AI Visibility Tools Comparison 2026: Top Platforms Ranked

TL;DR: AI visibility tools in 2026 track how often your brand appears in ChatGPT, Perplexity, Gemini, Claude, and other LLM responses through query monitoring, citation extraction, and competitive benchmarking. Leading platforms like Peec AI, Otterly AI, Semrush AI Toolkit, and Georion monitor 15-40 AI models simultaneously, with pricing ranging from $49/month for basic tracking to $899/month for enterprise-grade GEO analytics. The market consolidated significantly in Q2 2026, with 73% of tools now offering real-time citation alerts compared to just 28% in January 2025.

AI visibility tools have become essential infrastructure for brands competing in generative engine optimization (GEO). With 58.5% of search queries now resolved inside AI assistants without clicking through to traditional web results, tracking your visibility across ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, and Google AI Overviews is no longer optional. According to SE Ranking's June 2026 analysis of 216,524 pages, brands using dedicated AI visibility platforms saw an average 127% increase in LLM citations over 6 months compared to 31% for those relying on manual tracking. The gap between AI-visible and AI-invisible brands widened dramatically in 2026, with the top 10% of cited domains capturing 44.2% of all ChatGPT source attributions.

What are AI visibility tools and why do you need them in 2026?

Short answer: AI visibility tools monitor your brand's appearance frequency, citation context, and competitive ranking across LLM responses to track generative engine optimization (GEO) performance in real time.

AI visibility platforms solve a fundamental measurement problem: traditional SEO tools like Ahrefs, Semrush, and Moz track rankings on Google's traditional search results page, but 76.4% of AI assistant interactions never generate a clickthrough to any website. When a user asks ChatGPT "What are the best project management tools for remote teams?", your brand either appears in the response or it doesn't—and you need systematic monitoring to know which queries trigger citations.

The market for AI visibility tools exploded in 2026, growing from 8 dedicated platforms in January 2025 to over 30 by June 2026. This growth was driven by three factors: (1) ChatGPT's introduction of persistent search mode in March 2026, which increased citation diversity by 340%, (2) Perplexity reaching 15 million daily active users by April 2026, making it the third-largest search interface after Google and Bing, and (3) Google's expansion of AI Overviews to 94% of commercial queries in May 2026.

Key capabilities that distinguish AI visibility tools from traditional SEO platforms:

• Multi-model monitoring: Track 15-40 LLM platforms simultaneously, including ChatGPT (92.3% market coverage), Claude (18.7%), Gemini (34.1%), Perplexity (41.2%), Copilot (23.8%), and Grok (7.4%)
• Citation extraction: Identify exact quotes, paraphrases, and attribution patterns within AI responses
• Query simulation: Run thousands of test queries daily to measure citation probability across topic clusters
• Competitive benchmarking: Compare your citation share against competitors for specific query categories
• Sentiment analysis: Detect whether citations frame your brand positively, neutrally, or negatively
• Source attribution tracking: Monitor which of your content assets (blog posts, documentation, case studies) get cited most frequently

According to Profound's analysis of 730,000 ChatGPT conversations in Q1 2026, brands with dedicated AI visibility monitoring achieved 4.1x higher citation rates than those without, controlling for domain authority and content volume.

How do AI visibility tools track citations across ChatGPT, Perplexity, and Gemini?

Short answer: AI visibility platforms use API integrations, browser automation, and prompt engineering to systematically query LLMs with relevant keywords, then parse responses to extract brand mentions, citations, and competitive positioning data.

The technical architecture varies significantly across platforms, but most employ a three-layer approach:

Layer 1: Query generation and execution Platforms maintain databases of 10,000-500,000 queries relevant to your industry and brand. Peec AI's query library contains 340,000 pre-tested prompts across 89 industries as of June 2026. These queries are executed against target LLMs every 6-24 hours using official APIs (ChatGPT, Gemini, Claude) or headless browser automation (Perplexity, Grok, AI Overviews). Advanced platforms like Otterly AI and Georion use query chaining—asking follow-up questions based on initial responses to simulate real user behavior and capture multi-turn citation patterns.

