AI Visibility Checker

These observations answer different questions. A brand mention shows that the answer names your business. A website citation shows that it includes a source link to your domain. Referral traffic records a visit to your website. Your report keeps each measure separate.

Visibility also differs from page readiness. Use the AI Citation Readiness Checker to review a page’s access, structure and evidence. Use this checker to measure what appears in collected AI answers.

Google AI Overviews and Google AI Mode have separate reports. An Overview may not appear for a query, while an AI Mode response is a different search experience. Use the Google AI Overview Checker when you want to investigate that specific surface.

Compare each platform on the same relevant questions. Filter by country, language, device where supported, date, model and collection source. A consumer-interface capture, an API response and a licensed dataset observation retain their own labels, helping you interpret differences accurately.

Prompt research helps expand that set into related questions and topic clusters. Review automatic intent tags, suggested competitors and persona variations before adding them to monitoring. A setup interview can use your business context to produce a proposed tracking plan.

Each suggestion identifies its origin: your input, traditional search data, generated research or a licensed prompt dataset. Prompt-volume and opportunity estimates include their method and coverage so you can use them as planning aids.

Where search-demand data is available, review estimated impression weighting as a planning metric. It identifies potential visibility within that dataset, with the calculation shown alongside observed answer counts.

Where a provider exposes retrieval queries or follow-up steps, inspect those alongside the answer. Generated related questions remain labelled as suggestions. Multi-turn tracking lets you review how a recommendation changes as the question becomes more specific.

Your share of voice shows your share of the tracked brands’ appearances within the selected sample. Citation share uses the defined citation set. Both include their comparison group and counting rules.

When an answer presents a clear ordered list, inspect your position within that list and compare qualifying observations over time. Missing appearances are reported separately. An answer position is a description of that response, rather than a universal ranking for your business.

Use topic, product, persona and market filters to investigate the gaps most relevant to your customers. Save worthwhile opportunities to the action plan with the answers and sources that support them.

Filter by engine, prompt, topic and date. Group sources by ownership and content type, examine citation gains and losses, and open the answer that contains each reference. URL normalization and optional destination checks help you review redirects, duplicate variants and link availability.

Follow selected URLs in a citation watchlist, inspect citation persistence and source co-occurrence, and review reference order separately from brand order in the answer. Connected SEO data adds available keyword, backlink and traffic context, with estimates labelled.

Citation evidence has its own coverage labels. A known link in a partial reference list remains visible, while a missing link is treated as uncertain until the relevant list is complete. Provider-reported retrieval sources are identified separately from links displayed in the answer.

For a closer passage-and-source review, continue with the AI Citation Checker. A citation shows an observable relationship to a source; checking whether that source supports a particular claim requires an additional evidence review.

Connect an approved brand knowledge base to check answer claims against current product facts and source documents. Accuracy findings identify the statement, reference material and review status so your team can confirm or correct the issue.

Human review remains part of the workflow. You can resolve an ambiguous brand match, revise a sentiment label and document the reason. Automated interpretation helps prioritize investigation; it does not establish what information exists inside a model’s training data.

Set alerts for visibility drops, new competitor appearances, lost citations, source changes or inaccurate brand descriptions. Use email and in-app digests to review completed checks and the tasks that need attention. Collection-health alerts distinguish a provider problem from an observed change in answers.

Compare matching prompts, markets and collection methods across periods. Add notes for page updates, product launches, outreach and technical fixes. Repeated-run reports show variability, with uncertainty estimates where the sampling method supports them.

A change after an update is a useful observation to investigate. The report preserves the baseline, sample and timing so you can assess it alongside other explanations.

Content opportunities may call for a clearer comparison, an original study, current product documentation or a page that answers a missing customer question. Technical tasks may involve access, rendering, canonicals, indexing directives or inconsistent structured data. The connected readiness audit provides the page evidence for those checks.

Create a content brief for a useful gap and plan supporting coverage across an existing topic cluster. The Internal Link Opportunity Finder can help connect relevant pages so visitors can move from explanation to evidence and then to the appropriate service.

For third-party source opportunities, review relevance, editorial standards and what you can contribute. Our blogger outreach service can support publisher research and outreach when that work fits the evidence. A placement does not guarantee an AI citation.

Brand-voice guidance, source-backed drafting and content checks help your team review structure, factual support and consistency. Keep source references with the draft, compare revisions, comment on specific passages and request client approval before publication.

Use the content calendar to coordinate updates and export approved work as HTML, Markdown or text. Connected CMS workflows can publish approved content and record its live URL. Subsequent checks show whether that page appears in the monitored answers.

For supported site integrations, technical recommendations can move into a controlled implementation workflow with review, change history and rollback. Your team chooses which changes to apply and checks the result afterward.

Search Console data adds search queries, clicks, impressions and the generative-AI report fields available for your property and connection. CRM and product-analytics integrations help follow the events your business records after a visit.

Keep measured first-party traffic separate from licensed competitor traffic estimates. Attribution reports identify their data sources and model, including gaps in referral information. An AI mention can influence a decision without producing a recorded click.

Our generative engine optimization guide explains how AI-answer measurement fits into the broader SEO and content workflow.

Use a connected browser extension for page-level technical reviews within that investigation.

Review crawler purpose and access policy with the relevant technical tools. Search retrieval, model training and user-directed fetching may have different controls. Use the Indexability Checker for focused crawl and directive evidence.

Crawler visits, answer citations and human referral sessions remain separate observations in the report. Each helps investigate a different part of discovery.

Local and multi-location visibility: Compare brand and location-level answers, nearby competitors and the business details shown for each market. Connected local modules support listing reviews, profile updates, review workflows and geographic rank maps. Local search positions and AI-answer measurements have separate labels.

Connected mobile access lets local teams review their location reports and approved tasks on the go.

Paid AI placements: Monitor supported sponsored placements and advertiser appearances alongside organic mentions. Connected advertising workflows can turn an approved opportunity into campaign planning and reporting. Authorized audience integrations support applicable follow-up campaigns; paid and organic results remain separately measurable.

Developer products: A connected agent-analysis module can review whether coding assistants recommend a product, choose its documentation and complete an integration. Session replay and controlled documentation comparisons help investigate failed attempts. These observations are reported separately from consumer search answers.

Customize dashboards by brand, topic, market or client. White-label reports and client portals support branded delivery, comments and approval workflows. Agency portfolio views bring project health, upcoming checks and recommended work into one place.

Saved views and documented custom metrics let you build reports around the questions your team needs to answer.

Scheduled reports and revocable share links help distribute findings. Workspace roles, project permissions and available sign-in controls determine who can access saved evidence. Choose retention settings for stored captures and use export and deletion controls as needed.

Use the documented API, MCP connection, BI connectors or supported automation integrations to bring your visibility data into existing workflows. A connected analysis assistant can answer questions about your report and point to the observations behind its explanation.

Product and ecommerce teams can investigate recommendations for individual products. Local businesses can compare location-specific questions. PR teams can review cited publishers and inaccurate narratives before planning a response.