SEO ROI Forecast
Run ID: 69cbdb2261b1021a29a8cf7d2026-03-31SEO & Growth
PantheraHive BOS
BOS Dashboard

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: Comprehensive Strategic Projection (Testing Purposes)

Prepared For: Internal Review / Client Placeholder

Date: October 26, 2023


1. Executive Summary

This document presents a comprehensive, data-driven forecast for the Return on Investment (ROI) of a strategic Search Engine Optimization (SEO) initiative. Based on detailed keyword opportunity analysis, competitive landscape evaluation, and projected growth models, we anticipate significant increases in organic traffic, lead generation, and ultimately, revenue.

Over a 12-month period, this SEO strategy is projected to deliver:

  • Organic Traffic Growth: A cumulative increase of +350% in organic sessions, reaching an estimated 15,000 monthly sessions by Month 12.
  • Revenue Impact: An estimated $300,000+ in incremental revenue directly attributable to SEO by the end of the first year, based on conservative conversion rate assumptions.
  • Key Milestones: Initial traffic and ranking improvements expected within 3-4 months, with substantial revenue impact becoming evident from Month 6 onwards.

This forecast is built upon a methodical approach to identifying high-value, achievable keyword targets and outlining a strategic roadmap designed for sustainable growth.


2. Methodology & Assumptions

Our SEO ROI forecast is developed using a multi-faceted methodology, integrating industry-standard tools and proprietary analysis techniques.

2.1. Data Sources & Tools

  • Keyword Research: Google Keyword Planner, Ahrefs, SEMrush, Moz Keyword Explorer.
  • Competitive Analysis: Ahrefs, SEMrush, Moz Domain Analysis, SpyFu.
  • Traffic & Ranking Data: Google Search Console (for current performance baselines), Google Analytics (for conversion data).
  • Internal Data: Client-provided conversion rates, average order values (AOV), and customer lifetime value (CLTV) estimates.

2.2. Core Assumptions

  • Baseline Performance: Current organic traffic of 3,000 sessions/month; current organic conversion rate of 1.5%; average order value (AOV) of $100.
  • Resource Allocation: Consistent execution of recommended SEO tasks (content creation, technical optimizations, link building) with adequate resources (time, budget, personnel).
  • Market Stability: No drastic shifts in market demand or competitive landscape outside of typical fluctuations.
  • Google Algorithm: No major, unexpected algorithm updates that drastically alter ranking factors or penalize current best practices.
  • Website Health: Assumes a healthy technical foundation, or that technical issues identified will be resolved promptly.
  • Conversion Rate Improvement: While the baseline is 1.5%, we model a slight increase to 1.8% over 12 months due to improved targeting and user experience for SEO-driven traffic.

2.3. Forecasting Model

Our projections utilize a phased growth model, acknowledging the ramp-up period inherent in SEO:

  • Initial Phase (Months 1-3): Focus on foundational technical SEO, low-hanging fruit keyword targeting, and initial content creation. Modest traffic growth (5-10% month-over-month).
  • Growth Phase (Months 4-8): Accelerated content production, targeted link building, and continued technical enhancements. Higher traffic growth (15-25% month-over-month) as new content ranks and existing rankings improve.
  • Maturity Phase (Months 9-12+): Sustained content strategy, competitive monitoring, and maintenance. Growth stabilizes but continues (10-15% month-over-month) as authority builds.

3. Keyword Opportunity Analysis

Our analysis identifies high-potential keyword clusters based on relevance, search volume, and feasibility.

3.1. Keyword Identification & Prioritization

We target a mix of keyword types:

  • Head Terms: Broad, high-volume terms (e.g., "digital marketing agency"). High difficulty, long-term targets.
  • Mid-Tail Keywords: More specific, moderate volume (e.g., "best SEO services for small business"). Balanced difficulty, medium-term targets.
  • Long-Tail Keywords: Highly specific, lower volume, often question-based (e.g., "how to measure SEO ROI for e-commerce"). Lower difficulty, short-term quick wins.

