Example dashboard
Lumen Pay
Static rendering of the dashboard layout we deliver on AI Search Growth retainers. Every figure is sample data; the calculations behind them are real.
AI Search Visibility
Six-month trend
Weights are published: 40% mention rate, 35% citation rate, 15% position, 10% share. Never reported without its components.
By answer engine
Reported per engine rather than averaged. An average across engines hides the disagreement that matters — here, one engine names Lumen Pay half the time and another almost never.
Share of AI visibility
Share of every vendor mention across the probe set. Competitor names are fictional.
Query tracking
| Query | Engine | Named | Pos. | Cited | Competitors |
|---|---|---|---|---|---|
| Best payment platform for SaaS companies | ChatGPT | Yes | 4 | own page | Northgate Pay, Payflow, Veritas Pay +1 |
| Best payment platform for marketplaces | ChatGPT | No | — | — | Northgate Pay, Veritas Pay, Payflow +1 |
| Northgate Pay alternatives | ChatGPT | Yes | 3 | own page | Northgate Pay, Payflow, Veritas Pay |
| Payment platform for startups | ChatGPT | No | — | — | Northgate Pay, Payflow, Kestrel Financial +1 |
| How much does payment orchestration cost? | ChatGPT | Yes | — | — | Northgate Pay, Veritas Pay |
| Best payment orchestration platform | ChatGPT | No | — | — | Northgate Pay, Veritas Pay, Obsidian Payments +1 |
| Payflow vs Veritas Pay | ChatGPT | No | — | — | Payflow, Veritas Pay |
| Who provides payment orchestration? | ChatGPT | Yes | 8 | — | Northgate Pay, Veritas Pay, Payflow +2 |
| Best payment platform in Australia | ChatGPT | No | — | — | Northgate Pay, Kestrel Financial, Payflow |
| Enterprise payment platform | ChatGPT | No | — | — | Northgate Pay, Veritas Pay, Obsidian Payments |
Every row stores the model version, geography and timestamp. Generative answers are non-deterministic, so each row aggregates three repeated probes rather than a single lucky or unlucky answer.
Citation sources
This is the list that makes authority work targeted instead of generic: these are the domains worth appearing on, because they are the ones the engines already trust in this category.
What the system watched this month
Recommendation engine
- 01
Fix Organization schema and align entity data across external profiles
Your Organization markup omits sameAs, founders and a canonical description, and three external profiles describe the company differently. Inconsistent entity data makes it harder for a model to resolve you as one company.
seoimpact higheffort lowconfidence highEngineering7days 0-30 - 02
Make pricing information crawlable and specific
Pricing sits behind a form. Every pricing query in the probe set was answered using third-party estimates, which were wrong. Publishing a real pricing explainer replaces a guess with your own words.
contentimpact higheffort lowconfidence highProduct marketing7days 0-30 - 03
Instrument AI referral traffic and connect it to pipeline
Visibility that cannot be traced to sessions and leads will not survive a budget review. Instrumentation must precede the growth claims.
growthimpact higheffort lowconfidence highGrowth + engineering7days 0-30 - 04
Publish a genuine comparison hub for the three queries you lose most
Answer engines pull shortlists from pages that compare options explicitly. You have no page that names an alternative, so there is nothing to quote when a buyer asks for a shortlist.
contentimpact criticaleffort mediumconfidence highContent lead + product marketing5.56days 0-30 - 05
Add internal links from the blog into the six pages that can win answers
Your highest-intent pages sit four clicks deep with almost no internal links. Depth suppresses both crawling and perceived importance.
seoimpact mediumeffort lowconfidence highContent lead4days 0-30
The priority score is published, not proprietary: impact x confidence, divided by effort. A client who disagrees with the ordering can argue with the inputs, which is the point.
Visibility to revenue
- AI answers naming you14of 40 queries
- AI answers citing your site9of 40 queries
- AI referral sessions486sessions / month
- Organic sessions8,420sessions / month
- Qualified leads37leads / month
- Pipeline created148,000USD / month
Nobody buys “you appear 12% more often in AI answers”. The chain has to end in pipeline, and the parts of it that are estimates rather than measurements are labelled as estimates in the real report.
Sample data. Everything shown here is built on a fictional company and fabricated probes. It shows the format of the deliverable, not a client result. The metric calculations behind it are real; the inputs are invented.
Next step
Want this for your company?
AI Search Growth is the monthly programme behind this dashboard — measurement, prioritisation, execution and reporting with human approval gates.