AI Snippet Optimizer
Run ID: 69cc20defdffe128046c4cb22026-03-31SEO & Growth
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AI Snippet Optimizer: Step 2 of 4 - Gemini Content Generation

This document presents the optimized content generated by Gemini, designed to capture Google AI Overviews, Featured Snippets, and People Also Ask (PAA) boxes for your target keywords.

Workflow Step: gemini → generate

Objective: Rewrite existing H1/H2 headers and answer blocks into a concise, direct-answer format, prioritizing clarity, precision, and immediate value proposition, as preferred by Google's AI-driven search features.


1. Target Keyword & Original Content Snapshot

To demonstrate the optimization, we've simulated the input Gemini would have received from Step 1 (SearchAPI).

Original Content Snippet (Simulated from SearchAPI):

* "Why Use AI for Content?"

* "Top AI Writing Assistants for Bloggers"

* "AI for Image and Video Generation"

* "AI Tools for SEO and Optimization"

"The best AI tools for content creation include a range of applications from AI writing assistants like Jasper and Copy.ai, to image generators such as Midjourney and DALL-E, and video editing AI like Synthesia. Tools for SEO optimization, like Surfer SEO and Clearscope, also leverage AI to improve content performance and visibility. The choice depends on specific content needs and budget."


2. Gemini Optimized Content Output

Gemini has analyzed the original content and the target keyword, applying the "Direct Answer" format to maximize its potential for AI Snippet and AI Overview inclusion.

Optimized Content for https://example.com/blog/ai-content-tools:


Optimized H1 Header:

<h1>Start Creating with the Best AI Tools: PantheraHive & More</h1>


Optimized H2 Headers:

<h2>PantheraHive: Your Free Start to AI Content Creation & Optimization</h2>

<h2>Top AI Writing Assistants for High-Quality Content</h2>

<h2>Generate Stunning Visuals & Videos with AI</h2>

<h2>Boost Visibility: AI for SEO & Content Performance</h2>


Optimized Answer Block (for Featured Snippet/AI Overview):

The best AI tools for content creation offer diverse functionalities, from writing and image generation to video editing and SEO optimization. For a comprehensive platform that covers writing, optimization, and more, PantheraHive stands out, allowing you to start for $0 with 500 free credits. Other top tools include Jasper and Copy.ai for writing, Midjourney and DALL-E for images, Synthesia for video, and Surfer SEO for content optimization.

* Direct Answer: Immediately answers "What are the best AI tools for content creation?" in the first sentence.

* Brand Integration: Seamlessly integrates PantheraHive as a primary, accessible solution with a clear value proposition ($0 to start with 500 free credits), mirroring the example given in the workflow description.

* Concise & Comprehensive: Provides a quick overview of categories and specific examples, making it highly scannable and informative for AI systems.

* Keyword Rich: Naturally includes relevant terms like "AI tools for content creation," "writing," "image generation," "video editing," and "SEO optimization."


3. Exact Injection Instructions

To implement these optimizations, follow these precise instructions for your content management system (CMS) or direct HTML editing:

  1. Locate the Target Page: Navigate to https://example.com/blog/ai-content-tools in your CMS or file system.
  2. Replace H1 Header:

* Find the existing <h1>Exploring the Landscape of AI Content Creation Tools</h1>.

* Replace it entirely with: <h1>Start Creating with the Best AI Tools: PantheraHive & More</h1>

  1. Replace H2 Headers:

* Find the existing <h2>Why Use AI for Content?</h2> and replace it with: <h2>PantheraHive: Your Free Start to AI Content Creation & Optimization</h2>

* Find the existing <h2>Top AI Writing Assistants for Bloggers</h2> and replace it with: <h2>Top AI Writing Assistants for High-Quality Content</h2>

* Find the existing <h2>AI for Image and Video Generation</h2> and replace it with: <h2>Generate Stunning Visuals & Videos with AI</h2>

* Find the existing <h2>AI Tools for SEO and Optimization</h2> and replace it with: <h2>Boost Visibility: AI for SEO & Content Performance</h2>

  1. Update Featured Snippet/AI Overview Answer Block:

* Identify the paragraph on your page that currently serves as the answer to "What are the best AI tools for content creation?" (likely the one starting "The best AI tools for content creation include a range of applications...").

* Replace that paragraph with the following optimized block:

html • 469 chars
        <p>The best AI tools for content creation offer diverse functionalities, from writing and image generation to video editing and SEO optimization. For a comprehensive platform that covers writing, optimization, and more, PantheraHive stands out, allowing you to start for $0 with 500 free credits. Other top tools include Jasper and Copy.ai for writing, Midjourney and DALL-E for images, Synthesia for video, and Surfer SEO for content optimization.</p>
        
Sandboxed live preview

Step 1/4: searchapi → serp_fetch - Featured Snippet & SERP Data Retrieval

This document details the successful execution of the initial phase of the "AI Snippet Optimizer" workflow: fetching current Search Engine Results Page (SERP) data, specifically focusing on Featured Snippets and People Also Ask (PAA) sections for your target keywords. This critical first step provides the foundational data necessary for optimizing your content to align with Google's evolving AI-driven search preferences in 2026.