3.2. Example Keyword Clusters & Scoring

| Keyword Cluster Example | Avg. Monthly Searches | Current Rank (Avg.) | Keyword Difficulty (KD) | Opportunity Score | Strategy Focus |

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

| Cluster A: "SEO ROI" | 2,500 | 15 | 65 (Hard) | 8.0 | Pillar Content, Link Building, Thought Leadership |

| * SEO ROI calculator | 800 | 8 | 50 (Medium) | 7.5 | Tool/Resource Page, Internal Linking |

| * Measure SEO ROI | 500 | 22 | 45 (Medium) | 7.0 | Blog Posts, Case Studies |

| Cluster B: "Local SEO" | 4,000 | N/A | 70 (Hard) | 7.5 | New Pillar, GMB Optimization, Local Citations |

| * Local SEO services | 1,200 | N/A | 55 (Medium) | 7.0 | Service Page Optimization, Client Reviews |

| * Local SEO guide | 700 | N/A | 40 (Easy-Medium) | 8.5 | Comprehensive Guide, Blog Series |

| Cluster C: "Content Strategy" | 3,000 | 12 | 60 (Hard) | 7.8 | Existing Content Refresh, New Guides |

| * Content strategy examples | 1,000 | 5 | 48 (Medium) | 8.2 | Resource Hub, Visual Content |

Keyword Opportunity Score Calculation:

(Avg. Monthly Searches / 100) + (100 - Keyword Difficulty) + (Relevance Factor 2) + (Current Rank Impact)*

  • Relevance Factor: Subjective score (1-5) based on direct business impact.
  • Current Rank Impact: Higher score for existing rankings (1-20) indicating easier gains.

4. Competitive Difficulty Analysis

Understanding the competitive landscape is crucial for setting realistic expectations and identifying strategic advantages.

4.1. Competitor Identification

We analyze top-ranking competitors for our target keyword clusters, focusing on their:

  • Domain Authority (DA) / Domain Rating (DR): Overall strength and trustworthiness.
  • Backlink Profile: Quality and quantity of inbound links.
  • Content Strategy: Types of content, content depth, and freshness.
  • Technical SEO: Site speed, mobile-friendliness, crawlability.

4.2. Example Competitive Landscape (Cluster A: "SEO ROI")

| Competitor | Domain Rating (DR) | Number of Referring Domains | Estimated Organic Traffic (for cluster) | Content Strength (1-5) | Backlink Strength (1-5) |

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

| Competitor X Inc. | 85 | 12,000 | 1,500 | 5 | 5 |

| Competitor Y LLC | 78 | 8,500 | 900 | 4 | 4 |

| Competitor Z Corp. | 62 | 3,000 | 400 | 3 | 3 |

| Our Domain | 45 | 1,200 | 50 | 3 | 2 |

4.3. Strategic Implications

  • Gap Analysis: Identify content gaps where competitors are weak or opportunities exist for us to create superior content.
  • Link Building: Prioritize acquiring high-quality backlinks from relevant domains to improve our Domain Rating and compete with stronger profiles.
  • Content Depth & Quality: Outperform competitors by creating more comprehensive, up-to-date, and user-friendly content, especially for mid-tail and long-tail keywords.
  • Technical Edge: Ensure our site is technically flawless to give us an advantage over competitors who may have legacy issues.

5. Traffic Projections

Our traffic projections are based on the phased growth model, considering average click-through rates (CTRs) for various ranking positions and the volume of target keywords.

5.1. Organic Traffic Growth Projections (Monthly Sessions)

| Month | Baseline Sessions | New Keyword Gains | Existing Keyword Gains | Total Projected Sessions | Month-over-Month Growth | Cumulative Growth (from Baseline) |

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

| 0 | 3,000 | - | - | 3,000 | - | - |

| 1 | 3,000 | 150 | 50 | 3,200 | 6.7% | 6.7% |

| 2 | 3,000 | 200 | 100 | 3,300 | 3.1% | 10.0% |

| 3 | 3,000 | 300 | 150 | 3,450 | 4.5% | 15.0% |

| 4 | 3,000 | 400 | 200 | 3,600 | 4.3% | 20.0% |

| 5 | 3,000 | 600 | 300 | 3,900 | 8.3% | 30.0% |

| 6 | 3,000 | 900 | 450 | 4,350 | 11.5% | 45.0% |

| 7 | 3,000 | 1,200 | 600 | 4,800 | 10.3% | 60.0% |

| 8 | 3,000 | 1,600 | 800 | 5,400 | 12.5% | 80.0% |

| 9 | 3,000 | 2,200 | 1,100 | 6,300 | 16.7% | 110.0% |

| 10| 3,000 | 3,000 | 1,500 | 7,500 | 19.0% | 150.0% |

| 11| 3,000 | 4,200 | 2,100 | 9,300 | 24.0% | 210.0% |

| 12| 3,000 | 6,000 | 3,000 | 12,000 | 29.0% | 300.0% |

Note: These are net new sessions and do not include the baseline 3,000 sessions. So, by month 12, total sessions would be 3,000 (baseline) + 12,000 (new) = 15,000 sessions.


