How to use every feature
Short, practical guides to each workflow and feature, plus the core concepts behind our measured scores. Every guide covers what it is, when to use it, and the exact steps.
The six workflows
Analyze: see what is happening
Run a measured analysis of a site to get its Visibility Score, pillar breakdown, findings, and a ranked action plan.
Read guideBuild: create the assets AI needs
Generate the on-page assets that make a site readable and citable by AI engines, from measured gaps.
Read guideOptimize: improve your highest-impact gaps
Work your ranked opportunities and internal-linking suggestions, biggest measured win first.
Read guideRestore: recover an aged or migrated domain
See the visibility value a site has lost against its own historical peak, so you can recover it.
Read guideMonitor: track what changed
Watch your pillars over time, read a plain-language What Changed feed, and set drift alerts.
Read guidePublish: deploy and share your results
Open a shareable, printable report, generate a white-label version for a client, or schedule email delivery.
Read guideFeatures
Internal linking suggestions
Get deterministic, provenance-stamped suggestions for which of your pages should link to which.
Read guideSource Trust: which sources AI engines are citing less over time
The direction of each cited source's share, read across every answer we have stored rather than from a single lookup.
Read guideChecklist vs Citations: does the on-site score actually predict anything
Your on-site readiness score next to whether AI engines actually cited you, with the sample size behind both.
Read guideVendor Reputation Probe: what AI says about a company before you pay them
Put four neutral questions about any vendor to each AI engine and read exactly what came back, with the sources it cited.
Read guideVendor Check: did the agency you hired actually move anything
Pick the date a vendor or campaign started and test whether your measured AI visibility genuinely changed since.
Read guidePage Audit: on-page check for any single URL
Audit any live page's on-page and AI-readability signals in one click, including pages that are not yours.
Read guideAnswer Share: are AI engines citing you
See how often an AI answer engine cites your site as a source, with confidence bands and sample sizes.
Read guideAI Overviews tracker
Check whether Google shows an AI Overview for your keywords, and whether it cites your site.
Read guideBacklink and authority checker
Measure referring domains and authority from a real backlinks vendor, folded into your score.
Read guideAction Queue: track fixes to done
Accept a recommendation and track it from proposed to done, verified by re-measurement.
Read guideWhite-label client reports
Present your measured reports under your own agency brand: your logo, your color, your name.
Read guideAI Prompts: the questions we test
Curate the buyer questions we ask AI engines when measuring your Answer Share.
Read guideFact Sheet: tell us what is true about you
Record your ground-truth facts so we can measure when an AI engine states something wrong about your business.
Read guideWhat AI actually quoted
The exact sentences AI engines lifted from your pages, with the engines that used them and how prominently they ranked.
Read guideWhat Changed, and why
A measured diff between your last two runs, with the cause named whenever we measured it on both sides.
Read guideThe single biggest gap
One line at the top of your report naming the largest measured hole and the highest-impact next move.
Read guideWhat AI crawlers actually did
Real AI-crawler hits reported by your own server, checked against what your robots.txt says those crawlers may fetch.
Read guideCitation yield by content provenance
Split your measured citations by which sections of your site are auto-published and which are earned, so you can see whether generated pages actually get cited.
Read guideYour biggest citation gaps
The prompts you are most absent on, ranked by how many sampled answers came back without you.
Read guideHow we measured this
A standing per-pillar checklist of the exact checks behind each score, on Analyze, Monitor, Optimize and the shareable report.
Read guideTargets: the score you are aiming at
Set a goal for any pillar and see it beside the measured baseline, with the distance still to go.
Read guideSaved report versions
Freeze a report as a dated snapshot that re-opens exactly as it was, however far the live measurements move afterwards.
Read guideBrand profile: the space you want to be found in
Enter the topics and products you want to be found for, and your automatic prompt set starts asking about your space rather than only your name.
Read guideClient and portfolio portals
A read-only branded page of measured results you can hand a client, for one site or your whole book, optionally served from your own hostname.
Read guideYour AI fact page
A ready-to-publish /ai-info page generated from your verified facts, plus proof of whether AI crawlers have actually fetched it.
Read guideThe free checkers
No-signup checks at /tools: a robots.txt tester for every named AI crawler, plus llms.txt, sitemap, and server-render checks.
Read guideThe public status page
Measured success rate and latency for every engine we sample, published openly at /status.
Read guideWhere the engines look when they answer about you
The exact third-party pages AI engines pulled from while answering your prompts, ranked by how often they came back to each one.
Read guideTracked keywords and rank history
Track a keyword set per site, re-check its Google position on demand, and keep every reading as history.
Read guideSite audit: technical issues by page
A crawl of your site that lists the technical problems holding pages back, ranked by how much they matter.
Read guideMigration grade: did the move keep your visibility?
Mark a site migration, then get a measured before-and-after grade instead of a hopeful guess.
Read guideDid an AI crawler actually read your published files?
Join the llms.txt and robots.txt you published to the named AI crawlers we observed fetching them.
Read guideCore concepts
Query fan-out: the sub-questions behind one question
AI answers break your question into sub-questions, and the one you win decides which answer cites you.
Read guideYour Visibility Score and the seven pillars
The composite score is built from seven measured pillars, and it holds until enough of them are real.
Read guideProvenance: why every number opens to its evidence
Every score carries its source, confidence, and evidence, and you can open any number to see the receipt.
Read guideWhy your score is sometimes held
We refuse to show an overall score until enough of its pillars are genuinely measured.
Read guideCitation vs mention
Being named in an answer is a mention. Being returned as a source is a citation. We count citations.
Read guideAnswer accuracy: when AI gets you wrong
The two-sided view of AI visibility: presence gained on one side, incorrect-mention risk on the other.
Read guideReadable vs Cited
Two different questions, measured separately: can an AI engine read your page, and does it actually cite you?
Read guideDrift: when a score moves more than its own history explains
We compare each pillar against its own history, and only against runs that are genuinely comparable to it, so an alert means real movement rather than a number crossing an arbitrary threshold.
Read guideThe rank-vs-answer gap
Your Google position and your measured AI citation rate for the same query, as one fact, in four states.
Read guideHow accurate is the detector itself?
The published precision and recall of our own brand-mention detector, including the cases it gets wrong.
Read guideYour account & sites
Managing your sites
Add, switch between, and manage the sites you measure, within your plan's limit.
Read guideClients and multi-site management
Manage many client sites from one place, the foundation for agency white-label delivery.
Read guideScheduled reports and alerts
Have measured reports emailed on a cadence, and get alerted when a measured number moves.
Read guideThe free AI visibility audit
A no-sign-up, measured audit of any site's on-page AI readiness, with the evidence behind every check.
Read guideWhat a measured run costs
Before you trigger a paid measurement, we show what the last runs of that action actually cost on your site.
Read guideAPI keys, MCP, and the partner data API
Read your measurements programmatically: an org API key, a read-only MCP server for AI assistants, and a partner data API for your own dashboards.
Read guideRefer and earn
Share a link, and earn a share of what the people you refer pay for their first three months.
Read guideTechnical documentation
REST API and CSV export
Programmatic access to your measured data, with the same provenance fields the dashboard shows.
OpenMCP server
Query your measured visibility from Claude, Cursor, and other MCP clients.
OpenMethodology
How every number is produced: engines, sampling, intervals, and what we refuse to report.
OpenMetric definitions
What each number IS: what counts, over what denominator, versioned and dated.
OpenInstrument changelog
Every change to the measurement instrument, dated, so trends can be read across versions.
OpenThe measured noise floor
How much our own numbers wobble when nothing happened, per engine, published.
Open