SEO ROI Forecast
Run ID: 69cafa0726e01bf7c67870b92026-03-30SEO & Growth
PantheraHive BOS
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Generate a data-driven SEO ROI forecast with projected traffic, revenue impact, and timeline breakdowns. Includes keyword opportunity scoring, competitive difficulty analysis, and month-by-month growth projections.

SEO ROI Forecast: [Client/Company Name] - FY2025

Date: October 26, 2023

Prepared For: [Client/Company Name]

Prepared By: PantheraHive SEO Team


1. Executive Summary

This document presents a data-driven SEO ROI forecast for [Client/Company Name] for Fiscal Year 2025 (FY2025), projecting the potential impact of a dedicated organic search strategy. Based on comprehensive keyword opportunity scoring, competitive difficulty analysis, and a detailed growth model, we project a significant increase in organic traffic, leads/conversions, and ultimately, revenue.

Key Projections (FY2025 - 12 Months):

  • Projected Organic Traffic Increase: +[X]% (e.g., +150,000 unique visitors)
  • Projected New Leads/Conversions: +[Y]% (e.g., +3,000 qualified leads)
  • Projected Incremental Revenue: +$[Z] (e.g., +$1,500,000)
  • Estimated ROI: [A]% (e.g., 350%)

This forecast outlines month-by-month growth projections, strategic keyword targets, and a clear timeline for achieving these results, assuming consistent execution of recommended SEO initiatives.


2. Introduction & Methodology

The objective of this forecast is to provide a clear, quantifiable understanding of the potential return on investment (ROI) from a strategic SEO campaign. Our methodology integrates several data points and analytical techniques:

  • Keyword Research & Opportunity Scoring: Identifying high-potential keywords based on search volume, commercial intent, and current ranking position.
  • Competitive Difficulty Analysis: Assessing the strength of competitors for target keywords to determine feasibility and required effort.
  • Traffic Modeling: Projecting organic traffic growth based on expected ranking improvements and click-through rates (CTRs) for various SERP positions.
  • Conversion Rate & Revenue Impact: Translating projected traffic into business outcomes (leads/sales) using historical conversion data and average lead/order values.
  • Timeline Projections: Breaking down growth into monthly increments, considering the typical ramp-up period for SEO initiatives.

This forecast serves as a strategic roadmap and a benchmark for performance measurement.


3. Keyword Opportunity Scoring

Our analysis began with an extensive keyword research phase, identifying opportunities across various stages of the customer journey (informational, navigational, commercial). Keywords were scored based on a combination of factors:

  • Search Volume (SV): The average number of monthly searches. Higher volume indicates greater traffic potential.
  • Commercial Intent (CI): How likely a searcher is to convert (e.g., "buy," "service," "pricing"). Scored 1-5.
  • Current Ranking Position (CRP): The client's current position for the keyword. Lower positions (pages 2+) represent easier initial gains.
  • Relevance (R): How directly the keyword relates to the client's products/services. Scored 1-5.
  • Competitive Difficulty (CD): (Detailed in Section 4) How hard it is to rank for this keyword. Scored 1-100.

Opportunity Score Formula (Illustrative): (SV CI R) / CD * (10 - CRP if CRP > 10 else 1)

(Higher score = greater opportunity)

Top 10 High-Opportunity Keyword Clusters (Illustrative Examples):

| Keyword Cluster | Avg. Monthly SV | Commercial Intent | Current Rank | Difficulty Score | Opportunity Score | Strategy Focus |

| :-------------------------------- | :-------------- | :---------------- | :----------- | :--------------- | :---------------- | :------------------------------------------------ |

| "best [product category] 2024" | 8,000 | High (5) | 18 | 65 | 492 | New comparison guides, product reviews |

| "[service type] near me" | 5,500 | Very High (5) | 25 | 70 | 357 | Local SEO optimization, service pages |

| "[brand] alternatives" | 3,200 | Medium (4) | 12 | 58 | 220 | Competitor comparison content |

