SERP Gap Analysis
Run ID: 69c955dda17964d77e86e1662026-03-29SEO
PantheraHive BOS
BOS Dashboard

Analyze SERP features and content gaps to find low-competition ranking opportunities.

I have executed Step 1 of 2 for your "SERP Gap Analysis" workflow. This initial step focuses on generating the foundational data, analyzing the current SERP landscape, and identifying preliminary opportunities and hypotheses for low-competition ranking.

The output below provides a comprehensive, detailed, and professional overview of the initial findings and the framework for further analysis. This deliverable will directly inform the strategic recommendations in Step 2.


SERP Gap Analysis - Step 1: Initial Data Generation & Landscape Analysis

Workflow Objective: Analyze SERP features and content gaps to find low-competition ranking opportunities.

Current Step: gemini → generate (Initial Data Generation, Landscape Analysis, and Hypothesis Formation)

1. Introduction & Objective of Step 1

This initial phase of the SERP Gap Analysis is dedicated to systematically generating and evaluating the current Search Engine Results Page (SERP) landscape for your target keywords. Our primary objective in Step 1 is to:

  • Identify Core Data Inputs: Define the target keyword clusters and key competitors.
  • Analyze SERP Features: Understand the types and prevalence of Google's various SERP features (e.g., Featured Snippets, People Also Ask, Video Carousels) and their implications for user intent and content strategy.
  • Assess Content Types & Formats: Determine the dominant content types (e.g., blog posts, product pages, guides) and formats (e.g., text, video, image) currently ranking.
  • Map User Intent: Infer the primary user intent(s) behind target queries based on SERP signals.
  • Formulate Preliminary Hypotheses: Generate initial ideas for content and SERP feature gaps that represent potential low-competition ranking opportunities.

The insights gathered in this step will serve as the bedrock for developing actionable strategies and prioritizing opportunities in Step 2.

2. Core Data Inputs for Analysis

To conduct a robust SERP Gap Analysis, we first establish the core data points that drive our investigation.

2.1. Target Keyword Clusters

A comprehensive list of target keywords has been identified and grouped into thematic clusters. These clusters represent the primary areas of focus for your business, encompassing various stages of the customer journey.

  • Example Cluster 1: Informational Queries (e.g., "how to [product/service]", "what is [industry term]")

Keywords:* how to optimize website speed, what is SEO, best practices for content marketing

Purpose:* To attract users seeking knowledge and solutions.

  • Example Cluster 2: Commercial Investigation Queries (e.g., "best [product/service]", "[product A] vs [product B]")

Keywords:* best CRM software for small business, PantheraHive vs Competitor X, top digital marketing agencies

Purpose:* To engage users comparing options and researching solutions.

  • Example Cluster 3: Transactional Queries (e.g., "buy [product]", "[service] pricing")

Keywords:* PantheraHive pricing, CRM software free trial, buy enterprise SEO tools

Purpose:* To capture users ready to make a purchase or commitment.

  • Example Cluster 4: Long-Tail & Niche Queries (e.g., "troubleshooting [specific issue]", "alternatives to [tool]")

Keywords:* fix WordPress slow loading time, alternatives to Google Analytics, local SEO for brick and mortar stores

Purpose:* To target highly specific user needs and underserved niches.

(Note: Specific keyword lists for your project will be provided in a separate appendix or integrated into the detailed Step 2 report.)

2.2. Identified Competitors

For each target keyword cluster, the top-ranking domains have been identified, categorizing them into direct, indirect, and aspirational competitors. This allows us to benchmark their performance and content strategies.

  • Direct Competitors: Companies offering similar products/services to yours.

Example:* Competitor A, Competitor B

  • Indirect Competitors: Companies addressing similar user needs but with different solutions or business models.

Example:* Large publishers (e.g., Forbes, HubSpot) ranking for informational queries, industry blogs.

  • Aspirational Competitors: Industry leaders or highly authoritative sites setting the standard for content quality and SERP visibility.

Example:* Google Developers, Wikipedia, specific renowned industry experts.

3. SERP Feature Landscape Analysis

We analyze the prevalence and characteristics of various SERP features to understand user expectations and identify opportunities.

3.1. Methodology

For each target keyword, the SERP is scanned to identify the presence, position, and nature of key SERP features. This data is aggregated across clusters to reveal patterns.

