DeepCited Product

Turn AI visibility gaps into measurable citation growth.

DeepCited combines Visibility Monitor and Citation Engine into one operating loop: find where AI engines skip your brand, publish content built to earn citations on a hosted server-rendered blog or your own CMS, then verify improvement on the same queries.

5 AI engines tracked · No credit card · Baseline in ~60 seconds

Monitor

Track where ChatGPT, Perplexity, Gemini, Google AI Overviews, and Claude mention you, miss you, or cite competitors instead.

Create

Generate citation-focused pages from real gap data, then publish them on a hosted server-rendered blog or hand them off to your existing stack without a second workflow.

Verify

Re-scan after publish and measure whether your brand moved into AI answers on tracked opportunities.

How the loop works

From missing mention to verified citation.

Most teams stop at dashboards. DeepCited closes the execution gap by connecting visibility intelligence to publishable content, a real publishing layer, and post-publish verification.

Monitor

Find where your brand is missing

Create

Publish content built for citation

Verify

Measure gains on the same queries

After verification, new opportunities feed back into monitoring to keep the loop compounding.

Step 1

Find the gap

Visibility Monitor flags high-intent queries where AI engines recommend competitors or omit your brand.

Step 2

Choose what to fix first

Opportunities are ranked so your team starts with gaps most likely to impact pipeline and category share.

Step 3

Produce citation-ready content

Citation Engine turns each selected gap into brand-aligned content engineered for retrieval, citation, and fast publishing on a hosted blog or your existing stack.

Step 4

Measure the lift

After publishing, DeepCited re-checks the same queries so you can confirm movement with before/after visibility evidence.

The system by stage

Each stage has a distinct job, owner, and measurable outcome.

Monitor

See what AI engines currently say about your brand

What it does
Scans major AI engines, tracks mention and citation patterns, and surfaces query-level blind spots.
Who it's for
Teams that need decision-grade visibility data before investing in more content.
Outcome
A clear baseline of where you are present, absent, and losing share.
Explore Visibility Monitor

Create

Turn gaps into content built to be cited

What it does
Uses a multi-agent pipeline to produce gap-driven content with retrieval structure, citation hooks, brand-safe voice, and a built-in publishing path.
Who it's for
Teams that need high-output content tied to specific visibility opportunities.
Outcome
Publish-ready assets designed to increase citation probability on priority queries, with hosted publishing, CMS handoff, and review workflow already handled.
Explore Citation Engine

Verify

Prove impact after publication

What it does
Re-runs monitoring after content ships and compares outcomes against the original baseline.
Who it's for
Teams that need measurable evidence, not assumptions, to guide iteration.
Outcome
Documented before/after progress that shows what moved and what still needs work.
See how verification works

Publishing Layer

DeepCited ships the page, not just the draft.

The hosted publishing layer deserves a real place in the product story because it closes the operational gap. You are not just producing drafts. You are moving from query gap to a live page on a hosted server-rendered blog or your existing stack without a separate publishing project.

Hosted blog included

Use the hosted, server-rendered blog when you want the fastest path from insight to live page.

Your existing stack still fits

If your team already has a publishing workflow, DeepCited can hand off the finished asset by webhook instead of forcing a platform migration.

Review and publishing stay in one workflow

Metadata, slugs, formatting, and review flow are handled inside the product so teams are not moving drafts between tools.

Why Server Rendering Matters

Better publishing mechanics create better marketing outcomes.

This is not server-side rendering for its own sake. It is a practical advantage for teams that want pages live quickly, structured cleanly, and easier for engines to fetch, parse, and cite.

Live pages are ready from the first request

Server-rendered pages give engines a complete document immediately, which makes the publishing path cleaner for crawling, retrieval, and citation.

The gap-to-live path is shorter

The hosted blog removes the usual queue between “we found a gap” and “the page is live,” which matters when AI answers are changing quickly.

Technical structure ships with the page

Titles, descriptions, canonicals, schema, and content hierarchy ship as part of the publishing workflow rather than as follow-up implementation work.

Verification stays connected to publishing

Because publishing is part of the same loop, DeepCited can connect the shipped page back to the prompts and re-checks that prove whether it moved anything.

Stop guessing how AI sees your brand.

Start with a free scan, identify the gaps that matter, and run a closed-loop workflow that turns visibility insights into publishable pages, clean CMS delivery, and verified citation gains.

Start with data. Ship with confidence. Verify with evidence.

Citation Engine

No sales call required to get your baseline.