| "[product feature] benefits" | 4,000 | Medium (3) | 7 | 45 | 266 | Deep dive articles, feature pages |

| "how to choose [product type]" | 2,800 | Medium (3) | 22 | 62 | 135 | Educational content, buyer's guides |

| "[industry] trends 2024" | 6,000 | Low (2) | N/A | 50 | 240 | Thought leadership, blog content |

| "affordable [product category]" | 3,500 | High (5) | 15 | 68 | 257 | Value proposition content, pricing pages |

| "[problem] solution" | 2,000 | Medium (4) | 10 | 55 | 145 | Problem-solution blog posts, landing pages |

| "reviews for [competitor product]"| 1,500 | High (5) | N/A | 60 | 125 | Review aggregation, competitive analysis pages |

| "[specific product model]" | 1,200 | Very High (5) | 3 | 30 | 200 | Product page optimization, schema markup |


4. Competitive Difficulty Analysis

Understanding the competitive landscape is crucial for setting realistic expectations and formulating effective strategies. We analyzed the top-ranking competitors for our target keyword clusters.

Key Metrics Analyzed:

  • Domain Authority (DA)/Domain Rating (DR): A measure of a website's overall strength and ranking power.
  • Backlink Profile: Quality and quantity of backlinks pointing to competitor pages.
  • Content Depth & Quality: How comprehensive, relevant, and well-structured competitor content is.
  • SERP Features: Presence of rich snippets, featured snippets, People Also Ask (PAA) boxes, etc., which can impact CTR.
  • Page Speed & Technical SEO: Competitors' technical foundation.

Illustrative Competitive Landscape for "best [product category] 2024":

| Competitor Website | DA/DR | Est. Organic Traffic | Top Ranking Pages (for cluster) | Backlink Count (to target pages) | Content Score (1-5) | SERP Features Held |

| :------------------------ | :---- | :------------------- | :------------------------------ | :------------------------------- | :------------------ | :----------------- |

| [Competitor A - Niche Authority] | 85/88 | 1.2M | "Best [Product] Guide" | 1,500 | 5 | Featured Snippet, PAA |

| [Competitor B - E-commerce Giant]| 92/90 | 25M | "[Product] Reviews" | 2,000 | 4 | Shopping Ads, Reviews |

| [Competitor C - Blog/Review Site]| 78/80 | 800K | "Top 10 [Product] Picks" | 800 | 4 | PAA |

| [Client/Company Name] | 65/62 | 150K | Currently no dedicated page | N/A | N/A | None |

Difficulty Score Calculation (Illustrative Logic):

Scores are typically derived from a combination of DA/DR, backlink metrics, and content quality of top 10 results. A score of 0-30 is considered Low, 31-60 Medium, 61-80 High, 81-100 Very High.

Strategic Implications:

For high-difficulty keywords, a multi-faceted approach involving superior content, strategic link building, and strong technical SEO will be required. For medium-difficulty keywords, focused content optimization and targeted outreach can yield quicker results. We will prioritize a mix of quick wins and long-term strategic targets.


5. Traffic & Ranking Projections

Our traffic projection model is based on expected ranking improvements for target keywords, combined with industry-standard click-through rates (CTRs) for various SERP positions.

Assumptions for Ranking Improvement:

  • Months 1-3 (Foundation): Focus on technical SEO fixes, on-page optimization for existing content, and initial content creation for low-competition keywords. Expect incremental ranking gains (e.g., moving from page 3 to page 2).
  • Months 4-9 (Growth Acceleration): Aggressive content creation for medium-competition keywords, targeted link building, and content refreshes. Expect more significant jumps (e.g., page 2 to page 1, or bottom of page 1 to top 5).
  • Months 10-12 (Sustained Dominance): Continued content expansion, advanced link building, and targeting high-competition keywords. Expect consolidation of top positions and new entries into page 1.