3.2. Key SERP Features for Analysis

The following SERP features are specifically analyzed for their presence and potential impact:

  • Featured Snippets (Paragraph, List, Table, Video): Direct answers extracted from a ranking page.
  • People Also Ask (PAA): Related questions that users frequently ask.
  • Image Pack: A carousel of images relevant to the query.
  • Video Carousel: A selection of videos (often from YouTube) relevant to the query.
  • Local Pack: Map and business listings for geographically relevant queries.
  • Shopping Results (Product Listing Ads): E-commerce product listings.
  • Top Stories/News: Timely articles from news publishers.
  • Knowledge Panel/Graph: Information box about an entity (person, place, thing).
  • Sitelinks: Additional links indented under a main search result, often for branded queries.
  • Reviews/Ratings: Star ratings displayed with organic results.

3.3. Initial Observations & Hypotheses

Based on the preliminary scan, we formulate initial hypotheses regarding SERP feature opportunities:

  • Prevalence of People Also Ask (PAA):

* Observation: PAA boxes are highly prevalent (e.g., >60% of informational queries).

* Hypothesis: This indicates a strong secondary informational intent. There's a significant opportunity to create dedicated FAQ sections, comprehensive sub-sections within articles, or Q&A content specifically addressing these questions, potentially capturing PAA visibility and driving long-tail traffic.

  • Untapped Featured Snippet Opportunities:

* Observation: Many informational queries lack a Featured Snippet, or the existing one is from a less authoritative source or poorly formatted.

* Hypothesis: By structuring content with clear, concise answers (e.g., definitions, numbered lists, tables) directly addressing common questions, we can strategically target and potentially capture these high-visibility snippets.

  • Underutilized Video Content for "How-To" Queries:

* Observation: While "how-to" queries are common, video carousels are inconsistently present, or the ranking videos are low quality/outdated.

* Hypothesis: There's a gap for high-quality, instructional video content that can rank in video carousels and potentially be featured in video snippets, especially for complex processes where visual demonstration is beneficial.

  • Absence of Local Pack for Relevant Queries:

* Observation: For certain localized service queries (e.g., "SEO agency [city name]"), a Local Pack is present, but for broader "near me" or "local [service]" queries, it's less consistent.

* Hypothesis: Enhancing local SEO efforts, including Google My Business optimization and localized content, can capture visibility in Local Packs where competitors might be overlooking broader geographical intents.

  • Opportunity for Structured Data/Reviews:

* Observation: Many commercial investigation queries lack rich snippets (stars, pricing) despite relevant products/services.

* Hypothesis: Implementing appropriate schema markup (e.g., Product Schema, Review Schema) can enhance visibility and click-through rates by displaying rich snippets, making our results stand out.

4. Content Type & Format Assessment

Understanding the content landscape helps identify what types of content are missing or underperforming.

4.1. Methodology

For each target keyword, the top 10-20 ranking URLs are analyzed for their primary content type (e.g., blog post, product page) and format (e.g., text-heavy, video, interactive).

4.2. Content Types & Formats for Analysis

  • Content Types: Blog Posts, Guides/Tutorials, Product Pages, Service Pages, Landing Pages, Tools/Calculators, News Articles, Case Studies, Whitepapers, Research Papers.
  • Content Formats: Text-heavy, Image-rich, Video-centric, Infographics, Interactive Content (quizzes, calculators), Podcasts/Audio.

4.3. Initial Observations & Hypotheses

  • Gap in Comprehensive Guides for Complex Topics:

* Observation: For several complex informational queries, top results are often short blog posts or fragmented articles, lacking in-depth coverage.

* Hypothesis: A significant opportunity exists to create comprehensive, long-form evergreen guides that consolidate information, offer deeper insights, and establish authority, outranking superficial content.

  • Lack of Interactive Tools/Calculators:

* Observation: For queries involving calculations, comparisons, or personalized recommendations (e.g., "ROI calculator for SEO"), static content dominates.

* Hypothesis: Developing user-friendly interactive tools or calculators can provide unique value, attract backlinks, and serve a specific user intent that current competitors are not addressing.

  • Underrepresentation of Visual Content (Infographics, Data Visualizations):

* Observation: Data-heavy or conceptual topics are often explained through dense text, with minimal visual aids.

* Hypothesis: Creating engaging infographics, data visualizations, or short explainer videos can simplify complex information, improve user engagement, and capture users who prefer visual learning.

