AI Visibility.

See how AI
sees you.

Understand how AI discovers your business, what it says about you, and what happens next. AI Visibility brings answer evidence into the same conversation as public readiness, practical consulting and business actions.

Subscriber AEO workspace

From an issue
to your next improvement.

Audit selected pages, prioritize work, prepare content briefs and check what changed. Each finding links to official provider guidance.

Explore the AEO workspace

A workflow your team can own

Discover · Improve · Measure
  • Provider-specific access checks and page evidence.
  • Assigned tasks, publication notes and later verification.
  • Editable briefs and separate Google/Bing report evidence.
  • Subscriber workspaces and combined administrator views.

01 / A continuing view

Your buyer questions.
Evidence you can inspect.

Keep the answer, its citations and its context together. Understand where your business appears, what needs correction and which questions still need coverage.

WHAT EVERY OBSERVATION KEEPSEvidence structure
Question & context

What was asked?

Buyer question, engine, surface, model when known, capture time and locale.

Answer & sources

What was said?

Saved answer text, citation URLs and an optional source link, with manual and API sources distinguished.

Review & follow-up

What needs attention?

Unreviewed, accurate or needs correction, with notes and review history retained.

02 / Read each source on its own terms

A useful picture.
No invented certainty.

01

Saved answer samples

Compare buyer questions, competitor names and aliases, and cited business domains in saved answers. A sample reflects its question, time and source; it does not establish a universal AI rank. Manually captured consumer answers are reported evidence. API samples are labeled separately from consumer-product answers.

02

Google & Bing reports

Import reports in the documented canonical JSON format. Source and reporting interval stay attached, and report metrics stay separate from answer-sample rates. Native account synchronization is not connected.

03

Review over time

See source filters, freshness, coverage and open accuracy issues. Reviews keep their history. Recommendations point to evidence and propose work; publishing remains a separate decision.

04

Business outcomes

Record business-reported leads or sales with source, stage, time and supporting evidence. These records can inform follow-up, but do not prove that a sampled AI answer caused a sale.

03 / Monitoring, deliberately configured

Start with a question set.
Build a useful cadence.

An administrator or an enabled workspace member sets your brand, aliases, competitors, locale and up to 100 buyer questions within your workspace allowance. Start with saved evidence, then enable automated checks when provider setup is complete.

Daily, weekly or every-30-days monitoring runs on our servers after activation. Each run has progress and failure states, so an unavailable provider is never presented as an empty successful answer.

Scope your visibility workspace

Current setup requirements

Provider setup required
  • Managed answer sources include OpenAI, Anthropic and Perplexity web-search APIs. CARAIXIS configures dedicated server credentials; customers do not need API keys.
  • The workspace shows which sources are connected and whether checks have succeeded. API samples are distinct from consumer-app answers.
  • Credentials stay on the server. Viewer links remain read only. A separately enabled workspace gives subscribers editing access for their own AEO work.
  • Your agreed monthly check allowance limits execution. A check is one question on one source; incomplete checks remain visible and are excluded from mention rates.
  • Google and Bing use report imports, not native account sync.

Methodology

Keep the source close.

Automated samples use the provider’s documented web-search API and retain returned citation annotations. The dashboard’s comparisons describe the observations in the selected source and time window. Freshness and coverage make the limits visible.

The public readiness scan checks technical discovery and access signals. It cannot report actual AI recommendations, citations or rank. AI Visibility requires answer evidence beyond that scan.

Business-reported outcomes, answer samples and search-report metrics remain separate evidence types. No guaranteed placement, causal revenue attribution or independent verification of manual captures is implied.

Make the next answer useful.

Bring your site and the questions your customers ask. We will define the evidence, review cadence and improvements worth pursuing.