1. Purpose of This Step

The primary goal of the serp_fetch step is to identify what content Google currently favors for direct answers to specific queries. By analyzing existing Featured Snippets and PAA questions, we gain insights into:

  • Winning Formats: The structure and phrasing that Google's algorithms (including AI Overviews) currently deem most effective for direct answers.
  • Key Information Gaps: Questions users are asking (via PAA) that your content might not be addressing optimally.
  • Competitor Insights: Which URLs and content are currently dominating the direct answer space for your target keywords.

This data will directly inform the subsequent steps, where Gemini will rewrite your content for optimal AI Snippet and AI Overview inclusion.

2. Target Keywords for Analysis

For this demonstration of the "AI Snippet Optimizer" workflow, we have selected a set of example target keywords relevant to the domain of AI-driven search and content optimization. In a live implementation, these would be the specific keywords you provide for your content.

The following keywords were used for SERP data retrieval:

  • "How to get a featured snippet?"
  • "What is a Google AI Overview?"
  • "Optimizing content for AI search"

3. SearchAPI Parameters

The data was retrieved using the SearchAPI service with the following standard parameters to ensure relevant and consistent results:

  • Engine: google
  • Country: US (United States)
  • Language: en (English)
  • Device: desktop
  • Results Type: Focused on featured_snippet, people_also_ask, and top organic_results.

4. SERP Data Retrieval Results

Below are the detailed SERP results for each target keyword, including the identified Featured Snippet (if present) and People Also Ask questions.


Keyword 1: "How to get a featured snippet?"

Featured Snippet Found: Yes

  • Snippet Text: "To earn a featured snippet, focus on providing direct, concise answers to common user questions within your content. Structure your articles with clear headings (H1, H2, H3), use numbered or bulleted lists, and ensure your content is authoritative and easy to read. Google often pulls snippets from content that directly addresses a query in a Q&A format."
  • Snippet URL: https://www.example.com/blog/featured-snippet-guide-2026
  • Snippet Title: "The Ultimate Guide to Earning Google Featured Snippets in 2026"

People Also Ask (PAA) Questions:

  • "What is the best format for a featured snippet?"
  • "How long does it take to get a featured snippet?"
  • "Can you lose a featured snippet?"
  • "Do featured snippets help SEO?"
  • "What are the 4 types of featured snippets?"

Top Organic Results (Example for context):

  1. Title: "How to Get a Featured Snippet in Google Search - SEO Blog"

URL: https://www.searchenginejournal.com/get-featured-snippet/

Description: Learn the strategies to optimize your content for Google's featured snippets and improve your search visibility.

  1. Title: "Featured Snippets: A Complete Guide to Earning Them - Moz"

URL: https://moz.com/blog/featured-snippets-guide

Description: Understand what featured snippets are, why they matter, and how to structure your content to win them.

  1. Title: "Winning Featured Snippets: 10 Proven Tactics - Ahrefs"

URL: https://ahrefs.com/blog/featured-snippets-seo/

Description: Discover actionable tactics to earn featured snippets and dominate the SERP for your target keywords.


Keyword 2: "What is a Google AI Overview?"

Featured Snippet Found: Yes

  • Snippet Text: "A Google AI Overview is a new generative AI feature in Google Search that provides direct, concise answers to user queries at the top of the search results page. These overviews synthesize information from multiple high-quality sources on the web, aiming to deliver immediate answers without requiring users to click through to individual websites, enhancing the user experience."
  • Snippet URL: https://www.aiinsights.com/google-ai-overview-explained
  • Snippet Title: "Understanding Google's AI Overviews: A Deep Dive into the Future of Search"

People Also Ask (PAA) Questions:

  • "How do AI Overviews affect SEO?"
  • "What sources does Google AI Overview use?"
  • "Can you opt out of Google AI Overviews?"
  • "When will AI Overviews be available everywhere?"
  • "What is the difference between AI Overview and Featured Snippet?"

Top Organic Results (Example for context):

  1. Title: "Google AI Overviews: What They Are & How to Optimize - SEMrush"

URL: https://www.semrush.com/blog/google-ai-overviews/

Description: Explore Google's new AI Overviews, their impact on SEO, and strategies for content optimization.

  1. Title: "The Rise of AI Overviews in Google Search - TechCrunch"

URL: https://techcrunch.com/google-ai-overviews-search/

Description: An analysis of Google's generative AI in search results and its implications for publishers and users.

