### PromoteKit Loading

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

Loads the PromoteKit JavaScript file asynchronously. PromoteKit is likely a service for marketing automation or lead generation, identified by a specific data attribute.

```javascript
https://cdn.promotekit.com/promotekit.js
```

--------------------------------

### Mixpanel Initialization and Configuration

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

This snippet initializes the Mixpanel tracking library, configures custom library URLs, and sets up event tracking for various user actions. It includes methods for setting user properties, tracking charges, and managing user data.

```javascript
var f, a, i, g, b; (f = document).addEventListener("DOMContentLoaded", function() {
    var d = f.createElement("script");
    var e = f.getElementsByTagName("script")[0];
    d.type = "text/javascript";
    d.async = !0;
    d.src = "//cdn.mxpnl.com/libs/mixpanel-2-latest.min.js";
    e.parentNode.insertBefore(d, e);
    a = window.mixpanel;
    a.init("YOUR_MIXPANEL_TOKEN", {
        track_pageview: !0
    });
    var c = "people.set people.set_once people.unset people.increment people.append people.union people.track_charge people.clear_charges people.delete_user people.remove".split(" ");
    for (var h = 0; h < c.length; h++) {
        a[c[h]] = function() {};
    }
    a.get_group = function() {
        function b(c) {
            d[c] = function() {
                call2_args = arguments;
                call2 = [c].concat(Array.prototype.slice.call(call2_args, 0));
                a.push([e, call2]);
            };
        }
        for (var d = {}, e = ["get_group"].concat(Array.prototype.slice.call(arguments, 0)), c = 0; c < j.length; c++) {
            b(j[c]);
        }
        return d;
    };
    a._i.push([e, f, c]);
});

window.mixpanel = window.mixpanel || [];
window.mixpanel.push = window.mixpanel.push || function() {
    function ga(a, b) {
        var c = f.createElement("script");
        var d = f.getElementsByTagName("script")[0];
        c.type = "text/javascript";
        c.async = !0;
        c.src = "undefined" !== typeof MIXPANEL_CUSTOM_LIB_URL ? MIXPANEL_CUSTOM_LIB_URL : "file:" === f.location.protocol && "//cdn.mxpnl.com/libs/mixpanel-2-latest.min.js".match(/^\\/\\//) ? "https://cdn.mxpnl.com/libs/mixpanel-2-latest.min.js" : "//cdn.mxpnl.com/libs/mixpanel-2-latest.min.js";
        d.parentNode.insertBefore(c, d);
    }
    ga();
    return Array.prototype.push.apply(window.mixpanel, arguments);
};

var i = "tracking has_opted_out_tracking clear_opt_in_out_tracking start_batch_senders people.set people.set_once people.unset people.increment people.append people.union people.track_charge people.clear_charges people.delete_user people.remove".split(" ");
for (var h = 0; h < i.length; h++) {
    g(a, i[h]);
}

var j = "set set_once union unset remove delete".split(" ");
a.get_group = function() {
    function b(c) {
        d[c] = function() {
            call2_args = arguments;
            call2 = [c].concat(Array.prototype.slice.call(call2_args, 0));
            a.push([e, call2]);
        };
    }
    for (var d = {}, e = ["get_group"].concat(Array.prototype.slice.call(arguments, 0)), c = 0; c < j.length; c++) {
        b(j[c]);
    }
    return d;
};

a._i.push([e, f, c]);
```

--------------------------------

### Microsoft Clarity Initialization

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

Initializes Microsoft Clarity, a web analytics tool that helps understand user behavior through session recordings and heatmaps. The script is loaded asynchronously.

```javascript
function(c,l,a,r,i,t,y){
 c[a]=c[a]||function(){(c[a].q=c[a].q||[]).push(arguments)};
 t=l.createElement(r);t.async=1;t.src="https://www.clarity.ms/tag/"+i;
 y=l.getElementsByTagName(r)[0];y.parentNode.insertBefore(t,y);
 })(window, document, "clarity", "script", "rx59m0x6m3");
```

--------------------------------

### Mixpanel Initialization

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

Initializes Mixpanel, a product analytics service. It is configured with a debug mode enabled and set to track page views and use local storage for persistence.

```javascript
mixpanel.init("b14064177e9fb73f8c370761be28f148", { debug: true, track_pageview: true, persistence: 'localStorage' });
```

