This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
RankCaster AU
Proactive AI Visibility Marketing Platform - GEO, AEO, AIO
The first Proactive AI Visibility Marketing Platform. Track AI Visibility — Measure APR across ChatGPT, Gemini, Claude, Perplexity, DeepSeek & Google AI Overviews. Optimize for AI — Schema.org, Knowledge Graph, llms.txt, ai.txt & MCP Server. Create & Publish — AI-driven content based on real AI results, with multi-channel publishing. Monitor & Act — Sentiment, competitors, hallucinations, reports & real-time APR alerts.
Hey guys, look, I know marketing is a pretty complex thing, right?
I wanted to make it easier, so I created a platform that covers every step of AI Visibility.
To be honest, I initially built it for myself. Then I realized how useful it could be for others, so I decided to share it — and, surprisingly, people actually liked it. 😄 Now, even some of our customers are switching from Ahrefs to our platform.
What do we offer?
AI Mention Tracking
Tracks where and how often your brand appears across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Google AI Overviews — measuring your AI Presence Rate (APR) per prompt, per model, and over time with anchor and daily measurement cycles. Unlike single-run trackers, anchor measurements run 10 queries per prompt per cycle, reducing variance by √10 and producing a statistically reliable APR signal rather than a one-off snapshot.
AI Search Ranking Insights
Shows how each AI platform surfaces your brand across your monitored prompts, breaking down APR by model and visualizing performance trends over rolling measurement windows. Tracking 6 platforms simultaneously means your visibility score reflects the full AI search landscape — not a single provider that represents less than 30% of real-world AI query volume.
AI Sentiment Monitoring
Classifies how AI-generated responses portray your brand — positive, neutral, or negative — at both the response level and the individual source level. This two-layer model captures sentiment shifts that response-only classifiers miss: a positive mention can cite a negatively-framed source, and single-layer tools can't tell the difference.
Competitor AI Presence Comparison
Compares how often named competitors are mentioned alongside your brand in AI-generated responses, with per-competitor mention counts, mention levels, and source-level overlap analysis. Because overlap is measured at the citation source, not just the response, you know exactly which third-party pages are handing AI models the narrative — and whether they're handing it to you or your competitor.
Semantic Optimization for AI Models
Provides three structured tools to improve AI discoverability: a Schema.org/JSON-LD editor, a Knowledge Graph builder that generates llms.txt and ai.txt files for AI crawlers, and a hosted MCP Server that exposes brand knowledge directly to AI models. Three independent signal channels means a brand is reachable by AI systems that ignore structured data, those that ignore knowledge graphs, and those that ignore both — coverage no single-tool approach can match.
AI-Driven Content Recommendations
Generates content themes and article drafts based on your monitored prompts and top-authority sources in AI results, with multi-channel publishing to WordPress, LinkedIn, Medium, Reddit, and Bluesky. Because themes are derived from prompts that already drive AI mentions, every piece of content targets a proven AI-visible topic — not a keyword prediction that may never reach an LLM training set.
AI Visibility Reporting
Delivers shareable reports combining APR trends, model-by-model rankings, sentiment scores, and competitor mentions — as a printable page, PDF, CSV, or public share link with view tracking. Combining four signal types in one report eliminates the correlation error that occurs when APR, sentiment, and competitor data are read from separate tools with different measurement windows.
AI Hallucination Detection
Scans AI-generated content drafts for fabricated statistics, invented citations, and unsupported claims — flagging and replacing inaccuracies before publication, with a risk score and per-change log. The pipeline fetches the actual referenced source and runs a second LLM pass against it, catching fabrications that single-pass classifiers confirm as real because they only check plausibility, not ground truth.
Real-Time AI Mention Alerts
Notifies you when your APR hits a new high or drops significantly between measurement cycles, delivered via in-app inbox and email. Alerts are triggered by a delta against the previous cycle's weighted mean — not an absolute threshold — so a drop from 80% to 74% on a high-traffic prompt triggers the same urgency as a drop from 20% to 14%, regardless of your baseline.
AI Visibility Certificates Get certificates based on verified AI Visibility results, proving that your work actually improved a brand’s presence across AI platforms.
What I promise you: very close communication about any new feature you want, as well as any bugs, problems, or questions you have. My goal is to make your experience — and ultimately your business — as successful as possible.
Let’s stay in touch. I’m here for you, and I’m always glad to hear your honest feedback.