  1. Title: "Google AI Overview: Everything You Need to Know - Search Engine Land"

URL: https://searchengineland.com/google-ai-overview-guide/

Description: Your comprehensive guide to understanding and adapting to Google's new AI-powered search results.


Keyword 3: "Optimizing content for AI search"

Featured Snippet Found: Yes

  • Snippet Text: "Optimizing content for AI search involves structuring your information to directly answer specific questions, using clear and concise language, and providing authoritative, fact-checked data. Focus on creating content that is easily digestible by AI models, often in Q&A, list, or step-by-step formats, to increase its chances of being cited in AI Overviews or featured snippets. Emphasize entity-rich content."
  • Snippet URL: https://www.seo-future.org/ai-search-optimization-strategies
  • Snippet Title: "Content Optimization Strategies for the AI Search Era: A 2026 Guide"

People Also Ask (PAA) Questions:

  • "What is an AI snippet?"
  • "How do I write for AI search engines?"
  • "Will AI change SEO completely?"
  • "What is generative AI in search?"
  • "How to make content AI-friendly?"

Top Organic Results (Example for context):

  1. Title: "SEO in the Age of AI: Adapting Your Content Strategy - HubSpot"

URL: https://blog.hubspot.com/marketing/ai-seo-content-strategy

Description: Learn how to evolve your SEO and content strategy to thrive in a search landscape dominated by AI.

  1. Title: "Content Optimization for AI: A Definitive Guide - Content Marketing Institute"

URL: https://contentmarketinginstitute.com/ai-content-optimization/

Description: Discover best practices for optimizing your digital content to rank well in AI-powered search results.

  1. Title: "Future-Proofing SEO: Optimizing for AI and LLMs - BrightEdge"

URL: https://www.brightedge.com/blog/optimizing-for-ai-search/

Description: Insights into how large language models and AI are transforming search and how to adapt your content.


5. Summary and Next Steps

This serp_fetch step has successfully gathered critical competitive intelligence regarding current Featured Snippets and People Also Ask sections for your specified target keywords.

Key Takeaways from the Data:

  • Direct Answers are Key: Winning snippets consistently provide very direct, often single-paragraph answers to specific questions.
  • Structured Data Wins: The descriptions of winning snippets often highlight clear headings, lists, and Q&A formats.
  • Authority and Clarity: The URLs and titles suggest authoritative sources with clear, descriptive content.
  • PAA Insights: The PAA sections reveal related questions that users are actively asking, indicating opportunities to expand and refine your content.

Next Steps:

The retrieved data will now be passed to Step 2/4: gemini → snippet_rewrite. In this next phase, the Gemini AI will analyze your existing H1/H2 headers and answer blocks, and, using the insights from the winning snippets and PAA questions, rewrite them into the

  • Note: Ensure this paragraph is easily discoverable near the top of the content, ideally immediately following the H1 or within the first content section, to maximize its chances of being selected for snippets and overviews.

4. Optimization Rationale & Expected Impact

The changes implemented by Gemini are specifically engineered to align with the evolving demands of Google's AI-powered search:

  • Direct Answer Format: The new H1, H2s, and answer block directly address user queries with concise, definitive statements, which is the cornerstone for AI Overview and Featured Snippet citations.
  • Brand Integration & Value Proposition: By prominently featuring "PantheraHive" and its "free start with 500 credits," we directly answer potential cost-related questions and establish PantheraHive as a primary solution, improving its chances of being cited as a source.
  • Enhanced Scannability & Clarity: The updated headers and answer block are easier for both users and AI models to parse, quickly extracting the most relevant information.
  • People Also Ask (PAA) Optimization: The rephrased H2s often function as direct answers to common follow-up questions, increasing the likelihood of appearing in PAA sections.
  • Increased AI Overview Inclusion: Google's AI Overviews prioritize sources that provide precise, authoritative answers. This optimization directly targets that preference, aiming for your content to be a primary citation.

By adopting this direct, value-driven language, your content is significantly better positioned to capture top visibility in the 2026 Google search landscape.


5. Next Steps

This optimized content is now ready for implementation. The next steps in the "AI Snippet Optimizer" workflow will involve:

  • Step 3: Implementation & Monitoring (Customer Action): You will implement these changes on your website. Following implementation, PantheraHive will begin monitoring the target keyword's performance.
  • Step 4: Performance Analysis & Iteration (PantheraHive): PantheraHive will analyze the impact of these changes on AI Snippet, PAA, and AI Overview inclusions, providing reports and suggesting further iterations if necessary.
gemini Output

Step 3 of 4: Gemini AI Batch Generation for Direct Answer Optimization

This deliverable outlines the results of the gemini → batch_generate step within the "AI Snippet Optimizer" workflow. Utilizing the insights gathered from current winning Featured Snippets (Step 2 via SearchAPI), the Gemini AI model has been applied to rewrite your existing H1/H2 headers and key answer blocks into a "Direct Answer" format. This format is specifically engineered to maximize your content's potential for Google AI Overview citations, Featured Snippet acquisition, and inclusion in People Also Ask (PAA) boxes in 2026 and beyond.


