Organic search hit 110K in September 2025, AlgoTest's highest ever
My KPIs were two numbers: how much money we made and how many users we acquired. Everything below was aimed at one of them.
My role
- Head of Marketing and Content at AlgoTest, a YC-backed algo trading platform.
- I wrote every word we put out: messages, introductions, ad and landing page copy, down to the banner for our March 2025 event.
- Three teammates left in my first month, so I took on their work too, including the webinars.
Vertical 1
Organic growth
Organic search had its best month ever in September 2025: seven days above 100K, peaking at 110K on the 6th. Before I joined, the best day was 61K. Since I left, no day has passed 80K.
What I saw
68.5% of organic traffic came from people searching "AlgoTest". We were only being found by people who already knew us. Growth had to come from the searches traders make before they've heard of us: expiry days, open interest, FII/DII data, reviews of other tools.
The bet: own those searches with blogs, programmatic pages and docs, then turn the traffic into paying users.
Blogs
Non-brand search grew 2.7× from January to September 2025, and 3.4× from its April low. Branded share of organic fell from 68.5% to 49.3% (Jan → Aug).
- I planned the blog around trader searches and turned founder webinars and tweets into articles.
- I wrote every post that went live between Dec 2024 and Jan 2026: 75 in all, except one by the founder.
- #1 for "algo trading" (22.2K searches a month).
See the blogs I wrote75 posts
OptionsImplied vs Realized Volatility: The VRP Edge
OptionsIV Percentile vs IV Rank
OptionsPut-Call Parity for traders
OptionsWhat is Option Selling and How It Works
OptionsTax Loss Harvesting = Options Pricing (Yes, Really)
Algo tradingAlgorithmic Trading with Python
Algo trading5 Reasons Why Your Algo Trading Strategy is Failing
Algo trading9 Steps to Build a Profitable Algo Trading Strategy
Algo tradingChartink automation: Profit Jump by 200%
OpinionWhy You Should Stop Following Telegram Tips
ComparisonAlgoTest vs WayaAll 75 posts, newest first
- 5 Best Algo Trading Courses in India 2026
- List of Brokers with an API in India
- Options Volatility Glossary
- Advanced Position Size & Lot Size Calculator for Trading Edge
- IV vs RV Explained: Implied Volatility, Realized Volatility & Volatility Risk Premium (VRP) Guide
- IVP in Options: IV Rank vs IV Percentile Explained
- Implied Volatility Explained: ATM IV, Interpretation & Calculation
- What is Option Selling? | Learn Options Trading in India with AlgoTest
- Tax Loss Harvesting = Options Pricing (Yes, Really)
- Option Strategy Builder: Build, Test & Optimize Winning Trades with AlgoTest
- What Are Margin Modes on Delta Exchange?
- Learn Algo Trading with a Proven Backtesting Framework
- Algorithmic Trading with Python: Automate Trading Strategies
- How to Not Take Delivery in a Deep ITM Stock Option
- Essential Terms Related to RA Algos by AlgoTest
- AlgoTest vs Smallcase: Backtested Algos or Curated Portfolios?
- AlgoTest vs Teji Mandi: What's the Better Option for Beginner Traders?
- AlgoTest vs Liquide: Which is Better for Retail Investors?
- Is Crypto Legal in India? Let’s Break It Down
- Why You Should Stop Following Telegram Tips NOW!
- Trading API for Stocks & Options
- AlgoTest vs. Waya | SEBI Registered RA Platform That Works in 2026
- AlgoTest vs. Stratzy | Which is Better for SEBI-Registered RAs' Strategies?
- Black Scholes Calculator: What Option Traders Can Learn From It
- What is Virtual Coin Tosser?
- What investors & traders should consider while navigating the markets?
- Building Investor Profiles with Psychology and Economics
- Why Maximum Drawdown Matters in Trading and Risk Management
- Introducing InvestHQ - A Mutual Fund Simulator
- Understanding Strategy Win Rates: What Does 50% Really Mean?
- Difference Between Backtesting, Forward Testing, and Live Execution in RA Algos
- What is RA Algos and how it works on AlgoTest
- 5 Algo Trading Mistakes Retail Traders Make
- Why Your Algo Trading Strategy Is Failing?
