Header
At the top of the prompt results page, you’ll find key information and actions.
Last updated
See when data was last collected for this prompt. Click Refresh to manually trigger a new run and get fresh results.Quick actions
Organize and navigate without leaving the page:- Add tags - Group this prompt with tags like “Competitor Comparison”, “Feature Query”, or “Pricing”
- Attach personas - Assign personas (e.g., “Enterprise Buyer”, “SMB Owner”) to segment your analysis
- View prompt - Jump to the prompt configuration page
Core metrics
The header displays your four key performance indicators:Citations
How often your pages are cited as sources
Share of Voice
Your percentage of the AI response
Average Position
Your typical ranking when mentioned
Sentiment
How positively AI describes your brand
- Current value
- Trend direction (up/down arrow)
- Change from previous period
Improvements
If you have enabled improvements for this prompt, you will see recommended actions to boost your visibility.
| Recommendation | Description |
|---|---|
| Pages to optimize | Specific pages on your site that could help you rank for this prompt |
| Content gaps | Topics you should cover that competitors are ranking for |
| Similarity score | How well each page matches the prompt (content relevance, not difficulty) |
Understanding similarity scores
Understanding similarity scores
The similarity score tells you how well a page content matches the prompt, not how difficult it is to rank.
- High similarity (70%+): Content already relevant. Focus optimization here first.
- Medium similarity (40-70%): Partially relevant. May need expansion.
- Low similarity (below 40%): Different topic. Consider creating new content instead.
- /solutions/sales-crm at 89% directly addresses the query
- /features/reporting at 45% related but not specific enough
- /blog/marketing-tips at 12% wrong topic entirely
Sources
The sources section shows which websites AI models cited when answering this prompt.
Source table
Sources are grouped by domain with these columns:| Column | Description |
|---|---|
| Domain | The source website (e.g., g2.com, wikipedia.org) |
| Category | Type of source (competitor, review site, publication, etc.) |
| Share of Voice | What percentage of the answer meaning came from this source |
| Attribution | How the source was used (direct quote, paraphrase, background) |
| Position | Where this source ranks among all sources |
| Citations | How many times this source was cited |
| URLs | Number of specific pages cited from this domain |
Understanding source attribution
Share of Voice for sources shows where the answer meaning comes from, not just which links appeared.| Source | Share of Voice |
|---|---|
| wikipedia.org | 68% |
| g2.com | 18% |
| your-company.com | 8% |
| techcrunch.com | 6% |
What to look for
| Pattern | What it means | Action |
|---|---|---|
| Competitor dominates | Their content shapes answers | Create competitive content |
| Wikipedia high | Generic info dominates | Add unique, specific details |
| Review sites prominent | Third-party validation matters | Improve review presence |
| Your site low | Your content is not used | Optimize pages for AI |
Responses
Below sources, you will find every individual AI response for this prompt.
Understanding the table
Each row is one response from one AI model:| Column | Description |
|---|---|
| Platform | Which AI model (ChatGPT, Claude, Perplexity) |
| Country | Geographic setting for the query |
| Persona | Which persona was used, if any |
| Position | Where you ranked (1st, 2nd, not mentioned) |
| Mentioned | Whether your brand appeared |
| Sentiment | How you were described |
| Date | When captured |
One prompt in Attensira creates multiple responses. If you track 2 countries and 3 AI models, that is 6 individual responses per run.
Response detail
Click any row to see the full response:
- Full AI response with your brand highlighted
- Sources cited in this specific response
- Competitor mentions and how they were described
- Sentiment breakdown
Filtering responses
Use filters to find patterns:| Filter | Use case |
|---|---|
| By Platform | Compare ChatGPT vs Claude vs Perplexity |
| By Country | See geographic differences |
| By Position | Find where you win (Position = 1) or lose |
| By Mentioned | Focus on responses where you are missing |
Finding patterns
Look across responses to answer:- Why do I rank better on Claude? Filter by platform, compare attributes
- Why am I missing in the UK? Filter by country, check local competitors
- What makes me win? Filter Position = 1, analyze common factors