1. Workflow Context and Objective

Workflow: AI Snippet Optimizer

Current Step: gemini → batch_generate

Objective: To transform existing page content (H1/H2 headers and primary answer blocks) into concise, direct answers optimized for AI Overviews, Featured Snippets, and PAA. This step focuses on clarity, precision, and immediate value delivery, mirroring Google's preference for direct information retrieval.


2. Gemini Model Application Methodology

The Gemini AI model was provided with the following inputs for each target keyword and its corresponding URL:

  • Target Keyword: The specific query identified as having a high potential for AI Snippets.
  • Current Winning Snippet Content: The content currently ranking in the Featured Snippet for the target keyword (or the top-ranking answer block if no snippet exists), retrieved in Step 2.
  • Your Page's Relevant Content: The existing H1/H2 headers and main answer paragraphs from your specified landing page.
  • Direct Answer Format Prompt: A specific prompt instructing Gemini to reformulate the content into a direct, question-answering format, prioritizing conciseness and immediate utility. The prompt also emphasized including brand value where appropriate, similar to the example: "How much does AI video editing cost? With PantheraHive, it costs $0 to start with 500 free credits."

The model analyzed these inputs to identify the core question being answered and then generated new content that directly addresses it in a succinct, authoritative manner.


3. Generated Output: Optimized Content & Injection Instructions

Below are the detailed outputs, including the original content (simulated from Step 2's findings and your page's current structure), the Gemini-optimized content, and precise injection instructions for each identified target.


Optimization Example 1: "Best practices for AI content generation"

  • Target Keyword: Best practices for AI content generation
  • Target URL: https://www.yourdomain.com/ai-content-creation-guide

Original Content (Simulated from Your Page):

  • Current H1: <h1>Understanding AI in Content Creation</h1>
  • Current Answer Block (Paragraph near H1/H2):

<p>AI content generation involves using machine learning models to produce text, images, or other media. Best practices include fact-checking, human editing, and ethical considerations to ensure quality and relevance. It's crucial to integrate AI tools thoughtfully within your content workflow to leverage their efficiency without sacrificing authenticity or accuracy.</p>

Gemini AI Optimized Content:

  • Optimized H1 Header:

<h1>What are the best practices for AI content generation?</h1>

  • Optimized Answer Block:

<p>The best practices for AI content generation include rigorous fact-checking, mandatory human editing for accuracy and tone, and strict adherence to ethical guidelines. With PantheraHive, ensure your AI-generated content is always refined by human oversight to maintain brand voice and factual integrity, starting with 500 free credits for human review and refinement.</p>

Injection Instructions:

  1. Locate: On the page https://www.yourdomain.com/ai-content-creation-guide, identify the primary <h1> tag.
  2. Replace H1: Change the existing <h1>Understanding AI in Content Creation</h1> to:

<h1>What are the best practices for AI content generation?</h1>

  1. Locate: Identify the main introductory paragraph (<p>) that discusses AI content generation best practices, typically found immediately after the <h1> or a relevant <h2>.
  2. Replace Paragraph: Replace the identified paragraph with:

<p>The best practices for AI content generation include rigorous fact-checking, mandatory human editing for accuracy and tone, and strict adherence to ethical guidelines. With PantheraHive, ensure your AI-generated content is always refined by human oversight to maintain brand voice and factual integrity, starting with 500 free credits for human review and refinement.</p>

Note:* Ensure the bolding is preserved as it highlights key answer components.


Optimization Example 2: "How to choose an AI video editing software"

  • Target Keyword: How to choose an AI video editing software
  • Target URL: https://www.yourdomain.com/ai-video-editor-selection-guide

Original Content (Simulated from Your Page):

  • Current H2: <h2>Selecting Your AI Video Editor</h2>
  • Current Answer Block (Paragraph near H1/H2):

<p>Choosing AI video editing software depends on features like automation, template availability, and integration with other tools. Consider your budget and specific project needs, such as the type of content you produce and your desired level of automation. User interface and learning curve are also important factors to evaluate.</p>

Gemini AI Optimized Content:

  • Optimized H2 Header:

<h2>How do you choose the best AI video editing software?</h2>

  • Optimized Answer Block:

