AI Research Tools: The Ultimate Guide to AI Search Tools
Okara is a new platform that bundles multiple search channels (Web, Reddit, YouTube, and X/Twitter) into one secure AI-powered chat.
If you’re a knowledge worker – whether an analyst, marketer, founder, student, or content creator, this guide is like chatting with a tech-savvy friend about their favorite research tools. We’ll compare popular AI research assistants Okara, Perplexity, Scite, and Elicit.
Okara is a new platform that bundles multiple search channels (Web, Reddit, YouTube, and X/Twitter) into one secure AI-powered chat. By the end, you’ll understand where each tool shines, where they fall short, and how Okara’s all-in-one approach can supercharge your research workflow.
Let’s dive in!
Okara: All-in-One, Multi-Channel AI Research Hub

What is Okara?
Okara is a newer, private AI chat platform along with powerful research companion, combining the strengths of many tools in one place. It’s described as “a versatile, privacy-focused AI platform that puts you in control”, letting you interact with a wide range of AI models from a single interface. What makes Okara especially powerful for research is that it integrates multiple search channels – Web, Reddit, X (Twitter), and YouTube – directly into the AI chat.
How Okara bundles search?
In Okara’s chat, you can literally choose where you want to search. Need scholarly info or official data? Use the Web search (which pulls real-time results from the internet, much like Perplexity’s approach).
Curious about community discussions or audience sentiment on a topic? Switch to Reddit search to see what real people are saying in forums. Want the latest buzz or public statements?
Tap into X (Twitter) search for tweets and trends.
Have a topic better explained in video? Use YouTube search and let Okara pull transcripts or summaries from videos.
Multiple AI brains on call
Okara also allows seamless switching between AI models (including GPT-4, Claude, Google’s models like Gemini, etc.) without losing your conversation context. In practice, this means you could draft an answer with one model, then ask a follow-up or request a different style with another model, and the context carries over.
Privacy and security
As a privacy-first AI, Okara ensures your research stays secure. Your chats are encrypted-at-rest and are not used to train outside models. In fact, even Okara’s own servers can’t read your encrypted content. For professionals dealing with sensitive data or anyone concerned about confidentiality, this is a big plus – you get the convenience of cloud AI with the peace of mind that your data isn’t being mined or leaked.
Extra features in one place
Okara brings a few other handy features under the same roof. You can upload your own source files (documents like PDFs, Word docs, spreadsheets, images, etc.) directly into the chat and have the AI analyze or summarize them.
Use-case of Okara AI Search Tools
Imagine you’re a content creator or analyst doing a deep-dive on “The future of electric vehicles (EVs).” In a single Okara chat, you can do the following:
- Web Search: Ask for the latest global EV adoption statistics – get a cited answer from a recent report or news article.
- Reddit Search: Switch to Reddit and ask, “What are enthusiasts saying about the new Tesla model?” – Okara will fetch top Reddit threads, and you can have the AI summarize the general sentiment or cool insights from those discussions.
- X/Twitter Search: Then search tweets for “EV charging infrastructure opinions” to see real-time chatter or expert takes. The AI can pull in a few relevant tweets or summarize trends (for example, maybe many are concerned about fast-charger availability).
- YouTube Search: Finally, search YouTube for a conference talk or review video on, say, “2025 EV technology breakthroughs”. Okara can retrieve the video’s transcript and give you a summary of the key points, all within the chat.
After gathering this multi-source intel, you can ask Okara (using, say, GPT-4 within it) to compile a report or outline for you.
Why use Okara over individual tools?
The big benefit is convenience and breadth. Instead of juggling Perplexity for web, Elicit for papers, manual Reddit/Twitter searches for sentiment, etc., Okara lets you handle a bit of everything without context-switching. It’s especially valuable when your research question spans different types of sources.
For a student or knowledge worker, Okara is a unified research command center.
Perplexity – Quick, Cited Answers from the Web
What it is Perplexity Search
Perplexity AI positions itself as a “conversational search engine”, blending a language model with live web browsing. Think of it like Google, if Google answered in plain English and cited its sources. When you ask Perplexity a question, it searches the internet and gives you a concise answer with footnote citations linking to the original sources.

Where Perplexity shines
Use Perplexity when you need fast insights, broad overviews, or fact-checked summaries across the web. It’s fantastic for general research questions, current events, or getting up to speed on a new topic. For example, if you ask “What are the latest trends in renewable energy?”, Perplexity will scan news sites, blogs, maybe Wikipedia, and return a brief summary with references.
Use-case example:
Say you’re a marketer prepping for a campaign. You might use Perplexity to quickly gather stats (“How many people use ad blockers in 2025?”), then follow up with “cite the source” or “give me more detail on that study”. Perplexity will provide the statistic with a link to, for instance, a recent survey or report, and you can click through to verify the info. It’s like having a smart research assistant who always tells you where the facts come from.
Limitations:
Perplexity is a generalist at heart. Because it pulls from the open web, its answers are only as good as the content available (and that content’s quality). This means it can occasionally hallucinate or cite outdated information, especially for niche or highly specialized queries.
Elicit – Academic Paper Discovery and Summaries
What is Elicit?
Elicit (by Ought.org) is an AI research assistant designed for academic literature. Instead of broad web info, Elicit focuses on scholarly papers – over 125 million of them – and uses semantic search to find and summarize findings from those papers.