--------------------------------

### Initialize Mixpanel Tracking

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

This JavaScript code initializes Mixpanel tracking with a given project token. It sets up the necessary functions for tracking events, user properties, and other analytics features.

```javascript
self.__next_f = self.__next_f || [];
self.__next_f.push([0]);
self.__next_f.push([2, null]);
self.__next_f.push([1, "1:HL[\"/_next/static/media/e4af272ccee01ff0-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
2:HL[\"/_next/static/css/275ed64cc4367444.css\",\"style\"]
3:HL[\"/_next/static/css/fbc523e328c1847a.css\",\"style\"]
4:HL[\"/_next/static/media/8888a3826f4a3af4-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
5:HL[\"/_next/static/media/b957ea75a84b6ea7-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
6:HL[\"/_next/static/media/eafabf029ad39a43-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
7:HL[\"/_next/static/css/27ebd58d676bcf99.css\",\"style\"]
"])
self.__next_f.push([1, "8:I[26992,[],\"\"]
a:I[14694,[\"1262\",\"static/chunks/9357697e-93ba70c39002d11a.js\",\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"2985\",\"static/chunks/2985-57103bddd6c886e0.js\",\"6511\",\"static/chunks/6511-6c234ea64488b187.js\",\"8171\",\"static/chunks/8171-01f3cd6df1a805de.js\",\"4101\",\"static/chunks/4101-2427b1cefc3249a0.js\",\"4769\",\"static/chunks/4769-e7f68b56862b2f90.js\",\"6795\",\"static/chunks/6795-9f36ded500c756cd.js\",\"9941\",\"static/chunks/app/blog/how-to-improve-LLM-visibility/page-ee51194ed32c2a70.js\"]",\"default\"]
b:I[62834,[\"1262\",\"static/chunks/9357697e-93ba70c39002d11a.js\",\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"2985\",\"static/chunks/2985-57103bddd6c886e0.js\",\"6511\",\"static/chunks/6511-6c234ea64488b187.js\",\"8171\",\"static/chunks/8171-01f3cd6df1a805de.js\",\"4101\",\"static/chunks/4101-2427b1cefc3249a0.js\",\"4769\",\"static/chunks/4769-e7f68b56862b2f90.js\",\"6795\",\"static/chunks/6795-9f36ded500c756cd.js\",\"9941\",\"static/chunks/app/blog/how-to-improve-LLM-visibility/page-ee51194ed32c2a70.js\"]",\"ThemeImage\"]
c:I[73504,[\"1262\",\"static/chunks/9357697e-93ba70c39002d11a.js\",\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"2985\",\"static/chunks/2985-57103bddd6c886e0.js\",\"6511\",\"static/chunks/6511-6c234ea64488b187.js\",\"8171\",\"static/chunks/8171-01f3cd6df1a805de.js\",\"4101\",\"static/chunks/4101-2427b1cefc3249a0.js\",\"4769\",\"static/chunks/4769-e7f68b56862b2f90.js\",\"6795\",\"static/chunks/6795-9f36ded500c756cd.js\",\"9941\",\"static/chunks/app/blog/how-to-improve-LLM-visibility/page-ee51194ed32c2a70.js\"]",\"CtaCard\"]
d:I[9132,[],\"\"]
e:I[86329,[],\"\"]
f:I[15235,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"\"]
11:I[13558,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"UserProvider\"]
12:I[34942,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a912"],"ThemeProvider"]
13:I[3399,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"Toaster\"]
15:I[77284,[\"6470\",\"static/chunks/app/global-error-c2dd10d9ff80c51c.js\"],\"default\"]
10:T7d5,(function (f, b) { if (!b.__SV) { var e, g, i, h; window.mixpanel = b; b._i = []; b.init = function (e, f, c) { function g(a, d) { var b = d.split("."); 2 == b.length && ((a = a[b[0]]), (d = b[1])); a[d] = function () { a.push([d].concat(Array.prototype.slice.call(arguments, 0))); }; } var a = b; "undefined" !== typeof c ? (a = b[c] = []) : (c = "mixpanel"); a.people = a.people || []; a.toString = function (a) { var d = "mixpanel"; "mixpanel" !== c && (d += "." + c); a || (d += " (stub)"); return d; }; a.people.toString = function () { return a.toString(1) + ".people (stub)"; }; i = "disable time_event track track_pageview track_links track_forms track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links 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track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links 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track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_forms track_links track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_links track_forms track_links track_links track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_forms track_links track_links track_forms track_links track_forms track_links track_forms track
```

