Komo Search

What is Komo Search?

Komo Search is an AI answer engine that searches the web in real time and replies with cited answers rather than a list of blue links. Every claim links back to a source, and a fact-check sidebar shows the exact quote that supports each sentence. You can narrow a query to one of six research corpora, including academic papers, social sentiment, news, video and blogs, and choose between a fast default search and a slower Deep Research mode that reads 20 to 50 or more sources and flags contradictions.

Komo first launched on Product Hunt in January 2023 as a search engine powered by generative AI. The company behind it, Komo AI Corp, lists a New York address in its privacy policy (updated March 2026), although one directory places the startup in San Francisco. Komo has since widened its scope: it added Komo Playbook, an AI operations product, in January 2026, and its documentation now also describes a sales-focused revenue engine. The search product remains live in October 2026, with sign-in required and a free plan that refreshes credits every day.

Key Features

• Cited answers: Komo Search writes answers with inline citations that point to the original web pages. Clicking the dotted line under a sentence opens the supporting quote, so you can check a claim without leaving the results page.
• Six research corpora: Komo Search lets you limit a query to Web, Academic, Social Sentiment, News Trends, Video Content or Blog Publications. Academic covers sources such as Google Scholar and arXiv, while Social Sentiment draws on X, Reddit and LinkedIn.
• Quick Search and Deep Research: Quick Search reads 5 to 10 sources and usually answers within about ten seconds. Deep Research reads 20 to 50 or more sources, highlights contradictions and presents several perspectives, but the documentation says it takes up to a minute.
• Model choice: Komo Search runs its own fine-tuned Komo model by default and lets you switch to Claude, OpenAI or Gemini models. The documentation suggests Claude for detailed reports, OpenAI for technical reasoning and Gemini for long documents.
• Document uploads: Komo Search accepts short documents attached directly in the chat for questions about your own files. Longer files of 100 pages or more go into a separate Data Room feature, which the documentation recommends for larger research sets.
• Saved and shared research: Komo Search stores past queries in an Activity Monitor so you can return to earlier research. Answers can be exported with a full citation list or shared with teammates, which helps when several people work on one report.
• Credit-based upgrades: Komo Search meters premium models, deep research and people search through one shared credit balance. The official pricing page says this means you pay only for what you use, rather than a fixed allowance per feature.

Pros

• Easy to verify: Komo Search shows the source quote behind each sentence, which makes fact-checking quicker than with uncited chatbots. Researchers and writers can confirm a figure in seconds before quoting it.
• Focused source filters: Komo Search narrows answers to academic, news, social or video sources with one click. That helps when you want journal papers or Reddit opinion specifically, rather than a mixed set of general web pages.
• Usable free plan: Komo Search gives free accounts fresh credits every day with no card required. The free tier includes Komo Fast and budget models, all focus modes and search history, which is enough for regular light research.
• Several leading models: Komo Search puts Claude, OpenAI and Gemini models behind one interface and one credit balance. You can compare how different models handle the same question without paying for several separate subscriptions.
• Multilingual results: Komo Search accepts questions in any major language and replies in the language of the query. You can also ask for a specific response language, which suits teams researching foreign-language markets.

Cons

• Unclear pricing: Komo Search shows only the Free plan on its public pricing page in October 2026. Directories report paid prices from $8 to $170 a month, so confirm the current figures inside your account before upgrading.
• Slow deep research: Komo Search takes 30 to 60 seconds for a Deep Research answer, according to its own FAQ. That delay is fine for reports but frustrating for quick look-ups during a busy working day.
• Shifting company focus: Komo AI Corp now promotes an operations platform and a sales revenue engine alongside search. Some users may worry that the consumer search product gets less attention as the company chases business customers.
• Thin review base: Komo Search has very few independent user reviews, with one directory counting five Product Hunt reviews from 2023 and none on G2. That makes long-term reliability harder to judge than for Perplexity or ChatGPT.
• Mixed accuracy reports: Komo Search does not always return useful answers, and Toolsforhumans rates it 3.0 out of 5 for inconsistent accuracy. You should still check important figures against the primary source before publishing anything.

Who is Using Komo Search?

• Researchers and analysts: They use Deep Research and the academic corpus to gather cited material for reports and literature checks.
• Journalists and writers: They check claims against quoted sources and use the news and social corpora to follow a developing story.
• Students: They use the free daily credits for coursework research and read the linked sources to support essays.
• Business teams: They share research threads, scan social sentiment on brands and use people search for prospect and market research.

Pricing

Komo Search is free to start, with paid credit tiers on top (official Free plan and directory-reported paid prices, checked October 2026).

The official page lists only the Free plan, so the paid figures come from Tooliverse; older listings quote Basic at $8 to $15 and Premium at $30 a month. Plans and credit costs change often, so treat this table as a guide and confirm the live price at checkout.

What Makes Komo Search Unique?

Sentence-level source quotes are the concrete difference. Many AI search tools add footnotes, but Komo Search lets you click any line of an answer and see the passage it came from, then filter the whole query to one corpus such as academic papers or social media. Combined with a choice of Komo, Claude, OpenAI and Gemini models on one credit balance, this makes it a checking tool as much as an answer tool.

Compatibilities and Integrations

• Platforms: Komo Search runs in any modern web browser at komo.ai; one directory lists it as web only.
• AI models: It offers its own Komo models plus Claude, OpenAI and Gemini models from the model selector.
• Files and export: You can attach short documents, use the Data Room for long files and export answers with full citations.
• Developer access: One directory reports an MCP server and REST API, which the company’s documentation ties to its wider platform.

Komo Search Tutorials

A first research session takes only a few minutes once you have an account.

1. Sign in at komo.ai, since searching requires a free account.
2. Pick a corpus from the globe icon, such as Academic Research or News Trends.
3. Choose Quick Search or Deep Research from the lightning icon, then pick a model.
4. Type your question and click the dotted lines under sentences to read the source quotes.
5. Export the answer with its citation list or save it in your history for later.

How We Rated It

Summary

Komo Search suits researchers, writers and students who want AI answers they can check line by line. Its biggest limit is uncertainty: paid prices are not public on the official page, and the company’s attention is spreading into sales and operations tools. Start with the free daily credits and test the Academic and News corpora on a topic you know well. Upgrade only if Deep Research saves you real time.