Ranktune is an AI search visibility and content platform that measures brand visibility in AI answers, finds competitor gaps, and tracks AI assistant visits.
Ranktune is an AI search visibility and content platform for businesses that want to understand how AI assistants describe and recommend their brand. It tracks buyer-intent prompts across major AI engines, measures visibility and share of voice, and identifies cases where a business is omitted, misdescribed, or losing mentions to competitors.
The platform connects visibility analysis with AI-attributed traffic, discussion monitoring, recommendations, and content production. Teams can use reports to prioritize changes, create and score blog or social content, publish through supported connections, and evaluate whether visibility work is associated with visits from AI assistants.
Run buyer-intent prompts across major AI engines and review mentions, skips, competitor outcomes, historical trends, and share of voice. Depending on the plan, tracked platforms include ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and DeepSeek.
See where models misunderstand your brand, product, or industry, then review prioritized recommendations tied to visibility, share-of-voice, and understanding gaps.
Use a lightweight site script to attribute visits from AI assistants and chatbots. Ranktune separates confirmed, likely, and possible AI traffic and shows referral trends and landing pages.
Monitor Reddit, Quora, Hacker News, and LinkedIn discussion opportunities, along with site signals and search queries surfaced from workspace data.
Draft, score, manage, and schedule blog and social content. SEO content scoring provides improvement guidance, and supported CMS publishing can send content to WordPress.
Ask a workspace-aware agent questions grounded in reports, AI traffic, documents, and brand context; use it for drafting and publishing or social follow-up actions.
Track category and product prompts to see whether AI shopping answers mention a store or its products. Use visibility gaps and competitor results to guide improvements to category content and other pages shoppers may encounter.
Measure how AI engines describe a software company, its product, and its industry. SaaS teams can identify unclear positioning, review competitor mentions, and prioritize content that addresses missing use cases.
Run separate visibility and competitor analyses for client brands, then use reports, recommendations, content workflows, and collaboration features to organize recurring optimization work across workspaces.
Connect visibility findings to publishing by drafting and scoring blog or social posts, sending supported content to a CMS, and tracking whether related AI-attributed visits appear afterward.
Use discussion monitoring to find relevant Reddit, Quora, Hacker News, or LinkedIn threads and site signals that can inform brand participation and visibility priorities.
Yes. Ranktune offers a free trial with 10 AI credits total. Paid plans add full visibility insights, more credits, and team features.
Each AI request uses one credit, regardless of its length or model. Visibility tracking uses separate prompt and refresh allowances rather than content-generation credits.
The workspace-aware agent can answer questions using visibility reports, AI traffic, documents, and brand context. It can also draft documents and help schedule publishing or social follow-up actions.
Ranktune tracks AI visibility separately from AI-attributed site traffic. Its traffic feature uses a lightweight script and categorizes visits as confirmed, likely, or possible AI traffic, with referral sources shown by model when available.
Webhooks are available on all paid plans. API access and the MCP server are included with Business, Growth, and Enterprise plans.
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