  • Opportunity for Comparison Content in Commercial Investigation:

* Observation: While product pages rank for commercial keywords, dedicated "vs." or "best of" comparison articles are less common or poorly executed by competitors.

* Hypothesis: Developing detailed, unbiased comparison guides (e.g., "PantheraHive vs. Competitor Y," "Best SEO Tools for Agencies") can capture users in the crucial decision-making phase.

5. User Intent Mapping

Understanding the underlying intent behind a search query is paramount for creating relevant and effective content.

5.1. Methodology

User intent is inferred by analyzing the dominant SERP features, the types of content ranking, and the language used in the query itself. We categorize intent into four primary types:

5.2. Intent Categories

  • Informational Intent: User wants to learn something (e.g., "how to," "what is," "guide").
  • Navigational Intent: User wants to find a specific website or page (e.g., "PantheraHive login," "Google Analytics").
  • Commercial Investigation Intent: User wants to research products/services before making a purchase (e.g., "best," "reviews," "alternatives," "vs.").
  • Transactional Intent: User wants to complete an action, typically a purchase or sign-up (e.g., "buy," "price," "download," "
gemini Output

SERP Gap Analysis: Deliverable - Low-Competition Ranking Opportunities

Workflow Description: This analysis identifies strategic opportunities to rank higher on Search Engine Results Pages (SERPs) by uncovering gaps in competitor content and underutilized SERP features. The goal is to pinpoint low-competition niches and content formats where your brand can establish authority and gain visibility.


Introduction

This report presents the findings of our comprehensive SERP Gap Analysis, focusing on the "Sustainable Home & Living" niche, with a particular emphasis on keywords related to "eco-friendly cleaning products." We've dissected the current SERP landscape, identified dominant competitors, analyzed the types of content and SERP features currently ranking, and pinpointed specific opportunities for your brand to gain traction with less competition.

Our analysis reveals significant potential to capture market share by addressing underserved user intent, creating authoritative content for specific long-tail keywords, and strategically targeting underutilized SERP features.

Key Findings Summary

Our analysis of the "eco-friendly cleaning products" keyword cluster and related long-tail queries highlights the following key opportunities:

  1. Underutilized Informational & Investigational Intent: While commercial "best of" lists are prevalent, there's a significant gap in in-depth, authoritative content addressing specific ingredients, certifications, efficacy comparisons, and detailed "how-to" guides for niche cleaning challenges.
  2. Long-Tail Keyword Potential: Numerous long-tail keywords related to specific cleaning problems (e.g., "eco-friendly mold remover," "non-toxic pet stain cleaner," "sustainable laundry strip reviews") show lower competition and high user intent.
  3. Featured Snippet & PAA Opportunities: Many informational queries currently lack highly optimized, concise answers, creating opportunities to capture Featured Snippets and dominate "People Also Ask" sections.
  4. Visual Content Gaps: Beyond basic product images, there's a lack of detailed infographics, comparative charts, and short explanatory videos embedded within content, which could enhance user experience and capture video/image carousels.
  5. Authority Building in Specific Niches: General review sites often lack the depth or specific focus that a dedicated sustainable living brand can provide, offering a path to build true topical authority.

Detailed SERP Feature Analysis & Opportunities

We examined the presence and characteristics of various SERP features for our target keyword cluster.

1. Featured Snippets (FS)

  • Current State: Predominantly occupied by large retailers (e.g., Amazon, Grove Collaborative) or general health/lifestyle blogs (e.g., Healthline, Good Housekeeping) offering definitions or "best of" lists. Often, the answers are general rather than deeply specific.
  • Opportunity:

* Target Specific Questions: Focus on answering precise questions related to "eco-friendly cleaning" that current FS either miss or answer superficially. Examples:

* "What makes a cleaning product truly eco-friendly?"

* "Are natural cleaning products as effective as chemical ones?"

* "How to properly dispose of eco-friendly cleaning product packaging?"

* Concise, Authoritative Answers: Structure your content with clear H2/H3 headings that are direct questions, followed immediately by a concise, definitive answer (40-60 words), then elaborate. Use bulleted or numbered lists where appropriate for "how-to" or "listicle" snippets.

2. People Also Ask (PAA)

  • Current State: Highly present for almost all queries, reflecting a strong user desire for related information. Questions often cover efficacy, safety, specific ingredients, and DIY alternatives.
  • Opportunity:

* Content Expansion: Use PAA questions as direct inspiration for subheadings and content sections within your articles. Each PAA question represents an informational micro-gap.

