1. Glean: The 'Perplexity' for Your Workplace
If Perplexity scours the public web for answers, Glean does the same for a company's messy internal universe. Think of all the knowledge trapped in scattered Slack channels, Google Docs, Confluence pages, and Salesforce records. Glean’s AI-powered search
platform plugs into these disparate systems and acts as a single, all-knowing colleague. An employee can ask, “What was our Q3 revenue in the Midwest region last year?” and get a direct answer with links to the source spreadsheets and presentations, rather than a list of vaguely related files. It solves a massive business headache: institutional knowledge drain and wasted time searching for information. While Perplexity is consumer-facing, Glean proves the 'answer engine' model is arguably even more valuable in the enterprise world, where context and accuracy are paramount.
2. You.com: The Customizable AI Chat Search
One of the earliest challengers to blend traditional search with generative AI, You.com has been a pioneer in this space. Its interface feels like a bridge between the old and new worlds. You can get a standard list of links, but it’s complemented by an AI chat assistant and customizable apps that pull information from sources like Reddit, Stack Overflow, or Wikipedia directly into the results. Its founder, a former top AI scientist at Salesforce, has long argued that search should be more personal and less dominated by a single ad-driven model. While Perplexity has leaned hard into the pure 'answer' format, You.com represents a hybrid approach, giving users more control over their information diet. It’s a bet that people still want links, but they want them augmented by AI, not entirely replaced.
3. Cohere: The 'Picks and Shovels' for Enterprise AI
Cohere isn’t a search engine, but it’s a critical company to watch because it provides the foundational technology that lets other businesses build their own Perplexity-like tools. Founded by ex-Google AI researchers, Cohere builds powerful large language models (LLMs) specifically for enterprise use. Their key differentiator is a focus on data privacy, customizability, and deployment within a company’s own cloud environment. A bank, for instance, could use Cohere’s models to build a secure internal chatbot that understands complex financial jargon without sending sensitive data to a third-party server. In the gold rush to build AI features, Cohere is selling the picks and shovels, enabling thousands of companies to create bespoke answer engines tailored to their specific needs, making it a powerful force shaping the B2B side of the AI revolution.
4. Andi: The Conversational, Visual Search Engine
Andi positions itself less as a search tool and more as a 'search companion.' It ditches the list of blue links entirely for a conversational, chatbot-style interface that feels more like texting a smart friend. It often presents answers in a clean, visual format, using cards and summaries that are easy to digest on a mobile device. Andi is explicitly targeting a younger demographic that is more accustomed to platforms like TikTok and Instagram, where information is visual and conversational. It uses a combination of LLMs and live web data to generate answers, aiming for a more engaging and less cluttered experience than traditional search. It’s a bold bet that the future of finding things online looks more like a dialogue and less like a directory.
5. Anthropic: The Conscientious AI Model Builder
Like Cohere, Anthropic doesn't offer a public search engine. Instead, it builds the foundational LLMs that power them, but with a fanatical focus on safety and reliability. Founded by former OpenAI researchers, Anthropic is behind the Claude family of AI models. Their signature innovation is 'Constitutional AI,' a method for training models to adhere to a set of principles (a 'constitution') to avoid generating harmful, biased, or untruthful responses. For any 'answer engine' like Perplexity to succeed long-term, it needs to be trustworthy. A tool that confidently hallucinates facts is worse than no tool at all. Anthropic’s work is fundamental to solving this problem. As users demand more reliability from AI-generated answers, the models built with safety at their core will become the gold standard, making Anthropic a vital player in the entire ecosystem.
