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Multiple products, regions and teams
One product line looks fine. Another is invisible. Find out which is which.
Track several product lines, regions or brands as separate topics, compare them against the competitors that matter in each, and see where the gaps actually are.
best fleet management software for logistics companies
Commonly recommended platforms for logistics fleets include:
- 1Samsara
- 2Motive
- 3Verizon Connect
Your logistics line: not mentioned
Your retail product line is cited well in its own category. This answer drew on trade publications your logistics pages have never appeared in.
Same question, five engines
Named by 2 of 5. One blended score would report a number that is true of no engine here, which is why each engine is kept separate.
Best fit for
- Companies with more than one product line or region to cover
- Marketing teams with specialists rather than one generalist
- Organisations where a blended score hides the real problem
What you get
Topics keep the picture honest
Questions are grouped into topics, so a strong result in one area cannot mask a weak one in another. Every metric can be read per topic.
Per-engine, never blended
The five engines disagree, often sharply. Results stay separate per engine so you can see where a problem is engine-specific rather than universal.
Competitor benchmarking that follows the filters
The competitor grid narrows with the same topic and platform filters as everything else, so a comparison always reflects the slice you are looking at.
| Product line | ChatGPT | Perplexity | |
|---|---|---|---|
| Retail | 58% | 64% | 51% |
| Logistics | 0% | 6% | 0% |
| Manufacturing | 27% | 31% | 22% |
| Healthcare | 44% | 39% | 41% |
The company average is respectable. One line is invisible on two engines, and no blended score would have told you which.
How it works
- 1
Model the business
Set up topics for the product lines, regions or segments you actually manage separately.
- 2
Track per topic and per engine
Every metric can be read down to a single topic on a single engine.
- 3
Prioritise across the set
Findings are ranked so limited capacity goes to the topic where it matters most.
What this does not do
- Topics and prompts are configured, not discovered automatically. Modelling the business accurately is setup work.
- Coverage is the five engines listed. Regional assistants outside that set are not measured.
- Historical depth starts when tracking starts; the platform cannot reconstruct what assistants said before then.
Questions
- Can we separate product lines?
- Yes. Topics group prompts, and every metric can be read per topic, so product lines and regions stay distinct rather than averaged into one score.
- Can different teams look at different slices?
- Everyone works from the same workspace, and the topic and platform filters let each team narrow to the slice they own.
Find the evidence behind your AI visibility gaps.
Start with your brand website, review the generated measurement setup, and see the prompts, engines, competitors, and sources behind the first report.
Analyze My Brand