# Oppin

> Oppin is an AI search visibility and Generative Engine Optimization (GEO) platform. It tracks how brands appear in answers from ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude, shows which sources those answers rely on, and turns the data into actions that improve a brand's visibility.

A brand picks the questions its buyers ask AI assistants (Oppin calls them prompts) and the competitors it wants to compare against. Every day, Oppin asks each prompt on each selected AI engine, as if from a chosen country (and optionally a US state) and language, and keeps the full answer. From those answers it measures which brands are mentioned, in what position and with what sentiment, which web pages the AI read (sources) and showed to the reader (citations), and which searches the AI ran before answering (query fan-out).

Oppin is used by in-house marketing, SEO and content teams, SaaS companies, and agencies that track many client brands from one account.

Key facts:

- AI engines: ChatGPT, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews and Google AI Mode are included on every plan, with up to 3 engines per prompt. Claude is a paid add-on and does not use one of those 3 slots.
- Tracking runs daily. Prompts can be tracked from nearly any country, in any language, with US state-level targeting.
- Plans: Startup $129/month (100 prompts, 9,000 responses analyzed per month), Pro $299/month (250 prompts, 22,500 responses), Plus $549/month (500 prompts, 45,000 responses). Yearly billing saves about 20% ($1,238, $2,870 and $5,270 per year). Prices are in USD and include sales tax or VAT where it applies.
- Claude add-on: 15, 30 or 50 prompts tracked on Claude for $29, $59 or $99 per month, on top of any plan.
- Every plan includes all features, unlimited team members and unlimited competitors, with no per-seat fees.
- Data access on every plan: an MCP server for AI apps (https://api.oppin.ai/mcp), a read-only REST API, and CSV, Excel and JSON exports.
- Agencies and enterprises can ask for a custom plan at ricardo@oppin.ai.
- Company: Oppin LLC, Wyoming, USA. Contact: contact@oppin.ai.

## Product

- [Oppin home](https://oppin.ai/): What Oppin does, the metrics it tracks, country coverage, plans and FAQ.
- [Brand Mentions](https://oppin.ai/features/brand-mentions): How often AI engines mention a brand and its competitors, share of voice, position and sentiment over time, by engine, country and topic.
- [Sources & Citations](https://oppin.ai/features/sources-citations): The domains and pages AI engines use and cite for a brand's prompts, and where competitors have sources the brand lacks.
- [Query Fan-Out](https://oppin.ai/features/query-fan-out): The web searches AI engines run behind each prompt, used to find the topics and comparisons a brand's content should cover.
- [AI Search Actions](https://oppin.ai/features/actions): Prioritized on-site and off-site recommendations built from a brand's own visibility, source and fan-out data.
- [MCP Server](https://oppin.ai/features/mcp): Connect Claude, ChatGPT, Cursor or any MCP app to live Oppin data. Changes to tracking need write access and approval, and every change can be undone.
- [Pricing](https://oppin.ai/pricing): Startup, Pro and Plus plans, the full feature table and the Claude add-on.
- [Book a demo](https://oppin.ai/book-a-demo): Schedule a walkthrough with the Oppin team.
- [Sign up](https://app.oppin.ai/signup): Create an account, add a brand and pick a plan.

## Documentation

- [Docs index for LLMs](https://docs.oppin.ai/llms.txt): The full list of Oppin documentation pages.
- [What is Oppin?](https://docs.oppin.ai/what-is-oppin.md): Why AI search visibility matters and what Oppin measures.
- [Quickstart Guide](https://docs.oppin.ai/quickstart-guide.md): From a new workspace to the first AI visibility results.
- [Supported AI Models](https://docs.oppin.ai/supported-ai-models.md): The AI engines Oppin tracks and how each one is answered.
- [Brand Strength](https://docs.oppin.ai/brand-strength.md): The Oppin Index, one 0 to 100 score: 40% Visibility, 30% Share of Voice, 20% Top 3 Rate and 10% Sentiment, scaled down when a brand has few mentions.
- [Visibility](https://docs.oppin.ai/visibility.md): The percentage of AI answers that mention the brand.
- [Share of Voice](https://docs.oppin.ai/share-of-voice.md): The brand's share of all brand appearances in AI answers, counting each brand once per answer.
- [Position & Top 3 Rate](https://docs.oppin.ai/position.md): Where the brand ranks inside AI answers and how often it lands in the top 3.
- [Sentiment](https://docs.oppin.ai/sentiment.md): How favorably AI engines describe the brand, scored 0 to 100.
- [Sources vs Citations](https://docs.oppin.ai/sources-vs-citations.md): The difference between the pages a model read and the pages it showed to the reader.
- [Understanding Query Fan-Out](https://docs.oppin.ai/understanding-query-fan-out.md): The searches AI engines run before answering, and how much of that demand a brand captures.
- [Understanding Actions](https://docs.oppin.ai/understanding-actions.md): How tracking data becomes a prioritized list of on-site and off-site work.
- [Pricing details](https://docs.oppin.ai/pricing.md): Plan limits, how responses are counted and how the Claude add-on is billed.
- [Glossary](https://docs.oppin.ai/glossary.md): Every Oppin term, defined once.
- [FAQ](https://docs.oppin.ai/faq.md): Answers to the most common questions.