About RankCaster AU on Product Hunt
“Proactive AI Visibility Marketing Platform - GEO, AEO, AIO”
RankCaster AU was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. The first Proactive AI Visibility Marketing Platform. Track AI Visibility — Measure APR across ChatGPT, Gemini, Claude, Perplexity, DeepSeek & Google AI Overviews. Optimize for AI — Schema.org, Knowledge Graph, llms.txt, ai.txt & MCP Server. Create & Publish — AI-driven content based on real AI results, with multi-channel publishing. Monitor & Act — Sentiment, competitors, hallucinations, reports & real-time APR alerts.
On the analytics side, RankCaster AU competes within Marketing, Growth Hacks and Marketing automation — topics that collectively have 476.3k followers on Product Hunt. The dashboard above tracks how RankCaster AU performed against the three products that launched closest to it on the same day.
Who hunted RankCaster AU?
RankCaster AU was hunted by Andy Terekhin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of RankCaster AU including community comment highlights and product details, visit the product overview.
Andy Terekhin
Hey guys, look, I know marketing is a pretty complex thing, right?
I wanted to make it easier, so I created a platform that covers every step of AI Visibility.
To be honest, I initially built it for myself. Then I realized how useful it could be for others, so I decided to share it — and, surprisingly, people actually liked it. 😄 Now, even some of our customers are switching from Ahrefs to our platform.
What do we offer?
AI Mention Tracking
Tracks where and how often your brand appears across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Google AI Overviews — measuring your AI Presence Rate (APR) per prompt, per model, and over time with anchor and daily measurement cycles. Unlike single-run trackers, anchor measurements run 10 queries per prompt per cycle, reducing variance by √10 and producing a statistically reliable APR signal rather than a one-off snapshot.
AI Search Ranking Insights
Shows how each AI platform surfaces your brand across your monitored prompts, breaking down APR by model and visualizing performance trends over rolling measurement windows. Tracking 6 platforms simultaneously means your visibility score reflects the full AI search landscape — not a single provider that represents less than 30% of real-world AI query volume.
AI Sentiment Monitoring
Classifies how AI-generated responses portray your brand — positive, neutral, or negative — at both the response level and the individual source level. This two-layer model captures sentiment shifts that response-only classifiers miss: a positive mention can cite a negatively-framed source, and single-layer tools can't tell the difference.
Competitor AI Presence Comparison
Compares how often named competitors are mentioned alongside your brand in AI-generated responses, with per-competitor mention counts, mention levels, and source-level overlap analysis. Because overlap is measured at the citation source, not just the response, you know exactly which third-party pages are handing AI models the narrative — and whether they're handing it to you or your competitor.
Semantic Optimization for AI Models
Provides three structured tools to improve AI discoverability: a Schema.org/JSON-LD editor, a Knowledge Graph builder that generates llms.txt and ai.txt files for AI crawlers, and a hosted MCP Server that exposes brand knowledge directly to AI models. Three independent signal channels means a brand is reachable by AI systems that ignore structured data, those that ignore knowledge graphs, and those that ignore both — coverage no single-tool approach can match.
AI-Driven Content Recommendations
Generates content themes and article drafts based on your monitored prompts and top-authority sources in AI results, with multi-channel publishing to WordPress, LinkedIn, Medium, Reddit, and Bluesky. Because themes are derived from prompts that already drive AI mentions, every piece of content targets a proven AI-visible topic — not a keyword prediction that may never reach an LLM training set.
AI Visibility Reporting
Delivers shareable reports combining APR trends, model-by-model rankings, sentiment scores, and competitor mentions — as a printable page, PDF, CSV, or public share link with view tracking. Combining four signal types in one report eliminates the correlation error that occurs when APR, sentiment, and competitor data are read from separate tools with different measurement windows.
AI Hallucination Detection
Scans AI-generated content drafts for fabricated statistics, invented citations, and unsupported claims — flagging and replacing inaccuracies before publication, with a risk score and per-change log. The pipeline fetches the actual referenced source and runs a second LLM pass against it, catching fabrications that single-pass classifiers confirm as real because they only check plausibility, not ground truth.
Real-Time AI Mention Alerts
Notifies you when your APR hits a new high or drops significantly between measurement cycles, delivered via in-app inbox and email. Alerts are triggered by a delta against the previous cycle's weighted mean — not an absolute threshold — so a drop from 80% to 74% on a high-traffic prompt triggers the same urgency as a drop from 20% to 14%, regardless of your baseline.
AI Visibility Certificates
Get certificates based on verified AI Visibility results, proving that your work actually improved a brand’s presence across AI platforms.
What I promise you: very close communication about any new feature you want, as well as any bugs, problems, or questions you have. My goal is to make your experience — and ultimately your business — as successful as possible.
Let’s stay in touch. I’m here for you, and I’m always glad to hear your honest feedback.