Where Elicit shines
Use Elicit when you need credible, peer-reviewed evidence or are doing a deep dive on a research question. It excels at tasks like systematic literature reviews, thesis research, or evidence gathering for a white paper.
For example, if you ask “What do studies say about the effects of mindfulness on anxiety?”, Elicit will search its academic database and likely show you a list of papers (title, authors, year) along with brief summaries of each paper’s findings. It might even give you an aggregate answer or highlight consensus across the top studies. Crucially, Elicit pulls information directly from academic sources (Semantic Scholar database) and even highlights where in the paper the info comes from, which massively reduces hallucination and increases accuracy.
Use-case example
If you’re a graduate student or analyst doing a literature review, Elicit can save you time. Instead of manually searching Google Scholar, you ask Elicit.
Limitations of Elicit
- Elicit is laser-focused on academic knowledge. It’s not useful for general news, social media trends, or questions outside the realm of scholarly research.
- Elicit works best with well-defined empirical questions – the kind of questions that have answers in journal articles or data. If you ask something like “How many electric cars were sold last year?” or a very open-ended question, Elicit might struggle or just not be the right tool.
- It also won’t have much to say about brand-new topics that haven’t yet made it into published research.
- Another limitation is that Elicit’s summaries are only as good as the papers available.
Scite – Smart Citations for Evidence Validation
What it Scite?
Scite Assistant is all about citations and evidence in scientific literature. Scite’s unique feature is Smart Citations, it doesn’t just find papers; it tells you whether subsequent papers support, dispute, or merely mention a given study or claim.

Where Scite shines
Use Scite when you need to validate scientific claims, trace research debates, or ensure your sources are truly trustworthy. It’s a perfect companion for writing rigorous reports, academic introductions, or literature reviews where you can’t just cite one paper – you need to show that the consensus (or controversy) around that paper is documented.
Key strengths
Scite’s Smart Citations highlight how each paper is used by others, which is ideal for meta-analyses or checking if “established facts” are actually well-supporte. It’s like having a lens into the scholarly conversation: you’ll know if that 2018 study you’re quoting has since been debunked or if it’s become cornerstone evidence. Scite is also relatively accessible – there’s a free version (with limits) and a reasonably priced pro plan (~$12/month) for power users.
Use-case example
Scite turns raw citation counts into meaningful context – crucial for anyone who needs to write with academic rigor or make evidence-based decisions.
Limitations of Scite
- It’s not ideal for everyday queries or casual fact-finding.
- If you ask Scite something like “What’s the capital of Argentina?” or even “Tell me about machine learning in finance”, it won’t shine – that’s not its job.
- Also, Scite’s data depends on indexed academic publications; it might lag behind the very latest papers or preprints that aren’t in its database yet.
- Real-time information (like news or social media discussions) are outside its scope. Another consideration: Scite tells you how papers are cited, but you still might need to read those citing snippets yourself – AI can misclassify a citation’s tone occasionally (though Scite’s accuracy in classification is generally high).
Conclusion – Choosing the Right Tool (and Why Okara Often Wins)
Every AI research tool we’ve discussed has its strengths:
- Perplexity is like a fast, citation-savvy generalist – perfect for quick fact-finding, broad questions, and getting sourced answers without digging through links yourself. It’s the tool you use to get up to speed quickly on almost anything web-accessible.
- Elicit is the academic deep diver – ideal when you need trustworthy, peer-reviewed information and you’re willing to sift through paper summaries. It shines for literature reviews, research papers, and evidence-based answers, but sticks to the academic realm.
- Scite is the evidence validator – the go-to for verifying claims and understanding the scientific consensus (or debate). It’s a niche powerhouse for ensuring your references are rock-solid and knowing if a study stands on firm ground or shaky soil.
- Okara is the versatile integrator – it combines a bit of everything (web, social, video, multiple AI models) in one secure workspace. It’s what you reach for when you want to streamline your entire research workflow without hopping between apps or when your question touches many source types. Okara basically says, “No need to pick just one tool – use them all, here, through Okara.
Ready to level up your research game?
Try out Okara’s integrated AI chat experience for smarter, faster research, and see how it compares to your current toolkit.
Get AI privacy without
compromise
Chat with Deepseek, Llama, Qwen, GLM, Mistral, and 30+ open-source models
Encrypted storage with client-side keys — conversations protected at rest
Shared context and memory across conversations
2 image generators (Stable Diffusion 3.5 Large & Qwen Image) included