Local and multi-location
Track how AI assistants answer location-specific questions about your category, see which nearby competitors they name instead, and get the specific reasons you were left out.
best CBSE school in Tellapur, Hyderabad
Here are some well-regarded CBSE schools in the Tellapur area:
Your school: not mentioned
The assistant answered from three directory pages and a local news round-up. Your site was not among the sources it read, and no page on it lists Tellapur as an area you serve.
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.
Your service areas are part of your profile, so prompts are generated per area rather than one national question. A result for one suburb is not assumed to hold for the next one.
Every answer is stored with the brands it mentioned and the position each took, so you can see exactly who is being recommended in your area and how often.
Exclusion analysis records why the assistant did not include you for a given question — missing information, a page it could not read, or a source it trusted more.
| Service area | ChatGPT | Perplexity | |
|---|---|---|---|
| Tellapur | 0% | 18% | 0% |
| Miyapur | 42% | 55% | 31% |
| Gopanpally | 0% | 7% | 0% |
| Nizampet | 38% | 44% | 26% |
Two areas carry the account and two are invisible. A single city-level score would average them into a middling number and hide which street to work on.
List the suburbs, cities or regions you serve. Prompts are built per area, not one blended national query.
ChatGPT, Google AI Overviews, Perplexity, Claude and Gemini are tracked separately, because they disagree.
Open any run and see the response the assistant gave, with the sources it cited.
Findings become a prioritised list with the evidence attached, so you can see why each one matters.
Start with your brand website, review the generated measurement setup, and see the prompts, engines, competitors, and sources behind the first report.
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