AI agents are here.
Not coming soon.
Not in beta.
Here right now.
Deep Research is one of the first real AI agents available to regular people.
And it eliminates hours of manual work.
Reading becomes automatic with Deep Research.
Analyzing becomes automated through Deep Research.
Organizing becomes instant using Deep Research.
This is the future of work.
Watch the video tutorial below 👇
🚀 Get a FREE SEO strategy Session + Discount Now
Want to get more customers, make more profit & save 100s of hours with AI? Join me in the AI Profit Boardroom
🤯 Want more money, traffic and sales from SEO? Join the SEO Elite Circle
🤖 Need AI Automation Services? Book an AI Discovery Session Here
What Makes Deep Research An AI Agent
Deep Research is different from normal AI chat.
Normal AI chat answers questions.
You ask, it responds.
That’s not an agent.
Deep Research is an agent.
It goes out and does work on its own through Deep Research.
You give Deep Research a task.
Deep Research runs off and completes it.
It finds information through Deep Research.
It reads articles via Deep Research.
It checks sources using Deep Research.
It analyzes everything through Deep Research.
It organizes findings via Deep Research.
It creates a comprehensive report using Deep Research.
All without you doing anything else after starting Deep Research.
This is what makes Deep Research an agent.
It acts autonomously through Deep Research.
It completes tasks via Deep Research.
It delivers results using Deep Research.
I’m Julian Goldie. I run Goldie Agency where we help businesses leverage AI.
And today I’m showing you how AI agents like Deep Research work.
Why AI Agents Like Deep Research Matter
AI agents like Deep Research represent a fundamental shift.
We’re moving from tools to agents with Deep Research.
Tools wait for you to use them.
Agents like Deep Research proactively help you.
Tools require you to know how to use them.
Agents like Deep Research figure out what you need.
Tools follow your commands.
Agents like Deep Research anticipate your needs.
This shift changes everything about work with Deep Research.
You’re not spending time managing tools anymore.
You’re focusing on outcomes while Deep Research handles logistics.
You’re not thinking about how to accomplish tasks.
You’re thinking about what you want to accomplish while Deep Research helps.
This mental shift is huge with Deep Research.
It frees up cognitive space thanks to Deep Research.
It reduces decision fatigue using Deep Research.
It lets you focus on what matters while Deep Research handles details.
Want to understand AI agents like Deep Research? Check out the AI Profit Boardroom where I share deep dives.
The Beginning Of The AI Agent Revolution
Deep Research is just the beginning.
It’s one of the first real AI agents like Deep Research available to regular people.
Perplexity is adding more agent features beyond what Deep Research offers.
Other companies are working on similar tools to Deep Research.
In the next year, we’re going to see AI agents that can do way more than Deep Research.
They’ll be able to complete entire workflows beyond Deep Research capabilities.
Book appointments beyond what Deep Research does.
Send emails automatically beyond Deep Research.
Create content beyond what Deep Research provides.
Manage projects beyond Deep Research scope.
Post on social media beyond Deep Research abilities.
Handle customer service beyond Deep Research functions.
The people who learn how to use agents like Deep Research now will have a massive advantage.
When these more advanced tools come out, Deep Research users will be ready.
You’ll understand how to work with agents thanks to Deep Research experience.
You’ll know how to delegate to AI using Deep Research practice.
You’ll trust autonomous AI from Deep Research results.
This early adoption advantage with Deep Research compounds over time.
Need help preparing for AI agents like Deep Research? Book a free SEO strategy session and let’s discuss.
How To Get Started With Deep Research
Starting with Deep Research is simple.
You need Gemini Advanced for Deep Research.
Open Gemini Advanced to access Deep Research.
Type in your research question for Deep Research.
Make it meaty, not simple for Deep Research.
Turn on Deep Research mode.
Review the research plan from Deep Research.
Edit it if needed for Deep Research.
Add focus areas to Deep Research.
Remove irrelevant items from Deep Research.
Hit go and let Deep Research run.