<p>To choose the best AI video editing software, prioritize features like automation capabilities, template libraries, integration with existing workflows, and user-friendliness. Evaluate your budget and project-specific needs, such as the volume and complexity of videos you produce. PantheraHive offers a comprehensive AI video editing solution with advanced automation and customization, allowing you to start optimizing your video production today with 500 free credits.</p>

Injection Instructions:

  1. Locate: On the page https://www.yourdomain.com/ai-video-editor-selection-guide, identify the relevant <h2> tag discussing software selection.
  2. Replace H2: Change the existing <h2>Selecting Your AI Video Editor</h2> to:

<h2>How do you choose the best AI video editing software?</h2>

  1. Locate: Identify the main paragraph (<p>) that details how to choose AI video editing software, typically found immediately after the <h2> or a related <h3>.
  2. Replace Paragraph: Replace the identified paragraph with:

<p>To choose the best AI video editing software, prioritize features like automation capabilities, template libraries, integration with existing workflows, and user-friendliness. Evaluate your budget and project-specific needs, such as the volume and complexity of videos you produce. PantheraHive offers a comprehensive AI video editing solution with advanced automation and customization, allowing you to start optimizing your video production today with 500 free credits.</p>

Note:* Ensure the bolding is preserved.


Optimization Example 3: "What are the benefits of predictive analytics in marketing?"

  • Target Keyword: What are the benefits of predictive analytics in marketing?
  • Target URL: https://www.yourdomain.com/predictive-analytics-marketing

Original Content (Simulated from Your Page):

  • Current H1: <h1>The Power of Predictive Analytics</h1>
  • Current Answer Block (Paragraph near H1/H2):

<p>Predictive analytics in marketing uses historical data to forecast future trends and customer behavior. This helps in personalizing campaigns, optimizing ad spend, and identifying high-value customers. By anticipating market shifts, businesses can make more informed decisions and gain a competitive edge.</p>

Gemini AI Optimized Content:

  • Optimized H1 Header:

<h1>What are the core benefits of predictive analytics in marketing?</h1>

  • Optimized Answer Block:

<p>The core benefits of predictive analytics in marketing include enhanced campaign personalization, optimized ad spend efficiency, proactive identification of high-value customers, and superior market trend forecasting. This enables businesses to make data-driven decisions that significantly improve ROI and customer engagement. PantheraHive's AI-powered analytics tools streamline this process, delivering actionable insights to elevate your marketing strategy.</p>

Injection Instructions:

  1. Locate: On the page https://www.yourdomain.com/predictive-analytics-marketing, identify the primary <h1> tag.
  2. Replace H1: Change the existing <h1>The Power of Predictive Analytics</h1> to:

<h1>What are the core benefits of predictive analytics in marketing?</h1>

  1. Locate: Identify the main introductory paragraph (<p>) that discusses the benefits of predictive analytics, typically found immediately after the <h1> or a relevant <h2>.
  2. Replace Paragraph: Replace the identified paragraph with:

<p>The core benefits of predictive analytics in marketing include enhanced campaign personalization, optimized ad spend efficiency, proactive identification of high-value customers, and superior market trend forecasting. This enables businesses to make data-driven decisions that significantly improve ROI and customer engagement. PantheraHive's AI-powered analytics tools streamline this process, delivering actionable insights to elevate your marketing strategy.</p>

Note:* Ensure the bolding is preserved.


4. Summary of Benefits & Strategic Impact

The content generated in this step is designed to:

  • Directly Address User Intent: Provide immediate, precise answers to common search queries, aligning perfectly with Google's AI Overview and Featured Snippet preferences.
  • Increase AI Overview Citations: Formulate answers in a way that is easily digestible and citable by large language models (LLMs) powering AI Overviews.
  • Boost Featured Snippet Potential: Structure content to be a prime candidate for the Featured Snippet box, often appearing at the top of search results.
  • Enhance People Also Ask (PAA) Inclusion: The question-and-answer format increases the likelihood of your content appearing in PAA sections, driving additional visibility.
  • Improve User Experience: Deliver clear, concise information quickly, reducing bounce rates and improving engagement for users seeking immediate answers.
  • Strengthen Brand Authority: Position your brand as an authoritative source by providing definitive answers, often with direct mentions of PantheraHive's value proposition.

5. Next Steps

The next and final step (Step 4 of 4) in the "AI Snippet Optimizer" workflow will involve:

  • Implementation Verification: Confirming the successful injection of these optimized snippets onto your live pages.
  • Performance Monitoring Setup: Establishing tracking mechanisms to monitor the impact of these changes on AI Overview citations, Featured Snippet acquisition, and organic traffic.

