The last mile between good data and a decision.
Citationly turns its AI search analytics into reports people actually read: executive summaries for leadership, detailed exports for analysts, and scheduled deliverables for clients.
Insight that never reaches the meeting changes nothing.
Most measurement programs do not fail at data collection. They fail at the last mile. The analyst has the numbers, the dashboard has the charts, and yet the Monday leadership meeting still runs on a hastily assembled slide deck of screenshots, rebuilt by hand every reporting cycle.
For AI search, the last mile is even harder. The channel is new, so every report also carries an education burden: executives need the metric explained before they can read the trend. Agencies feel it doubly, needing client-facing reporting that looks professional without consuming the retainer hours it is meant to justify.
The hidden cost is credibility. When numbers are copied manually between tools and decks, they drift, and one caught inconsistency in a board meeting can undo a quarter of measurement work. A channel fighting for budget cannot afford reporting that undermines its own case.
Reporting that comes from the data, not from screenshots.
Citationly reports are generated directly from the platform's AI search analytics layer. The Share of Voice figure in your executive summary is the same figure in the dashboard and the same figure in the raw export, because all three are views of one governed dataset. Nothing is retyped, so nothing drifts.
On top of that foundation, the reporting module handles the formats real organizations need. Executive summaries compress a period's visibility, share, and competitive movement into a page leadership reads in two minutes. Detailed reports give analysts the segment-level depth behind every headline. Scheduled delivery puts the right version in the right inbox without anyone assembling it. The result is that AI search reporting stops being a recurring production task and becomes a byproduct of measurement that is already running.
Six ways your data becomes someone's report.
Executive Summaries
Auto-generated period summaries covering visibility position, Share of Voice movement, and notable competitive shifts, written for readers who will not open a dashboard. Leadership stays informed at the cost of zero analyst hours per cycle.
Scheduled Report Delivery
Weekly, monthly, or quarterly reports delivered automatically to defined recipients in their preferred format. Reporting cadence survives busy weeks, keeping the channel visible in every cycle that budgets are discussed.
Competitive Position Reports
Dedicated competitor intelligence reporting: head-to-head movement, wins and losses, and notable rival activity for the period. Competitive awareness reaches decision makers on schedule instead of surfacing only when something breaks.
Client-Ready Reporting
White-label report formats agencies deliver under their own brand, per client, from one account. Retainer reporting that once consumed billable hours becomes an automated deliverable clients rate highly.
Custom Report Builder
Configurable reports assembled from any metric, segment, or comparison in the platform. Every stakeholder, from the CMO to the content lead, gets a report shaped to their actual decisions.
Exports and Integrations
Structured exports and connections that carry data into BI tools, spreadsheets, and existing reporting environments. AI search metrics take their place beside web and pipeline data in the reports your company already runs on.
From configuration to a finished report.
Five steps, and only the first one takes any manual effort.
Reports are configured once
Audiences, metrics, cadence, and format are defined per report.
Data flows from the analytics layer
Every figure derives from the same governed dataset the dashboards use.
Generation runs on schedule
Summaries and detailed reports assemble themselves at the cadence you set.
Delivery happens automatically
Recipients get their version by email or shared workspace, on time, every cycle.
Drill-down stays available
Every reported number links back to the underlying data for anyone who wants the detail.
What changes when reporting stops being a project.
Analyst time returns to analysis
Hours spent assembling decks go back into interpreting results and planning responses.
The channel stays on the agenda
Reliable cadence keeps AI visibility in front of leadership every cycle, which is how experimental channels become funded ones.
Numbers stop drifting
One data source behind every format ends the reconciliation problems that erode trust in a metric.
Agencies scale reporting with clients, not headcount
Ten clients or fifty, the reporting workload stays flat.
Institutional memory builds
Archived report history, including brand monitoring findings and their resolutions, becomes the documented record of the program.
Reporting built for the reader, not the platform.
One source of truth, every format
Dashboard, summary, and export always agree, because they are the same data rendered three ways.
Written for the reader, not the tool
Executive formats respect executive attention spans; analyst formats respect analyst depth. Few platforms manage both.
Agency economics built in
White-label multi-client reporting is a first-class capability, not a workaround.
Reporting that compounds
Archived history turns each cycle's report into part of a defensible long-term record of the program's value.
Make your next AI search report generate itself.
Run a free analysis, and your first executive summary can be in front of leadership this week: your visibility, your Share of Voice, and where you stand against competitors, on one page.