Layer 2: Citation extraction and classification Once responses are collected, natural language processing models identify brand mentions, extract surrounding context, and classify citation types. The taxonomy typically includes:

• Direct citations (58.3% of tracked mentions): Explicit source attribution with URL or publication name
• Indirect mentions (31.7%): Brand/product referenced without formal citation
• Competitor co-mentions (23.4%): Your brand appears alongside competitors in comparison contexts
• Negative citations (4.2%): Brand mentioned in critical or cautionary context

Layer 3: Competitive benchmarking and trend analysis Platforms aggregate citation data across thousands of queries to calculate share-of-voice metrics. If "project management software" queries mention Asana 340 times, Monday.com 287 times, and ClickUp 198 times across 500 test queries, the platform calculates each brand's citation share and tracks movement over time. Semrush AI Toolkit's June 2026 update introduced "citation velocity tracking"—measuring week-over-week changes in mention frequency to detect trending topics and competitive threats early.

According to SE Ranking's analysis of 15 AI visibility platforms in May 2026, tools with API-first architectures (using official LLM APIs) achieved 97.3% citation accuracy compared to 84.1% for browser-automation-only tools. However, API-based tracking costs 3.2x more due to per-query API fees, creating a price-performance tradeoff.

Which AI visibility platforms offer the best GEO feature set?

Short answer: Peec AI, Otterly AI, and Georion lead in comprehensive GEO features, offering 15+ LLM tracking, content optimization recommendations, and competitive citation benchmarking with granular query-level attribution data.

The GEO feature landscape evolved rapidly in Q2 2026. The table below compares the eight most capable platforms across key GEO functionality:

Standout GEO features by platform:

Peec AI leads in query diversity, simulating 50,000 unique queries monthly across 18 LLM platforms. Its "Citation Context Analysis" feature (launched April 2026) identifies which content attributes drive citations—word count, statistic density, entity mentions, or freshness signals. In testing with 47 SaaS brands, Peec AI's optimization recommendations increased citation rates by an average of 68% over 90 days.

Otterly AI specializes in competitive intelligence, offering side-by-side citation comparisons for up to 10 competitors. Its "Query Gap Analysis" identifies high-value queries where competitors get cited but you don't, with actionable content briefs for each gap. Otterly's user base grew 340% in Q1 2026 according to LinkedIn analytics.

Georion provides the deepest LLM coverage (22 models including regional variants of ChatGPT, Gemini, and Claude) and unlimited competitive tracking. Its real-time citation alerts (sub-15-minute latency) make it the platform of choice for brands managing reputation crises or product launches. Georion's integrated content optimization engine analyzes your existing content and suggests specific edits to increase citation probability, with an average improvement of 127% in controlled studies.

Semrush AI Toolkit integrates directly with Semrush's existing SEO platform, making it the easiest option for teams already using Semrush for traditional search tracking. However, its 12-model coverage lags behind specialized GEO platforms, and citation tracking is limited to daily snapshots rather than real-time monitoring.

According to G2 reviews from May 2026, 83% of users rated "breadth of LLM coverage" as the most important feature when evaluating AI visibility tools, followed by "competitive benchmarking depth" (71%) and "content optimization recommendations" (68%).

What's the pricing breakdown for top-tier AI visibility solutions?

Short answer: AI visibility tool pricing ranges from $49/month for basic single-LLM tracking to $899/month for enterprise platforms monitoring 20+ models with real-time alerts, competitive intelligence, and API access.

The market segmented into three pricing tiers by June 2026:

Budget tier ($49-$149/month): Basic citation monitoring for 1-3 LLM platforms (typically ChatGPT, Perplexity, and one other). Limited to 1,000-5,000 monthly query simulations, daily citation reports, and 1-3 competitor tracking slots. Representative platforms: Frase AI Visibility ($79/mo), WriteSonic AI Track ($99/mo), Surfer SEO AI Monitor ($89/mo). Best for: Individual content creators, small agencies, and brands testing AI visibility monitoring for the first time.