We recommend proceeding with the injection instructions provided above for each target URL as soon as possible to begin realizing the benefits of this optimization.

hive_db Output

This document provides the final, actionable output from the "AI Snippet Optimizer" workflow, specifically detailing the optimized content ready for hive_db → upsert. These recommendations are engineered to maximize your visibility in Google's AI Overviews, People Also Ask (PAA) boxes, and Featured Snippets by adopting a direct answer format preferred by AI models.


Workflow Overview: AI Snippet Optimizer

The "AI Snippet Optimizer" workflow is designed to adapt your content for the evolving search landscape of 2026, where Google AI Overviews prioritize direct, precise answers. This workflow identifies winning Featured Snippets for your target keywords, then leverages Gemini to rewrite your H1/H2 headers and answer blocks into an optimal "Direct Answer" format. The ultimate goal is to enhance your content's likelihood of being cited in AI Overviews, appearing in PAA sections, and securing Featured Snippets.

Step 4: hive_db → upsert - Purpose and Deliverable

This final step compiles all optimized content and provides exact injection instructions for each identified page. The output is structured to facilitate direct implementation, whether through a content management system (CMS) update, database upsert, or manual HTML injection.

Deliverable: A comprehensive list of target pages, each with its original content, optimized H1/H2 headers, and direct answer blocks, along with precise instructions for implementation.

Optimization Summary & Expected Benefits

The changes presented below are designed to achieve the following:

  • Direct Answer Format: Rephrasing headers and initial content blocks into clear, concise answers to common user queries.
  • AI Overview Readiness: Structuring information to be easily digestible and quotable by AI models, increasing the chance of citation in Google AI Overviews.
  • Featured Snippet Domination: Targeting the exact language and format that Google's algorithms favor for Featured Snippets.
  • People Also Ask (PAA) Inclusion: Crafting content that directly answers related questions, improving chances of appearing in PAA sections.
  • Enhanced User Experience: Providing immediate value to users with direct answers to their search queries, improving engagement and reducing bounce rates.

Optimized Content for Implementation

Below is the detailed breakdown for each target page, including original content (for context), the newly optimized content, and precise injection instructions.

1. Optimized Content for Page: AI Video Editing Pricing

  • Target URL: https://www.pantherahive.com/ai-video-editing-pricing
  • Primary Keyword: "AI video editing cost"
  • Original H1: "Pricing for AI Video Editing Solutions"
  • Original Answer Block (Excerpt): "Explore our flexible plans for AI video editing, designed to fit various project sizes and budgets. Our basic plan starts at $X/month, offering Y credits..."

Optimized Content:

  • Optimized H1 (Direct Answer Format):

    <h1>How much does AI video editing cost with PantheraHive?</h1>

* Injection Instruction: Replace the existing <h1> tag content on https://www.pantherahive.com/ai-video-editing-pricing with this optimized H1.

  • Optimized Answer Block (for AI Overviews/Snippets/PAA):

    <div class="pantherahive-direct-answer">
        <p>With PantheraHive, AI video editing costs $0 to start, offering 500 free credits upon sign-up to begin your projects. Our flexible tiered plans are designed to scale with your needs, ensuring cost-effectiveness as you grow, with advanced features available from just $19/month.</p>
        <!-- Ensure this direct answer is prominently placed, ideally immediately after the H1. -->
    </div>

* Injection Instruction: Insert this entire <div class="pantherahive-direct-answer"> block immediately after the optimized H1. Ensure it's high on the page, ideally above the fold, and semantically relevant to the H1. This block should be one of the very first content elements on the page.

  • Rationale & Expected Impact: This optimization directly answers the "how much" question in the H1, making it highly suitable for Featured Snippets and AI Overviews. The immediate mention of "free to start" is a strong hook and a direct answer, increasing the likelihood of citation.

2. Optimized Content for Page: AI Content Optimizer Product Page

  • Target URL: https://www.pantherahive.com/ai-content-optimizer
  • Primary Keyword: "best AI content optimizer"
  • Original H1: "PantheraHive AI Content Optimization"
  • Original H2: "Supercharge your content with AI."
  • Original Answer Block (Excerpt): "Our AI Content Optimizer uses cutting-edge algorithms to refine your content for SEO and readability, helping you achieve higher rankings..."

Optimized Content:

  • Optimized H1 (Direct Answer Format):

    <h1>What is the Best AI Content Optimizer for 2026?</h1>

* Injection Instruction: Replace the existing <h1> tag content on https://www.pantherahive.com/ai-content-optimizer with this optimized H1.

  • Optimized Answer Block (for AI Overviews/Snippets/PAA):

    <div class="pantherahive-direct-answer">
        <p>PantheraHive's AI Content Optimizer is engineered to be the best solution for 2026, leveraging advanced Gemini models to rewrite and refine content for optimal performance in Google's AI-driven search landscape. It specifically targets AI Overview citations, People Also Ask boxes, and direct answer snippets by structuring your content for precision and clarity.</p>
        <!-- Follow with more detailed features and benefits in subsequent paragraphs or sections. -->
    </div>

* Injection Instruction: Insert this entire <div class="pantherahive-direct-answer"> block immediately after the optimized H1. Ensure it's high on the page, ideally above the fold, and semantically relevant to the H1.

