Tak: Perplexity alternative

Crazy news guys, we’ve just launched a startup program for AI founders (the perks are crazy).

You can get $2000 worth of credits (Anthropic, Mistral, OpenAI, and Phospho) + a call with our amazing team to guide you in your product-market-fit journey.

You can apply here.

What Are Perplexity-Like Tools?

AI search engines like Perplexity and Tak are quickly becoming the norm because they’re easier to use and you get the answers you want faster - it’s as simple as that.

The difference between AI search and traditional search like Google or Bing:

You can ask any queries and you’re given summaries you can chat with instead of having to crawl through different websites yourself.

It’s like talking to a real life expert about your specific query.

This makes Perplexity great for fast research purposes but for any personalisation or more specific use cases, you need a Perplexity alternative.

Why Tak is the #1 Perplexity Alternative

Choosing which to use between Perplexity and Tak will depend mostly on your specific use case and requirements as they each have their unique strengths over one another.

Perplexity: Best Use Cases

1) For Multimodal capability

The edge Perplexity has over other AI search engines at the moment is its multimodal ability which lets you attach text, images, and pdf documents to reinforce your search queries. However, you are limited to attaching a maximum of 3 text or pdf documents per day on the free tier (multimodal capability is on the premium tier).

For promo codes to Perplexity’s premium tier, read our previous article about it here.

2) For fast and ‘focused’ research

You can tailor your search results based on the specific focus of your queries for more relevant results (see image above).

Perplexity offer unlimited queries on the free tier but without any of its advanced features. This makes it a really useful tool for general research and fast information retrieval, but for more flexibility or personalised experiences it can feel limited.

You can read more about Perplexity’s key features and use cases in more detail in our previous article here.

Why you should use Tak as a Perplexity alternative

Tak’s edge over Perplexity and any other Perplexity alternative is its ability to constantly self learn for more personalised search experiences and higher relevance with its results.

Put simply, using Tak as your AI search engine allows for:

• a personalised experience that improves over time
• more relevant results based on your past interactions
• Less time spent manually refining queries to get desired results

Unlike Perplexity, Tak is completely free to use including its advanced features which makes it a more accessible Perplexity alternative.

For you: given that Tak is in its early stages - we’re welcoming feedback from our users to give you a voice in driving future features by sharing your thoughts. You can see in the image below where you can suggest improvements for us to implement e.g upload images and files, custom instructions, threads etc.

Four Key Use Cases for Tak

1) Accelerated Research for Students and Academics

Students can get great usage out of Tak for answers to their academic work, whether it’s summarising new topics in their course, faster research, asking questions to essays and PDFs, or getting an overview on academic papers without having to read everything.

2) Instant Industry Insights for Professionals

This often comes with endless amounts of papers, publications, and reports to go through. By using Tak you could save hours if not days staying on top of the latest industry insights and quickly gathering summaries.

3) Simplified Knowledge Discovery for Everyday Users

AI search is much easier and feels like a more natural way to get what you need online. Tak’s best use case is arguably to get fast answers to general everyday questions because it can honestly feel 10x more efficient than going through Google.

4) Personalized Answers for Niche Queries

Tak’s unique ability to self learn based on your usage and feedback positions it to deliver more personalised search answers than any other AI search engine. Try Tak now.

(If you’re curious how Tak can self learn, it’s using advanced analytics we’ve developed under the hood called Phospho - more on that later)

Tak is Evolving: How You Can Shape Its Future

We’re developing Tak with your feedback in mind so share with us any thoughts or ideas using the feedback button in the burger menu in the top right of the screen when you open Tak.

We want to make sure that as an open source AI search engine, we’re directly improving Tak based on your needs.

(It’s in French but feel free to add any feedback in the form in your preferred language)

How To Use Phospho to Improve Your AI Search

If you’re building any LLM or AI search integrated software, using Phospho can help you improve your product with real-time text analytics.

We increased retention on Tak by 25% using Phospho to:

• Understand the most popular use cases
• Cluster search queries and topics
• Identify the most common pain points in real-time

After launching a new version with these insights our users came back stronger than ever. As user satisfaction increased, so did retention by around 25%!

To see how you can do the same for your AI product, read this article.

Conclusion: Choose Tak, the #1 Perplexity Alternative for LLM App Developers

The amount of information available to us online is overwhelming and quite honestly, futile for us to search through ourselves all the time.

AI search engines are a faster, easier way to access the answers we need and the quality of results are usually better because they consider context and meaning behind our queries rather than matching keywords and relying on algorithms.

It’s for this reason it will only become more important to test them our for yourself to explore its capabilities. Try Tak now or watch our 40 second demo video on YouTube here.