- 9 Steps to Build a Profitable Algo Trading Strategy
- Getting Started with Algo Trading in Nifty Futures
- Automate Your “Intraday Sell” Using Chartink and AlgoTest
- Automate Your “52 Week Low” Using Chartink and AlgoTest
- Automate Your “Penny Stocks” Using Chartink and AlgoTest
- Automate Your “Low Debt Companies” Using Chartink and AlgoTest
- Automate Your “Highest Earning Per Share” Using Chartink and AlgoTest
- Automate Your “Stocks Below Book Value - Undervalued” Using Chartink and AlgoTest
- Automate Your “Stock Screener open=high;open=low” Using Chartink and AlgoTest
- Automate Your “Sales Jump by 200%” Using Chartink and AlgoTest
- Automate Your “Mid Cap Stocks” Using Chartink and AlgoTest
- Automate Your “Small Cap Stocks” Using Chartink and AlgoTest
- Daily Straddle Heatmap - 23rd January, 2025
- Daily Straddle Heatmap - 16th January, 2025
- Automate Your “Potential Breakouts” Using Chartink and AlgoTest
- Automate Your “Large Cap Stocks” Using Chartink and AlgoTest
- Automate Your “Profit Jump by 200%” Using Chartink and AlgoTest
- Automate Your “Bullish Engulf” Using Chartink and AlgoTest
- Morning Star Pattern: How to Find and Automate It with Chartink and AlgoTest
- Automate Your “Buy Entry Intraday” Using Chartink and AlgoTest
- Automate Your “N7 Current Day” Using Chartink and AlgoTest
- Automate Your “PERFECT SELL (SHORT)” Using Chartink and AlgoTest
- Automate Your “Strong Stocks” Strategy Using Chartink and AlgoTest
- Automate Your “Boss Scanner For BTST” Strategy Using Chartink and AlgoTest
- Daily Straddle Heatmap - 15th January, 2025
- Daily Straddle Heatmap - 14th January, 2025
- Daily Straddle Heatmap - 13th January, 2025
- Daily Straddle Heatmap - 10th January, 2025
- Daily Straddle Heatmap - 9th January, 2025
- Daily Straddle Heatmap - 8th January, 2025
- Daily Straddle Heatmap - 7th January, 2025
- Daily Straddle Heatmap - 6th January, 2025
- Daily Straddle Heatmap - 3rd January, 2025
- Daily Straddle Heatmap - 2nd January, 2025
- Daily Straddle Heatmap - 1st January, 2025
- Daily Straddle Heatmap - 31st December, 2024
- Daily Straddle Heatmap - 30th December, 2024
- Daily Straddle Heatmap - 26th December, 2024
- Daily Straddle Heatmap - 23rd December, 2024
- Daily Straddle Heatmap - 20th December, 2024
- Daily Straddle Heatmap - 19th December, 2024
| Post | Search | Searches a month | Rank, Oct 2026 |
|---|---|---|---|
| FII DII data | "fii dii data" | 673K | #16 |
| Neostox review and alternatives | "neostox" | 90.5K | #7 |
| OI spurts | "oi spurts" | 27.1K | #8 |
| Nifty expiry day | "nifty expiry day" | 18.1K | #8 |
| Best virtual trading apps | "trading app without investment" | 4.4K | #2 |
Programmatic SEO
I led the SEBI research analyst directory: ~1,500 pages, live in June 2025, #2 for "list of registered sebi ra".
- I owned it end to end: PRD, data and scraping, design, the engineering handoff, content and testing.
- It's one of four programmatic products. Across the site, ranking keywords grew 2,028 → 3,650, and keywords in the top 3 went from 51 to 87.
| Pages | What they rank for | Organic traffic |
|---|---|---|
| Option chains (10 pages) | "ntpc option chain" #3, "reliance option chain" #9, "sensex option chain" #14 (74K searches). The BEL page reached #1 for "bel share price nse" (40.5K) | ~1,092 visits a month, Oct 2026 |
| Research analyst directory (~1,500 pages) | "list of registered sebi ra" #2, plus analyst and firm names | 1–2K visits a month |
| Fund comparisons on investHQ (218 pages) | "sensex mid cap" #2, 168 keywords in all | ~67 visits a month. Untouched since I left |
Docs
docs.algotest.in ranks for 283 keywords, 49 in the top 3 and 22 at #1. Nine months after I left, it still brings ~9.1K visits a month, worth ~$4.3K a month in ad spend.
