by Philip Eliot | Oct 13, 2025 | New Adult Romance |
When a passionate environmental activist and the campus heartbreaker try to be just friends, they fail spectacularly—then become enemies when their worldviews collide.Alex Ford has a plan: ace her Environmental Science degree, win the coveted GSRI internship, and save the planet—one endangered species at a time. She has no time for messy feelings, or dangerously charming guys with jawlines that should come with a warning label.Freddie Donovan is all charm and zero commitment. The flirty science major is exactly the kind of distraction Alex can’t afford—even if he’s her new study partner, her late-night confidant, and the only person who makes her forget the weight of the world.But when one impulsive night turns into something more, Alex starts breaking her own rules. Their connection is electric. Their banter, explosive.But their values? Lightyears apart.She believes in protests…He believes in pragmatism.She wants to dismantle the system…He just wants to survive it.And neither of them is ready for what happens when feelings get involved.Steamy, slow-burn, and emotionally charged, Seeds of Love is an open-door, opposites-attract, friends-to-lovers romance with a hero who falls first and hard.What you’ll love:Environmental activist heroine with serious goalsHero who falls first (and hard)Open-door spice with emotional depthSTEM academia setting with realistic stakesFriends-to-enemies-to-lovers with growth arcsFound family vibes in university settingPerfect for fans of Ali Hazelwood and Elle Kennedy—this is your next binge-worthy campus romance.Start the University of Mountain Springs series today.
by Philip Eliot | Oct 13, 2025 | Thriller & Suspense |
A photographer on the brink of fame. A dictator with a dangerous agenda. A terrifying trap that may be impossible to escape.Margo McAllister is mere hours from her dream. In Italy to compete for a prestigious award, the young photographer turns down a corrupt politician who offers her an insane sum to polish his reputation with a clever portrait. But her plans shatter when she’s slipped a blackout drug, awakens to $40,000 in damages to her hotel room, and is expelled from the contest.Forced to take desperate measures, Margo travels to the despot’s personal estate to earn enough money to cover her debts and get her life back on track. She quickly discovers the remote mountain castle is crawling with secrets and lies, and she fears the oligarch’s increasingly creepy propositions and rough demands leave no way out.As the tension mounts and the stakes get higher, Margo must use all her wit and cunning to survive in a world where betrayal and danger lurk around every corner.If you love the heart-pumping thrills of dark and gritty thrillers like The Girl with the Dragon Tattoo with tough female characters, relentless action, and hints of steam, you won’t be able to put down this twisted adventure!
by Philip Eliot | Oct 12, 2025 | Business, Money & Jobs |
The entire game of book discovery has changed, and almost no one has noticed that AI Optimization is the new norm.
Your book could be brilliant, and the reviews could be glowing. Your Amazon page could be perfectly optimized. Yet when potential readers ask AI assistants for recommendations that describe precisely what your book offers—”a mystery with a heroic female detective who doesn’t need rescuing” or “a crypto book that actually explains how to make a profit”—your book remains invisible while others get recommended. This isn’t a failure of your writing or marketing.
We are living through the most fundamental shift in how readers find books since the invention of the Amazon recommendation engine. Today, millions of readers have stopped browsing bookstore shelves, abandoned Amazon category searches, and given up googling “best books about…”
Instead, they’re having conversations with AI assistants, describing exactly what they want in natural language and receiving personalized recommendations within seconds. The difference between books that are recommended and those that remain invisible has nothing to do with sales rankings, review counts, or keyword optimization. It has everything to do with whether AI systems understand what your book truly offers readers.
Book Discovery reveals how AI assistants like ChatGPT, Claude, Gemini, and others actually decide which books to recommend, pulling from a vast synthesis of discussions across book blogs, Reddit threads, podcast transcripts, and academic citations rather than sales data or marketing copy. More importantly, it shows you exactly how to position your book within these conversations, so it becomes the natural recommendation when readers describe what they’re seeking.
Drawing from analysis of thousands of AI recommendations and successful author strategies, this guide provides both the theoretical framework and a practical 90-day implementation plan for making your book discoverable in an AI-mediated world. Through twenty specific, actionable steps—from creating “anchor facts” that AI systems reference to building collaborative author networks that amplify collective discoverability—you’ll learn how to transform your book from invisible to inevitable when readers ask AI for exactly what you’ve written.
Book Discovery provides a comprehensive 20-step Book Promotion Plan that covers everything from conducting AI visibility audits and developing quotable frameworks to strategic community engagement and authority building. You’ll discover why a thoughtful discussion in a small book blog might matter more than a hundred Amazon reviews, how to create “mention equity” that builds your book’s AI visibility without traditional marketing, and why collaborative strategies with other authors can create rising tides that lift all boats in ways that competitive bestseller-chasing never could.
This book guides you from understanding the fundamental shift in discovery behavior through building your own “discovery architecture,” culminating in a practical action plan you can implement immediately. Each step is designed to work within the real constraints of author life, whether you have three hours a week or thirty to devote to building AI discoverability.
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by Philip Eliot | Oct 12, 2025 | Romantic Suspense |
I had a one-night stand with a stranger.
Now I’m faking a relationship with a mafia billionaire.
Don Vincenzo Moretti, the ruthless Kingpin.
Commands the underworld from New York to Naples.
He’s also my dead lover’s brother.
His brother claimed me for one reckless night.
Then he died—and with him, the truth of who fathered my son.
Vincenzo offers a deal to protect his nephew, the baby I had in secret.
Fake being his lover.
Live under a loyalty to him; I can’t afford to question.
Hide my rightful mafia heir, son, in his gilded cage.
He shields me like I already belong to him.
Watches me like he’s hunting what’s already his.
Touches me like he’s daring me to forget who I am and who I’ve lost.
I try to resist, but start to fall for the man who took his brother’s throne.
That’s the most dangerous mistake of all.
As someone killed his brother to bury the truth.
And if they find out who my son really is?
They’ll finish what they started.
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by Philip Eliot | Oct 12, 2025 | Business, Money & Jobs |
From Overlooked to Overbooked:
The Proven System for Winning Government & Corporate Contracts
Win Big Bids shows you how to turn what you already know into high-value contracts, without chasing clients, grinding harder, or faking it online.
Dr. Alison Etinoff’s Win Big Bids system turned her small business into a seven-figure contract machine. Now she’s showing you how. This isn’t theory. This isn’t fluff. This is the real-world strategy you can use to:
Position like a pro so decision-makers notice you
Pitch with confidence that commands the room
Craft proposals that close high-value contracts
Scale your revenue without selling your soul
Whether you want your first $100K contract or you’re building something that outlives you, this is where it starts.
You don’t need permission. You need a plan. This is it.
This isn’t about hustling harder, it’s about moving smarter.
The biggest contracts aren’t going to people who work the hardest, they’re going to people who know the system.
If you’re ready to compete like you belong (because you do). Get the system. Get the contracts. Build your legacy.
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