A good AI Visibility report shows period, data basis, visible signals, open limits, actions and rechecks. It does not replace proof with invented testimonials and it does not guarantee AI recommendations.
Product tour
These frames connect the public promise to the actual workflow: observed answers, source evidence, actions, rechecks and reports.
Report frame 01
The report separates technical delivery, observed answers, source status and recheck results. Reporting becomes a traceable work record.
Counters Otterly/AthenaHQ-style reporting: Beconova shows the evidence chain behind the snapshot.
Report frame 02
Each snapshot states the period, providers, prompts and data basis included. What was not measured stays visible.
Reduces legal and trust risk: the report proves observations, not guaranteed AI outcomes.
Report frame 03
The report ends with open gaps, prioritized actions and recheck status so the agency or customer knows what happens next.
Makes Beconova stronger than export-only tools: the report leads back into the Proof Loop.
Report Proof Loop
Reports evidence is not just an export screen. The report connects Evidence Ledger, Snapshot Boundary, sample size, confidence, Action/Recheck and the next proof surface.
Shows where Response Snapshot, Source/Citation Evidence and Proof Timeline are created in the dashboard.
Explains which work follows from the finding and how the next state is checked again.
Leads to the monitoring page for Response Snapshots, Sources, Competitors and confidence.
Report content
Customers and agencies need to see which data went into the report and what was not measured.
The report stores a state instead of being reconstructed differently from live tables later.
Scanner, feeds, crawler signals, visibility runs, actions and rechecks are kept as separate sources.
The report states which providers, regions, prompts or data were not included.
Evidence
Evidence means observable technical or measurable signals. It does not create a guarantee, but it makes the current state traceable.
Status, validation, hashes, last build and reachable endpoints explain delivery.
Server-side access, bot name, feed type, IP state and hash state show observable access.
Answers, sources, mentions, competitors and share of voice are documented as measurement data.
Workflow
The report is the result of data, delivery, hashes, measurement and actions, not just a nice export.
Define data sources and period.
Document delivered feeds, validation and served hashes.
Classify bot, crawler or snippet signals as technical evidence.
Measure AI answers, mentions, citations and competitors.
Add actions, rechecks and open limits.
Store snapshot and output the report with data basis, results and next steps.
Informationsgrenze
The page must build trust without overstating the product legally or technically.
No. Reports document account or audit data. Case studies would be customer success stories and are not invented.
Because live data changes. A snapshot makes clear which state was exported.
No. It can document technical delivery, measurements, findings and tasks. External AI providers decide on usage and presentation.
The report should explain what is measurable, what is open and which task makes sense next.
View pricing