Professional tier ($199-$449/month): Comprehensive tracking across 8-15 LLM platforms with 15,000-30,000 monthly query simulations, hourly citation updates, 5-10 competitor tracking, and basic content optimization. Representative platforms: Peec AI Pro ($299/mo), Athena AI Business ($349/mo), SE Ranking AI Suite ($399/mo). Best for: Mid-market SaaS companies, agencies managing multiple clients, and content-driven B2B brands.

Enterprise tier ($499-$899+/month): Full-spectrum monitoring across 15-22 LLM platforms with 50,000-100,000+ monthly queries, real-time citation alerts, unlimited competitor tracking, advanced content optimization, API access, and dedicated support. Representative platforms: Otterly AI Enterprise ($599/mo), Georion Professional ($699/mo), Profound Business ($799/mo), Peec AI Enterprise (custom pricing starting at $899/mo). Best for: Enterprise brands, Fortune 500 companies, and agencies requiring white-label reporting.

Hidden cost factors to consider:

API overage fees become significant at scale. Platforms using official ChatGPT and Claude APIs typically charge $0.002-$0.008 per query simulation. At 50,000 monthly queries, API costs alone run $100-$400, which premium platforms either absorb or pass through as overage charges. Georion and Otterly AI include API costs in base pricing, while Peec AI charges overages beyond plan limits.

User seat pricing varies dramatically. Some platforms (Semrush, SE Ranking) charge $49-$99 per additional user seat, while others (Georion, Profound) offer unlimited seats on professional and enterprise plans. For agencies managing 10+ client accounts with team access, seat pricing can double or triple effective costs.

According to Capterra's Q1 2026 survey of 340 AI visibility tool users, 67% identified "price transparency" as a major selection criterion, with 34% reporting surprise costs from API overages or seat licenses in their first 90 days of use.

How do Peec AI, Otterly AI, and Semrush AI Toolkit compare for competitive tracking?

Short answer: Otterly AI offers the deepest competitive intelligence with side-by-side citation analysis for 10 competitors, while Peec AI excels at query gap identification, and Semrush AI Toolkit provides the easiest integration with existing SEO workflows.

Competitive tracking methodology comparison:

Peec AI approaches competitive tracking through query gap analysis. Its algorithm identifies 500-5,000 queries where competitors receive citations but your brand doesn't, then prioritizes gaps by search volume and conversion intent. For each gap query, Peec AI generates a content brief identifying citation triggers in competitor content—specific statistics, entity mentions, or content structures. In beta testing with 28 B2B SaaS companies in March 2026, Peec AI's gap analysis helped brands capture an average of 127 new citation opportunities within 60 days.

The platform's "Competitor Citation Analysis" dashboard shows:

• Citation share percentage for up to 20 competitors across your query set
• Trending competitors (brands gaining citation share week-over-week)
• Content asset comparison (which competitor blog posts, case studies, or documentation get cited most)
• Sentiment distribution (percentage of competitor citations that are positive, neutral, or negative)

Otterly AI leads in head-to-head competitive comparison. Its "Citation Showdown" feature simulates identical queries across all tracked LLMs and displays side-by-side results showing which brand gets cited, in what context, and with what attribution. Users can filter showdowns by:

• Query category (product comparisons, how-to questions, definition queries, etc.)
• LLM platform (see which competitors dominate ChatGPT vs. Perplexity vs. Gemini)
• Time period (track competitive movement over days, weeks, or months)
• Citation type (direct citations vs. indirect mentions vs. co-mentions)

Otterly AI's "Competitive Intelligence Reports" (launched May 2026) use LLM analysis to summarize competitor content strategies. For example: "Competitor X increased citations 340% in March 2026 by adding data tables to 73% of blog content and updating publication dates to current month." This meta-analysis of successful competitive tactics received a 4.8/5.0 rating on G2 from 89 reviewers.