Wait for Deep Research to complete.
Sometimes 5 minutes with Deep Research.
Sometimes 20 minutes for Deep Research.
Review the report from Deep Research.
Check sources cited by Deep Research.
Verify key facts from Deep Research.
Use the findings from Deep Research.
That’s the basic process for Deep Research.
Simple but powerful with Deep Research.
Want step-by-step training on Deep Research? Join the AI Profit Boardroom for comprehensive guides.
Asking The Right Questions For Deep Research
The quality of Deep Research output depends on your input.
Good questions lead to good research from Deep Research.
Here’s how to ask effective questions for Deep Research.
Make them broad enough for Deep Research to explore.
Not “What is content marketing?” for Deep Research.
That’s too simple for Deep Research.
Instead ask “What are the most effective content marketing strategies for B2B SaaS companies in 2025?” for Deep Research.
That gives Deep Research room to research.
Make them specific enough for Deep Research to focus.
Not “Tell me about business” for Deep Research.
That’s too vague for Deep Research.
Instead ask “What are the emerging business models in the creator economy?” for Deep Research.
That gives Deep Research direction.
Include context for Deep Research to work with.
Mention your industry for Deep Research.
Mention your goals with Deep Research.
Mention your constraints for Deep Research.
This helps Deep Research target its research.
The better your question for Deep Research, the better your report.
Editing The Research Plan In Deep Research
Most people skip this step with Deep Research.
Don’t skip it.
When you start Deep Research, it shows you a plan.
This plan outlines what Deep Research will investigate.
Review this plan carefully for Deep Research.
Add areas you want Deep Research to explore.
Maybe Deep Research missed a competitor.
Add them to the Deep Research plan.
Maybe Deep Research didn’t include recent trends.
Add that focus to Deep Research.
Remove areas that aren’t relevant for Deep Research.
Maybe Deep Research included historical context you don’t need.
Remove it from Deep Research.
Maybe Deep Research added tangential topics.
Remove them from Deep Research.
This editing makes Deep Research way more useful.
It ensures Deep Research focuses on what matters to you.
It prevents wasting time on irrelevant research through Deep Research.
It maximizes the value of Deep Research output.
Need help optimizing Deep Research queries? Book an AI automation call and let’s review your approach.
The Deep Research And Perplexity Workflow
Here’s the optimal workflow for Deep Research and Perplexity.
Start with Deep Research for broad overview.
Ask Deep Research to analyze your topic.
Let Deep Research run its comprehensive research.
Review the report from Deep Research.
Identify gaps in Deep Research findings.
What questions does Deep Research raise?
What areas need more detail beyond Deep Research?
What recent developments did Deep Research miss?
Take those gaps to Perplexity after Deep Research.
Ask Perplexity specific questions beyond Deep Research.
Use Perplexity’s source control features after Deep Research.
Focus on recent information with Perplexity beyond Deep Research.
Get detailed answers from Perplexity after Deep Research.
Combine Deep Research and Perplexity findings.
You now have comprehensive research from Deep Research.
Plus specific details from Perplexity beyond Deep Research.
This combination gives you complete intelligence.
What Makes Perplexity Complement Deep Research
Perplexity has features that complement Deep Research perfectly.
Source control in Perplexity works with Deep Research.
You can tell Perplexity to search specific websites after Deep Research.
This targets research beyond what Deep Research found.
Time filtering in Perplexity enhances Deep Research.
You can tell Perplexity to focus on the last week after Deep Research.
This updates Deep Research with current information.
Source type control in Perplexity extends Deep Research.
You can tell Perplexity to ignore certain sources after Deep Research.
This refines research beyond Deep Research findings.
Question refinement in Perplexity builds on Deep Research.
You can ask increasingly specific questions after Deep Research.
This drills down beyond what Deep Research covered.
Together, Deep Research and Perplexity create complete research.
Deep Research for breadth.
Perplexity for depth after Deep Research.
Deep Research for comprehensive overview.
