Find the prompts you win and miss
Identify the tracked questions and engines where your brand is mentioned, recommended, compared, or not observed.
Measure brand presence
See where AI answers choose your brand — and where they do not.
A2ZReach measures the customer questions that matter to your brand, captures the answers returned by supported AI experiences, and shows where you are mentioned, compared, cited, or missing. Engine-level results stay separate so an aggregate score never hides the answer you need to investigate.
Track where your brand appears across supported AI engines, compare engine-level answers, and open the response evidence behind every visibility trend.
Engine-level reporting across the supported catalog
- ChatGPT
- Claude
- Google AI Overviews
- Perplexity
- Gemini
Engine availability depends on plan and configured measurement scope.
Engine comparison
Same prompt, separate answers
- ChatGPTMentioned
- ClaudeNot seen
- Google AICited
- PerplexityCompared
- GeminiMentioned
Captured answer evidence
Open the observation behind the metric
Tracked prompt
Which providers are best for teams evaluating this category?
“The answer mentions Your brand, compares two alternatives, and cites a supporting source.”
- Observed
- Mention + comparison
- Evidence
- Response + source
- Context
- Engine + timestamp
Know what changed
A score should lead to a specific answer.
A2ZReach keeps the prompt, engine, competitor set, captured response, citations, and observation time close to the metric so your team can investigate a movement instead of guessing at it.
Compare engine by engine
Review visibility, answer position, Share of Voice, and competitor presence without collapsing distinct AI experiences into one result.
Verify change with evidence
Follow repeated observations, then open the captured response, citations, prompt, engine, and timestamp behind a movement.
Evidence, not a mystery score
See the signals behind visibility.
Start with the aggregate view, then narrow to the engine, topic, prompt, response, and source that produced it.
Answer presence
See whether the tracked brand was mentioned, recommended, compared, or absent for each prompt and engine.
Share of Voice
Compare the tracked brand with other detected brands inside the same prompt set and observation window.
Position and trend
Follow answer position and directional change without treating a single capture as permanent behavior.
Cited sources
Inspect the domains and pages an answer cited when citation evidence is present in the capture.
Full response evidence
Open the captured answer, engine, prompt, and timestamp behind an aggregate metric.
Useful breakdowns
Narrow the view by engine, topic, prompt, competitor, and date range to understand what moved.
Engine-level by design
One blended score can hide 5 different answers.
Aggregate views help you scan the landscape. Engine-level views show whether a change came from ChatGPT, Claude, Google AI Overviews, Perplexity, or Gemini, without collapsing distinct products into one result.
ChatGPT
Its own captured answers, positions, citations, and trend.
Claude
Its own captured answers, positions, citations, and trend.
Google AI Overviews
Its own captured answers, positions, citations, and trend.
Perplexity
Its own captured answers, positions, citations, and trend.
Gemini
Its own captured answers, positions, citations, and trend.
Repeatable measurement
From tracked question to reviewable evidence.
The workflow stays consistent across repeated observations, while preserving the context needed to interpret variation.
- 1
Define the measurement scope
Choose the customer questions, supported engines, competitors, topics, and labels that make the report relevant to your brand.
- 2
Capture each engine answer
Record the response and observed brand mentions, answer position, citations, and comparisons when those fields are available.
- 3
Inspect the trend and its evidence
Start with aggregate movement, then narrow to the prompt, engine, response text, source, and capture time that explain it.
When your brand is missing
Move from the gap to the evidence around it.
A missing mention is the start of the investigation. Inspect who appeared, which sources supported the answer, and what customer-reviewable work the evidence justifies.
Confirm the exclusion
Open the exact prompt, engine, answer, and timestamp where the tracked brand was not observed.
Explore exclusion analysisInspect source influence
Review cited domains and pages when the captured answer includes citation evidence.
Explore citation intelligencePrepare the next action
Turn grounded evidence into review-ready work. Your team keeps control of approval, editing, execution, and publication.
Read about customer-controlled actionsInterpret the trend honestly
- AI answers can vary by engine, model, location, account state, prompt wording, and time.
- A captured answer is evidence of that observation, not a guarantee of future behavior.
- Metrics are meaningful only within the configured prompt set and selected time window.
Continue into the product evidence
Read the metric definitions, capture method, and response-viewer behavior behind this page.
Related insights
See also
Questions before you measure
AI visibility tracking, explained.
What the measurement covers, how to interpret it, and what happens after your team finds a gap.
What does AI visibility tracking measure?
AI visibility tracking in A2ZReach measures whether AI assistants mention your brand for each tracked prompt on each engine, plus your answer position, share of voice, the competitors named and the citations, where the engine shows them.
How does A2ZReach capture AI answers?
A2ZReach asks each engine your tracked prompts and saves the full answer with its citations and capture time. ChatGPT and Google AI Overviews are read in a browser, the way a person would; Perplexity, Gemini and Claude are read through their APIs. If a browser read fails, it falls back to the engine's API, or to a search-results provider for Google AI Overviews, and the answer records that it did. Your first report during setup reads ChatGPT and Perplexity through their APIs so it's ready in minutes. Answers vary by engine, location and time, so A2ZReach reads trends across repeated runs rather than any single answer.
Does A2ZReach combine every AI engine into one result?
No. Aggregate views are available, but engine-level results remain separate so differences between supported AI experiences stay visible.
Can I inspect the evidence behind a visibility score?
Yes. You can move from aggregate views into the tracked prompt, engine, captured response, observed citations, and capture timestamp behind the metric.
Can I track competitors in the same prompt set?
Yes. The configured competitor set is measured against the same tracked questions so you can compare presence, Share of Voice, and answer position inside the selected scope.
How often does visibility data refresh?
It depends on your A2ZReach plan: Starter runs your prompts every 48 hours, Growth runs your prompts every day, and Enterprise runs your prompts every day. Free is a one-time scan.
What happens when my brand is missing from an answer?
If competitors were named instead, A2ZReach records an exclusion with the alternatives and cited sources that appeared. You can open the exact answer and turn that evidence into a content brief, citation target or SEO fix, which your team approves before anything goes live.
Does a visibility score predict what an engine will say next?
No. It summarizes captured observations within the selected prompts, engines, and time window; it does not guarantee a future answer.