--------------------------------

### AI Chatbot Content Formatting Recommendations

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

This section outlines best practices for structuring content to be easily understood and processed by AI models, emphasizing clarity, factual accuracy, and proper formatting.

```Markdown
*   Use simple, direct language.
*   Hierarchical headings (H1, H2, H3).
*   Bullet points for lists.
*   Short, factual statements.
```

--------------------------------

### Next.js Routing and Initial Data Loading

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

This snippet outlines the structure for Next.js routing, including build ID, asset prefix, and URL parts. It also defines the initial tree and seed data, which are crucial for server-side rendering and pre-fetching content for a blog post about LLM visibility.

```javascript
self.__next_f.push([1, "0:[\"$\",\"$L8\",null,{\"buildId\":\"qJiqYhEOJaX12CotDjhIM\",\"assetPrefix\":\"\",\"urlParts\":[\"\",\"blog\",\"how-to-improve-LLM-visibility\"],\"initialTree\":[\"\",{\"children\":[\"blog\",{\"children\":[\"how-to-improve-LLM-visibility\",{\"children\":[\"__PAGE__\",{}]}]}]},\"$undefined\",\"$undefined\",true],\"initialSeedData\":[\"\",{\"children\":[\"blog\",{\"children\":[\"how-to-improve-LLM-visibility\",{\"children\":[\"__PAGE__\",{},[[\"$L9\",[\"$\",\"$La\",null,{\"metadata\":{\"title\":\"How to Improve LLM Visibility and Get Paid Users Referred by ChatGPT\",\"description\":\"Learn how to optimize your content for AI platforms and get your product mentioned by ChatGPT, Grok, and other AI chatbots. Discover LLMO strategies to increase brand visibility and drive paid users from AI conversations.\",\"openGraph\":{\"title\":\"How to Improve LLM Visibility and Get Paid Users Referred by ChatGPT\",\"description\":\"Learn how to optimize your content for AI platforms and get your product mentioned by ChatGPT, Grok, and other AI chatbots. Discover LLMO strategies to increase brand visibility and drive paid users from AI conversations.\",\"type\":\"article\",\"url\":\"https://twittershots.com/blog/llmo-vs-seo-let-tweet-screenshot-tool-mentioned-by-ai\",\"images\":[{\"url\":\"/blog/how-to-improve-LLM-visibility-og.png\",\"width\":1200,\"height\":630,\"alt\":\"How to Improve LLM Visibility and Get Paid Users from ChatGPT\"}],\"keywords\":[\"LLM visibility\",\"ChatGPT referrals\",\"AI chatbot optimization\",\"GEO monitoring tool\",\"LLM Optimization\",\"SEO vs GEO\",\"Brand visibility in AI\",\"AI mention tracking\",\"LLM response analysis\",\"GEO generative engine optimization\",\"AI visibility monitoring\",\"Paid users from AI\",\"ChatGPT traffic\",\"AI chatbot citations\"],\"twitter\":{\"card\":\"summary_large_image\",\"site\":\"@twittershots\",\"creator\":\"@0xinhua\",\"title\":\"How to Improve LLM Visibility and Get Paid Users Referred by ChatGPT\",\"description\":\"Learn how to optimize your content for AI platforms and get your product mentioned by ChatGPT, Grok, and other AI chatbots. Discover LLMO strategies to increase brand visibility and drive paid users from AI conversations.\",\"images\":[\"/blog/how-to-improve-LLM-visibility-og.png\"]},\"alternates\":{\"canonical\":\"https://twittershots.com/blog/llmo-vs-seo-let-tweet-screenshot-tool-mentioned-by-ai\"},\"authors\":[{\"name\":\"Kevin Wu\",\"url\":\"https://twitter.com/0xinhua\"}],\"published\":\"Aug 20, 2025\",\"modified\":\"Aug 20, 2025\"}},\"children\":[[\"$\",\"h1\",null,{\"children\":\"How to Improve LLM Visibility and Got Paid user Referred by ChatGPT?\"}],\"\\n\",[\"$\",\"p\",null,{\"children\":\"Hi, it’s Kevin. I’m working hard to build the best Tweet screenshot tool.\"}],\"\\n\",[\"$\",\"p\",null,{\"children\":\"This is a fascinating journey.\"}],\"\\n\",[\"$\",\"p\",null,{\"children\":\"If you want to know how to improve your LLM visibility beyond routine marketing and SEO efforts, all you need is reading this article.\"}],\"\\n\",[\"$\",\"p\",null,{\"children\":\"Let me tell you how a free Twitter-screenshot tool went from zero to getting its first paying customer from ChatGPT— and thanks to ChatGPT.\"}],\"\\n\",[\"$\",\"p\",null,{\"children\":\"When I wake up one day and discover that AI bots are\"}]])])])])
```

