As the world of AI search platforms develop, so do their features, tech stack and marker differentiators. In this article we look at the most popular AI platforms, including search engines, tools, and apps that are developing.
AI platforms are largely divided into 3 categories:
- Search Engines
- Tools
- Integrations
Below is a high level overview of the main AI platforms in development:
AI Search Platforms Overview
| Platform | Function | Tech Stack | Market Differentiators |
| Google Search (AI Overviews) | AI-generated summaries | PaLM/Gemini | Integrated with traditional search results, dominates market share |
| Bing (Microsoft Copilot) | Conversational search + side summaries | GPT-4 | Strong integration with Windows/Edge, citation-rich results |
| Perplexity.ai | Direct answers with citations | OpenAI, Claude, others | Multi-model sourcing, transparent citations, research-friendly |
| You.com | Chat + search blending | Custom/OpenAI | Modular tools (code, write, summarize), privacy focus |
| Neeva (Enterprise) | Enterprise search | LLM integration | Focus on secure, private AI enterprise search |
| Glean | Workplace search | Proprietary | Integrates with SaaS (Slack, Drive), fast semantic retrieval |
| ElasticSearch + LLM | Enterprise data search | Plug-in based | Add-on for Elastic users, flexible indexing |
| ChatGPT (Browse with Bing) | Conversational answers with browsing | GPT-4 | Powerful context memory, web citations (Pro users only) |
| Claude.ai | Conversational + doc Q&A | Claude 3 | Large context window, clean tone, growing Pro tools |
| Apple Spotlight | Device & app search | Apple Intelligence (upcoming) | Siri integration, privacy-first, future AI features |
| Samsung Galaxy AI Search | On-device & web search | Google + Samsung AI | Tailored for Galaxy users, deep Google integration |
| Brave Search + Summarizer | Private search + LLM summaries | Own index + LLMs | Independent index, privacy by default |
| Andi Search | Chat-based search | Open-source/LLMs | Youth-focused UI, card-based results, simple UX |
| Komo.ai | Minimalist conversational search | LLM-driven | Clean UI, privacy-focused |
| Neeva (Consumer – Sunset) | AI summaries + private search | OpenAI | Set early trend in generative search before acquisition |
| Scite.ai | Evidence-based research | LLMs + citation graphs | Scientific claims validation, academic database focus |
| Consensus.app | Science-based Q&A | LLMs + research corpus | Summarizes scientific consensus, great for medical/legal fields |
| Waldo | Visual-first AI search | LLM + Vision models | Focused on visual search, minimal text |
| DuckDuckGo (AI Chat) | Simple private AI chat | OpenAI/Anthropic | Privacy-first, limited AI result integration |
AI Search Engines
While overlap exists with all three AI categories, search engines have gained the most attention. Most notably, the rise of ChatGPT Search, Google AIO, and Perplexity.ai.
The largest race in the AI search engine and marketing space occurs between Google and ChatGPT. Google calls its AI search results Search Generative Experience (SGE). The most common type of SGE results, AI Overviews (AIO), appear at the top of the page without the need to click further. This trend developed in 2024 into 2025, and Google limited such results to informational queries that include who/what/when/how/why.
In the second quarter of 2025, Google’s AIO overviews began including commercial queries such as finding businesses specializing in certain sectors or services. For example, “plumbing companies in Minneapolis” or “what plumbing companies in Minneapolis have high reviews?” Such queries involve research and transaction intent, which define commercial queries.
In the second half of 2025 into 2026, Google plans to include transactional terms in AIO overviews. These terms include “near me” or “for sale,” such as “plumbers in Minneapolis” or “tea for sale.”
Search results will likely consist mainly of AI overviews with a mixture of informational, commercial, and transactional results with multiple site types displayed for quicker visibility and choices up front. Google believes this reduces scrolling time and keeps users more directly within its platform.
ChatGPT
ChatGPT became the first major search engine to show AI results starting in 2024. Initially, ChatGPT functioned as an AI tool to increase productivity and support research. Soon thereafter, ChatGPT introduced its search engine operating similar to others. The company saw a major user shift to its platform, which consequently sounded the alarm at Google to quickly adapt its search engine to compete.
Initially, the search engine displayed only informational queries such as who, what, where, when, how, and why. In 2025, ChatGPT began displaying commercial queries similar to Google. ChatGPT not only introduced AI results for informational queries but also became the first to display commercial queries. In late 2025 into 2026, ChatGPT plans to launch its own ad program to compete with Google and drive revenue.
Other Competitors
Other competitors include platforms such as Perplexity.ai. Most analysts agree that Google and ChatGPT will remain the primary AI search engines based on the level of investment flowing into each company and the experience each has in these sectors. Similar to Google, other competitors have tried but largely failed by comparison. The AI search engine market follows no different path.
The AI Search Engine Race
AI search engines aim to differentiate themselves based on trust and quality of information delivered to the user. Success also depends on the ecosystem of goods and services provided by each search engine. For example, will ChatGPT offer its own business listings similar to Google’s GBP listings? Likewise, will Google create more tools that integrate with its search engine results and ecosystem to give users a more streamlined experience? The answer remains uncertain, but the two primary competitors are ChatGPT and Google.
The Ecosystem of AI Tools & Integrations with Search Engines
AI search engines focus on building ecosystems to support better user experiences. The direction of many new platforms remains unclear, but most seem to adopt OpenAI connectivity and integration. Since OpenAI functions as an open-source platform, this approach makes sense. However, Google risks weakening its ecosystem if it does not allow more nonnative applications to integrate.