Customer Journey Phase Progression
Track how often a brand appears in AI responses over time — and whether that visibility is growing, shrinking, or steady.
Quick start
1. Select a project from the global filter bar
2. Set the date range to
3. Review the three lines — Awareness, Consideration, and Decision
4. Switch Provider Depth to
5. Hover over any point to see the exact visibility percentage for that date
Understanding the display
The chart plots visibility percentage on the vertical axis and date on the horizontal axis. Higher values mean the brand appeared in a greater proportion of AI responses on that day. Each line represents one stage of the buyer journey.
The three phase lines
Visibility is split across three journey phases, each tracking a different type of search intent:
| Phase | Query type | What it signals |
| Awareness | Early-stage research queries | Brand is discoverable at the start of the journey |
| Consideration | Comparison and evaluation queries | Brand features in shortlists and comparisons |
| Decision | Purchase-intent queries | Brand appears when buyers are ready to act |
What the percentage means
Each data point shows the percentage of AI queries run that day where the brand was mentioned. A reading of 75% means the brand appeared in 75 out of every 100 AI responses checked. Days without data appear as gaps in the line.
Line colours
| Colour | Phase |
| Pink / Red | Awareness |
| Dark Blue | Consideration |
| Light Blue | Decision |
Annotations
Vertical dashed lines mark dates that have been annotated — product launches, content updates, algorithm changes, or any other relevant event. Labels appear above the line. Click a label to delete the annotation.
What should I do next?
Use the pattern across the three lines to decide where to focus:
| What you see | Action |
| High visibility (60%+) across all phases | Maintain the current approach and monitor for drops |
| High Awareness, low Decision | Review Decision-stage content — the brand attracts attention but struggles to convert at the point of purchase |
| Low Consideration relative to Awareness | Strengthen comparison and evaluation content so the brand features in shortlists |
| Low visibility across all phases | AI platforms are not citing the brand frequently — review content depth, authority signals, and coverage of key topics |
| Declining trend across phases | Investigate recent content changes or competitor activity that may have displaced rankings |
| Rising trend | Identify what changed recently and replicate it across other content |
| Visibility varies significantly by phase | Focus effort on the lowest-performing phase first |
Provider depth
Provider depth controls which mentions count towards the visibility score. Three options are available:
| Setting | What it counts |
| Mentioned Anywhere (default) | Any appearance of the brand in the AI response, regardless of position |
| Top 3 Recommendations | Brand appears as one of the top three options the AI recommends |
| #1 Recommendation | Brand is the single primary recommendation |
Switching from Mentioned Anywhere to Top 3 Recommendations typically reveals a lower but more meaningful visibility figure. A brand mentioned as an afterthought scores differently from one the AI actively recommends.
Using the filters
All filters are controlled from the global filter bar. The chart updates automatically when any filter changes.
Date range
| Option | Best for |
| 7 Days | Checking the impact of a recent change |
| 30 Days (default) | Standard trend analysis |
| 90 Days | Identifying longer-term patterns |
| 180 Days | Strategic review across a full campaign cycle |
| Custom | Comparing a specific period — useful around campaigns or product launches |
Platform
Filter to a specific AI platform or view all tracked platforms together. When reviewing a single platform, visibility figures reflect that platform only rather than an aggregate across all sources.
Phase
Show all three journey phases simultaneously, or isolate one to reduce visual noise. Isolating Decision phase, for example, gives a cleaner view of purchase-intent visibility over time.
Configuration
If the project tracks multiple keyword sets or configurations, this filter scopes the chart to one. Useful when different teams or campaigns use separate tracking configurations within the same project.
Adding annotations
Annotations mark significant dates directly on the chart, making it easier to correlate visibility changes with known events.
6. Click anywhere on the chart area at the date to annotate
7. Enter a label in the popover that appears
8. Press Enter or click
The annotation appears immediately as a dashed vertical line. Click the label at any time to delete it. Annotations are scoped to the current project and configuration.
Troubleshooting
No data displaying
The chart requires a project to be selected. If a project is selected but data is still absent:
• Expand the date range — the tracking period may predate the current selection
• Check that the selected configuration contains tracked keywords
• Try setting Platform to All and Phase to All to rule out over-filtering
Visibility flat at 0%
A flat zero line means the brand was not mentioned in any AI responses during the period. This is distinct from missing data. Review AI visibility strategy — content authority, topic coverage, and how prominently the brand features on key topic pages are common contributing factors.
A phase line is missing
If one phase line does not appear, that phase may have no queries configured in the selected project or configuration. Check the project setup to confirm all three phases are included in the tracking configuration.
Chart shows a message instead of data
The message will indicate whether the issue is a missing project selection, a date range with no data, or a loading error. Follow the instruction in the message, then retry.
FAQ
Why does visibility differ between phases?
Each phase tracks different types of queries. AI platforms respond differently to early-stage research questions versus purchase-intent questions, so visibility naturally varies across phases.
What counts as a mention?
The brand name appears in the AI response — whether as a recommendation, comparison reference, or contextual mention. Provider Depth controls whether all mentions count or only prominent ones.
How often does data update?
Data updates when AI queries are run as part of the project's tracking schedule. The frequency depends on how the project is configured. Contact support if updates appear to have stalled.
Can the chart compare the brand against competitors?
This chart shows brand visibility only. Competitor comparison is available in other AI Visibility features within the platform.
Why does the line continue through days with no data?
The chart connects data points across gaps to maintain a readable trend line. This is visual continuity only — no data is interpolated or estimated for missing days.
Getting help
• Adjust filters first — most display issues resolve by broadening the date range or clearing phase and platform filters
• Check that the project's tracking configuration includes all three phases
• Contact support for issues with data gaps, missing configurations, or unexpected zero visibility