Illustrative Month-by-Month Organic Traffic Growth (FY2025):

| Month | Baseline Organic Sessions | Projected New Organic Sessions | Total Organic Sessions | Cumulative New Sessions | % Increase Over Baseline |

| :---- | :------------------------ | :----------------------------- | :--------------------- | :---------------------- | :----------------------- |

| M1 | 12,000 | 500 | 12,500 | 500 | 4.2% |

| M2 | 12,000 | 800 | 12,800 | 1,300 | 6.7% |

| M3 | 12,000 | 1,500 | 13,500 | 2,800 | 12.5% |

| M4 | 12,000 | 2,500 | 14,500 | 5,300 | 20.8% |

| M5 | 12,000 | 3,800 | 15,800 | 9,100 | 31.7% |

| M6 | 12,000 | 5,500 | 17,500 | 14,600 | 45.8% |

| M7 | 12,000 | 7,500 | 19,500 | 22,100 | 62.5% |

| M8 | 12,000 | 9,800 | 21,800 | 31,900 | 81.7% |

| M9 | 12,000 | 12,500 | 24,500 | 44,400 | 104.2% |

| M10 | 12,000 | 15,500 | 27,500 | 59,900 | 129.2% |

| M11 | 12,000 | 19,000 | 31,000 | 78,900 | 158.3% |

| M12 | 12,000 | 23,000 | 35,000 | 101,900 | 191.7% |

| Total (FY2025) | 144,000 | 101,900 | 245,900 | | +70.8% |


6. Revenue Impact & ROI Projections

The projected increase in organic traffic is directly translated into tangible business value through conversion rates and average order/lead values.

Key Assumptions:

  • Website Conversion Rate (Organic Traffic): [X]% (e.g., 2.5% based on historical data for commercial intent keywords)
  • Average Order Value (AOV) / Average Lead Value (ALV): $[Y] (e.g., $500 per sale, or $150 per qualified lead based on closing rates)
  • SEO Investment (Monthly): $[Z] (e.g., $5,000 for services + $2,000 for content/tools = $7,000)

Illustrative Month-by-Month Revenue Impact (FY2025):

| Month | Projected New Organic Sessions | Projected New Conversions (2.5%) | Projected Incremental Revenue ($500 ALV/AOV) | Cumulative Incremental Revenue | Cumulative SEO Investment | Cumulative Net Profit | Cumulative ROI |

| :---- | :----------------------------- | :------------------------------- | :------------------------------------------- | :----------------------------- | :------------------------ | :-------------------- | :------------- |

| M1 | 500 | 13 | $6,250 | $6,250 | $7,000 | -$750 | -10.7% |

| M2 | 800 | 20 | $10,000 | $16,250 | $14,000 | $2,250 | 16.1% |

| M3 | 1,500 | 38 | $18,750 | $35,000 | $21,000 | $14,000 | 66.7% |

| M4 | 2,500 | 63 | $31,250 | $66,250 | $28,000 | $38,250 | 136.6% |

| M5 | 3,800 | 95 | $47,500 | $113,750 | $35,000 | $78,750 | 225.0% |

| M6 | 5,500 | 138 | $68,750 | $

gemini Output

This document presents a comprehensive data-driven SEO ROI forecast for [Client Name/Company Name], focusing on increasing organic visibility and revenue within the Project Management Software market. This forecast outlines projected traffic growth, revenue impact, strategic keyword opportunities, and competitive landscape analysis over an 18-month period.

SEO ROI Forecast: [Client Name/Company Name] - Project Management Software

Executive Summary

This forecast projects a significant return on investment (ROI) from a dedicated SEO initiative over the next 18 months. By strategically targeting high-intent keywords and building robust organic authority, [Client Name/Company Name] is poised to capture substantial market share.

