
What Are AI Search Engines?
Welcome back to TheSEOGuy, your ultimate source of digital information and latest SEO tips. AI powered search engines are the part of internet evolution and online search. Majorly all AI search engines are powered by large language models (LLMs), and machine learning (ML). In this blog we will talk about AI Search Engines you must try and some of the key features of AI search engines such as:
- What are AI search engines?
- How to use AI search engines to enhance productivity?
- Are AI search engines going to replace traditional search engines in future?
- What is the future of AI search?
Key Features of AI Search Engines:
- Conversational search (ask follow-up questions like ChatGPT): Users can add follow up questions while doing research to get better outcome and continue the research. It is a great option to collect all information at one place without doing multiple searches.
- Summarized answers (no more clicking through 10 links): You can ask AI search engines to elaborate the answer or summarize the outcome to understand it better. Give them prompt accordingly and understand the context of content you have received.
- Multimodal search (text, voice, image, and even code inputs): Search engines powered by artificial intelligence can come up with multiple outcome at the same time including text, images, videos, code inputs and voice which can save your time.
- Real-time data (some fetch live web results): Some artificial intelligence search engines can come up with real time data to give you accurate results with correct statistics.
- Personalized responses (learns from your queries): All AI Powered search engines learns from your queries and the outcome. It is an additional benefit for you as a user. If you ask questions related to your previous searches, you will receive better response every time.
Top AI Search Engines You Should Try in 2025
Here are the most powerful AI search tools available today:
1. Perplexity AI (perplexity.ai)

- Fact: Processes over 50 million queries per month (as of 2024).
- Unique Feature: Cites sources like Wikipedia, Forbes, and research papers.
- Best For: Researchers, students, and professionals who need accurate answers.
2. You.com (you.com)

- Fact: Backed by AI pioneer Richard Socher, former Chief Scientist at Salesforce.
- Unique Feature: Lets you customize search modes (e.g., “Academic,” “Creative”).
- Best For: Those who want a mix of AI and traditional search.
3. Phind (phind.com)

- Fact: Used by over 1 million developers monthly for coding help.
- Unique Feature: Generates & debugs code in real time.
- Best For: Programmers and tech professionals.
4. Andi Search (andisearch.com)

- Fact: No ads, no tracking—prioritizes privacy.
- Unique Feature: Uses multiple AI models (including its own) for better answers.
- Best For: Privacy-conscious users who hate ads.
5. DeepSeek (deepseek.com)

- Fact: Supports 128K context length—one of the longest in AI search.
- Unique Feature: Excels at long-form research & complex Q&A.
- Best For: Deep research, legal/medical queries, and technical topics.
6. Google’s AI-Powered Search (SGE – Search Generative Experience)

- Fact: Google processes **over 8.5 billion searches per day, and AI will soon power most of them.
- Unique Feature: Blends AI summaries with traditional search results.
- Best For: Users who want AI + Google’s vast index.
Can AI Search Engines Replace Google & Bing?
The Stats Say AI Search is Growing Fast:
- 40% of young users (Gen Z) prefer AI search tools over Google for complex queries (Source: search engine land).
- Perplexity AI’s valuation hit $1B+ in 2024, showing investor confidence.
- Google’s SGE (AI Search) reduces clicks to websites by ~25%, signaling a shift in how people consume info (Source: BrightEdge Study).
✅ Why AI Search Could Win:
- Faster answers (no need to skim multiple pages).
- Better for research & learning (summarizes key points).
- More engaging (conversational, like chatting with an expert).
❌ Why Google/Bing Still Dominate:
- Better for local searches (restaurants, shopping, maps).
- More reliable for real-time data (sports scores, stock prices).
- Established ad-based model (AI search engines struggle with monetization).
Verdict: AI search won’t kill Google soon, but it’s stealing its most valuable users—researchers, professionals, and power searchers.
How to Use AI Search Engines to Improve Productivity
1. Instant Research & Learning
- Fact: AI search can reduce research time by 70% by summarizing key points. (Source: MIT Study 2023)
- Example: “Compare the economic policies of Japan and Germany in bullet points.”
2. Writing & Content Creation
- Fact: 55% of bloggers use AI tools for ideation and drafting (Source: HubSpot 2024).
- Example: *”Give me a 500-word draft on the future of AI in healthcare.”*
3. Coding & Debugging
- Fact: Phind answers coding questions 3x faster than Stack Overflow.
- Example: “How do I optimize this Python loop for speed?”
4. Business & Market Intelligence
- Fact: 67% of startups use AI search for competitor analysis.
- Example: “List the top 5 CRM tools in 2024 with pros and cons.”
5. Personalized Recommendations
- Fact: AI search engines increase discovery of niche tools by 40%.
- Example: “What’s the best free AI tool for video editing?”
The Future of AI Search Engines
- By 2026, 30% of web searches will be AI-driven (Gartner Prediction).
- Voice & image search will dominate—think asking your AI assistant “What’s in this photo?”
- AI agents will search & act autonomously (e.g., booking flights, ordering groceries).
Final Thoughts
AI search engines are rewriting the rules of search, offering smarter, faster, and ad-free alternatives to Google. While they won’t replace traditional search entirely, they’re already changing how knowledge workers, students, and developers find information.
Comment below which AI search engine you are going to try?
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