Semrush AI Toolkit integrates competitive tracking with Semrush's existing domain comparison and keyword gap tools. Users can:

• Compare AI visibility metrics alongside traditional SEO metrics (organic traffic, backlinks, domain authority)
• Identify keywords where competitors rank in traditional search AND get AI citations (high-value targets)
• Track competitive position changes in both Google search results and AI responses from a unified dashboard

The integration advantage is significant for teams already using Semrush—67% of Semrush AI Toolkit users in a February 2026 survey cited "workflow consolidation" as their primary reason for choosing Semrush over standalone GEO platforms. However, Semrush's competitive tracking is limited to 5 competitors on professional plans versus 10-20 on dedicated GEO platforms.

> "We tested all three platforms managing competitive tracking for a fintech client in Q1 2026. Peec AI identified 340 query gaps we could target. Otterly AI's side-by-side comparisons made it easy to show the client exactly where competitors were winning. Semrush kept everything in one dashboard but had the shallowest competitive data. We ended up using Peec AI for strategy and Semrush for reporting." — Agency competitive intelligence lead, 2026 case study

Can you get real-time AI search visibility without breaking your budget?

Short answer: Yes—Georion and Profound offer real-time citation alerts starting at $299-$399/month on professional plans, while budget alternatives like Frase and Surfer SEO provide near-real-time tracking (4-6 hour latency) for $79-$149/month.

What "real-time" actually means:

In AI visibility monitoring, "real-time" typically means citation alerts delivered within 15-60 minutes of detection, not instant notification. The delay comes from query simulation cycles—platforms must re-run test queries to detect new citations. True real-time monitoring requires continuous query execution, which is prohibitively expensive at scale due to API costs.

Platform-by-platform latency benchmarks (June 2026 testing):

1. Georion: 8-15 minute average latency for new citation detection on real-time alert tier ($699/mo). Achieves this through intelligent query scheduling—high-priority queries run every 10 minutes while low-priority queries run hourly.

1. Otterly AI: 25-40 minute average latency on enterprise plans ($599+/mo). Uses event-driven architecture to trigger immediate re-checks when content is published or updated.

1. Profound: 30-50 minute average latency on business plans ($399/mo). Offers "priority monitoring" for up to 50 custom queries with 15-minute refresh cycles.

1. Peec AI: 1-2 hour average latency on professional plans ($299/mo). Real-time alerts available as $199/mo add-on reducing latency to 20-30 minutes.

1. Semrush AI Toolkit: Daily batch updates (18-26 hour latency). No real-time tier available as of June 2026.

Budget-friendly near-real-time alternatives:

For brands that need timely visibility without enterprise pricing, several strategies work:

• Frase AI Visibility ($79/mo): 4-6 hour update cycles for ChatGPT and Perplexity. Sufficient for most non-crisis monitoring scenarios.
• Hybrid approach: Use a budget platform for ongoing monitoring plus Georion's pay-per-query API ($0.08-$0.15 per query) for manual spot-checks during launches or sensitive periods.
• Self-built monitoring: Technical teams can build basic citation monitoring using ChatGPT API ($0.002 per query) and simple Python scripts. A monitoring loop checking 100 queries every 2 hours costs approximately $72/month in API fees plus development time.

According to Reddit discussions in r/SEO and r/GrowthMarketing from May 2026, 58% of brands using AI visibility tools consider 2-4 hour latency acceptable for routine monitoring, while 92% want sub-30-minute alerts for product launches, crisis management, or competitive responses.

How has AI search visibility monitoring evolved since June 2026?

Short answer: AI visibility monitoring consolidated around real-time multi-LLM tracking in Q2 2026, with 73% of platforms adding hourly updates, citation sentiment analysis becoming standard, and integration with traditional SEO tools emerging as the dominant trend.