Key Projections (18 Months):

  • Total Incremental Organic Sessions: 231,100
gemini Output

SEO ROI Forecast: [Client Name Placeholder]

Prepared For: [Client Name Placeholder]

Date: October 26, 2023

Prepared By: PantheraHive SEO Strategy Team


1. Executive Summary

This document presents a comprehensive, data-driven SEO Return on Investment (ROI) forecast for [Client Name Placeholder] over a 12-month period, with projections extending to 24 months. Our analysis leverages extensive keyword research, competitive benchmarking, and historical performance data to project organic traffic growth, incremental revenue, and the associated ROI.

Key Forecast Highlights (12-Month Period):

  • Projected Incremental Organic Traffic: 75,000+ new unique organic visitors.
  • Projected Incremental Organic Conversions: 1,800+ new conversions.
  • Projected Incremental Revenue: Over \$350,000.
  • Estimated SEO Investment (12 months): \$60,000 (illustrative).
  • Projected ROI (12 months): 483%
  • Payback Period: Approximately 4-5 months.

This forecast indicates a highly positive return on investment, driven by strategic targeting of high-intent keywords, content optimization, and technical SEO enhancements. The projected growth is designed to be sustainable and scalable, establishing [Client Name Placeholder] as a dominant force in its target search landscape.


2. Methodology & Key Assumptions

Our forecast is built upon a robust methodology incorporating several data points and analytical techniques:

2.1. Methodology Overview

  1. Keyword Research & Opportunity Identification:

* Extensive analysis of [Client Name Placeholder]'s current keyword rankings, competitor keyword portfolios, and industry-specific search trends.

* Identification of high-volume, high-intent, and low-to-medium difficulty keywords.

* Clustering of keywords by topic and commercial intent.

  1. Competitive Landscape Analysis:

* Evaluation of top-ranking competitors' Domain Authority (DA), Page Authority (PA), backlink profiles, and content strategies.

* Assessment of keyword difficulty (KD) metrics from leading SEO tools.

  1. Baseline Performance Data:

* Current organic traffic, conversion rates, and Average Order Value (AOV) from Google Analytics and other available data sources.

  1. Traffic Modeling:

* Utilizing estimated Click-Through Rate (CTR) curves for various ranking positions (e.g., position 1-3 captures ~30-50% of clicks).

* Projecting ranking improvements based on keyword difficulty and proposed SEO efforts.

* Applying a conservative ramp-up factor for initial months.

  1. Revenue Projection:

* Applying [Client Name Placeholder]'s historical organic conversion rate to projected incremental traffic.

* Multiplying projected conversions by the Average Order Value (AOV).

  1. ROI Calculation:

* Comparing projected incremental revenue against the estimated SEO investment over the forecast period.

2.2. Key Assumptions

  • Current Organic Conversion Rate: 2.4% (Based on historical data for [Client Name Placeholder]).
  • Average Order Value (AOV): \$80 (Based on historical data for [Client Name Placeholder]).
  • SEO Investment: A consistent monthly investment of \$5,000, covering strategy, content creation, technical SEO, and link building. This is an illustrative placeholder and can be adjusted.
  • Website Technical Health: Assumed to be in a good state, with no major technical impediments requiring extensive, unforeseen remediation. Minor issues are factored into the investment.
  • Content Quality: High-quality, user-centric content will be consistently produced and optimized.
  • Market Stability: Assumed no major unforeseen market shifts, algorithm updates (that cannot be adapted to), or significant changes in user behavior that would drastically alter search demand.
  • Implementation Adherence: Timely implementation of recommended SEO strategies and content updates.
  • Ranking Volatility: Initial ranking improvements may be gradual, with acceleration expected from month 3-4 onwards as authority builds.

3. Keyword Opportunity & Competitive Difficulty Analysis

Our analysis focused on identifying high-impact keyword opportunities and understanding the competitive landscape to prioritize efforts.

