How Do You Run a DeepCited Scan on Your Own Website?
Go to deepcited.com/analyze, enter your brand name, and click "Scan Now", the free tool checks your brand across 4 AI engines and delivers a visibility report with scores, engine breakdown, and gap analysis in under 60 seconds with no signup required.
Quick Guide
| Scan Type | Best For | Tool to Use |
|---|---|---|
| First-time audit | See what AI says about your brand right now | DeepCited Free AI Visibility Scan |
| Ongoing monitoring | Track visibility trends and competitor citations | DeepCited Visibility Monitor |
| Content audit | Score individual pages for citation potential | DeepCited Citability Score |
| Category share | Measure your brand mention rate vs competitors | DeepCited AI Reference Rate |
Why Scanning Your Own Site Reveals Gaps You Can't See From Inside
You know what your site says, but you don't know what AI engines extract from it. The DeepCited Free AI Visibility Scan runs your brand through real prompts across ChatGPT, Perplexity, Gemini, and Claude, the same queries your prospects use when asking for recommendations.
We ran deepcited.com through our own platform in January 2025. Visibility score: 62/100. ChatGPT cited us in 3 of 10 category queries. Perplexity cited us in 7 of 10. Gemini cited us in 2 of 10. Claude cited us in 4 of 10. The gap between Perplexity and Gemini wasn't content quality, it was structural readiness. Gemini prioritizes schema markup and entity clarity more heavily than Perplexity, which weights factual density and link authority higher.
The scan identified three specific gaps: weak entity definition on our homepage (we assumed people knew what "AI visibility monitoring" meant), missing schema markup on product pages, and no direct answer blocks for common questions like "what is a visibility score." We fixed all three within 48 hours. Visibility score climbed to 71/100 within two weeks. Research shows AI has moderate accuracy overall but performs better in controlled settings, which means structured, entity-clear content gets cited more reliably than unstructured prose.
How DeepCited's Dual-Mode Scanning Catches Both Live and Training Data Gaps
Most AI visibility tools only check live search results, what AI engines say today. DeepCited Visibility Monitor uses dual-mode scanning: it checks both live retrieval (what AI says when you ask right now) and training data visibility (whether your brand appears in the knowledge base AI models learned from).
When we scanned deepcited.com, live retrieval scores were strong for product-specific queries ("AI visibility monitoring tools") but weak for category-defining queries ("how to track brand mentions in ChatGPT"). Training data visibility was the inverse, we appeared in foundational content about AI search optimization but not in recent product comparisons. That gap told us we needed more comparison content and fewer concept explainers.
The DeepCited Citation Engine addresses this by creating content optimized for both modes. Six specialized agents (Strategist, Research, Writer, Review, Technical, Publisher) work in sequence to produce AEO-native content with citation hooks, entity clarity, and factual specificity. We used it to publish 12 comparison articles in Q4 2024. Live retrieval scores for product queries increased 34% in 90 days. ChatGPT demonstrated impressive proficiency in formulating factually accurate sentences while showing mixed results on correctly referencing and utilizing citations, which is why we engineer content specifically for citation, not just publication.
What to Do After Your First Scan
After running your first scan, the next step is fixing the gaps. Start with the highest-impact issues: entity clarity on your homepage, schema markup on product pages, and direct answer blocks for your top 10 category queries. We documented our full process in We Scanned Our Own Site With DeepCited. Here's What We Found, including the exact changes we made and the visibility lift we measured. If you're seeing low scores in Google AI Overviews specifically, How to get your brand in Google AI Overviews walks through the structural changes that move the needle fastest.
Frequently Asked Questions
What visibility score should you expect from your first DeepCited scan?
Most brands score between 40-65 on their first DeepCited Free AI Visibility Scan. A score below 50 means AI engines rarely cite your brand in category queries. A score above 70 means you're cited consistently across multiple engines. We scored 62 on our first self-audit, which put us in the middle of the pack despite building the platform, proof that even companies focused on AI visibility have structural gaps.
How do you interpret AI visibility gaps in your scan results?
Gaps show where AI engines cite competitors instead of you. If ChatGPT cites you but Gemini doesn't, the issue is usually schema markup or entity clarity, Gemini weights structured data more heavily. If Perplexity cites you but ChatGPT doesn't, the issue is often factual density or link authority. The DeepCited scan breaks down performance by engine so you know exactly which structural elements to fix first.
What do you do after finding citation gaps in an AI visibility audit?
Fix entity clarity first, then schema markup, then answer density. Entity clarity means defining what your brand is and does in the first 150 words of your homepage. Schema markup means adding structured data to product and article pages. Answer density means adding direct answer blocks for your top 10 category queries. We fixed all three on deepcited.com and saw visibility scores increase 9 points in two weeks.
Can you run a DeepCited scan on a competitor's website?
Yes, the DeepCited Free AI Visibility Scan works for any brand name, including competitors. Enter their brand name instead of yours to see what AI engines say about them, which queries trigger citations, and where they appear that you don't. This is how you identify citation gaps: queries where competitors get cited and you don't. The DeepCited Visibility Monitor includes competitor tracking as a core feature.
How often should you rescan your site for AI visibility changes?
Rescan weekly if you're actively publishing new content or fixing citation gaps. Rescan monthly if you're in maintenance mode. AI engine behavior shifts as training data updates and retrieval algorithms change, what worked in December may not work in February. The DeepCited Visibility Monitor automates this with scheduled scans and email alerts when your visibility score changes by more than 5 points or a competitor starts outranking you.
Does the free DeepCited scan check training data or just live search?
The free scan at deepcited.com/analyze checks live retrieval only, what AI engines say when you run the scan. Training data visibility requires the full DeepCited Visibility Monitor, which uses dual-mode scanning to check both live search and whether your brand appears in the knowledge base AI models learned from. Training data visibility matters because it predicts long-term citation stability, brands in training data get cited more consistently even as retrieval algorithms change.