise tone is better. You can enforce this via your system prompt (“respond in a casual, upbeat tone” or “be concise and factual”). A consistent persona makes your GPT feel more polished and intentional. Users often mention “the GPT’s personality” in reviews – a helpful, pleasant tone can lead to positive word-of-mouth. Just ensure the tone fits the use case: a jokey, witty style might be great for a trivia or entertainment GPT, but would be inappropriate for a medical or coding assistant. Also, be mindful of not injecting too much unnecessary verbosity or roleplay unless that’s central to your GPT; many users prefer efficiency. The best practice is to be user-centric – what style would best help your target user achieve their goal with your GPT? Implement that from the get-go.
- Onboarding and UX: The first few exchanges often determine if a user keeps your GPT. Consider providing a brief help or example after the greeting. Some top GPTs present example prompts or a mini menu. For instance, after the initial hello, your GPT could list: “You can ask me to [Summarize a PDF] or [Find a specific section].” This doubles as both showcasing features and a visual element (if you use emojis or formatting to highlight options). It’s not exactly a ranking factor, but it is a retention factor – a smooth onboarding means more engagement, which in turn boosts ranking indirectly ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community). Good UX design within the chat (like instructive prompts, or gracefully handling invalid requests) will reflect in user reviews.
Focusing on High-Traction Use Cases
Not all GPT ideas are equal in the eyes of the users. When deciding what your custom GPT should do, consider the following to maximize traction:
- Solve a Common Problem: GPTs that address widespread needs tend to get more usage. Think productivity boosters, content creation, coding help, information lookup, learning tools, etc. The popularity of GPTs like Write for Me (general writing), Data Analyst (analyzing and visualizing data), or AskYourPDF (document Q&A) shows broad utility wins users (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider) (11 Trending GPTs by Community on GPT Store – Analytics Vidhya). Brainstorm tasks people frequently do with ChatGPT and see if you can do it better or more conveniently with a custom GPT. If your GPT idea is very niche, it might not attract a large audience – unless that niche is passionate and under-served.
- Ride Category Trends: As noted, categories like Productivity, Programming, and Image Generation are hot. Within these, some use cases are trending: e.g. in Programming, GPTs that debug code or generate entire apps from prompts are in demand; in Productivity, meeting summarizers or task list generators are popular. Creative fields (images, design, writing) always have appetite, but also competition. You can either pick a high-demand category and try to differentiate, or identify an emerging category where there’s user interest but few good GPTs yet. For example, if you notice many people asking ChatGPT about cooking or fitness routines, a well-designed Lifestyle GPT in those areas could gain traction. Do some research – for instance, see if any GPT in the store already covers the idea and check its stats. If similar GPTs have poor ratings, that’s an opportunity to fill the gap with a better implementation.
- Clarity of Use Case: Whatever domain you choose, frame your GPT around a clear use case. Users should know instantly when to use your GPT instead of the default ChatGPT. If it’s too general-purpose (“ChatGPT but slightly different”), it won’t stand out. Even a broad GPT like “Universal Primer” (which answers any question) tried to brand itself as a one-stop Q&A expert (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider), but such generic GPTs struggle to beat ChatGPT itself unless they add value. It’s often better to narrow the scope: e.g. “AI Resume Editor” that only works on improving resumes – that tells a specific group of users (job seekers) that it’s made for them, which is enticing. In fact, targeting a specific audience (students, marketers, travelers, etc.) in your GPT’s concept and description can help you gain a loyal user base within that segment.
- Innovation and Novelty: Don’t be afraid to be creative with your GPT’s purpose. Some of the most talked-about GPTs did something novel: turning images into cartoons, creating games, simulating famous personalities for fun, etc. Novelty can generate buzz, which brings in new users (and might get your GPT featured on social media or blogs). Just balance it with utility – a pure novelty GPT might spike in popularity then fade, whereas a useful GPT steadily grows. Ideally, you offer something fun and useful. If your GPT idea is innovative, highlight that uniqueness in the name or description so users know they can’t get that experience elsewhere.
Driving Engagement and Positive Feedback
Once users have discovered your GPT, the next challenge is keeping them and converting them into advocates (through good reviews and shares). Here are strategies to drive engagement and feedback:
- Deliver Quality Results Consistently: This is the single biggest factor for engagement. If your GPT actually solves the user’s problem or answers their query well, they will use it again. For instance, if you made a “Grammar Guru” GPT to fix writing, make sure it reliably corrects sentences and explains changes. Test edge cases and refine prompts to handle common user inputs. Also, update your GPT’s knowledge or examples as needed (especially if based on a changing field like news or tech) – showing that it’s up-to-date can impress users. Remember, every successful session is a win: it means the user might come back or tell others. On the flip side, if users get irrelevant or wrong answers frequently, they’ll abandon your GPT quickly (leading to high drop-off and possibly low ratings). So, invest time in fine-tuning responses within the GPT builder, and take advantage of any new features OpenAI provides (like adding a knowledge base file for specialized info, or actions for external data) to improve quality.