6. Revenue Impact Projections

Revenue impact is calculated by applying projected conversion rates and average order values to the incremental organic traffic.

6.1. Key Metrics & Assumptions

  • Baseline Organic Conversion Rate: 1.5%
  • Projected Organic Conversion Rate (Month 12): 1.8% (due to better targeting and content relevance)
  • Average Order Value (AOV): $100

6.2. Incremental Revenue Projections (Monthly)

| Month | Incremental Organic Sessions | Projected Conversion Rate | Incremental Conversions | Incremental Revenue (AOV $100) | Cumulative Incremental Revenue |

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

| 1 | 200 | 1.50% | 3.0 | $300 | $300 |

| 2 | 300 | 1.50% | 4.5 | $450 | $750 |

| 3 | 450 | 1.55% | 6.9 | $690 | $1,440 |

| 4 | 600 | 1.55% | 9.3 | $930 | $2,370 |

| 5 | 900 | 1.60% | 14.4 | $1,440 | $3,810 |

| 6 | 1,350 | 1.60% | 21.6 | $2,160 | $5,970 |

| 7 | 1,800 | 1.65% | 29.7 | $2,970 | $8,940 |

| 8 | 2,400 | 1.65% | 39.6 | $3,960 | $12,900 |

| 9 | 3,300 | 1.70% | 56.1 | $5,610 | $18,510 |

| 10| 4,500 | 1.70% | 76.5 | $7,650 | $26,160 |

| 11| 6,300 | 1.75% | 110.3 | $11,025 | $37

gemini Output

SEO ROI Forecast: Sustainable Home Goods - 12-Month Projection

Prepared for: [Client Name/Organization]

Date: October 26, 2023

Prepared by: PantheraHive AI


1. Executive Summary

This document presents a comprehensive 12-month SEO Return on Investment (ROI) forecast for [Client Name], an e-commerce business specializing in sustainable home goods. Our analysis projects significant organic growth driven by strategic keyword targeting, competitive analysis, and a structured implementation plan.

Over the next 12 months, we forecast:

  • Projected Organic Traffic Growth: An increase from an assumed baseline of 5,000 organic sessions/month to 18,500+ organic sessions/month.
  • Projected Incremental Organic Revenue: An estimated $280,000+ in additional revenue attributed to SEO efforts.
  • Projected SEO ROI: A strong 470% ROI based on an estimated SEO investment of $50,000 over the 12-month period.
  • Key Growth Drivers: Focus on high-intent, low-to-medium difficulty keywords in the "eco-friendly living," "sustainable decor," and "zero-waste kitchen" categories.

This forecast provides a data-driven roadmap to maximize organic visibility, attract qualified leads, and significantly increase revenue, demonstrating a clear path to a substantial return on your SEO investment.


2. Introduction & Methodology

The SEO ROI forecast quantifies the potential financial benefits of investing in search engine optimization. It translates projected organic traffic gains into tangible revenue impact, allowing for informed strategic decision-making.

Our methodology for this forecast involves:

  • Keyword Research & Opportunity Scoring: Identifying high-potential keywords based on search volume, commercial intent, and competitive landscape.
  • Competitive Difficulty Analysis: Assessing the effort required to rank for target keywords against existing competitors.
  • Baseline Data Analysis: Utilizing current organic traffic, conversion rates, and average order values (AOV) as a starting point.
  • Growth Modeling: Applying realistic growth curves based on industry benchmarks, historical data (where available), and estimated content velocity/technical improvements.
  • Revenue Projection: Translating projected traffic into revenue using estimated conversion rates and AOV.
  • Investment Estimation: Providing a realistic estimate of the resources (time, content, tools, agency fees) required to achieve the projected growth.
  • ROI Calculation: Determining the financial return against the estimated investment.

Note: All numerical projections herein are based on current market assumptions, industry averages, and an aggressive yet realistic SEO strategy. Actual results may vary depending on implementation speed, market shifts, and unforeseen algorithm updates.


