A strategic execution manual for founders, marketers, and digital teams navigating the shift from classic search engines to LLM-driven discovery. Two Algorithms, One Strategy is not a theoretical book about the future of search. It is a working framework for the present, drawn from the SEO practice at Magicworks and structured for teams that have to make decisions on Monday.
Who this is for
- Founders whose growth depends on being discovered through search
- Marketing leaders at mid-market companies making the AI transition
- SEO practitioners deciding where classical expertise still holds and where it needs to evolve
- Teams building portals and platforms where discovery is the growth engine
What you'll achieve
- Cut through Google's complexity and focus on the 10–15 factors that actually drive rankings
- Future-proof your content for AI-powered search engines that reward credibility and citations over keyword density
- Build a sustainable competitive advantage that compounds over time
- Deliver measurable results within 30–90 days, not 6–12 months
- Create systems your team can execute consistently, without constant supervision
What's inside
- 01The 10 Primary Ranking FactorsThe highest-leverage signals to audit first — each with a priority rating and an expected impact timeline.
- 02Domain-Level SignalsThe foundational trust and geo-targeting signals that shape how everything else you build gets treated.
- 03Technical SEO FundamentalsCrawlability, indexation, Core Web Vitals — the technical floor every page has to clear before anything else matters.
- 04Backlink Strategy & Authority BuildingEarning links that move rankings, disavowing the ones that don't, and telling the two apart.
- 05The 15 LLM Ranking Factors (GEO)How ChatGPT, Perplexity, Claude, and Google AI Overviews decide which sources are worth citing.
- 06Content Strategy for Dual SearchWriting once, for the blue links and the AI answer box, without compromising either.
- 07User Experience & Behavior SignalsThe engagement signals that separate content that ranks from content that actually converts.
- 08The 30-Day Technical Sprint & 90-Day RoadmapA week-by-week execution plan, from first audit to compounding, sustainable growth.
Closing — Conclusion · About the Author · References
Foreword by Mohan Chute
On the illustrations
The book carries hand-drawn illustrations by Vinay Khamkar. They sit alongside the framework diagrams as visual arguments in the text. Not decoration; part of the argument.
Book excerpt
Digital marketing has entered its most transformative era. For two decades, SEO professionals mastered one algorithm—Google's. We learned to optimize for crawlers, build backlinks, improve page speed, and craft content that satisfied both users and ranking systems. The rules were complex but ultimately knowable.
Then, in November 2022, everything shifted. ChatGPT's launch marked the beginning of a new search paradigm. Within months, Perplexity, Claude, Google's AI Overviews, and dozens of other large language models began answering questions directly—not with blue links, but with synthesized responses drawn from multiple sources. Traditional search didn't disappear, but it now shares the stage with generative AI search, and the two operate on fundamentally different principles.
Today's digital marketers face a dual challenge: optimize for Google's 200+ ranking signals while simultaneously ensuring visibility in AI-powered answer engines that prioritize citations, credibility, and consensus over keyword density and backlink counts. This book exists to solve that challenge.
Buy the book
Published April 2026. Paperback and Kindle editions available on Amazon India and Amazon US.