I’m thrilled to announce the public launch of Suggestable.pro—a desktop app built to revolutionize how we discover and leverage keywords through search suggestions. While this is officially v2, it’s the culmination of work that began with internal development back in 2015. For me, this project was undertaken as a COVID programming experiment as I wanted to track peoples searches about the pandemic. That curiosity has turned into something much bigger: a tool that unlocks the most real-time, actionable keyword data available today.

Demo v2.12 Beta

Why Search Suggestions Are the “Keys to the Castle”

Over the years, I’ve explored just about every tool and SaaS cloud platform for keyword research:

• AHREFs, Moz, Keyword Discovery, SemRush—all incredible tools with deep capabilities – the ocean of data they deal with is mind blowing to this programmer. But there’s one most of them can’t show you: What people are searching for right now!

That’s where search suggestions come in.

When you type a word into a search box—whether on Google, Bing, YouTube, DuckDuckGo, or any other platform—you’re seeing what those engines believe is trending and relevant in that exact moment. Search suggestions are powered by:

• Real-time user activity
• Emerging trends
• Fresh topics

We also wanted to support as many valid suggestions services as possible. So we baked in 10 to start and we are experimenting with others – we’ll see how that pans out.

By mining these suggestions, you’re not just uncovering keywords—you’re tapping into what’s hot this minute and discovering insights no other tool can provide. It’s like being handed the keys to the castle for search intent, trending content, and marketing opportunities.

The Story Behind Suggestable.pro

I’ve been in the search and SEO world for 25+ years. Search suggestion mining has always fascinated me, and I realized early on that its power was unmatched. That curiosity turned into action during the early days of the COVID pandemic, when I had time to focus on what became Suggestable.

We started small, but as the tool grew, it took on a life of its own:

• 250 million+ keywords mined during development
• Mapping relationships across keywords to uncover intent and connections
• Building a system that runs faster, deeper, and with more flexibility than anything out there

Why a Desktop App?

Suggestable.pro is built as a desktop application, and for good reason:

1. Speed: It runs faster than cloud-based tools because there’s no waiting on intermediaries.
2. Data Privacy: Everything stays on your machine—your keywords, your data, your work.
3. Cost-Effective: No recurring SaaS fees. A one-time investment saves you money.
4. Real-Time Insights: Pull from multiple suggestion services to see what’s trending now.
5. Broader Service Support: Access search engines, retail sites, and other platforms all in one place.

If you’re a Mac user, Suggestable is so affordable that it’s worth picking up a budget-friendly Windows machine, Windows as a virtual machine, or setting up a small Azure Windows instance to run it.

Even with that cost, you’ll save over most cloud services—and you’ll gain complete control over your data. (note, Mac dedicated app is in the works, but at least it is a year away from release)

• How Mac users can run Suggestable

Who Is Suggestable.pro For?

Whether you’re a site owner, marketer, or SEO professional, Suggestable gives you the tools to:

• Discover hidden trends before your competitors see them.
• Uncover search intent at scale.
• Power your PPC and SEO strategies with real-time data.
• Track brand names, trademarks, and keywords with precision.

If you’ve ever wondered what’s trending today, what people are searching for this very second, or how to find the hottest content topics, this tool was built for you.

The Bottom Line

Search suggestions are the most powerful form of keyword discovery we’ve ever had, and Suggestable.pro makes it easier, faster, and more insightful than ever before. This isn’t just about finding keywords—it’s about unlocking real-time opportunities that drive traffic, revenue, and results.

It’s been an incredible journey to bring Suggestable to life, and I can’t wait for you to experience the power of suggestion mining for yourself.

👉 Try Suggestable.pro today and take the keys to the castle.

1. Keyword Discovery for SEO

What it does: Discover trending and long-tail keywords across search engines and marketplaces.
Example:
A travel blog wants to rank for “beach vacations”.

• Use Seed Mode to get immediate suggestions like:
  • best beach vacations
  • family-friendly beach vacations
  • cheap beach vacations in Florida
• Switch to Predictive Mode to expand with queries like:
  • beach vacations a (affordable)
  • beach vacations b (best for couples)
  • beach vacations c (Caribbean deals)

2. Content Strategy Planning

What it does: Develop content calendars based on search intent and user questions.
Example:
A fitness website is planning content around “home workouts”.

• Use Speculative Mode to find core queries:
  • how to do home workouts
  • what equipment for home workouts
  • home workouts near me
• Content titles could include:
  • The Best Home Workouts for Beginners
  • 5 Essential Pieces of Equipment for Home Workouts

3. E-Commerce Product Optimization

What it does: Discover high-demand product variations and customer search phrases.
Example:
An online store selling sneakers optimizes for customer search.