- Encourage User Interaction: Some GPTs implement a conversational style that encourages the user to go deeper. For example, after answering a question, your GPT might follow up with a helpful suggestion: “Let me know if you want more details on that topic or have another question!” This invites the user to continue rather than ending the session. More back-and-forth dialogue increases engagement metrics ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community). However, be careful not to be too pushy or spammy – the offer to help further should feel natural and context-aware. Another approach is to build in a small multi-step process; e.g., a travel GPT could start by asking a few preference questions (destinations, budget) rather than giving everything in one long answer. Guiding the user through steps can organically lengthen the interaction in a useful way.
- Ask for Feedback (At the Right Time): OpenAI now allows users to rate GPTs with stars and even send private feedback to creators (OpenAI Adds Ratings and Richer Profiles to GPT Store). You should proactively encourage satisfied users to leave a rating. A gentle prompt can be included in your GPT’s responses (but do this sparingly to avoid annoyance). For instance, if your GPT just successfully completed a task, it could say: “Glad I could help! If you’re enjoying this GPT, a quick rating or review in the store would mean a lot 🙏.” Maybe program this to happen only after a clearly successful interaction, and not in every answer. Additionally, monitor any private feedback you receive (OpenAI might relay user comments to you). Use that to improve your GPT or fix bugs – responsiveness to feedback can turn a mediocre GPT into a great one, which will reflect in future ratings.
- Keep Your GPT Updated: Treat your custom GPT as a living product. OpenAI frequently updates the platform (e.g., they may improve the GPT-4 model or add new tools). Stay informed on changes. If new capabilities roll out (like web browsing or new APIs), consider integrating them if relevant. Periodically update your prompts or knowledge base to make sure information isn’t outdated (users will downrate a news GPT that still cites last year’s data, for example). In your GPT’s description or welcome message, you can even version your updates (“Updated Apr 2025: Now includes live weather data!”). This signals to users that the GPT is actively maintained, which builds trust. Regular updates can also re-engage users (they might give it another try after an update) and possibly improve your search ranking by keeping content fres (GPT Store Optimization – How to Rank in the OpenAI Store (2025))】.
- Monitor Analytics: OpenAI has hinted at providing usage metrics and analytics in builder profile (OpenAI Adds Ratings and Richer Profiles to GPT Store)】. Use whatever data you have – number of conversations, drop-off points, user questions that went unanswered, etc. – to iterate. For example, if you see many users ask for a feature your GPT lacks, consider adding it (or at least updating the description to clarify it’s not available). Data-driven improvements ensure you focus on changes that will have impact. If you notice engagement dipping over time, investigate why: Has a competing GPT appeared? Is your prompt failing on new types of queries? Continuously learning from usage patterns will keep you competitive.
- Foster a Community (if applicable): If your GPT targets a community (say, developers, writers, or a fandom), you can encourage users to share their usage tips or best prompts with each other (perhaps on a forum or social media). This isn’t directly in ChatGPT, but you can mention a hashtag or forum in the description if one exists (“Join the discussion with other users at …”). A community of enthusiasts can drive a virtuous cycle of engagement, as they collectively find more ways to use your GPT and spread the word. Just be sure to follow OpenAI policies – direct users off-platform responsibly and don’t spam.
Promoting Your GPT Beyond the Store
Relying solely on organic discovery within ChatGPT can be slow, especially with thousands of GPTs in the store. Successful creators often promote externally to jumpstart usage:
- Share Direct Links: Every public GPT has a shareable link (chat.openai.com link). Promote this on platforms where your target users hang out: Twitter/X, LinkedIn, Reddit, Discord communities, etc. For instance, if you built an SEO content GPT, posting about it on an SEO forum or LinkedIn group can attract your first batch of users. Make sure to concisely explain the value when you share (“Check out my GPT that creates SEO-optimized blog outlines in seconds!”). Early traction from outside ChatGPT will boost your GPT’s “installs” and could land it in the trending list, multiplying visibility.
- Leverage Content Marketing: Write a short blog post or LinkedIn article introducing your GPT and demonstrating how to use it. Many top GPTs were featured in tech blogs or newsletters. If your GPT is newsworthy (first of its kind, tied to a popular trend, or built by a notable person/company), consider pitching it to AI news sites or community newsletters. For example, the Consensus GPT got press coverage because it was an interesting application of AI for researc (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider)】. Similarly, Cartoonize Yourself spread through a viral tweet by its creator. Even a simple YouTube demo or GIF shared on social media can draw interest. Showcasing your GPT in action helps users “get it” and can entice them to try it out.
- Cross-Promote Your GPTs: If you have multiple GPTs, use each to boost the others. You can mention your other GPTs in the descriptions or even within responses when relevant. For example, “I also have a Travel Planner GPT – check it out for a complete itinerary!” (Don’t overdo this within the chat, but a brief mention at the end of a session or a list of “Related GPTs” in the description can work.) Some creators use a single landing page listing all their GPTs and include that link in their builder profile or GPT description (GPT Store Optimization – How to Rank in the OpenAI Store (2025))】. Cross-promotion keeps users within your ecosystem of GPTs, increasing overall engagement. If someone likes one of your GPTs, they’re a prime candidate to try your others.
