Customer Stories | Alignify

Tunee

A music-generator hub that turns every genre into a landing page.

The play

Anchored on a "Music Generator" root, then expanded along multiple taxonomic axes — Genre, Instrument, Mood, Era, Use Case, and Inspired-by. Every sub-page (Afrobeats, Lo-fi, Cinematic…) ships with its own hero, a breakdown of the style's DNA, example prompts, and reference tracks.

Why it matters

As an AI music agent, Tunee doesn't just generate tracks — it understands genre DNA. Every taxonomy page doubles as both an SEO entry point for high-intent searches and an in-context tutorial that primes first-time visitors to hit "generate" with confidence.

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VoiSpark

A large-scale voice directory organised by who you want to sound like.

The play

Built a voice-generator hub as the parent page plus thematic clusters — political leaders, tech & business icons, singers, Hollywood actors, athletes, hosts, cartoon characters, historical figures, and stylistic use cases. Every name and character gets its own indexable sub-page with a generator embedded.

Why it matters

Voice cloning lives or dies on believability. By organising the directory around the exact names and personas users search for, VoiSpark turns abstract "TTS quality" into concrete, searchable proof points. The directory architecture stacks page density and builds a dense internal-link graph at the same time.

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Lessie AI

A profile network that turns every creator into an indexable page.

The play

Stood up a dedicated profile.* subdomain that publishes the platform's creator, client, investor, talent, partner, coach, distributor, and property-leads records as crawlable public pages. Layered on top: per-platform tool pages — fake-follower check, follower count, engagement calculator, audit, pricing calculator, and creator finder.

Why it matters

A people search agent must be discoverable for the exact names and profiles it can find. Every public profile page is a naturally long-tail SEO asset that doubles as a citation source. The embedded tool pages give low-friction entry points that convert searchers into product users.

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Medeo AI

A growing suite of video generators, one for every content format.

The play

Decomposed the red-ocean head term "AI video generator" into a broad set of feature pages, each tied to a specific use case — from evergreen scenarios (Education, Music, Business Report) to trending micro-niches (Mukbang, Brainrot, Sora-2 Animation). Grouped into four pillars: Entertainment & Gaming, Education, Business, and Marketing.

Why it matters

An AI video generation agent thrives when users can articulate exactly what they want to create. Every use case carries its own "I have X, I want it as a video" intent. Instead of one bloated homepage, this long-tail matrix captures trend keywords and steady ones in parallel — expanding keyword footprint at near-zero marginal cost.

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Final Round AI

A company-specific playbook for every elite internship.

The play

On top of the existing interview-AI product, built an internships resource centre. Dozens of top employers (Google, Meta, and peers across tech, finance, and consulting) each get a dedicated guide: reported pay, programme tracks (SWE / STEP / Research / BOLD…), timelines, interview patterns, and one-click entry into the mock interview and resume tools.

Why it matters

AI interview preparation is most valuable when it's tied to a real company and role. Internships are a high-anxiety, high-volume search category that gets searched relentlessly every cycle. Packaging product features as company-specific prep playbooks captures that intent and funnels readers straight into mock-interview activations.

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ThetaWave

A feature hub mapped to every study input and output.

The play

Under a dedicated feature hub, structured the product into multiple layers — Core, Input, and Output. The Input layer covers a wide range of source types (lecture, video, PDF, URL, image, slides, online course, research paper); the Output layer covers notes, flashcards, quizzes, mindmaps, podcasts, and more. Every meaningful pair gets its own landing page.

Why it matters

Student search behaviour is inherently "X to Y" ("PDF to flashcards", "YouTube to notes"). The matrix splits one product SKU into dozens of high-match entry points, each one matching a real workflow — collapsing the path from query to first generation.

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Growth work for real teams

Tunee

VoiSpark

Lessie AI

Medeo AI

Final Round AI

ThetaWave