tobecited - 2026 Pricing, Features, Reviews & Alternatives

ToBeCited is an AI visibility monitoring platform that enables organizations to measure whether large language models such as ChatGPT, Claude, Gemini, and Perplexity recommend their brand when users seek product suggestions. The platform addresses the challenge of brand visibility in AI-generated responses by providing data on how often a company’s offerings are mentioned relative to competitors. It serves organizations across industries where digital discovery and AI-driven recommendations influence buyer decisions. The solution targets markets in which brand presence in conversational AI can affect product research and purchase journeys.

The platform submits custom buyer questions to four AI assistants in real time and analyzes responses to determine brand mention frequency. Each visibility check queries ChatGPT, Claude, Gemini, and Perplexity with identical prompts while recording whether the target brand is named, which competitors appear instead, and what sources the models cite. The free tier supplies twelve answers by posing three buyer questions across all four models. Paid plans generate twenty answers per week by repeating five questions, producing data that tracks visibility trends over time. The system reads up to ten pages from the client site without executing JavaScript, replicating the server-rendered HTML view available to most AI crawlers. To verify bot access rules it issues requests to the homepage under various user-agents including GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, and a neutral control, documenting which crawlers are granted access or blocked.

The platform identifies content discrepancies between crawler-accessible HTML and browser-rendered content, quantifying text segments that remain invisible to AI systems due to JavaScript dependencies. Reports provide answer-level detail with verbatim text fragments showing where brands are mentioned, domains cited as sources, and counts of answers that include any citations. Visibility is calculated as a concrete ratio expressed in terms such as “named in three of twenty answers” to support verifiable metrics. Each issue includes precise correction guidance that specifies which files, tags, and paragraphs require modification. Ready-to-paste fix files, including llms.txt templates, Schema markup, and revised copy, are available as paid add-on features.

ToBeCited requires no installation, DNS modifications, or embedded scripts on the client website to perform visibility checks. The platform operates entirely from its own infrastructure, accessing public-facing pages as an external crawler would. Reports can be viewed as web pages, exported to PDF, or shared via read-only links that do not require recipient accounts. The system does not alter AI model responses, insert brands into answers, or interact with language models on behalf of clients. It functions exclusively as a measurement and analysis tool focused on recommendations by AI assistants rather than traditional search engine results. The solution does not generate content automatically but instead delivers diagnostic data and remediation instructions that clients implement through their own editorial processes and schedules.