AI answer monitoring
Track whether ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity mention, recommend or cite a brand across the questions buyers ask.
Prefer
Prefer is an AI visibility platform that shows how ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity answer buyer questions about a brand. It helps marketers, agencies and multi-market teams analyze citations and competitors, prioritize improvements, and create content to address visibility gaps.
AI visibility monitoring and optimization
Prefer is an AI visibility platform for teams that want to understand how answer engines describe their brand and improve the likelihood of being recommended or cited. It monitors buyer questions across ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity, recording mentions, citations, sentiment, share of voice and the sources behind each answer.
The platform combines measurement with execution. Teams can compare their visibility with named competitors, find gaps in the questions and sources that influence answers, and use prioritized actions, on-page recommendations and source-grounded content drafts to address those gaps. Prefer also includes analytics for AI-agent and crawler activity, plus API or MCP-based access options that vary by plan.
Core features
Source and citation analysis
Review the pages, domains, review sites and community sources that answer engines use, including where the brand is absent from the cited set.
Competitive visibility analysis
Compare citation share, visibility, sentiment and positioning against named competitors on a question-by-question basis.
Action Center
Turn visibility gaps into a ranked queue of on-page, content and technical tasks, with each action linked to the prompts it is intended to move.
Content gap and drafting tools
Identify buyer questions and topics that the site is not being cited for, then create briefs and drafts grounded in the organization's own sources.
Agent analytics
Monitor traffic and behavior from AI agents and crawlers that reach the website, helping teams connect answer-engine visibility with site activity.
Use cases
Build an AI visibility program
A marketing team can establish which buyer questions produce mentions or citations, inspect the sources answer engines rely on, and assign prioritized on-page or content work to close the largest gaps.
Manage client reporting
An agency can report on client visibility against competitors and manage separate client workspaces. The agency offering described on the pricing page also includes white-label reporting and consolidated billing.
Compare visibility across markets
A brand operating in several markets can track the same buyer questions by country, compare regional visibility and identify where answer-engine coverage differs from its home market.
Plan citation-oriented content
A content team can use missing topics and citation sources to create briefs or drafts for pages intended to answer specific buyer questions, then monitor later runs for changes.
Connect AI visibility to site activity
A technical or growth team can examine visits and behavior from AI agents and crawlers, while querying visibility data through MCP or plan-dependent API connections.
Pros and Cons
Pros
- Covers five major answer-engine surfaces on every self-serve plan.
- Connects answer monitoring to citation sources, competitor comparisons and a prioritized action workflow.
- Includes content gap analysis and drafts based on the sources and topics the system identifies.
- Supports multiple countries and provides AI-agent and crawler analytics alongside answer visibility data.
Cons
- The depth of access and collaboration features varies by plan; full API and warehouse synchronization are listed for Enterprise.
- Visibility tracking is organized around prompts and countries, so expanding geographic coverage uses additional prompt capacity.
- The platform measures and supports actions intended to influence AI answers, but the source does not guarantee a particular ranking or citation outcome.
FAQ
Which AI engines does Prefer track?
Prefer measures ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity. The pricing page says all five engines are included on every self-serve plan; Enterprise adds Qwen, DeepSeek API and Claude Sonnet 4 API.
How does prompt tracking work?
A tracked prompt is one question in one country. The same question across three countries uses three prompt slots, while the five included engines are covered within that prompt slot.
Is there a free trial?
Yes. Paid plans begin with a seven-day free trial and do not require a card. During the trial, tracking is capped at 30 prompts regardless of the plan being tested.
Which countries can be tracked?
Prefer can track any of 197 selectable countries. The source notes that 20 major markets receive precise Google geolocation; in other markets, the market is stated in the question itself.
What does Prefer produce beyond visibility reports?
Prefer provides measures such as mentions, citations, sentiment, share of voice, source domains and competitor comparisons. Its Action Center connects recommended fixes to the prompts they are intended to improve, while content tools can produce drafts grounded in the product's source and citation data.
Quick Facts
- Category
- AI visibility and marketing analytics
- Primary users
- Marketers, marketing teams, agencies and multi-market brands
- Tracked engines
- ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity
- Trial
- 7 days, no card required
- Geographic coverage
- 197 selectable countries
- Access
- Web platform with MCP access on paid plans; full API and warehouse sync on Enterprise
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