Track and Improve Your Brand's
Citation Rate Across AI Engines
Monitor whether ChatGPT, Perplexity, Google AI Overview, and Gemini are citing your brand and content. Compare your citation rate against competitors and get a step-by-step improvement plan to move from invisible to consistently cited.
Your Real-Time Dashboard for AI Search Visibility
AI citations are the new first-page ranking. AI Citation Hub gives you the data you cannot get anywhere else — your actual citation rate across all major AI engines, where you stand versus competitors, and the exact steps to improve.
- ✓Track your brand citation rate across all 6 major AI engines
- ✓See how competitors are cited for the same queries
- ✓Get a prioritised fix list that moves your citation rate in weeks not months
Three steps to citation hub results
Real example output from AI Citation Hub
Everything AI Citation Hub does for you
Cross-Platform Citation Tracking
Monitors your citation rate across ChatGPT, Perplexity, Google AI Overview, Gemini, Claude, and Bing Copilot — the complete AI search landscape.
Competitor Citation Comparison
Compares your citation rate against up to 4 competitors per query category — showing exactly where competitors dominate and where you can compete.
Signal Gap Diagnosis
Breaks down which of the 12 AI citation signals are passing and failing for your domain — schema, E-E-A-T, content format, entity recognition, and more.
Quick-Win Action Plan
Identifies the highest-impact improvements implementable this week — typically 6 to 8 schema and content actions that move citation rate meaningfully within 2 to 4 weeks.
Query Category Coverage
Shows which categories of queries your brand is and is not being cited for — revealing the content creation priorities with highest citation impact.
Weekly Progress Tracking
Retests your citation rate weekly and shows the trend — so you can see the direct impact of each improvement action on your overall AI search visibility.
Who uses AI Citation Hub
- ✓Get your baseline AI citation rate across all major AI engines
- ✓Understand where competitors are visible and you are not
- ✓Execute a structured improvement plan with measurable weekly progress
- ✓Add AI citation tracking to your standard SEO reporting stack
- ✓Deliver AI visibility reports as a premium client service
- ✓Demonstrate citation rate improvement tied to specific implemented actions
- ✓Report AI search visibility as a core marketing metric alongside organic traffic
- ✓Justify content and schema investment with citation rate improvement data
- ✓Track the AI search impact of PR, content, and brand-building campaigns
Without vs With AI Citation Hub
Frequently asked questions
about AI Citation Hub
An AI citation occurs when an AI engine includes your brand or content as a referenced source when answering a user query. As more users shift from traditional search to AI-assisted queries, brands without AI citation presence miss an increasingly large and high-intent audience. Citation rate — the percentage of relevant queries where your brand appears — is the primary metric for measuring AI search visibility.
AI Citation Hub uses direct API queries, structured testing protocols, and pattern analysis to evaluate citation rates across ChatGPT, Perplexity, Google AI Overview, Gemini, Claude, and Bing Copilot. For each domain, the tool identifies the highest-relevance queries based on your industry and content, tests these queries across each AI platform, and records whether your brand or specific pages are cited in the responses.
The six factors with the strongest correlation to AI citation rates are: entity recognition (whether AI engines recognise your brand as an established entity in your category), schema completeness (Organisation, FAQPage, and Author schema with full credentials), topical authority (whether your content covers the topic comprehensively), E-E-A-T signals, information gain (whether your content adds unique value), and structured answer formatting (content written in direct-answer format).
Schema additions like FAQPage and complete Organisation schema often show citation rate improvements within 2 to 4 weeks as AI engines re-crawl updated structured data. Content improvements targeting specific query categories typically take 4 to 8 weeks. E-E-A-T improvements such as adding complete author credentials show the slowest impact, typically 6 to 12 weeks.
Both. AI Citation Hub tracks citation rates at the domain level for overall visibility, and at the page level for your most important articles and landing pages. Page-level tracking shows which specific pieces of content are being cited and for which queries — so you can identify your strongest performers and replicate their signals across other pages.
Yes. Fully available on the free plan with 15 runs per month. Each run provides a full citation readiness audit, citation rate assessment, competitor citation comparison, signal gap diagnosis, and the complete gap-to-action fix plan.
AI Citation Hub tracks citations at both domain and page level. In the page-level view, you can see which of your URLs are cited for which query categories — identifying your top-performing citation assets. Sort by citation frequency to find your most valuable content, then use that data to inform your content strategy: replicate the format, schema structure, and content depth of your most-cited pages across other articles on similar topics.
A sudden drop in citation rate typically has one of three causes: a competitor published high-quality content on your strongest query categories, you updated content in a way that removed key citation signals (schema changes, heading restructuring), or an AI engine updated its citation selection patterns for your topic area. Run a competitor analysis first to check for new competitive content, then re-run your AI Article Optimiser on your top pages to verify all signals are still intact. The Citation Hub shows the trend so you can pinpoint when the drop occurred.
Yes. Entering industry leader domains (even if they are not direct competitors) alongside your own reveals the citation signal gap between your current implementation and best-in-class. This is useful for setting realistic improvement targets and identifying the highest-impact actions — if the industry leader has FAQPage schema on every article and you have it on none, this single gap likely explains a significant portion of the citation rate difference.
AI Citation Hub works for local businesses — tracking citation rates for locally-framed queries like best plumber in London or top accountant Manchester. Local citation tracking reveals whether AI engines recommend your business for local intent queries, which competitors are being recommended instead, and the specific signals (Google Business Profile completeness, local schema, review platform presence) that most influence local AI citations.