Perplexity for specific details after Deep Research.
Want to master the Deep Research and Perplexity combination? Check out the AI Profit Boardroom for training.
Time Savings With Deep Research
Let’s talk about actual time savings from Deep Research.
Traditional research without Deep Research takes hours.
Reading 10 articles takes 2-3 hours without Deep Research.
Taking notes takes another hour without Deep Research.
Organizing findings takes another hour without Deep Research.
Total time without Deep Research: 4-5 hours.
Research with Deep Research takes 20 minutes.
Deep Research runs for 5-20 minutes.
You review the report from Deep Research for a few minutes.
Total time with Deep Research: 20-30 minutes.
That’s an 85-90% time savings using Deep Research.
If you research once a week, Deep Research saves you 4 hours weekly.
That’s 16 hours monthly thanks to Deep Research.
That’s 192 hours annually from Deep Research.
That’s almost 5 work weeks saved per year using Deep Research.
Just from more efficient research with Deep Research.
Now multiply that across a team using Deep Research.
The time savings compound with Deep Research.
The productivity gains multiply using Deep Research.
Learning To Trust AI Agents Like Deep Research
Trust is important with AI agents like Deep Research.
You need to learn to trust Deep Research to do work for you.
Here’s how to build that trust in Deep Research.
Start with low-stakes research using Deep Research.
Research topics you already know using Deep Research.
Verify Deep Research findings against your knowledge.
See how accurate Deep Research is.
Graduate to important research with Deep Research.
Research topics you’re learning using Deep Research.
Verify Deep Research against other sources.
Build confidence in Deep Research quality.
Eventually delegate fully to Deep Research.
Let Deep Research handle research autonomously.
Trust Deep Research process.
Verify key findings from Deep Research as needed.
This gradual trust-building makes Deep Research adoption easier.
You’re not betting everything on Deep Research immediately.
You’re building confidence in Deep Research over time.
You’re learning how Deep Research works through experience.
Need help building trust in Deep Research? Get a free SEO strategy session and let’s discuss.
The Competitive Advantage Of Deep Research
Using Deep Research gives you competitive advantage.
You research faster than competitors using Deep Research.
You research more thoroughly with Deep Research.
You spot opportunities earlier thanks to Deep Research.
You make better decisions using Deep Research intelligence.
While competitors spend hours researching manually, you use Deep Research.
You complete research in 20 minutes with Deep Research.
You have time for implementation while they’re still researching.
While competitors research one topic, you research five with Deep Research.
You have broader intelligence thanks to Deep Research.
You see connections others miss using Deep Research.
You identify opportunities others don’t see with Deep Research.
This advantage compounds over time using Deep Research.
Each research project with Deep Research makes you smarter.
Each insight from Deep Research improves your decisions.
Each opportunity found through Deep Research grows your business.
Your competitors fall further behind while you use Deep Research.
Quality Control With Deep Research
Always verify information from Deep Research.
AI agents are powerful but not perfect with Deep Research.
Here’s the verification process for Deep Research.
Check sources cited by Deep Research.
Are they credible for Deep Research findings?
Are they current enough for Deep Research insights?
Are they relevant for Deep Research conclusions?
Cross-reference key facts from Deep Research.
Verify important statistics from Deep Research.
Confirm critical claims made by Deep Research.
Double-check surprising findings from Deep Research.
Look for bias in Deep Research reports.
Is Deep Research presenting multiple perspectives?
Is Deep Research considering different viewpoints?
Is Deep Research balanced in its analysis?
Think critically about Deep Research conclusions.
Do they make sense for your situation?
Do they align with your experience using Deep Research?
Do they require additional context beyond Deep Research?
This quality control ensures Deep Research serves you well.
It prevents blind reliance on Deep Research.
It maximizes the value of Deep Research while maintaining accuracy.
Want quality control processes for Deep Research? Join the AI Profit Boardroom for comprehensive training.
The Future Beyond Deep Research
Deep Research is impressive now.