- Encourage External Reviews or Mentions: If users really love your GPT, they might be willing to write about it or recommend it. You can subtly encourage this by connecting with your user base. For instance, include a note in your profile or description like, “Built by @YourName – let me know on Twitter if you have suggestions!” Personal engagement can turn users into advocates. One caveat: avoid incentivizing fake reviews or astroturfing – genuine praise is what you want. Focus on making your users happy, and they may naturally spread the word. You can also list your GPT on third-party directories (some websites have emerged to catalog GPT Store apps, similar to app review sites). Being listed in those “Top GPTs” roundups (for example, in blog lists or on sites like whatplugin.ai) can drive additional traffi (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI)】.
- Build Backlinks and SEO: Outside the ChatGPT environment, treat your GPT like a product page. If you have a personal or company website, add a page about your GPT with a link to it. The SEO.ai team (creators of a popular GPT) suggests that building backlinks to your GPT’s share link can improve its ranking on Google and possibly even within the stor (GPT Store Optimization – How to Rank in the OpenAI Store (2025)) (GPT Store Optimization – How to Rank in the OpenAI Store (2025))】. While it’s unclear how much web SEO affects GPT Store search, having a presence on search engines can’t hurt – users might literally google for “best GPT for ___” and find your page. If your GPT’s link or name appears on high-authority sites, that adds credibility. At minimum, it will bring more users from the web into ChatGPT to add your GPT.
- Utilize Social Proof: If your GPT reaches a milestone (say 10k users or a 4.8★ rating), you can tout that in promotions: “Join 10,000+ users using XYZ GPT!” Social proof helps convince new users that your GPT is worthwhile. Within the GPT Store, users can see number of reviews and the star rating at a glanc (OpenAI Adds Ratings and Richer Profiles to GPT Store)】, which already provides social proof – but outside, you may need to mention these points. Also, highlight any endorsements: “Featured in [Tech Blog] as a top GPT for productivity (OpenAI Unveiled the GPT Store Last Month. Here Are the Most Popular Apps so Far. – Business Insider)】 if it happened, or even a quote from a happy user (with permission). This kind of marketing can significantly boost adoption.
Optional Checklist for GPT Store Success
- Name includes target keywords (and is unique/memorable enough).
- Description clearly states what the GPT does and who it’s for, using relevant keywords and an inviting tone.
- Thumbnail/logo is attractive and indicative of the GPT’s function, with clear imagery or iconography.
- System prompt and instructions are well-tuned – GPT behaves reliably and helpfully within its domain.
- Welcome message / onboarding guides the user on how to use the GPT effectively.
- Category selection is appropriate, ensuring the GPT appears in the right part of the store.
- Tested for quality – answers are accurate, on-topic, and the GPT handles edge cases or politely fails if it must.
- Encourage engagement by being conversational and offering help or follow-ups when relevant.
- Monitor and encourage ratings/reviews: ask happy users for a rating, and check feedback for improvement idea (GPT Store Optimization – How to Rank in the OpenAI Store (2025))】.
- Regularly update the GPT’s prompt, knowledge, or features to keep it fresh and useful.
- Promote externally: share the GPT link on social media, forums, or with relevant communities to drive initial traffic.
- Cross-link your projects: if you have multiple GPTs or a website, interlink them to funnel users across your tool (GPT Store Optimization – How to Rank in the OpenAI Store (2025))】.
- Stay policy-compliant: avoid disallowed content and ensure factual responses, to maintain trust and avoid penalties.
- Analyze usage (if data available) to find and fix drop-off points or unmet user needs.
- Be patient and persistent: building a user base can take time. Continuously improve your GPT and promote it – momentum can build slowly and then snowball once you hit the charts.
Summary & Next Steps
Climbing the ranks in the ChatGPT GPT Store is part art (understanding user psychology) and part science (leveraging the ranking factors and analytics). By crafting an appealing name and description that speak to a real user need, providing a great user experience (through prompt design, persona, and quality outputs), and actively promoting and iterating on your GPT, you can significantly improve its visibility. We’ve seen that GPTs which nail a specific use case – especially in high-interest domains like writing, coding, research, or image creation – tend to rise to the top, especially if they gather strong engagement and review (The Era of Tailored Intelligence: Charting the Growth and Market Impact of Custom GPTs – Originality.AI) (GPT Store Optimization – How to Rank in the OpenAI Store (2024))】. Remember that what worked in the plugin ecosystem also holds true now: tools that deliver value, maintain user trust, and align with platform goals naturally get recommended mor ([Guide] How to rank your plugin on page 1 – Plugins / Actions builders – OpenAI Developer Community)】.
As a developer or creator, focus on helping users solve problems or enjoy new experiences with your GPT – ranking follows from fulfilling that mission. Use the strategies and examples in this guide as a roadmap. With a bit of optimization and outreach, your GPT could be the next one featured on the leaderboard, attracting thousands of conversations. Good luck, and happy building!
Author Profile

- Delivering comprehensive IT management with expert support solutions and managed services tailored for your business.