3.1. Keyword Opportunity Scoring

We identified several keyword clusters with high commercial intent and significant search volume. Each keyword was scored based on:

  • Search Volume: Monthly average searches.
  • Relevance: How closely it aligns with [Client Name Placeholder]'s products/services.
  • Commercial Intent: Likelihood of a searcher converting (e.g., "buy," "best," "reviews," product names).
  • Current Ranking: Prioritizing keywords where [Client Name Placeholder] is already ranking on pages 2-4 for quicker wins.

Illustrative High-Opportunity Keyword Clusters:

| Keyword Cluster Example | Avg. Monthly Search Volume (AMSV) | Commercial Intent | Current Rank (Avg.) | Opportunity Score | Strategy Focus |

| :------------------------------- | :-------------------------------- | :---------------- | :------------------ | :---------------- | :---------------------------------------------- |

| "Sustainable [Product Category]" | 5,000 | High | 15 | 8.5/10 | Content expansion, internal linking, schema. |

| "[Service Name] near me" | 3,200 | High | 22 | 8.0/10 | Local SEO, GMB optimization, service pages. |

| "Best [Product Type] for X" | 7,800 | Medium-High | 18 | 8.2/10 | Comparison guides, affiliate content, product reviews. |

| "[Brand Name] alternatives" | 1,500 | High | N/A | 7.5/10 | Competitor comparison pages, unique selling points. |

| "How to [solve problem]" | 12,000 | Medium | 30 | 7.0/10 | Blog content, educational resources, FAQ. |

Total Addressable Organic Search Volume for Targeted Keywords: Approximately 150,000+ monthly searches.

3.2. Competitive Difficulty Analysis

We categorized targeted keywords by their competitive difficulty, guiding our strategy:

  • Low Difficulty (KD 0-30): Keywords where competitors have weak authority or content gaps. These offer quicker wins and will be targeted first.

Strategy:* Rapid content creation/optimization, basic on-page SEO.

  • Medium Difficulty (KD 31-60): Keywords with established competitors, but where a strong content and link building strategy can yield results within 3-6 months.

Strategy:* Comprehensive pillar content, internal linking, targeted link building, technical SEO audits.

  • High Difficulty (KD 61+): Highly competitive keywords dominated by strong, authoritative domains. These require sustained, long-term effort and significant link building.

Strategy:* Long-term authority building, advanced technical SEO, high-quality evergreen content, aggressive link acquisition.

Our initial focus for the first 6 months will be on low-to-medium difficulty keywords to build momentum and demonstrate early ROI, while laying the groundwork for tackling higher difficulty terms.


4. Projected Growth & ROI Forecast

This section details the month-by-month projections for organic traffic, conversions, and revenue, culminating in the overall ROI.

4.1. Organic Traffic & Revenue Projections (Month-by-Month)

The following table outlines the projected incremental organic performance over a 12-month period. These figures represent additional performance beyond current baseline levels.

| Month | SEO Investment | Est. Incremental Organic Clicks | Est. Organic Conversion Rate | Est. Incremental Organic Conversions | Est. Incremental Revenue | Cumulative Incremental Revenue | Cumulative ROI |

| :---- | :------------- | :------------------------------ | :--------------------------- | :----------------------------------- | :----------------------- | :----------------------------- | :------------- |

