Where are we already showing up?
See recommendation share by engine, query cluster, and page type so the baseline is obvious.
DeepCited gives marketing and content teams one place to monitor recommendation share, turn weak spots into citation-ready pages, and verify the lift across the engines that now intercept demand.
Engines tracked
5
Prompts reviewed
184
Weekly wins
17
Weekly command view
Visibility score
74
The biggest gains are coming from answer-first comparison pages and category explainers with stronger proof blocks.
This week
Next moves
Updated 2h ago
Compare page slipped in Google AI
Refresh proof block
Perplexity is lifting on category prompts
Expand cluster now
New FAQ opportunity detected
Queue for content plan
Questions teams need answered
DeepCited helps teams see where AI is already helping, where competitors are winning, what to publish next, and whether the last wave changed the answer.
See recommendation share by engine, query cluster, and page type so the baseline is obvious.
Understand the missing moments with prompt context, not just a single headline score.
Turn each gap into a brief, a content plan, and a page that has a real reason to exist.
Re-scan the same prompts and verify lift on the surfaces that shape demand now.
Platform loop
DeepCited works as one connected system. Monitoring gives context, creation turns that context into a page, and verification proves whether the page changed the recommendation set.
Monitor
Track how ChatGPT, Perplexity, Gemini, Claude, and Google AI answer category questions about your brand.
Create
Move from “we should publish something” to a concrete, hosted content asset tied to a specific visibility opportunity.
Verify
Give the team proof that content changed the recommendation set, not just more pages in the library.
Working outputs
The value is not another dashboard. It is a weekly brief, a query-tied content queue, a cleaner report, and a calmer operating cadence.
Weekly brief
Priority shifts
Perplexity is citing the new comparison page on “best ai visibility tools.”
Google AI dropped the brand explainer from two tracked prompts.
The FAQ cluster is the fastest route to reclaiming category coverage.
At a glance
Content queue
Comparison guide refresh
best ai visibility tools
FAQ cluster
how to get cited in ai answers
Category explainer
ai search monitoring
Report surface
Visibility score
Up from 68 last cycle
Recommendation share
Comparison prompts lead growth
Verification trend
Lift across tracked cluster
Operating rhythm
See the loop in one pass, then go deeper on the page that matches your role.
01
Start with a free visibility scan or a tracked query set. The system captures what major AI engines answer right now.
02
Look at gaps, competitor mentions, and emerging opportunities in one place. See what deserves attention this week before the backlog sprawls.
03
Turn a prompt into a brief, a content plan, and a live server-rendered asset instead of another vague backlog item.
04
Re-run the same prompts and keep the reporting loop grounded in movement, not assumptions.
Next steps
Start with the overview for the full system, the free scan for your own baseline, the tools for narrower workflows, or the comparison page for category context.
Platform
Start with the product overview if you want the monitor, engine, and verification loop in one pass.
View platform overviewFree Scan
Use the free visibility scan when you want to experience the product through your own domain and prompts.
Run a free scanFree Tools
Use the tool stack when you want targeted grading and utility pages before committing to the full platform.
Browse free toolsCompare
Use the comparison view if you are evaluating DeepCited against monitoring-only tools or general AI writers.
Read the comparisonStart with signal
DeepCited shows where AI is already shaping buyer demand, what to fix next, and how to measure lift. The fastest way in is still the free scan.