## Developers and integrations

- [Connect Oppin to your AI app](https://docs.oppin.ai/mcp/overview.md): The remote MCP server at https://api.oppin.ai/mcp, with sign-in or an API key, on every plan.
- [Connect step by step](https://docs.oppin.ai/mcp/connect.md): Setup for Claude, ChatGPT, Cursor, VS Code, Claude Code, Codex and other MCP apps.
- [MCP tools](https://docs.oppin.ai/mcp/tools.md): Every tool the Oppin MCP server offers, with its arguments.
- [MCP use cases](https://docs.oppin.ai/mcp/use-cases.md): Ready-to-paste questions for an AI assistant connected to Oppin.
- [API](https://docs.oppin.ai/api.md): Read Oppin data from your own code with an API key.
- [Data model](https://docs.oppin.ai/data-model.md): The tables behind every export and the API, and how they join.
- [Export your data](https://docs.oppin.ai/exports.md): CSV, Excel and JSON downloads of any table or a whole brand.

## Research and case studies

- [AI Search Sources & Citations Study 2026](https://oppin.ai/blog/ai-search-sources-citations-study-2026): Oppin's study of 17,450 source uses in e-commerce AI answers. Product pages were the largest single format (27.3%), editorial content was 53.4% combined, and retailers' own sites supplied only 2.2%.
- [How LocalPipe went from #14 to #4 in AI search in two weeks](https://oppin.ai/blog/how-localpipe-went-from-14-to-4-in-ai-search-in-two-weeks): A B2B SaaS used Oppin's query fan-out data to plan listicles, comparisons and tutorials, and moved from #14 to #4 among 45 tracked brands.

## Guides

- [How to track your brand visibility in AI search](https://oppin.ai/blog/how-to-track-your-brand-visibility-in-ai-search): Which prompts to track and which metrics to watch across AI engines.
- [How to track ChatGPT brand mentions, sources and citations](https://oppin.ai/blog/how-to-track-chatgpt-brand-mentions): Measuring mentions, sources and visible citations in ChatGPT as three separate signals.
- [How to measure AI share of voice using Oppin](https://oppin.ai/blog/how-to-measure-ai-share-of-voice-using-oppin): How AI share of voice is calculated and how to read it next to visibility, position and sentiment.

## Comparisons

- [Oppin vs Profound](https://oppin.ai/blog/oppin-vs-profound): Plan-by-plan comparison of prices, limits and what each plan includes.
- [Oppin vs Peec AI](https://oppin.ai/blog/oppin-vs-peec-ai): Comparison of models, projects and prompt volume per plan.
- [Oppin vs Semrush](https://oppin.ai/blog/oppin-vs-semrush): A dedicated AI visibility platform compared with Semrush's AI visibility features.
- [10 best AI search visibility tools in 2026](https://oppin.ai/blog/10-best-ai-search-visibility-tools-in-2026): Ten AI visibility tools compared by pricing, features and use case.
- [10 best AI search competitor analysis tools in 2026](https://oppin.ai/blog/10-best-ai-search-competitor-analysis-tools-in-2026): Tools for seeing which competitors AI recommends, for which prompts, and why.
- [10 best GEO tools for marketing agencies in 2026](https://oppin.ai/blog/best-geo-tools-for-marketing-agencies-in-2026): GEO platforms compared on the costs and workflows that matter when an agency manages many clients.
- [Best MCP servers for AI search visibility in 2026](https://oppin.ai/blog/best-mcp-servers-ai-search-visibility-2026): AEO and GEO tools that offer an MCP server, compared for asking an AI app about brand visibility, competitors and citations.

## Optional

- [Blog](https://oppin.ai/blog): All articles on AI search, GEO and AI visibility.
- [Privacy Policy](https://oppin.ai/privacy-policy): How Oppin collects, stores and protects information.
- [Terms of Service](https://oppin.ai/terms-of-service): Account, subscription and billing terms.