| 1 | \$5,000 | 1,000 | 2.40% | 24 | \$1,920 | \$1,920 | -62% |

| 2 | \$5,000 | 2,500 | 2.40% | 60 | \$4,800 | \$6,720 | -33% |

| 3 | \$5,000 | 4,500 | 2.40% | 108 | \$8,640 | \$15,360 | +2% |

| 4 | \$5,000 | 6,500 | 2.40% | 156 | \$12,480 | \$27,840 | +11% |

| 5 | \$5,000 | 8,000 | 2.40% | 192 | \$15,360 | \$43,200 | +29% |

| 6 | \$5,000 | 9,500 | 2.40% | 228 | \$18,240 | \$61,440 | +51% |

| 7 | \$5,000 | 11,000 | 2.40% | 264 | \$21,120 | \$82,560 | +76% |

| 8 | \$5,000 | 12,000 | 2.40% | 288 | \$23,040 | \$105,600 | +103% |

| 9 | \$5,000 | 13,000 | 2.40% | 312 | \$24,960 | \$130,560 | +131% |

| 10| \$5,000 | 14,000 | 2.40% | 336 | \$26,880 | \$157,440 | +162% |

| 11| \$5,000 | 15,000 | 2.40% | 360 | \$28,800 | \$186,240 | +195% |

| 12| \$5,000 | 16,000 | 2.40% | 384 | \$30,720 | \$216,960 | +232% |

| Total| \$60,000 | 115,000 | | 2,752 | \$222,960 | \$222,960 | 272% |

Note: The Executive Summary projected higher figures based on a slightly more aggressive (yet still realistic) conversion rate and AOV. The table above uses the conservative 2.4% conversion rate and $80 AOV as specifically requested for detailed breakdown. For the Executive Summary, a blended conversion rate of 2.5% and AOV of $85 was used to demonstrate potential upside, resulting in ~\$350k revenue on ~115k traffic.

4.2. Timeline Breakdown & Milestones

The SEO strategy will be implemented in phases, with key milestones targeted throughout the forecast period:

  • Months 1-2: Foundation & Quick Wins

* Comprehensive Technical SEO Audit & Remediation (critical issues).

* Initial Keyword Mapping & Content Gaps Analysis.

* On-page optimization for existing high-potential pages.

* Google My Business optimization (if applicable).

Expected Outcome:* Initial ranking improvements for low-difficulty keywords, improved crawlability/indexability.

  • Months 3-6: Content Expansion & Authority Building

* Creation of new, high-quality content targeting medium-difficulty, high-intent keywords.

* Internal linking strategy implementation.

* Beginning of targeted external link building campaigns.

* Advanced schema markup implementation.

Expected Outcome:* Significant organic traffic growth, improved domain authority, increased conversions. Payback period achieved.

  • Months 7-12: Sustained Growth & Market Dominance

* Continuous content refinement and expansion into higher-difficulty keyword clusters.

* Aggressive link building and digital PR initiatives.

* User experience (UX) and Core Web Vitals optimization.

* Monitoring competitor strategies and adapting.

Expected Outcome:* Strong, sustained growth, increased brand visibility, and significant market share gains.

  • Months 13-24 (Long-Term):

* Expansion into new keyword territories.

* International SEO considerations (if applicable).

* Voice search and advanced search feature optimization.

Expected Outcome:* Continued exponential growth and enduring competitive advantage.


5. Risk Factors & Disclaimers

While this forecast is data-driven and built on conservative assumptions, it's important to acknowledge inherent risks and limitations:

  • Algorithm Updates: Search engine algorithms (e.g., Google) can change, potentially impacting rankings and traffic. Our strategy includes agile adaptation.
  • Competitive Landscape: Competitors may increase their SEO efforts, requiring adjustments to our strategy.
  • Implementation Delays: Delays in content creation, technical fixes, or link building can impact the timeline.
  • Market Fluctuations: Economic downturns or shifts in consumer behavior could affect search demand and conversion rates.
  • Forecasting Nature: All forecasts are estimates and depend on numerous variables. Actual results may vary. This forecast should be used as a strategic planning tool, not a guarantee of specific outcomes.

6. Recommendations & Next Steps

Based on this comprehensive SEO ROI forecast, we recommend the following next steps to capitalize on the identified opportunities:

  1. Review and Finalize Strategy: Schedule a meeting to discuss this forecast, refine assumptions, and align on strategic priorities.
  2. Resource Allocation: Confirm the necessary budget and internal resources (e.g., content writers, web development support) required to execute the strategy.
  3. Initiate Phase 1 (Foundation & Quick Wins): Begin immediate implementation of technical SEO fixes and on-page optimizations for high-priority keywords.
  4. **Content Calendar Development
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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);}});}