ChatGPT Search
OpenAITrack whether your brand appears in conversational product shortlists and how ChatGPT positions you against category leaders.
Enter any company website to test real buyer-intent prompts where conversational AI engines recommend alternatives instead of you.
Illustrative sample data for a fictional US CRM company. Enter any domain to run 5 live checks.
"Best CRM for small marketing agencies?"
Review your agency CRM comparison page: check if it matches buyer intent and includes pricing and workflow specs competitors miss.
Inspecting website metadata, selecting 5 US buyer questions, and running live unbiased AI checks (~15–25s).
Copy your free 5-prompt findings immediately, or request the full multi-engine report.
US buyers don't rely on a single search box anymore. Each AI engine pulls from a different mix of web search results, review directories, and community threads.
Track whether your brand appears in conversational product shortlists and how ChatGPT positions you against category leaders.
Inspect inline footnotes and web citations on high-intent B2B and consumer research queries where buyers vet vendors directly.
Monitor brand recommendations shaped by Google's Knowledge Graph, business profiles, and live Search grounding citations.
See when synthesized AI summaries push classic organic results below the fold and which sources earn the top citation cards.
Traditional SEO tools track blue-link rankings. AI search builds one shortlist from third-party consensus, reviews, and editorial comparisons.
Set up your brand, competitors, and buyer prompts once. AI Visibility Data tracks every model continuously and surfaces what to fix.
Import the questions US prospects ask when evaluating solutions in your niche, from category discovery to vendor comparisons.
Track whether your brand is named, where competitors outrank you, and which review portals, comparison articles, or community threads AI cites.
Spot high-impact citation gaps where rivals are quoted and you are absent, update target pages or PR placements, and monitor historical visibility shifts.
Track vertical-specific buyer questions, category competitors, and the exact publisher ecosystems each AI model trusts in that market.
Monitor category shortlists, integration questions, and vendor-vs-vendor prompts across G2, Reddit, developer docs, and analyst comparisons.
Manage multiple client brands in separate workspaces, benchmark prospects during sales pitches, and report week-over-week AI visibility gains.
Track product recommendation queries and uncover the editorial roundups, YouTube reviews, and comparison blogs shaping purchase decisions.
Monitor geo-targeted buyer prompts across US metros and audit the local directories and review sites AI engines pull into answers.
Practical resources for US SEO teams, content strategists, and agencies building repeatable AI search visibility.
Enter any company domain to run 5 non-branded US buyer checks and see where competitors take AI recommendations.
Benchmark methodologies and citation audits tracking which domains get referenced across SaaS, retail, and local niches.
Step-by-step US guide covering prompt sets, Mention vs. Citation metrics, audit spreadsheets, and repeatable tracking.
Side-by-side breakdowns comparing AI Visibility Data against manual prompt checks and legacy SEO suites.
Prompt scheduling, competitor share-of-voice tracking, citation extraction, and CSV trend exports.
Predictable monthly pricing scaled by tracked prompts, client workspaces, and check frequency.
Run a free baseline check on your brand and top competitors, or explore plans built for US marketing teams and agencies.