How NiceCite works

NiceCite is an autonomous AI citation audit. A small crew of agents discovers your site, extracts what AI engines can read, scores six categories that map to how ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews actually pick sources, and ships a prioritized fix list plus a shareable report.

Every report separates measured facts (pulled from your live HTML) from AI-assisted recommendations (drafted by language models on top of those facts). You always know which is which.

Discover

Scout, our discovery agent, fetches robots.txt and sitemap.xml, follows internal links from your homepage, and selects the most representative URLs to audit. Crawl scope respects your plan's page limit and skips assets, login walls, and anything blocked by robots. Scout also records what it found at /robots.txt and /sitemap.xml so the final report can show provenance instead of asking you to take its word for it. Single-page apps render server-side or client-side; Scout uses a real browser context so it can read what AI crawlers actually see.

Extract

Sage, the extraction agent, parses each page's <title>, meta description, canonical tag, headings, body text, JSON-LD blocks (including those nested inside @graph or expressed as arrays), Open Graph and Twitter metadata, internal and external links, contact info, social profile URLs, and FAQ markers. Everything Sage finds is a measured fact, captured directly from your HTML. We flatten nested schema graphs so types like Organization, FAQPage, SoftwareApplication, BreadcrumbList, and WebSite are detected even when other parsers would miss them.

Score

Nova, the scoring agent, runs a deterministic six-category model: Answer Readiness, Entity Clarity, Schema & Structured Data, Trust & Citation Signals, Content Coverage, and Technical Accessibility. Each category is scored 0–100 with a fixed weighted contribution to the overall score. The weights and formula are public in this documentation and identical for every customer. We never tune the model per domain, per industry, or per plan tier. The same crawl snapshot will always produce the same score.

Recommend

Echo, the recommendation agent, converts findings into a prioritized fix list: Quick Wins (high impact, low effort), Strategic Improvements (high impact, medium effort), and Nice to Have (polish). Each item explains what is missing, why it matters for AI citations, the suggested fix, and which specific URL on your site it applies to. Recommendations cite the measured evidence they were generated from, so you can trace any suggestion back to the raw extraction.

Report

Vera writes the executive summary, AI engine readiness panel, per-category breakdown, evidence table, and shareable PDF. Every report has a public share/<id> URL and a downloadable PDF with a dark branded cover and light, high-contrast content pages. Premium accounts can white-label the PDF with their own logo and colors. Reports are immutable once generated — re-running an audit produces a new report rather than mutating the old one.

Generate Fixes

Premium plans unlock generated assets: rewritten homepage copy with citation-friendly phrasing, FAQ drafts derived from real user search intent, About-page copy that establishes entity clarity, and ready-to-paste JSON-LD schema (Organization, FAQPage, BreadcrumbList, SoftwareApplication) for the gaps Nova identified. Generation is powered by our model gateway and clearly labeled as AI-assisted output so your team knows where to apply editorial review.

Monitoring

Re-audit on demand or schedule monitoring runs (weekly or monthly) so you can see your AI citation readiness trend over time. Historical tracking shows score changes per category and per page, so you can tell whether your AEO work is actually paying off — and which fix moved which number. We keep your full audit history available on the History page for as long as your account is active.

Credits

Audits cost credits. Free accounts get a recurring monthly allotment so you can run real audits without a card. Paid plans add larger monthly allotments, deeper crawl limits, generated fixes, monitoring schedules, and white-label PDFs. Credits do not silently expire mid-month and you can see your usage at any time from the account page.

Data Integrity

Every report includes a What we checked panel listing the audited URL, the crawl timestamp, the number of pages reviewed, the robots.txt and sitemap.xml status, the schema block counts, and the model that drafted any AI-assisted text. Measured facts are pulled from your live HTML. AI-assisted text is labeled as such. We do not invent stats, backlink counts, citation counts, or rankings, and we do not whitelist our own domain or anyone else's.

Why scores change

Scores can move between audits for legitimate reasons: you shipped changes to the site, the sitemap or robots changed, a previously-cached page now renders different content, new schema appeared, or Scout reached a different set of representative URLs. The scoring formula is stable; what changes is the evidence on your live site. If a score drops, the per-category breakdown will tell you exactly which evidence changed and on which page.

What makes NiceCite different

Repeatable scoring — same locked page set, same score, every time.
Schema parser flattens @graph and array @type values so Organization, FAQPage, WebSite, SoftwareApplication, and BreadcrumbList are detected even when nested.
No fake stats. No invented backlinks, no fabricated citation counts, no whitelisting.
Per-engine readiness for ChatGPT, Perplexity, Gemini, and Google AI Overviews.
Shareable report links and branded PDFs for client deliverables.

See FAQ, check pricing, or run a free audit now.