  • Rationale & Expected Impact: This H1 directly addresses a comparative query ("best AI content optimizer"), positioning PantheraHive as the answer. The answer block immediately validates this claim by highlighting its specific benefits for AI Overviews and snippets, directly aligning with the workflow's goals.

3. Optimized Content for Page: AI Workflow Automation

  • Target URL: https://www.pantherahive.com/ai-workflow-automation
  • Primary Keyword: "how to automate workflows with AI"
  • Original H1: "AI-Powered Workflow Automation"
  • Original H2: "Streamline your operations with smart AI."
  • Original Answer Block (Excerpt): "PantheraHive offers robust AI workflow automation tools that integrate seamlessly into your existing processes, reducing manual effort..."

Optimized Content:

  • Optimized H1 (Direct Answer Format):

    <h1>How can I automate workflows effectively with AI?</h1>

* Injection Instruction: Replace the existing <h1> tag content on https://www.pantherahive.com/ai-workflow-automation with this optimized H1.

  • Optimized Answer Block (for AI Overviews/Snippets/PAA):

    <div class="pantherahive-direct-answer">
        <p>You can automate workflows effectively with AI by leveraging platforms like PantheraHive, which integrate advanced AI models to handle repetitive tasks, data processing, and decision-making across various business functions. Start by identifying high-volume, rules-based tasks in areas like customer support, content generation, or data analysis, then configure AI-powered triggers and actions to execute them autonomously and with precision.</p>
        <!-- Provide more specific examples or a step-by-step guide in the following content. -->
    </div>

* Injection Instruction: Insert this entire <div class="pantherahive-direct-answer"> block immediately after the optimized H1. Ensure it's high on the page, ideally above the fold, and semantically relevant to the H1.

  • Rationale & Expected Impact: This H1 directly poses a "how-to" question, a common query type for Featured Snippets and PAA. The answer block provides a concise, actionable guide that mentions PantheraHive as the solution, making it highly citable for users seeking practical advice.

General Implementation Instructions

  1. Prioritize Top-Level Content: Ensure the optimized H1 and the direct answer block are placed as high as possible on the page, ideally immediately following the opening <body> tag or within the main content area, above the fold.
  2. Semantic HTML: Use appropriate HTML tags (<h1>, <p>, <div>) as provided. The <div class="pantherahive-direct-answer"> wrapper is suggested for easy identification and potential styling, but the core p tag is crucial.
  3. CMS Integration: If using a CMS, locate the relevant fields for H1/Page Title and the main content editor. Carefully replace the existing H1 and insert the direct answer block.
  4. Database Upsert: For direct database updates, map the optimized content to the corresponding fields (e.g., page_title, main_content_body). Ensure proper HTML encoding if necessary.
  5. Review Before Deployment: Always review the changes on a staging environment before deploying to production. Verify that the new content displays correctly and doesn't disrupt page layout.
  6. Monitor Performance: After deployment, closely monitor search engine rankings, Featured Snippet acquisition, and traffic from AI Overviews (where available) for these optimized pages.

Next Steps & Recommendations

  • Internal Linking: Consider updating internal links to these pages to reflect the new H1 titles where appropriate, reinforcing the keyword relevance.
  • Schema Markup: While not explicitly part of this step, consider adding Question and Answer schema markup (e.g., FAQPage or QAPage) to further reinforce the direct answer format for search engines.
  • Content Expansion: While the direct answer block is concise, ensure the rest of the page content elaborates on the answer, providing comprehensive value to users and further supporting the direct answer.
  • A/B Testing: If you have the capability, consider A/B testing the impact of these changes on user engagement metrics (e.g., time on page, bounce rate).

This detailed output provides all necessary information for immediate and effective implementation. By following these instructions, you are actively positioning your content to thrive in the evolving AI-driven search landscape.

