I buildSEO that grows.

50% of all organic traffic was branded: people who already knew NeoDove. SMB buyers search by problem, not by brand, so search was barely reaching new customers and could not act as an acquisition channel.

It started with analytical thinking: splitting branded from non-branded, mapping the problems SMB buyers actually search for, and finding where competitors were weak. From there, semantic SEO and topical authority across the telecalling and sales CRM space, a fixed technical and on-page foundation, and programmatic pages at scale, with every decision measured against non-branded growth.

Monthly traffic grew from 11.5K to 137K. Non-branded search went from 50% to 90% of organic.

Prospects were checking reviews before buying, and NeoDove had only 50 across platforms, built up over 3 years, averaging 3.5 stars with some reflecting past service issues. Reviews were quietly losing deals that marketing had already won.

Treated ORM as customer marketing rather than damage control. An internal leaderboard turned review collection into a visible team goal, requests went out across every platform buyers check, and the strongest customer stories were turned into 10 to 15 case studies.

Reviews grew from 50 to 500+ across platforms in 6 months, roughly 60X faster than before, and the average rating rose from 3.5 to 4.8 on every platform.

Buyers were shortlisting HR software inside AI answers, and Keka HR was rarely named. In the US there was almost no AI presence at all.

Mapped query fan-out to see the sub-questions AI engines actually run, then structured content around them with Q&A techniques. Built out the brand's profiles on the sources LLMs trust, ran outreach to get included in listicles and comparison pages, and tracked visibility across engines with dedicated AI search tools.

Over the last 15 months, India AI traffic grew from 700 to 4,200 users a month, bringing 600+ leads, of which 100+ were sales accepted. In 8 months, US AI traffic grew from 36 to 209 users a month, with 10 leads so far. AI citations grew more than 20X.

Keka HR was early in the US. Focus had been on India first, so American buyers had little awareness of the brand and no reason to shortlist it against established US players.

Built both ends of the funnel together. Compliance pages and listicles created awareness and ranked for the questions US HR teams ask, while compare and alternative to pages captured buyers already evaluating software. Each page type was designed to hand readers to the next stage.

US organic traffic doubled from 4,000 to 8,000 a month. That traffic produced 200+ leads and 60+ sales accepted leads, building a pipeline of roughly $500K ARR, with $175K ARR already closed won, all within 8 months. SEO became a revenue channel in the US, not just an awareness play.

Deep healthcare AI expertise, but no search presence in India, the US or the UK. With a niche, senior buyer, generic traffic would have been noise. The consultancy needed to be found by the right few decision makers.

Built the SEO engine from scratch around high intent healthcare AI topics, written for decision makers rather than volume, across all three markets, with every page designed to turn a qualified visit into a conversation.

Relevant traffic grew to 200 visitors a month, converting into 6 to 7 leads monthly. Within 6 months that built a $200K pipeline. Still growing, still counting.

The business was dependent on referrals. Bookings arrived unpredictably, around 10 a month, with no reliable way to plan or grow.

Built a demand system around four parts: SEO and local SEO to be found, performance marketing to scale reach, WhatsApp marketing to follow up fast, and internal tools to manage leads and bookings.

Leads grew 30X, averaging 1,500+, with around 30% converting and the rest building the pipeline. Cost per lead fell from ₹90 to about ₹40, clicks grew from 500 to 1,500 within a year, bookings went from 10 to 40 a month, and yearly revenue grew from ₹40L to ₹1.6Cr within a year.

The agency was not getting enough leads. Demand for Urbania and Tempo Traveller trips existed, but it was not reaching the business.

Combined performance marketing to capture travellers ready to book, SEO to rank for the trips and routes people search for, and WhatsApp marketing to respond fast and confirm bookings.

The agency now generates around 200 leads a month, with 20 to 25 confirmed bookings every month, bringing ₹60L in additional revenue within a year.