Your visibility at a glance
Understand where your brand appears in AI search — and what to improve next.
These metrics and answers are illustrative only. No live AI platforms, external data sources or website crawls are connected.
Visibility over time
How often your brand appears in sampled AI answers
Visibility by AI platform
Sample mention rate for each engine
Recently tracked questions
| Question | AI platform | Brand mention | Sources |
|---|
Priority opportunity
The next action from this sample analysis
Sample analysis suggests competing brands show up more often in “best tools for…” questions.
Website foundation
Example audit overview
AI Answer Tracker
Organise prompts, inspect sample answers and understand when your brand gets included.
Saved answers are illustrative. Connecting APIs or a compliant data provider is required for real monitoring.
Tracked questions
| Question / prompt | Platform | Brand mention | Competitor mentions | Sources | Last checked |
|---|
Try changing your filters or add a new tracked question.
Competitor intelligence
Compare your sample visibility with the brands competing for the same questions.
Competitor scores are placeholders to demonstrate the comparison interface. They have not been collected from AI platforms.
Share of sampled AI mentions
Illustrative share across the tracked question set
Where to investigate next
Sample competitor insights
Inspect its product comparison pages and the third-party sources cited in your tracked category.
Identify recurring publications and community sites in the sampled citations.
Tracked competitors
| Competitor | Website | Visibility score | Mention rate | Relative position | Status |
|---|
Try another search or add a competitor.
Website audit
Review the site signals that help search systems crawl, interpret and reference your content.
The audit results below are sample findings. Use the preview action to see how a future audit flow might look; it will not fetch or crawl a website.
Audit checklist
Example checks, not findings from a live crawl
Review schema coverage on product, service and organisation pages. Structured data should accurately represent the visible page content.
Make important customer questions easy to find and answer directly on the most relevant pages.
Sample check represented as passing. A real audit must inspect the actual HTML and page templates.
Review robots.txt, HTTP responses and indexability in the future live crawler.
Audit categories
Illustrative completion status
What a live audit will need
A production crawler will need safe URL handling, crawl limits, timeouts, canonical checks, robots directives, metadata extraction, JSON-LD parsing and clear handling for blocked or unreachable pages.
Planned engineering workAction Centre
A prioritised queue of things to investigate or improve, with sample evidence and effort estimates.
Priorities below are examples. In a live product, recommendations should be linked to observed prompts, answer records, source URLs or audited pages.
Your next best actions
Mark a sample task complete to try the workflow.
Prioritisation framework
How a recommendation should be scored
Expected importance to buyer questions, business value and visibility gaps.
Time and technical work to complete, including dependencies.
Recommendations should cite the data behind them and flag uncertainty.
Guiding principle
A recommendation is only useful if a user can see why it exists, what to change, how much effort it could take, and how success will be measured. Avoid promising guaranteed AI rankings.
Reports
Build a client-ready summary of visibility signals, notable gaps and recommended next steps.
This report is generated from the illustrative workspace only. CSV export downloads sample rows; print can be used to save the preview as a PDF.
Create a report
Choose a timeframe and the sections you want to include in your sample export.
Recent report exports
Example report history for the prototype.
Sample summary · 4 sections
AI Search Visibility Overview
A concise snapshot of brand visibility, competitor presence and recommended next steps.
01 / Visibility overview
The demo data represents brand mentions across a defined set of example buyer questions. Results in a real report would include the prompts tested, platform and collection timestamp.
02 / Competitor comparison
Illustrative category leaders appear in more sample responses than Acme Studio. Inspect specific questions and cited sources before planning changes.
03 / Recommended actions
- Build answer-led content for high-priority buyer questions.
- Review structured data on key landing pages.
- Inspect recurring competitor citations and source gaps.
04 / Website audit summary
Example foundation score: 78/100. Live crawling is not connected, so no claims are made about an actual website's state.
Integrations
Production data sources are not configured in this prototype.
These cards show a future integration plan, not connected services. Never paste API keys into this demo.
AI response providers
Choose official APIs or licensed providers that can return tracked AI responses, source links and usage metadata.
Not connectedWebsite crawler
Build a safe crawler with per-site limits, robots handling, domain validation and crawl history.
PlannedDatabase and auth
Use managed authentication and a database with customer-isolated access policies.
Not configured