AI visibility tool
See and improve your AI visibility in minutes
Automate tracking, insights, and recommendations so you spend less time reporting and more time growing.
Trusted by content creators worldwide
Rated 5/5 by happy customers
Advanced features
Explore the comprehensive features designed to enhance your workflow and boost productivity.
AI search visibility tracking
Monitor brand presence across AI answers, SERPs, and knowledge panels.
Automated SEO recommendations
Generate prioritized fixes for pages, entities, schema, and internal links.
Answer and citation analytics
See which prompts cite you, why, and how rankings shift over time.
Competitor and gap insights
Benchmark against rivals and uncover missing topics and intents to win.
Secure data controls
SSO, RBAC, encryption, and audit logs to protect sensitive insights.
Multi-language monitoring
Track visibility and recommendations across locales with auto translation.
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Get startedHow it works
Follow our simple process to get started and achieve amazing results in minutes.
Connect your brand and AI surfaces
Link your website, brand entities, and the AI channels where you want to be discovered.
Add your domain(s), product lines, and key entities (brand, people, locations). Select target AI surfaces such as major LLM chat experiences, AI search results, and assistant ecosystems. Define competitors and priority topics so the tool can benchmark visibility and share-of-voice.
Define prompts, intents, and success criteria
Create a prompt set that mirrors real customer questions and specify what “good” visibility looks like.
Build prompt libraries by funnel stage (awareness, consideration, purchase, support) and intent (informational, comparison, transactional). Set scoring rules for inclusion, ranking/position, sentiment, citation/link presence, and answer accuracy. Choose markets, languages, devices, and freshness cadence to reflect your audience.
Run monitoring and capture AI responses
Continuously test prompts across AI systems and store the full outputs for analysis.
The tool executes prompts on a schedule, normalizes responses, and records metadata (model/surface, date/time, locale). It extracts mentions, attributed sources, citations, and recommended actions. Drift detection flags material changes in answers, rankings, or citations over time.
Analyze visibility and act on recommendations
Turn response data into visibility metrics, root-cause insights, and prioritized actions to improve outcomes.
Dashboards show share-of-voice, prompt coverage, citation rate, sentiment, and competitor comparisons by topic and market. Root-cause views highlight missing content, weak entity signals, outdated sources, or negative narratives. Export reports, create tickets for content/PR/SEO updates, and re-test to validate impact and track lift over time.
Ready to get started with our simple process?
Start your journeyBenefits
Transform your business with proven results and industry-leading capabilities that drive real growth.
Boost team productivity
Automate monitoring and reporting so your team spends less time chasing insights and more time shipping improvements.
Reduce costs with smarter prioritization
Focus effort on the highest-impact issues first to cut wasted spend on low-value content updates and experiments.
Improve SEO and search visibility
Identify gaps, opportunities, and performance trends to strengthen rankings, increase qualified traffic, and protect visibility over time.
Deliver a better user experience
Spot friction points and content mismatches early to keep journeys clear, answers accurate, and engagement higher.
Use cases
Discover how businesses across industries use our platform to achieve remarkable results.
Boost brand discoverability in AI search for e-commerce
Monitor how often and where your products and brand are mentioned in AI-generated answers (e.g., shopping assistants, AI search summaries) and identify gaps in product data, reviews, and category coverage that reduce AI-driven visibility.
Example:
A mid-market home goods retailer tracks AI responses for queries like "best non-toxic cookware" and finds competitors are cited 3× more often. The tool flags missing structured attributes (PFAS-free, induction compatible), weak review coverage for top SKUs, and inconsistent category naming across the site and marketplaces.
Expected results:
In 8 weeks: AI answer mention share increased from 6% to 18% (+12 pp); attributed AI-referral sessions rose 42% (12,400 to 17,600/month); conversion rate on AI-referred traffic improved from 2.1% to 2.6% (+0.5 pp); revenue from AI-referred sessions increased 31% ($410k to $537k/month).
Reduce patient acquisition costs for healthcare providers
Track how AI assistants recommend providers and services, measure sentiment and accuracy of location/service details, and prioritize content and profile fixes that influence AI-driven referrals while maintaining compliance requirements.
Example:
A multi-location urgent care network monitors AI answers to "urgent care near me open now" and "sports physical cost." The tool detects outdated hours for 4 clinics, inconsistent pricing language, and missing service pages for pediatric care, leading AI tools to recommend competitors.
Expected results:
In 10 weeks: AI-driven lead volume increased 28% (1,120 to 1,434/month); cost per appointment decreased 19% ($82 to $66); incorrect-hours mentions dropped from 14% to 2% (-12 pp); call abandonment rate improved 9% (21% to 12%).
Strengthen competitive positioning for B2B SaaS in AI recommendations
Quantify share of voice in AI responses for category and problem-based prompts, map which features and proof points AI models associate with your product, and close messaging gaps across docs, comparisons, and third-party review sites.
Example:
A workflow automation SaaS tracks prompts like "best Zapier alternatives for enterprise" and "SOC 2 compliant automation platform." The tool shows the product is frequently excluded due to weak public evidence of compliance and missing comparison pages, while a competitor is consistently cited for enterprise controls.
Expected results:
In 12 weeks: AI recommendation share increased from 9% to 23% (+14 pp) across tracked prompts; demo requests from AI-referred traffic rose 37% (540 to 740/month); win rate in AI-influenced opportunities increased 6 pp (18% to 24%); sales cycle length decreased 11% (62 to 55 days).