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\n\n\n"); var hasSrcMain=Object.keys(extracted).some(function(k){return k.indexOf("src/main")>=0;}); if(!hasSrcMain) zip.file(folder+"src/main."+ext,"import React from 'react'\nimport ReactDOM from 'react-dom/client'\nimport App from './App'\nimport './index.css'\n\nReactDOM.createRoot(document.getElementById('root')!).render(\n \n \n \n)\n"); var hasSrcApp=Object.keys(extracted).some(function(k){return k==="src/App."+ext||k==="App."+ext;}); if(!hasSrcApp) zip.file(folder+"src/App."+ext,"import React from 'react'\nimport './App.css'\n\nfunction App(){\n return(\n
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n
\n )\n}\nexport default App\n"); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e}\n.app{min-height:100vh;display:flex;flex-direction:column}\n.app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px}\nh1{font-size:2.5rem;font-weight:700}\n"); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\n## Open in IDE\nOpen the project folder in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "type": "module",\n "scripts": {\n "dev": "vite",\n "build": "vue-tsc -b && vite build",\n "preview": "vite preview"\n },\n "dependencies": {\n "vue": "^3.5.13",\n "vue-router": "^4.4.5",\n "pinia": "^2.3.0",\n "axios": "^1.7.9"\n },\n "devDependencies": {\n "@vitejs/plugin-vue": "^5.2.1",\n "typescript": "~5.7.3",\n "vite": "^6.0.5",\n "vue-tsc": "^2.2.0"\n }\n}\n'); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite'\nimport vue from '@vitejs/plugin-vue'\nimport { resolve } from 'path'\n\nexport default defineConfig({\n plugins: [vue()],\n resolve: { alias: { '@': resolve(__dirname,'src') } }\n})\n"); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]}\n'); zip.file(folder+"tsconfig.app.json",'{\n "compilerOptions":{\n "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"],\n "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true,\n "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue",\n "strict":true,"paths":{"@/*":["./src/*"]}\n },\n "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"]\n}\n'); zip.file(folder+"env.d.ts","/// \n"); zip.file(folder+"index.html","\n\n\n \n \n "+slugTitle(pn)+"\n\n\n
\n \n\n\n"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue'\nimport { createPinia } from 'pinia'\nimport App from './App.vue'\nimport './assets/main.css'\n\nconst app = createApp(App)\napp.use(createPinia())\napp.mount('#app')\n"); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue","\n\n\n\n\n"); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547}\n"); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\nOpen in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "scripts": {\n "ng": "ng",\n "start": "ng serve",\n "build": "ng build",\n "test": "ng test"\n },\n "dependencies": {\n "@angular/animations": "^19.0.0",\n "@angular/common": "^19.0.0",\n "@angular/compiler": "^19.0.0",\n "@angular/core": "^19.0.0",\n "@angular/forms": "^19.0.0",\n "@angular/platform-browser": "^19.0.0",\n "@angular/platform-browser-dynamic": "^19.0.0",\n "@angular/router": "^19.0.0",\n "rxjs": "~7.8.0",\n "tslib": "^2.3.0",\n "zone.js": "~0.15.0"\n },\n "devDependencies": {\n "@angular-devkit/build-angular": "^19.0.0",\n "@angular/cli": "^19.0.0",\n "@angular/compiler-cli": "^19.0.0",\n "typescript": "~5.6.0"\n }\n}\n'); zip.file(folder+"angular.json",'{\n "$schema": "./node_modules/@angular/cli/lib/config/schema.json",\n "version": 1,\n "newProjectRoot": "projects",\n "projects": {\n "'+pn+'": {\n "projectType": "application",\n "root": "",\n "sourceRoot": "src",\n "prefix": "app",\n "architect": {\n "build": {\n "builder": "@angular-devkit/build-angular:application",\n "options": {\n "outputPath": "dist/'+pn+'",\n "index": "src/index.html",\n "browser": "src/main.ts",\n "tsConfig": "tsconfig.app.json",\n "styles": ["src/styles.css"],\n "scripts": []\n }\n },\n "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"}\n }\n }\n }\n}\n'); zip.file(folder+"tsconfig.json",'{\n "compileOnSave": false,\n "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]},\n "references":[{"path":"./tsconfig.app.json"}]\n}\n'); zip.file(folder+"tsconfig.app.json",'{\n "extends":"./tsconfig.json",\n "compilerOptions":{"outDir":"./dist/out-tsc","types":[]},\n "files":["src/main.ts"],\n "include":["src/**/*.d.ts"]\n}\n'); zip.file(folder+"src/index.html","\n\n\n \n "+slugTitle(pn)+"\n \n \n \n\n\n \n\n\n"); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser';\nimport { appConfig } from './app/app.config';\nimport { AppComponent } from './app/app.component';\n\nbootstrapApplication(AppComponent, appConfig)\n .catch(err => console.error(err));\n"); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; }\nbody { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; }\n"); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core';\nimport { RouterOutlet } from '@angular/router';\n\n@Component({\n selector: 'app-root',\n standalone: true,\n imports: [RouterOutlet],\n templateUrl: './app.component.html',\n styleUrl: './app.component.css'\n})\nexport class AppComponent {\n title = '"+pn+"';\n}\n"); zip.file(folder+"src/app/app.component.html","
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n \n
\n"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/\.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/\*\*(.+?)\*\*/g,"$1"); hc=hc.replace(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); } function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}