Roman shows where your brand appears, which competitors win, and writes the content and page refreshes that win the answer.

Roman tracks competitor mentions, citations, sentiment, prominence, and share of voice over time — across every major answer engine.
See which pages, competitors, review sites, forums, and third-party sources shape AI answers — so you know exactly what to earn, refresh, or outrank.
Roman turns AI visibility gaps into articles, refreshes, citation opportunities, and content updates — queued, prioritized, and ready to draft.
Weekly Agent actions from completed AI visibility runs, merged when the same issue keeps appearing.
Folk is invisible on all 5 providers for two high-intent feature prompts — best CRM for early-stage startups and CRM with built-in automation — while HubSpot, Pipedrive, Attio, and Salesforce are cited. These prompts map directly to Folk’s core capabilities; the gap is a content and crawlability problem, not…
For prompts where your brand is missing and competitors own the answer.
For prompts where AI cites outdated, thin, or weak pages.
For prompts where buyers compare you with a competitor.
For prompts shaped by third-party lists, reviews, forums, or external sources.
Roman uses your product, competitors, positioning, and internal insights to create stronger pages — then publishes them to your CMS in one click.
Track visibility, citations, share of voice, and Search Console movement after updates go live — so every page you ship is tied to a result.
Roman tracks AI responses from the actual AI search surfaces people use, not just clean API outputs.
This matters because buyer-facing answers can differ from model APIs. Roman is built to monitor what shows up in real AI experiences, so your visibility data is closer to what prospects actually see.
Roman tracks visibility across major AI answer engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews.
You can see where your brand appears, where competitors show up, and which sources are shaping the answer.
You can add your own prompts, or Roman can suggest them from real audience signals.
Roman can surface questions from Google Search Console queries, Reddit discussions, your product category, competitors, and buyer intent. This helps you track prompts that are closer to what people are actually asking, not just generic AI-generated questions.
Roman turns gaps into actions your team can review.
That may include creating a new article, refreshing an existing page, improving a comparison page, strengthening a cited source, or building content around a prompt cluster.
AI answers can change, so Roman tracks movement over time instead of treating one answer as absolute truth.
You can monitor trends across prompts, competitors, providers, citations, and previous runs to see what is consistently changing.
See the prompts, competitors, citations, and content actions that matter for your category.