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AI visibility tool vs alternatives
Compare how AI visibility tool stacks up against traditional methods and other platforms across the capabilities that matter most for measurable AI search and assistant visibility.
| Feature |
Our solution
AI visibility tool (ours)
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Traditional methods (SEO + manual checks)
|
Competitor A (generic SEO suite)
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Competitor B (rank tracker)
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Competitor C (LLM analytics add-on)
|
|---|---|---|---|---|---|
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Tracks presence, position, and context within AI-generated answers across selected LLMs and AI search surfaces; supports prompt variants.
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Not designed for AI answers; relies on ad-hoc prompting and screenshots; inconsistent and hard to reproduce. | Limited or emerging AI tracking; often focuses on SERP features rather than full answer attribution. | Primarily tracks classic keyword ranks; minimal AI answer coverage. | Tracks some AI surfaces, but typically narrower model coverage and less context capture. |
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Detects citations/mentions, maps them to sources, and shows why you were (or weren’t) referenced; flags missing citations.
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Manual source tracing is slow and error-prone; difficult to compare across prompts and time. | Basic backlink/citation signals; weak linkage from AI mentions to underlying sources. | Little to no citation analysis for AI answers. | Often provides mention detection, but weaker source-to-suggestion explanations and fewer actionable fixes. |
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Scheduled runs, change detection, and alerts for share-of-voice shifts, lost mentions, and competitor gains.
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Requires recurring manual checks; changes are frequently missed until impact is noticeable. | Good general alerts (traffic/rank), limited AI-specific change alerts. | Alerts centered on keyword movement, not AI answers. | AI alerts may exist, but typically lack configurable prompt sets and fine-grained change diffs. |
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Side-by-side competitor visibility with AI share of voice, topic coverage gaps, and winning sources they’re being cited from.
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Competitive analysis is time-consuming and qualitative; hard to quantify AI share of voice. | Strong competitor SEO benchmarking, weaker AI-specific share-of-voice metrics. | Competitive rank comparisons only; doesn’t reflect AI assistant outcomes. | May benchmark mentions, but limited topic-gap workflows and source replication guidance. |
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Prioritized recommendations tied to visibility drivers (content, sources, PR, technical); exports and API for teams.
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Insights are scattered across tools and docs; turning findings into tasks is manual. | Broad recommendations, often generic; AI visibility fixes not clearly linked to outcomes. | Minimal guidance beyond rank data. | Some recommendations, but often lacks end-to-end workflow (from detection to prioritized actions). |
Faster implementation
Get started in minutes, not weeks
Better security
Enterprise-grade protection included
Fast support
Always here when you need us
Industry insights for AI visibility tools
Adoption is accelerating as brands seek measurable AI search presence, faster content ops, and higher marketing ROI.
More than half of organizations report using AI in at least one business function, signaling mainstream adoption that increases the need to monitor AI-driven discovery and visibility.
The global AI market is projected to reach $826B by 2030, expanding the ecosystem of AI-native search, assistants, and content workflows where visibility measurement becomes a competitive lever.
Generative AI could lift global labor productivity by around 14% through task automation and augmentation, reinforcing the business case for tools that streamline content operations and reporting.
A majority of marketers report already using AI, reflecting rapid adoption of AI content automation and the growing demand for governance, brand consistency, and performance measurement across AI channels.
Companies implementing AI in sales and marketing have reported 20%, 30% gains in productivity, indicating clear ROI potential when paired with visibility tracking to prioritize high-impact content and queries.
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Frequently asked questions
Find answers to the most common questions about our platform and features.
The AI visibility tool tracks how your brand, product, or content appears in AI-generated answers across major AI assistants. You enter your domain and key topics/queries, then the tool runs scheduled prompts, captures the full responses, and analyzes visibility signals such as whether you’re mentioned, where you appear (top vs. lower in the answer), how you’re described, and which sources are cited. Results are stored in a timeline so you can compare changes after site updates, PR, or content releases.
In addition to classic search rankings, the tool identifies which pages and entities AI models tend to cite when answering your target questions. It provides recommendations to improve “AI-ready” SEO, such as strengthening topic coverage, adding missing entities/definitions, improving page structure for extractable snippets (headings, summaries, FAQs), and aligning content with the intent behind common AI prompts. You can also see which competitor pages are being cited and what content patterns (formats, sections, terminology) correlate with higher AI visibility.
Yes. You can customize monitoring by creating query sets (e.g., brand terms, product comparisons, “best X for Y,” troubleshooting), selecting markets/locations where available, and tagging queries by funnel stage or product line. Reporting can be customized with dashboards that highlight your KPIs (mentions, citation rate, share of voice, sentiment/descriptor terms, source URLs) and automated exports (CSV/PDF) or scheduled email reports for different stakeholders.
The tool supports multilingual monitoring by allowing you to run the same topic set in different languages and compare visibility across regions. Language availability depends on the AI model endpoints you connect; commonly supported languages include English, Spanish, French, German, Portuguese, Italian, Dutch, and Japanese. You can also mix languages within a project and filter results by language to see where localization or translated content improves AI citations and mentions.
Many AI visibility tool offerings include a free plan or trial that lets you monitor a limited number of queries and run reports on a reduced schedule (e.g., weekly) with basic metrics like mention detection and citation URLs. Advanced features, such as competitor benchmarking, higher prompt volumes, team access, API exports, and custom dashboards, are typically included in paid tiers. If you share your expected query volume and target markets, we can recommend whether the free plan is sufficient.
Boost ai visibility before competitors do
Use our AI visibility tool to see where you show up in AI answers, fix gaps fast, and capture demand while it’s still available.
Trusted by content creators and businesses worldwide
"This tool saved me hours every week. The AI generates perfect blog posts that actually rank on Google!"
"Incredible ROI! My blog traffic increased by 300% in just 2 months using this platform."
"Finally, a tool that understands my niche! The content quality is amazing and SEO-optimized."