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Mumbai, India
Proof of Work

We don’t pitch hypotheticals. We ship systems.

Every engagement listed here is real work, completed and delivered. We’ve anonymized the brand names because our clients didn’t hire us for PR. They hired us to build growth infrastructure. Here’s what that looks like when it’s done.

What the Organic Growth Engine Actually Produces

Before the case snapshots, you should know what we’re talking about when we say “deliverables.” These aren’t decks with recommendations. They’re working systems, diagnostic reports, and data infrastructure that your team can act on the day they receive them.
Diagnostic Reports
35-section HTML reports covering technical SEO, content gaps, keyword positioning, backlink profile, competitor intelligence, and AI visibility. Not a PDF with arrows. A self-contained, interactive document with 200+ data points your team can filter and act on. Average report size: 900KB+ of pure analysis. No stock photos taking up space.
Keyword Intelligence
Full keyword universes. We’re talking 12,000 to 55,000 keywords collected, classified by intent, mapped to competitors, and scored for opportunity. Not a spreadsheet dump. Structured data with category taxonomies, volume tiers, and difficulty ratings your content team can plan against for 12+ months.
AI Visibility Testing
We test your brand’s presence across ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot. 300+ prompts per brand, covering commercial queries, comparison queries, and recommendation queries. You get a citation map showing exactly where AI mentions you, where it mentions your competitors, and where it ignores you entirely.
Competitor Keyword Maps
We pull your top 4-6 competitors’ full keyword profiles and cross-reference them with yours. The output is a gap analysis showing keywords they rank for that you don’t, keywords where you’re within striking distance (positions 11-20), and keywords where you’re losing ground quarter over quarter.
Content Recommendations
Page-level content briefs with 21 sections each. Target keyword, search intent, competitor analysis, content structure, entity requirements, internal linking map, schema markup, and full SVG wireframes showing the recommended page layout. Each brief is a blueprint your writers can execute without guessing.
Pitch Decks and Board Presentations
18-slide interactive HTML decks with speaker notes, keyboard navigation, and data pulled directly from the audit. Built for Digital Heads who need to present findings to their CMO or board. No design agency needed. The deck ships with the audit.

Four Engagements. Four Different Industries. Same Engine.

We can’t name these brands. We can tell you exactly what we built, how deep we went, and what they walked away with.
Financial Services
A Gold Loan NBFC with 250+ Branches
The situation: India’s leading gold loan brand had a website generating traffic but bleeding visibility to competitors on high-intent commercial keywords. Their SEO team was working from gut feel, not data. They had no visibility into what ChatGPT or Gemini said about them when customers asked “best gold loan provider in India.” What we built: A 38-section diagnostic report covering 12,547 of their own keywords and 55,826 competitor keywords across 5 direct competitors. We ran 300 AI prompts across 4 platforms to map their AI citation profile. We batch-tested 88 pages through Lighthouse and crawled their full site architecture. The scope in numbers:
  • 68,373 total keywords analyzed (brand + competitor universe)
  • 300 AI visibility prompts tested across ChatGPT, Gemini, Perplexity, Copilot
  • 88 pages batch-audited for Core Web Vitals and technical health
  • 38 report sections in a 968KB self-contained HTML document
  • 18-slide presentation deck with speaker notes, ready for the boardroom
The entire engagement, from data collection to delivered report and deck, took less than two weeks. Not two months. Two weeks. “When a brand this size has never seen a competitive keyword map of 55,000+ terms, that tells you something about the gap between what agencies promise and what they actually deliver,” says Hardik Shah, Founder of ScaleGrowth.Digital. “We don’t fill that gap with slide decks. We fill it with data.”
Healthcare Diagnostics
A National Diagnostics Chain with 250+ Labs
The situation: A diagnostics company with 250+ labs and annual revenue north of ₹850 crore was getting outranked by smaller competitors on critical search terms. Their digital team knew they had problems but couldn’t quantify them. They needed ammunition for an internal pitch to leadership. What we built: A full SEO and AI visibility audit plus an 18-slide pitch deck. We collected 4,052 of their organic keywords and ran a competitive gap analysis against 5 competitors, producing a combined dataset of 25,163 keywords. We crawled 42 key pages, ran Lighthouse batch testing, and tested AI visibility across all major platforms. The scope in numbers:
  • 25,163 total keywords (organic + gap analysis)
  • 5 direct competitors mapped: market leaders, digital-first challengers, and regional players
  • 42 pages crawled and analyzed for technical health
  • AI visibility tested with commercial and informational prompt sets
  • 38-section report + 18-slide deck delivered as a single package
The pitch deck was specifically designed so their Digital Head could walk into a leadership meeting and present the case for SEO investment without hiring a design firm to make it look good. It already looked good. Because it was built from real data, not stock photography.
Building Materials
An Australian Metal Building Materials Distributor
The situation: A B2B distributor of steel roofing, cladding, and structural materials in Australia was invisible online. Their competitors ranked for every product keyword that mattered. They’d never had a formal SEO audit or content strategy. What we built: A complete SEO audit followed by 56 individual content recommendation reports. Each content rec included a 21-section analysis with target keyword, search intent mapping, competitor content teardowns, entity requirements, and inline SVG wireframes showing exactly how the page should be structured. The scope in numbers:
  • 56 content recommendation reports, each with 21 analytical sections
  • 56 SVG wireframes showing page-level layout and content structure
  • Full keyword research covering product categories, comparison queries, and technical how-to terms
  • Each report: self-contained HTML, interactive, ready for writer handoff
  • Pipeline built with a proprietary system that holds the full context of every keyword, competitor, and technical issue simultaneously
This engagement proved something we’d suspected: the Organic Growth Engine works across geographies. An Australian B2B distributor has different keywords, different competitors, and different user intent than an Indian NBFC. The engine adapts. The process holds.
D2C Food & Beverage
A Quick-Service Restaurant Chain with 199 Stores
The situation: A fast-growing QSR brand with 199 stores across 7+ Indian cities needed to move beyond spreadsheet-based franchise management. They were tracking store performance across multiple systems with no single source of truth. Their operations team was spending hours pulling data that should have been available in seconds. What we built: Not an audit this time. A full command center application. We integrated with their POS system’s API, pulled live store data, and built a web application for real-time reporting, franchise lead management, and operational dashboards. The system connects to their existing POS infrastructure and gives leadership a single screen to see performance across all 199 locations. The scope in numbers:
  • 199 stores connected through live API integration
  • 7+ cities covered across COCO and FOFO franchise models
  • Real-time dashboards for store performance, franchise leads, and operational metrics
  • Role-based access: CEO view, admin view, regional manager view
  • Deployed on cloud infrastructure with production uptime from day one
This project shows the “engineering” in growth engineering. We didn’t just advise them to “improve operational efficiency.” We wrote the software. We connected the APIs. We shipped the product.