--------------------------------

### Google Tag Manager Initialization

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

Initializes Google Tag Manager asynchronously. This script is responsible for loading and managing other tags, including analytics and marketing tags, on the webpage.

```javascript
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
 gtag('js', new Date());
 gtag('config', 'G-XHPJQGMXWF');
```

--------------------------------

### AI Chatbot Content Optimization: Technical Recommendations

Source: https://twittershots.com/blog/how-to-improve-LLM-visibility

This snippet provides technical recommendations for making websites more accessible and favorable to AI bots, including robots.txt configuration and site performance.

```Text
*   Don’t block AI bots in your robots.txt.
*   Ensure fast page loading speeds.
*   Make your site mobile-friendly.
```

--------------------------------

### llms.txt Format Example

Source: https://twittershots.com/blog/llmo-vs-seo-let-tweet-screenshot-tool-mentioned-by-ai

This snippet demonstrates the expected structure and content of an llms.txt file, which serves as a navigation map for AI. It follows Markdown formatting with specific required sections like a project name (H1) and a summary blockquote.

```Markdown
# TwitterShots

> TwitterShots is a tool that allows users to easily create and share screenshots of tweets. It simplifies the process of capturing visual representations of Twitter conversations for sharing on other platforms or for archival purposes.

## Features

*   **Easy Screenshot Capture**: One-click functionality to capture tweet content.
*   **Customization Options**: Ability to adjust the appearance of the screenshot.
*   **Sharing Integration**: Direct sharing options to social media and other platforms.

## Usage

1.  Navigate to a tweet you wish to capture.
2.  Click the "Screenshot" button provided by the TwitterShots browser extension.
3.  Customize the screenshot if needed.
4.  Save or share the generated image.

## File List

*   [llms.txt](https://twittershots.com/llms.txt) : Main LLM information file for TwitterShots.
*   [llms-full.txt](https://twittershots.com/llms-full.txt) : Comprehensive documentation for AI models.
```

--------------------------------

### Website Structure for Google Crawling

Source: https://twittershots.com/blog/twitter-screenshot-generator-SEO-from-zero-to-top-3-Google-rankings-in-2025

Explains the necessity of creating robots.txt and sitemap.xml files to guide Google's crawlers and ensure all pages are discoverable. This is crucial for site indexing and search engine visibility.

```text
Submit your sitemap and create as many related pages as possible

To let Google Search know your site's crawling rules and paths, you need to create a robots.txt and sitemap.xml, and include as many pages as possible. For example, I am adding changelog and blog pages.
```