• Use Custom Mode with modifiers like Nike, Adidas, Under Armour:
  • Nike running shoes for men
  • Adidas running shoes under $50
  • Under Armour lightweight running shoes

4. Brand & Trademark Monitoring

What it does: Track variations and mentions of your brand online.
Example:
A skincare brand, GlowSkin, monitors search suggestions.

• Set up a Tracker for GlowSkin and Glow Skin.
• Get alerted to suggestions like:
  • GlowSkin cream reviews
  • GlowSkin alternatives
  • GlowSkin complaints

5. Competitive Research

What it does: Identify competitors’ most searched products, services, or content.
Example:
A SaaS company wants to analyze Slack’s related search queries.

• Use Seed Mode for Slack:
  • Slack alternatives
  • Slack integrations for teams
• Use Traverse Mode to dig deeper:
  • Microsoft Teams vs Slack
  • Slack vs Discord for business
  • Top free Slack alternatives 2024

6. PPC Campaign Planning

What it does: Generate targeted keyword ideas for pay-per-click campaigns.
Example:
A florist targeting “wedding flowers” for Google Ads.

• Use Suggestable to generate phrases like:
  • affordable wedding flowers
  • wedding flower arrangements near me
  • wedding flowers for small weddings
• Use Keyword Density insights to prioritize high-value terms.

7. Social Media Hashtag Analysis

What it does: Identify trending hashtags and related search terms.
Example:
A fashion brand optimizes hashtags for “fall fashion trends”.

• Use Word Cloud or Bubble Cloud visualizations to find:
  • #fallfashion2024
  • #cozyfalloutfits
  • #fallfashionhaul
• Prioritize high-volume hashtags to boost Instagram engagement.

8. Content Gap Analysis

What it does: Identify unserved or underserved queries to target.
Example:
A food blog identifies content gaps for “chicken recipes”.

• Use Speculative Mode to surface queries like:
  • easy chicken recipes for beginners
  • chicken recipes under 30 minutes
  • healthy chicken recipes for weight loss
• Develop targeted posts that fill these gaps and attract traffic.

9. Localization & Multilingual Marketing

What it does: Research keywords by region and language for global marketing campaigns.
Example:
A business expanding into Spain researches “electric scooters”.

• Set Localization to Spanish (Spain) and search “patinetes eléctricos”.
• Get suggestions like:
  • patinetes eléctricos baratos (cheap electric scooters)
  • mejores patinetes eléctricos 2024 (best electric scooters 2024)
  • patinetes eléctricos opiniones (reviews for electric scooters)

10. Data Visualization for Reporting

What it does: Present keyword research findings visually for clients or teams.
Example:
A digital agency analyzes “best hiking gear” and visualizes findings:

• Tree Maps to show keyword hierarchy:
  • hiking shoes, backpacks, hiking poles
• Radial Spider Trees to map relationships between search terms.
• Tag Clouds to emphasize high-frequency terms like:
  • waterproof boots, lightweight backpacks, trekking gear

When using suggestion software like Suggestable to analyze autocomplete suggestions and keyword data, the approach and benefits can differ significantly depending on whether the focus is on Pay-Per-Click (PPC) campaigns or Search Engine Optimization (SEO). We previously looked at using Suggestable for SEO, so lets flipped the paradigm to the paid side of search and look at PPC usage:

Purpose

• Immediate traffic and conversions: PPC campaigns are typically focused on driving immediate, targeted traffic to landing pages.
• Precise targeting: Suggestions can help refine keyword targeting to ensure ads appear for specific queries with high intent.

Key Benefits

1. High-Intent Keywords: Autocomplete suggestions often reveal keywords with transactional intent (e.g., “buy,” “best,” “discount”), which are ideal for PPC ads.
2. Cost Control: Using long-tail suggestions can result in lower-cost keywords with less competition.
3. Dynamic Ad Creation: Suggestions provide insights into variations and user phrasing, enabling more effective ad copy tailored to user search behavior.
4. Geotargeting Opportunities: Suggestions often include location-specific terms (e.g., “near me”), which are valuable for local PPC campaigns.
5. A/B Testing: Suggestions can be used to generate multiple keyword sets to test ad performance and refine campaigns based on real-world data.

Challenges

• Cost Dependency: High-volume or competitive keywords identified through suggestions may be expensive in PPC. Compare output via search engine utilities that feature cost and keyword volumn.
• Limited Organic Benefits: PPC campaigns based on suggestions do not inherently build long-term SEO authority.