* Pre-empt PAA: Proactively answer these questions clearly and concisely within your content, increasing the likelihood of your site appearing in the PAA section.

* Deep Dive Articles: Create dedicated articles that answer a cluster of related PAA questions comprehensively.

3. Image Packs

  • Current State: Common for product-related queries, showing product images from e-commerce sites. Less common for conceptual or "how-to" queries.
  • Opportunity:

* Informative Visuals: For informational content, create high-quality, unique images beyond just product shots. Examples:

* Infographics comparing different eco-friendly certifications.

* Step-by-step visuals for DIY eco-friendly cleaning recipes.

* Before-and-after photos for specific cleaning challenges using eco-friendly products.

* Image Optimization: Ensure all images are properly optimized with descriptive alt text, relevant file names, and appropriate dimensions to maximize visibility in image packs.

4. Video Carousels

  • Current State: Sporadically present, primarily for "how-to" guides (e.g., "how to make DIY eco-friendly cleaner") or product reviews. Often dominated by YouTube channels rather than brand websites.
  • Opportunity:

* Integrated Video Content: Embed short, high-quality explanatory or instructional videos directly within your relevant blog posts.

* Target "How-To" & Reviews: Develop video content specifically for "how-to" guides (e.g., "How to use eco-friendly laundry strips effectively") and concise product reviews or comparisons.

* YouTube Optimization: Ensure your YouTube videos are optimized for search (titles, descriptions, tags, chapters) and link back to your detailed articles.

5. Shopping Results / Product Listings

  • Current State: Highly dominant for direct product queries (e.g., "buy eco-friendly dish soap"). Occupied by major retailers and brand e-commerce sites.
  • Opportunity:

* Affiliate Content: If not directly selling, create highly detailed, unbiased review articles comparing specific eco-friendly products. These can drive affiliate revenue while providing valuable information, capturing users further down the funnel.

* Comparison Guides: Develop "X vs. Y" or "Best Eco-Friendly [Product Type] for [Specific Need]" guides. These can rank for commercial intent while offering a unique angle.


Detailed Content Gap Analysis & Opportunities

We analyzed the content strategies of top-ranking competitors to identify what's missing or under-addressed.

1. Lack of Deep-Dive, Authoritative Content

  • Current State: Most ranking content consists of "top 10 lists," general "best of" roundups, or introductory articles. While useful, they often lack granular detail or scientific backing.
  • Opportunity:

* Ingredient Spotlights: Create in-depth articles on specific eco-friendly ingredients (e.g., "The Power of Castile Soap in Eco-Cleaning," "Understanding Plant-Based Surfactants").

* Certification Breakdowns: Publish comprehensive guides explaining various eco-friendly certifications (e.g., "Demystifying EWG Verified vs. Green Seal: What Do They Mean for Your Cleaning Products?").

* Environmental Impact Analysis: Articles discussing the lifecycle assessment of different cleaning product types (e.g., "The Carbon Footprint of Concentrated Cleaners vs. Single-Use Bottles").

2. Underserved Long-Tail Keywords & Niche Problems

  • Current State: Broad keywords are saturated. Many highly specific user problems or niche product types are not adequately addressed by top-ranking pages.
  • Opportunity:

* Problem-Solution Content: Target specific cleaning challenges with eco-friendly solutions. Examples:

* "Best Eco-Friendly Mold Remover for Bathrooms"

* "Non-Toxic Pet Stain Cleaner That Actually Works"

* "Sustainable Laundry Solutions for Sensitive Skin"

* "How to Clean Stainless Steel with Eco-Friendly Products"

* Product-Specific Reviews/Comparisons: Go beyond generic "best of" lists. Create detailed reviews comparing 2-3 specific, niche eco-friendly products (e.g., "Blueland vs. Cleancult: Which Refillable Cleaning System is Best?").

3. Gaps in Addressing Specific User Intent

  • Current State: Strong coverage for commercial intent ("buy best products") and basic informational intent ("what are eco-friendly cleaners").
  • Opportunity:

* Investigational Intent: Address users who are skeptical or deeply researching. Examples:

* "Are 'Green' Cleaning Products Just Marketing Hype? A Deep Dive."

* "The Truth About DIY Eco-Friendly Cleaners: Pros, Cons, and Recipes."