--------------------------------

### Initialize Next.js App

Source: https://twittershots.com/twitter-video-downloader

This snippet initializes the Next.js application by pushing configuration and routing information to the `__NEXT_F` array. It includes settings for fonts, CSS, and page-specific JavaScript bundles.

```javascript
self.__next_f = self.__next_f || [];
self.__next_f.push([0]);
self.__next_f.push([2, null]);
self.__next_f.push([1, "1:HL[\"/_next/static/media/e4af272ccee01ff0-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
2:HL[\"/_next/static/css/275ed64cc4367444.css\",\"style\"]
3:HL[\"/_next/static/css/fbc523e328c1847a.css\",\"style\"]
4:HL[\"/_next/static/media/8888a3826f4a3af4-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
5:HL[\"/_next/static/media/b957ea75a84b6ea7-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
6:HL[\"/_next/static/media/eafabf029ad39a43-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]
7:HL[\"/_next/static/css/27ebd58d676bcf99.css\",\"style\"]
"])
```

```javascript
self.__next_f.push([1, "8:I[26992,[],\"\"]
a:I[7384,[],\"ClientPageRoot\"]
b:I[47554,[\"1262\",\"static/chunks/9357697e-93ba70c39002d11a.js\",\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"2985\",\"static/chunks/2985-57103bddd6c886e0.js\",\"6511\",\"static/chunks/6511-6c234ea64488b187.js\",\"8171\",\"static/chunks/8171-01f3cd6df1a805de.js\",\"6185\",\"static/chunks/6185-b3d59d4a5fcd5f11.js\",\"4769\",\"static/chunks/4769-e7f68b56862b2f90.js\",\"1419\",\"static/chunks/app/twitter-video-downloader/page-00f93696cb545c25.js\"],\"default\",1]
c:I[9132,[],\"\"]
d:I[86329,[],\"\"]
e:I[15235,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"\"]
10:I[13558,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"UserProvider\"]
11:I[34942,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"ThemeProvider\"]
12:I[3399,[\"4908\",\"static/chunks/4908-da989a47bbcd67a1.js\",\"6835\",\"static/chunks/6835-41953174fdb5db3e.js\",\"3185\",\"static/chunks/app/layout-c8346bdc7e2a9126.js\"],\"Toaster\"]
14:I[77284,[\"6470\",\"static/chunks/app/global-error-c2dd10d9ff80c51c.js\"],\"default\"]
f:T7d5,(function (f, b) { if (!b.__SV) { var e, g, i, h; window.mixpanel = b; b._i = []; b.init = function (e, f, c) { function g(a, d) { var b = d.split(\".\"); 2 == b.length && ((a = a[b[0]]), (d = b[1])); a[d] = function () { a.push([d].concat(Array.prototype.slice.call(arguments, 0))); }; } var a = b; \"undefined\" !== typeof c ? (a = b[c] = []) : (c = \"mixpanel\"); a.people = a.people || []; a.toString = function (a) { var d = \"mixpanel\"; \"mixpanel\" !== c && (d += \".\" + c); a || (d += \" (stub)\"); return d; }; a.people.toString = function () { return a.toString(1) + \".people (stub)\"; }; i = \"disable time_event track track_pageview track_links track_forms track_with_groups add_group set_group remove_group register register_once alias un\"])
```

--------------------------------

### Generate Twitter Screenshot with API

Source: https://twittershots.com/docs/api

This snippet demonstrates how to generate a Twitter screenshot using the API. It includes examples for cURL, JavaScript, Python, and Go, showing how to make a GET request with the required headers and parameters.

```curl
curl --location 'https://api.twittershots.com/api/v1/screenshot/1617979122625712128?format=svg&theme=light' \
--header 'Accept: image/svg+xml,image/png,text/html' \
--header 'X-API-KEY: YOUR_X_API_KEY'
```

```javascript
const myHeaders = new Headers();
myHeaders.append("Accept", "image/svg+xml,image/png,text/html");
myHeaders.append("X-API-KEY", "YOUR_X_API_KEY");

const requestOptions = {
 method: "GET",
 headers: myHeaders,
 redirect: "follow"
};

const resp = await fetch("https://api.twittershots.com/api/v1/screenshot/1944150402758300136?format=svg&theme=light", requestOptions)

```

```python
import requests

url = "https://api.twittershots.com/api/v1/screenshot/1944150402758300136?format=svg&theme=light"

payload = {}
headers = {
 'Accept': 'image/svg+xml,image/png,text/html',
 'X-API-KEY': 'YOUR_X_API_KEY'
}

response = requests.request("GET", url, headers=headers, data=payload)

print(response.text)
```

```go
package main

import (
 "fmt"
 "net/http"
 "io"
)

func main() {

url := "https://api.twittershots.com/api/v1/screenshot/1617979122625712128?format=svg&theme=light"
method := "GET"

client := &http.Client {
}
req, err := http.NewRequest(method, url, nil)

if err != nil {
 fmt.Println(err)
 return
}
req.Header.Add("Accept", "image/svg+xml,image/png,text/html")
req.Header.Add("X-API-KEY", "YOUR_X_API_KEY")

res, err := client.Do(req)
if err != nil {
 fmt.Println(err)
 return
}
defer res.Body.Close()

body, err := io.ReadAll(res.Body)
if err != nil {
 fmt.Println(err)
 return
}
fmt.Println(string(body))
}
```