The Infrastructure Behind These Results

Every engagement above was powered by the same underlying system. Here’s what’s actually running under the hood.
Full-Context Engine
Purpose-built data collection, analysis, and report generation scripts. Keyword harvesting, competitor mapping, Lighthouse batch testing, AI visibility probing, content scoring, and report assembly. Each script is modular. We add new ones when the analysis demands it.
12,000+ Lines of Code
This isn’t a SaaS tool we licensed. It’s proprietary code we wrote and maintain. Every line exists because a client engagement required it. No bloat, no unused features, no “coming soon” modules.
4 AI Platforms Tested
ChatGPT, Google Gemini, Perplexity, Microsoft Copilot. We test your brand’s citation presence across all four with structured prompt sets covering commercial, informational, and comparison query types. Most agencies test zero.
35+ Report Sections
Technical SEO, content analysis, keyword intelligence, competitor mapping, AI visibility, site architecture, page speed, mobile experience, schema validation, backlink profile, and more. Each section has data, analysis, and specific recommendations. No filler.

How We Work (and How Fast)

Speed matters. Not because we rush, but because the engine automates the parts that shouldn’t take human time. Data collection, report assembly, chart generation, competitive mapping. Those are automated. Human time goes to analysis, strategy, and judgment calls.
Week 1
Data collection starts the day we kick off. Keyword harvesting, competitor identification, technical crawl, Lighthouse batch, AI visibility probes. By end of week one, we have the raw data for 10,000 to 60,000 keywords depending on vertical size.
Week 2
Analysis and report assembly. The engine processes the data and produces structured output. Our team reviews every section, adds strategic commentary, identifies the 5-7 things that will actually move the needle, and builds the presentation deck.
Week 3+
Content recommendations, implementation support, and the first cycle of the growth engine. If you’ve hired us for ongoing work, this is where the system starts compounding. Each cycle feeds data back into the next one. That’s the whole point.

“I’ve spent 15 years watching agencies take 8 weeks to deliver what’s essentially a repackaged Ahrefs export,” says Hardik Shah, Founder of ScaleGrowth.Digital. “We built the engine specifically so that data collection and assembly are measured in hours, not weeks. That frees us to spend time on what actually matters: figuring out what to do with the data.”

Frequently Asked Questions

Can you share the actual client names?
No. Our clients hire us to build growth systems, not to be referenced on our website. We’ll share detailed case studies in a private conversation if you’re evaluating us for a specific engagement. But we won’t put their logos on a carousel.
Are these results guaranteed for my brand?
We don’t guarantee rankings. Anyone who does is lying to you. What we guarantee is the depth of work. You’ll receive the same 35-section diagnostic, the same competitive keyword mapping, the same AI visibility testing. The inputs are consistent. Outcomes depend on your market, your domain authority, and how aggressively you implement.
How is this different from what SEO agencies typically deliver?
Most agencies deliver a PDF audit with screenshots from third-party tools and a list of recommendations. We deliver working data infrastructure. Interactive HTML reports. Structured keyword databases with intent classification. AI citation maps. Content briefs with wireframes. The difference is that our deliverables are systems your team can operate, not documents they’ll read once and file away.
What industries do you work with?
The engine is industry-agnostic. We’ve deployed it for financial services, healthcare, building materials, food and beverage, and ecommerce. The data sources and keyword universes change. The methodology holds. If your business has customers who search for things online (and in 2026, that’s every business), the engine works for you.
What does an engagement cost?
It depends on scope. A diagnostic audit with AI visibility testing starts at a different price point than a 12-month growth engineering retainer with content production. Visit our pricing page for detailed breakdowns, or get in touch and we’ll scope it to your specific needs.

See what the engine produces for your brand

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