* Comparison & Decision-Making Intent: Help users navigate complex choices. Examples:

* "Powder vs. Liquid Eco-Friendly Laundry Detergent: Which is Right for You?"

* "Reusable vs. Disposable Eco-Friendly Cleaning Cloths: A Cost-Benefit Analysis."

4. Lack of Diverse Content Formats & Media

  • Current State: Primarily text-based articles, often with generic stock photos or simple product shots.
  • Opportunity:

* Interactive Content: Consider quizzes ("Find Your Perfect Eco-Friendly Cleaning Routine"), calculators (e.g., "Cost Savings of Switching to Refillable Cleaners").

* Rich Media Integration: Embed custom infographics, data visualizations, comparison tables, and short instructional videos within articles to break up text and convey complex information effectively.

* Downloadable Resources: Offer checklists (e.g., "Eco-Friendly Cleaning Product Shopping Checklist"), printable guides, or recipe cards for DIY solutions.


Identified Low-Competition Ranking Opportunities (Actionable Recommendations)

Based on our analysis, here are specific, actionable opportunities to target for low-competition ranking:

  1. Target Keyword Cluster: "Eco-Friendly Mold Remover"

Gap: Limited authoritative content specifically on eco-friendly* solutions for mold. Most results are generic or chemical-based.

* Recommended Content: A comprehensive guide titled "The Ultimate Guide to Eco-Friendly Mold Removal: Safe & Effective Solutions."

* SERP Feature Focus: Target Featured Snippet for "Best natural mold remover" and PAA questions like "Does vinegar kill mold?" or "Is hydrogen peroxide safe for mold?"

* Content Elements: Include DIY recipes, reviews of specific eco-friendly mold removal products, safety tips, and preventative measures. Use before-and-after images.

  1. Target Keyword Cluster: "Sustainable Laundry Solutions for Sensitive Skin"

* Gap: While "eco-friendly laundry" is covered, the intersection with "sensitive skin" is less frequently addressed by dedicated, in-depth content.

* Recommended Content: A detailed article: "Gentle & Green: The Best Sustainable Laundry Solutions for Sensitive Skin."

* SERP Feature Focus: Aim for Featured Snippets for "Eco-friendly laundry detergent sensitive skin" and PAA questions about specific ingredients to avoid or look for.

* Content Elements: Compare different formats (strips, pods, powders), highlight ingredient transparency, discuss certifications relevant to sensitive skin, and review specific brands.

  1. Target Keyword Cluster: "Understanding Eco-Friendly Cleaning Certifications"

* Gap: Users are confused by numerous labels (EWG, Green Seal, Leaping Bunny, etc.). No single authoritative resource clearly explains and compares them.

* Recommended Content: An ultimate guide: "Demystifying Eco-Friendly Cleaning Certifications: What Every Consumer Needs to Know."

* SERP Feature Focus: Target a list-based Featured Snippet for "List of eco-friendly cleaning certifications" and PAA questions about what each certification means.

* Content Elements: Create a comparative table of certifications, explain criteria, discuss their credibility, and provide examples of brands that carry them. Use an infographic.

  1. Target Keyword Cluster: "DIY Eco-Friendly Cleaning Recipes for [Specific Room/Challenge]"

* Gap: General DIY recipes exist, but specific, well-tested recipes for particular challenges or rooms (e.g., "DIY eco-friendly bathroom descaler," "Homemade non-toxic kitchen degreaser") are less common and often lack visual guides.

* Recommended Content: A series of highly practical, step-by-step "How-To" guides, e.g., "5 Easy & Effective DIY Eco-Friendly Bathroom Cleaners."

* SERP Feature Focus: Prioritize video carousels and image packs with clear, sequential visuals for each step. Target Featured Snippets for recipe ingredients/instructions.

* Content Elements: Include ingredient lists, clear instructions, safety notes, cost comparisons, and embedded short videos for each recipe.

  1. Target Keyword Cluster: "The Environmental Impact of [Specific Cleaning Product Type]"

* Gap: High-level environmental claims are common, but detailed analysis of the impact of specific product types (e.g., "Concentrated cleaners vs. pre-mixed," "Plastic-free dish soap bars vs. liquid") is rare.

* Recommended Content: In-depth, research-backed articles like "The True Environmental Cost: Concentrated vs. Pre-Mixed Eco-Friendly Cleaners."

* SERP Feature Focus: Target informational Featured Snippets for specific comparisons and PAA questions about the

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\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);}});}