- Every feature launch and new broker integration got its own docs page. I wrote every page that went live from Dec 2024 to Jan 2026 and reworked the older ones.
- #1shoonya60.5K
- #3upstox246K
- #2dhan web74K
- #1choice broking6.6K
- #1bigul5.4K
- #1mastertrust4.4K
- #6straddle chart27.1K
- #1vwap indicator4.4K
Rank and searches a month. Source: Semrush, Oct 2026.
Landing and product pages
I rebuilt the 27 quick-link pages in AlgoTest's footer with a new design and more information, and wrote three from scratch.
- Wrote from scratch: Crypto Trading (#1 for "crypto algo trading"), Black Scholes and Virtual Coin Tosser.
- What is Algo Trading ranks #4 for its own search and #8 for "algo trading" (18.1K). Paper Trading ranks for 149 keywords.
- Product pages: IVR & IVP and VRP Analysis. Course pages: Algo course.
Fixing what held search back
| Broken | What I did | Result |
|---|---|---|
| FAQ pages had lost their rankings in late 2024 | Rewrote them around real support questions | Rankings came back. Support stopped answering repeat questions |
| 96 docs pages (70%) had broken images, linked from Google Docs, which expire | Redid every setup, took fresh screenshots and uploaded them to the docs CMS | Docs work again, with images that don't expire |
| Only developers could publish to the Webflow blog | Moved the blog to Superblog | Anyone with CMS access can publish |
| A competitor ranked for our brand name | Published five LinkedIn articles on our brand terms | They dropped off our brand searches |
| Few sites linked to us | Got links from broker partners | Backlinks 1,239 → 20,500. Domain rating 34 → 42 |
Social media
YouTube (scripts, descriptions, thumbnails), Instagram (carousels, Reels, Shorts), X, and the founder's LinkedIn. Top post: From 2L loss to managing over 5Cr.
Experiments
| Experiment | What happened |
|---|---|
| Daily Straddle Heatmaps (one month): a data post every trading day, on the blog and AlgoTest's X account | 30–40K views on X, and a lot of conversations with traders |
| Chartink automation guides (one month): 20 guides on automating Chartink scanners with AlgoTest | Little search traffic, so we stopped. The best one still gets ~33 visits a month |
Vertical 2
Partnerships
Partners paid ~₹6L, and one partnership became a new service.
- Led broker partnerships, including Groww. Groww paid ~₹3L for a joint webinar.
- Got our founder invited to Breakfast with Traders, Groww's in-person event, and set up an episode of Groww's Trading Ki Baat podcast with AlgoTest's COO, Chintan Jaggi.
- Two research analysts paid ₹3L for advertising and organic marketing. It became a new service.
Vertical 3
Webinars
Webinars brought in ~₹10L a month, so every week had to go right. I ran them end to end for my first four months, then kept half the work until I left, so they stayed smooth and customers stayed happy.
- Get the word out: decided what went live on ads, put webinar popups on the docs and blog, got the webinar mentioned in YouTube videos, and added it to onboarding.
- Sign-ups and payments: sent reminders, kept payment links live, and wrote landing page copy, working with devs to ship it.
- Onboarding: rewrote the onboarding email sequence, the source of that 30%. Onboarded attendees with the team and managed the communities.
- Tracking: logged every paid user's acquisition channel and first touchpoint.
- Lifecycle: built cohorts for weekly WhatsApp campaigns in WebEngage (I wrote the messages and briefed the designer). Ran email campaigns for retention, and to re-activate churned users by upselling products that fit them.
- Handoffs: made lists for sales to reach out to, and briefed support so they could answer webinar queries.
What didn't work: I built course pages on AlgoTest to cut the back-and-forth with sales. People had too many questions and wanted to talk to someone before paying.
How it connects
- Trader searches
- blogs, programmatic pages and docs
- popups on docs and blog
- webinars (~₹10L a month)
- paid users tracked by first touch
- WhatsApp and email cohorts
- retention and upsells
- sales follow-up
- Back to more content from webinars and founder tweets