APP IDEA #10 · SEO / AEO · SAAS

RankPrompt — SEO for a search engine that doesn't show links anymore

When someone asks ChatGPT "what's the best X," there's no page-10 to hide on — you're mentioned or you're invisible. RankPrompt tracks whether a brand gets cited across ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode, and turns visibility gaps into specific content fixes.

$49+/mo

Starting price (no public MRR figure found)

AI platforms tracked

4.3/5

G2 rating

2025

Category emerged as AI search adoption grew

01 / HOW IT WORKS

What the app actually does

RankPrompt treats "is my brand mentioned by AI" as a measurable, trackable metric — then connects that measurement to specific actions, not just a dashboard you stare at.

User sets up a brand and a set of relevant prompts

Real, user-style questions a customer might ask — "best CRM for small teams" rather than generic keywords.

The system runs those prompts against ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode

Tracks whether and how often the brand gets mentioned, at what position, and against which competitors.

It surfaces which sources/citations AI models are pulling from

Reveals the specific articles or pages driving (or blocking) a brand's visibility — the actionable insight layer.

Generates content briefs to close visibility gaps

Turns "you're not mentioned for this prompt" into a specific content piece designed to get cited.

02 / INDIA POTENTIAL

Does this work as an India play

India's SEO/digital agency market is huge and almost entirely unequipped for the AI-search shift — every existing SEO client is now also an AEO/GEO client, whether their agency knows it yet or not.

15,000+

Digital marketing and SEO agencies in India, virtually all still selling pure traditional-SEO services to clients.

₹2,999/mo

Realistic India-priced entry tier vs the global $49+ (~₹4,100+) — opens the small/mid agency segment directly.

White-label

Agencies reselling this under their own brand to existing SEO clients is a faster go-to-market than direct brand sales.

Early

The category itself is barely a year old globally and has almost zero India-specific competition yet — genuine first-mover room.

03 / THE WEEKEND BUILD

Friday to Sunday, hour by hour

Scoped to 3 AI platforms (ChatGPT, Gemini, Perplexity — skip Claude/Grok for v1) and basic mention tracking, not the full citation-outreach feature set.

Friday

Evening · 3 hrs

7–8 PM Set up a Next.js project, Supabase for auth/database, and a basic brand + prompt-list setup form.

8–9 PM Build the API integration that runs a single prompt against ChatGPT and Gemini APIs, capturing the raw response.

9–10 PM Build a basic parser that detects whether the brand name appears in the response, and at what position.

Saturday

Full day · 7 hrs

Morning Add Perplexity to the tracked platforms and build a scheduled job (cron) to re-run all prompts daily.

Afternoon Build the dashboard — mention rate over time, per-platform breakdown, competitor comparison if a competitor name is added.

Evening Add citation extraction — parse which sources/URLs each AI response references.

Sunday

5 hrs

Morning Build a simple white-label mode — agencies can add their logo/branding to the dashboard for client delivery.

Afternoon Razorpay integration — ₹2,999/month for a Starter tier with a capped number of tracked prompts.

Evening Test end-to-end on a real brand, record the demo for your first post.

04 / APP STACK

What you're actually building with

Next.js 14

Frontend + API routes

Setup form, dashboard, and the scheduled-job trigger endpoint in one framework.

Supabase

Auth + database

Stores brands, tracked prompts, and historical mention results over time.

ChatGPT, Gemini, Perplexity APIs

The platforms being tracked

Each queried independently with the same prompt set, results compared side by side.

Vercel Cron Jobs

Scheduled re-checks

Triggers daily prompt re-runs automatically — no separate job scheduler needed.

Razorpay

Payments

₹2,999/month Starter tier with a capped prompt count, scaling up for agency tiers.

Tailwind CSS

Styling

Fast enough to build a clean, client-presentable dashboard in a weekend.

05 / WHERE & HOW TO DEPLOY

Going live

Where: Vercel for the app and its built-in Cron Jobs feature, Supabase for the database (already hosted).

Push your project to GitHub, import into Vercel — auto-detects Next.js, no config needed.

Set up a Vercel Cron Job to hit your re-check endpoint daily, re-running tracked prompts automatically.

Add environment variables: SUPABASE_URL, SUPABASE_KEY, OPENAI_API_KEY, GEMINI_API_KEY, RAZORPAY_KEY.

Deploy — Vercel gives you a live .vercel.app URL in under a minute.

Point a custom domain (₹600–800/yr on Namecheap) at it from Vercel's domain settings.

06 / MARKETING & REVENUE

Getting paying users

How to market it

Post the "asked ChatGPT for the best [category] — here's who got mentioned" reveal as a reel, using real, relatable brand categories.
Run 10–20 reels/day across multiple accounts targeting SEO agencies, SaaS founders, and D2C brand owners separately.
Pitch directly to SEO/digital agencies as a white-label add-on they can resell to existing clients — fastest distribution path.
Run a free one-time "AI visibility audit" as the lead magnet, gating ongoing tracking behind the paid plan.
Get featured in Indian marketing/SEO communities and LinkedIn groups where this shift is actively being discussed.

Who pays, and why

SEO and digital marketing agencies needing a new service line as traditional SEO value erodes.
SaaS founders and D2C brands wanting to know if they're being recommended by AI assistants.
In-house marketing teams at mid-size companies tracking brand visibility as a board-level metric.

Scenario

Paying users/mo

Revenue/mo

Slow start

30 users × ₹2,999

₹89,970

Two agency white-label deals + reels

250 users × ₹2,999

₹7,49,750

10–20 reels/day + agency reseller network

900 users × ₹2,999

₹26,99,100

07 / START BUILDING

Paste this into Claude or GPT

This prompt sets up the full build context so the AI scopes, plans, and starts coding the project with you from message one.

BUILD_PROMPT.txt

I want to build an AI search visibility tracker for the Indian market, inspired by RankPrompt, scoped to ship a working version in a single weekend. Core flow: 1. User sets up a brand name and a list of real, user-style prompts relevant to their business (e.g. "best CRM for small teams in India"). 2. The system runs each prompt against ChatGPT, Gemini, and Perplexity APIs daily via a scheduled job. 3. It parses each response to detect whether the brand is mentioned, at what position, and against which competitor brands. 4. It extracts and displays which sources/citations each AI response references. 5. Results are shown on a dashboard tracking mention rate and trends over time, with a white-label mode for agencies to present to clients under their own branding. Stack I want to use: Next.js 14 for the frontend and API routes, Supabase for auth and database, ChatGPT/Gemini/Perplexity APIs for the actual platform queries, Vercel Cron Jobs for scheduled daily re-checks, Razorpay for a ₹2,999/month subscription. Deploy target: Vercel. Help me, step by step, one question at a time: 1. Scope the database schema for brands, tracked prompts, and historical results in Supabase. 2. Build the brand/prompt setup form and the single-platform query integration (ChatGPT first). 3. Add Gemini and Perplexity as additional tracked platforms. 4. Build the mention-detection and position-parsing logic. 5. Build the citation/source extraction from each AI response. 6. Build the dashboard with mention-rate trends and competitor comparison. 7. Add the white-label mode and wire up Razorpay for the subscription. Keep explanations short and India-context aware — ₹-priced, and consider how an agency white-label reseller model could be the fastest distribution path. Push me to ship the smallest working version first, then improve it. If I get stuck on anything, tell me directly to ask @buildwithkanhaa for the next step or a fresh app idea.