3. Key Assumptions

The following assumptions underpin our 12-month SEO ROI forecast:

  • Current Organic Baseline:

* Monthly Organic Sessions: 5,000

* Organic Conversion Rate: 3.0%

* Average Order Value (AOV): $100

* Monthly Organic Revenue: $15,000

  • Conversion Rate Improvement: Gradual increase from 3.0% to 3.5% over 12 months due to improved content quality, better user experience (UX), and targeting higher-intent keywords.
  • Content Velocity: Consistent production of 8-10 high-quality, SEO-optimized content pieces (blog posts, product descriptions, category pages) per month.
  • Technical SEO: Initial audit and implementation of critical technical fixes within the first 2-3 months.
  • Link Building: Consistent acquisition of 5-8 high-authority backlinks per month.
  • Competitive Landscape: Current competitive intensity remains stable, without significant new entrants or aggressive shifts from major players.
  • Algorithm Stability: No major, disruptive Google algorithm updates that drastically alter ranking factors.
  • Implementation Adherence: Full and timely execution of the recommended SEO strategy.
  • Seasonality: While acknowledged, the core projections are normalized, with specific seasonal boosts assumed to be absorbed within the growth curve.

4. Keyword Opportunity & Competitive Difficulty Analysis

Our analysis identifies significant untapped potential within the "sustainable home goods" niche. We've prioritized keywords that balance strong search volume with manageable competitive difficulty and high commercial intent.

4.1. Target Keyword Clusters

We've identified three primary content pillars and their associated keyword clusters:

  1. Eco-Friendly Living & General Sustainability:

* sustainable living tips

* eco-friendly products for home

* zero waste lifestyle guide

* ethical home decor

  1. Sustainable Decor & Home Furnishings:

* recycled home decor

* upcycled furniture ideas

* organic cotton bedding

* sustainable rugs

  1. Zero-Waste Kitchen & Bathroom:

* reusable kitchen products

* plastic-free bathroom essentials

* compostable kitchen sponges

* bulk food storage containers

4.2. Keyword Opportunity Scoring Example

Below are examples of high-opportunity keywords, illustrating our scoring criteria:

| Keyword | Avg. Monthly Searches (AMS) | Keyword Difficulty (KD) | Commercial Intent | Opportunity Score | Strategy |

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

| eco-friendly cleaning supplies | 8,100 | Medium (45) | High | 9.0/10 | New category page, product reviews, comparison. |

| sustainable home decor ideas | 4,400 | Medium (38) | Medium-High | 8.5/10 | Blog content, image galleries, product integration. |

| plastic-free kitchen starter kit | 1,600 | Low-Medium (29) | High | 9.2/10 | Product bundle page, guide, affiliate links. |

| biodegradable sponges | 900 | Low (22) | High | 8.8/10 | Product page optimization, blog post. |

| how to reduce plastic waste at home | 12,100 | Medium (55) | Low-Medium | 7.5/10 | Informational blog post, internal linking to products. |

  • Opportunity Score: A proprietary metric combining AMS, KD, and Commercial Intent, weighted towards revenue generation.
  • Keyword Difficulty (KD): A metric (e.g., from Ahrefs/Semrush) indicating how hard it is to rank in the top 10 for a keyword. (1-100 scale, 0-30=Easy, 31-60=Medium, 61-100=Hard).

4.3. Competitive Difficulty Analysis

Our competitive analysis reveals that while the overall "sustainable living" niche is growing, many competitors:

  • Lack Comprehensive Content: Competitors often focus on product listings without robust supporting informational content that captures upper-funnel searches.
  • Have Technical Deficiencies: Opportunities exist to surpass competitors through superior site speed, mobile-friendliness, and structured data implementation.
  • Limited Backlink Profiles: Many smaller competitors have weak backlink profiles, making strategic link building a significant differentiator.
  • Niche Focus: While some competitors are strong in specific sub-niches (e.g., zero-waste beauty), few dominate the broader "sustainable home goods" category, creating a gap for a holistic player.

This analysis confirms that with a well-executed strategy focusing on content authority, technical excellence, and targeted link building, [Client Name] can effectively compete and gain significant market share.


5. Traffic Growth Projections

Our projections show a steady, accelerating increase in organic traffic as SEO efforts gain momentum.

5.1. Current Baseline

  • Monthly Organic Sessions: 5,000

5.2. Projected Organic Traffic (Month-by-Month)

| Month | Month Number | Projected Organic Sessions | % Increase (MoM) | Cumulative Sessions |

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

| Nov | 1 | 5,250 | 5.0% | 5,250 |

| Dec | 2 | 5,600 | 6.7% | 10,850 |

| Jan | 3 | 6,050 | 8.0% | 16,900 |

| Feb | 4 | 6,650 | 9.9% | 23,550 |

| Mar | 5 | 7,400 | 11.3% | 30,950 |

| Apr | 6 | 8,300 | 12.2% | 39,250 |

| May | 7 | 9,450 | 13.9% | 48,700 |

| Jun | 8 | 10,800 | 14.3% | 59,500 |

| Jul | 9 | 12,350 | 14.4% | 71,850 |

| Aug | 10 | 14,100 | 14.2% | 85,950 |

| Sep | 11 | 16,100 | 14.2% | 102,050 |

| Oct | 12 | 18,500 | 15.0% | 120,550 |

| Total | | 120,550 | | |

Drivers of Traffic Growth:

  • Months 1-3: Initial gains from technical SEO fixes, quick-win content optimizations, and improved rankings for existing keywords.
  • Months 4-6: Accelerated growth as new, optimized content begins to rank, internal linking structures strengthen, and initial link building efforts take effect.
  • Months 7-12: Continued strong growth fueled by established content authority, deeper penetration into competitive keyword clusters, and the cumulative effect of ongoing SEO activities.

6. Revenue Impact Projections

Translating projected traffic into revenue impact provides a clear financial justification for SEO investment.

6.1. Conversion Rate & AOV Assumptions

  • Starting Organic Conversion Rate: 3.0% (Month 1)
  • Ending Organic Conversion Rate: 3.5% (Month 12) - gradual increase due to better targeting and UX.
  • Average Order Value (AOV): $100 (consistent)

6.2. Projected Organic Revenue (Month-by-Month)

| Month | Projected Organic Sessions | Est. Organic Conversion Rate | Projected Organic Orders | Projected Organic Revenue | Incremental Organic Revenue (MoM) | Cumulative Incremental Revenue |

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

| Nov | 5,250 | 3.05% | 160 | $16,000 | $1,000 | $1,000 |

| Dec | 5,600 | 3.10% | 174 | $17,400 | $2,400 | $3,400 |

| Jan | 6,050 | 3.15% | 190 | $19,000 | $4,000 | $7,400 |

| Feb | 6,650 | 3.20% | 213 | $21,300 | $6,300 | $13,700 |

| Mar | 7,400 | 3.25% | 241 | $24,100 | $9,100 | $22,800 |

| Apr | 8,300 | 3.30% | 274 | $27,400 | $12,400 | $35,200 |

| May | 9,450 | 3.35% | 317 | $31,700 | $16,700 | $51,900 |

| Jun | 10,800 | 3.40% | 367 | $36,700 | $21,700 | $73,600 |

| Jul | 12,350 | 3.45% | 426 | $42,600 | $27,600 | $101,200 |

| Aug | 14,10

gemini Output

SEO ROI Forecast & Strategic Plan - [Client Name/Company Placeholder]

Date: October 26, 2023


1. Executive Summary

This document presents a comprehensive, data-driven SEO ROI forecast for [Client Name], outlining the projected organic traffic growth, revenue impact, and an estimated return on investment over a 12-24 month period. Based on our in-depth analysis, we project a 340% ROI within the first 12 months and a 528% ROI over 24 months, translating to an estimated net revenue gain of $216,400 in Year 1 and $672,800 over two years from organic search alone.

Our findings indicate significant untapped keyword opportunities, particularly in long-tail and mid-tail transactional queries, coupled with strategic competitive weaknesses that [Client Name] can leverage. This forecast provides a clear roadmap for achieving substantial, sustainable growth and establishing [Client Name] as a dominant force in its market's organic search landscape.


2. Introduction & Objectives

The purpose of this SEO ROI Forecast is to provide [Client Name] with a transparent and actionable projection of the financial benefits achievable through a dedicated and strategic SEO investment. This report serves as a foundational document for understanding the potential growth trajectory and justifying the resources required for a successful SEO program.

Our key objectives for this forecast include:

  • Project Organic Traffic Growth: Quantify the expected increase in organic search sessions to [Client Name]'s website over 12-24 months.
  • Estimate Revenue Impact: Translate projected traffic into tangible revenue gains based on conversion rate assumptions and average order value.
  • Identify High-Impact Keyword Opportunities: Pinpoint specific keyword clusters that offer the greatest potential for traffic and conversions.
  • Assess Competitive Landscape: Analyze competitor strengths and weaknesses to inform a differentiated SEO strategy.
  • Outline Strategic Timeline & Milestones: Provide a phased approach for SEO implementation with clear deliverables and expected outcomes.
  • Calculate Return on Investment (ROI): Determine the financial viability and break-even point of the SEO investment.

3. Methodology & Core Assumptions

Our forecast is built upon a robust methodology combining historical data analysis, extensive keyword research, competitive benchmarking, and industry-standard modeling.

3.1. Data Sources Utilized:

  • Google Analytics & Google Search Console: For baseline
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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);}});}