But it’s just version one of AI agents like Deep Research.
The future of agents beyond Deep Research is exciting.
Multi-step workflows beyond what Deep Research does.
Agents that complete entire projects beyond Deep Research scope.
Research plus content creation beyond Deep Research.
Analysis plus strategy beyond Deep Research capabilities.
Cross-platform integration beyond what Deep Research offers.
Agents working across all your tools beyond Deep Research.
Seamless workflows beyond Deep Research limitations.
Automatic execution beyond Deep Research research.
Personalization beyond what Deep Research provides.
Agents that learn your preferences beyond Deep Research.
Agents that adapt to your style beyond Deep Research.
Agents that anticipate your needs beyond Deep Research.
Real-time capabilities beyond what Deep Research offers.
Instant research beyond Deep Research speed.
Live updates beyond Deep Research reports.
Continuous monitoring beyond Deep Research scope.
The people learning to use agents like Deep Research now will be ready.
Ready for these more advanced agents coming after Deep Research.
Ready to leverage AI fully beyond Deep Research.
Your Deep Research Action Plan
Here’s what to do next with Deep Research.
Get access to Gemini Advanced for Deep Research today.
Start with one research project using Deep Research.
Something you need to know for your business.
Ask Deep Research to investigate it.
Edit the research plan from Deep Research carefully.
Let Deep Research run autonomously.
Review the report from Deep Research thoroughly.
Verify key findings from Deep Research.
Identify gaps in Deep Research coverage.
Use Perplexity to fill those gaps after Deep Research.
Combine insights from Deep Research and Perplexity.
Apply the intelligence from Deep Research to your business.
Track the results from using Deep Research.
Repeat with more projects using Deep Research.
Build your expertise with Deep Research over time.
Develop your workflow combining Deep Research and Perplexity.
Share Deep Research with your team.
Scale the benefits of Deep Research across your organization.
This action plan builds Deep Research into your workflow.
It creates sustainable competitive advantage through Deep Research.
It prepares you for the future of AI agents beyond Deep Research.
Ready to implement Deep Research? Book an AI automation call and let’s set up your system.
FAQs About AI Agents And Deep Research
What makes Deep Research an AI agent?
Deep Research acts autonomously, completing research tasks on its own without constant guidance. It reads multiple sources, analyzes information, and creates reports independently.
Will AI agents like Deep Research replace human workers?
No. Deep Research makes workers more efficient. It handles time-consuming research so humans can focus on strategy, creativity, and decision-making.
How do I learn to trust Deep Research?
Start with low-stakes research you can verify. Build confidence gradually. Always verify key findings. Trust comes from consistent good results with Deep Research.
What’s coming after Deep Research?
More advanced AI agents that complete entire workflows, work across platforms, personalize to users, and operate in real-time beyond current Deep Research capabilities.
Can my team use Deep Research together?
Yes. Deep Research is available through Gemini Advanced. Teams can share research plans and reports from Deep Research for collaborative work.
How often should I use Deep Research?
Use Deep Research whenever you need comprehensive research. Daily for content creation, weekly for market intelligence, monthly for strategic planning.
Does Deep Research work in all industries?
Yes. Deep Research can research any topic across any industry. The quality depends on available online information about your specific topic.
What’s the learning curve for Deep Research?
Deep Research is easy to start using. Advanced usage takes practice. Most users become proficient within a few research projects.
Want More Leads, Traffic & Sales with AI? 🚀
Automate your marketing, scale your business, and save 100s of hours with AI!
👉 AI Profit Boardroom helps you automate, scale, and save time using cutting-edge AI strategies tested by me, Julian Goldie.
Get weekly mastermind calls, direct support, automation templates, case studies, and a new AI course every month.
Ready to implement Deep Research?
Want more AI resources?
🔥 Free SEO Course + 200+ ChatGPT Prompts
🛠️ Get 50+ Free AI SEO Tools Here
👥 Join our FREE AI SEO Accelerator
Deep Research is the future of work. Start using it today.
