AI visibility and rank tracking
ranktracking.ai shows how your brand appears in AI answers. Track AI visibility, brand mentions, cited sources and competitor presence across ChatGPT, Gemini, Google AI results, Grok and Perplexity.
AI mentions
See when your brand is named, recommended or omitted.
Rank movement
Compare prompt-level position across AI platforms.
Source tracking
Find the pages AI systems cite for your category.
AI Visibility Dashboard
example.com · last run 14 minutes ago
Visibility
74
+12 since last run
Mentions
38%
across tracked prompts
Sources
19
citation URLs found
Track visibility across major AI answer engines
What the tool measures
Traditional rank tracking tells you where a URL sits on a search results page. AI tracking needs a wider view: whether the brand is mentioned, how it is described, which sources are cited and which competitors are recommended instead.
Monitor the prompts that matter to your market. Compare your position, mention rate and visibility score over time instead of relying on one-off manual checks.
Turn scattered AI answers into a reporting layer for SEO, content and leadership teams. Track what improved, what declined and where content gaps appear.
See whether AI systems recommend your brand, mention competitors or cite sources that shape buying decisions before users reach your website.
How teams use it
AI answers are often built from a small set of sources. ranktracking.ai helps you understand which pages and publications influence those answers so your content strategy can target the missing evidence, comparisons and entity signals.
Track AI visibility next to search rankings and identify topics where content is not cited.
Report brand share of voice in ChatGPT, Gemini and Google AI results across multiple clients.
Monitor product recommendations, category prompts and competitor mentions.
Know whether your brand is visible when buyers ask AI tools for alternatives and shortlists.
Workflow
01
Add commercial, comparison and brand prompts that reflect how users ask AI tools for recommendations.
02
Collect answers across supported platforms and markets with repeatable tracking instead of manual screenshots.
03
Use mention, citation and competitor data to update pages, build content and measure visibility gains.
AI visibility signals
A useful AI rank tracker needs more than a single position number. AI answers can mention a brand without recommending it, cite a competitor while ignoring your source, or describe the product in language that no longer matches your positioning.
ranktracking.ai keeps those signals together, so content and SEO teams can see whether a visibility change came from prompt coverage, citation quality, answer sentiment or competitor pressure.
From tracking to content strategy
AI visibility data becomes valuable when it leads to specific content decisions. If a prompt returns competitors but not your brand, the answer may need clearer entity signals, stronger comparison content, updated product pages or better third-party evidence.
Use missing citations and weak answer descriptions to update product, category and comparison pages with clearer claims, proof and use cases.
Find prompt groups where AI systems understand the market but do not connect your brand to the topic strongly enough.
Track visibility over repeated runs, so teams can separate meaningful changes from one-off answer variation.
Pricing
Use the free plan to validate AI visibility tracking, then add more prompts, projects, platforms and countries as reporting needs grow.
Free
Validate AI tracking with one project.
Go
For brands tracking core AI visibility.
Plus
For agencies and teams running broad monitoring.
Latest articles
11.06.2026 · 18 min read
Learn how to build prompt sets for AI rank tracking: choose buyer-real prompts, group them by intent, lock conditions across answer engines and prune noisy prompts.
09.06.2026 · 18 min read
Learn a practical Gemini tracking workflow for monitoring brand mentions, competitors, citations, recommendations and answer evidence in Google Gemini.
06.06.2026 · 16 min read
Learn when AI Visibility should be measured as a trend, when a snapshot is enough, and how to compare movement without hiding volatility, prompt changes or weak denominators.