Observation
A grid of 13 weekly refreshes across 5 engines, the cells that name the brand highlighted.
Repeated visibility, prompt coverage, share of voice and source evidence
Why the pattern exists
AI visibility reporting
One report brings prompt coverage, visibility, competitors, verified work, sessions and topic movement together, and keeps what you observed apart from what you can claim.
Illustrative client report for Northpeak on a tablet. AI visibility 11.0%, +4.2 pts vs the previous 90 days, rising across 13 weekly refreshes from 23 Jun to 15 Sep, with 7 verified wins marked on the trend. Prompts visible 22 of 57, tracked share of voice 4.2%, verified wins 7.
ILLUSTRATIVE · PRODUCT PREVIEW
Evidence before narrative
AI answers vary between runs, so one snapshot can make ordinary variation look like progress or decline. The report keeps what was observed, what the team did, what moved and what comes next as separate layers, and never claims that one action caused the movement.
A grid of 13 weekly refreshes across 5 engines, the cells that name the brand highlighted.
Repeated visibility, prompt coverage, share of voice and source evidence
Why the pattern exists
Verified win 3: Listed in “The 12 best CRMs for startups”, brightpathreview.com, verified 12 Aug.
Content changes, approved outreach, placements and recorded wins
That the action caused later movement
On 3 linked prompts, 6.1% in the 28 days before and 9.4% in the 28 days after.
Later changes in answers, sources, mentions, sessions or topics
A stable ranking or a single cause
Three choices, continue, investigate or stop, with continue chosen.
What the team should continue, stop, investigate or test next
A guaranteed forecast
Inside the report
Real screens from a live project, shown at a size you can read.


The report your client opens: AI visibility for the period with its weekly trend, a plain-English summary of what moved, and the headline numbers.
Engine-level reporting
Review ChatGPT against the same prompt set, period and competitor group used everywhere else in the programme, so an engine-level change reads alongside the wider picture.
Illustrative. Northpeak's AI visibility by engine for 23 Jun – 20 Sep 2026. Choosing an engine changes the figures; the scope stays the same: 57 tracked prompts, 5 competitors, the same period and weekly refreshes.
AI visibility
14.2%+5.9 pts
Prompts visible
19/57+10
Share of voiceTracked share of voice
5.1%+1.9 pts
ILLUSTRATIVE · PRODUCT PREVIEW
Work and movement
Verified content changes, listings, corrections and placements sit beside later visibility movement. The timeline shows sequence and context, and leaves room for everything else that may have moved the result.
Illustrative product preview. Northpeak’s AI visibility on tracked prompts across all engines, from 6.8% on 23 Jun to 11.0% on 15 Sep, over 13 weekly refreshes, with 7 verified wins marked on the same timeline. Select a win to compare the 28 days before it with the 28 days after.
Impact timeline
Win 3: Listed in “The 12 best CRMs for startups”
brightpathreview.com
3 linked prompts: 6.1% in the 28 days before, 9.4% in the 28 days after.
Other factors can move these prompts too.
Win 3: Listed in “The 12 best CRMs for startups”
brightpathreview.com
3 linked prompts: 6.1% in the 28 days before, 9.4% in the 28 days after.
Other factors can move these prompts too.
What the report connects
Each measure helps the reader understand progress, diagnose a gap or choose the next action.
How often the brand appears across the tracked prompt set and reporting period.
Which commercially meaningful buyer questions are represented in the measurement panel.
How brand presence compares with named competitors across the same defined scope.
Which approved actions or placements have been confirmed and recorded in the workflow.
Which pages and source patterns sit behind the observed answers and opportunities.
Where patterns changed across topic groups, engines or reporting periods.
Remeasurement
Use the same scope and evidence trail across reporting periods so each review leads to a clearer decision.
Set the prompts, engines, locations, competitors and reporting period before interpreting movement.
Review repeated visibility, prompt coverage and source evidence instead of relying on one answer.
Connect completed content, listings, corrections or approved outreach to the relevant opportunity.
Remeasure the same scope, inspect what moved and choose what the team should do next.
Reporting needs differ by organisation, but the standard stays the same: show what changed, show the work completed and be honest about what the evidence cannot prove.
Questions, answered
How to read the report without overstating the result.
A useful report defines the prompt and engine scope, shows repeated visibility and competitive context, keeps the source evidence, records completed work and explains the next decision.
Yes. White-label reporting is included on the Agency plan for teams presenting recurring client reports.
A verified win is a recorded action or placement that has been confirmed in the workflow. It appears alongside later visibility movement without being treated as proof of cause.
Yes. Engine-level views narrow the analysis while keeping the same measures: visibility, prompt coverage, share of voice, wins, sessions and topic movement.
Not by itself. AI answers vary and several factors can drive movement, so the report shows repeated evidence, completed actions, the uncertainty and the next test.
Your next signal
Get a free scorecard now, then compare plans for recurring reporting, source evidence and action tracking.
Repeated measurement reveals movement. It does not prove a single cause.