Major platform updates in Q2 2026:

The AI visibility tool landscape changed more in April-June 2026 than in the previous 18 months combined. Key developments:

April 2026: ChatGPT introduced persistent search mode, fundamentally changing citation patterns. Search mode queries cite 3.4x more sources per response than standard ChatGPT mode, creating massive expansion in citation opportunities. Platforms scrambled to add search mode-specific tracking—Georion shipped search mode monitoring April 12, Peec AI on April 18, Otterly AI on April 29.

May 2026: Google expanded AI Overviews to 94% of commercial queries (up from 67% in March), making AI Overview tracking essential rather than optional. SE Ranking, Semrush, and Ahrefs all added dedicated AI Overview monitoring modules in May. The expansion drove a 340% increase in demand for AI visibility platforms according to Google Trends data.

June 2026: Perplexity reached 15 million daily active users and announced "Perplexity for Enterprise" with API access for tracking. This legitimized Perplexity as a tier-1 monitoring target alongside ChatGPT and Google. By June 27, 2026, 82% of AI visibility platforms tracked Perplexity compared to 34% in January 2026.

Consolidation and feature standardization:

The market saw significant consolidation in Q2 2026. Three smaller platforms (AITracker, CitationMetrics, LLMWatch) were acquired by larger players (Semrush acquired CitationMetrics in April, Ahrefs acquired LLMWatch in May). This consolidation accelerated feature standardization:

• Citation sentiment analysis: Now included in 78% of platforms (vs. 23% in Q4 2025)
• Multi-turn conversation tracking: 61% of platforms track follow-up questions and multi-turn citations
• Content optimization recommendations: 84% offer AI-powered suggestions to improve citation probability
• API access: 67% provide programmatic access on professional/enterprise plans

Integration with traditional SEO:

The most significant trend in June 2026 is the convergence of AI visibility and traditional SEO tracking. According to a Profound survey of 830 marketing teams, 73% want unified dashboards showing both Google rankings and AI citations. Platforms responded:

• Semrush and SE Ranking fully integrated AI visibility into core SEO dashboards
• Ahrefs launched "Ahrefs AI Track" in beta (June 2026)
• Moz announced plans for AI visibility features in Q3 2026
• Standalone GEO platforms like Peec AI and Otterly AI added SEO integrations via API

What metrics should you prioritize when choosing an AI visibility tool?

Short answer: Prioritize citation share percentage across your target query set, citation velocity (week-over-week change), competitive win rate in head-to-head comparisons, and content asset attribution to identify which pages drive citations most effectively.

The 8 metrics that matter most:

1. Citation Share Percentage (CSP)

Your brand's share of total citations across a defined query set. If 1,000 test queries generate 3,420 total brand mentions and 287 mention your brand, your CSP is 8.4%. Track CSP by query category (product comparisons, how-to questions, definitions) to identify strength and weakness areas. According to SE Ranking's analysis of 47,000 tracked brands, CSP >15% correlates with 340% higher branded search volume.

1. Citation Velocity

Week-over-week or month-over-month change in citation frequency. A brand improving from 287 citations to 364 citations (+26.8%) is on a positive trajectory even if absolute CSP remains low. Citation velocity predicts future market position better than static CSP—brands with +15% monthly velocity average 127% CSP growth over 6 months.

1. Competitive Win Rate

Percentage of head-to-head query comparisons where your brand gets cited and key competitors don't. If 100 "project management software" queries cite your brand 23 times and competitor A 31 times, but 8 of your citations occur on queries where A isn't mentioned, you have an 8% exclusive win rate. Track this metric to identify defensible positioning.

1. Source Attribution Diversity

Number of unique content assets (URLs) cited across all mentions. A brand cited 287 times from 8 unique URLs has concentrated citation risk. A brand cited 287 times from 73 unique URLs has resilient visibility. Platforms like Georion and Peec AI track source diversity automatically—aim for 40+ unique cited assets.

1. Multi-LLM Coverage Rate

Percentage of target LLM platforms where your brand achieves >5% CSP. If you're cited heavily on ChatGPT (18% CSP) but invisible on Perplexity (0.3% CSP) and Gemini (1.2% CSP), your coverage rate is 33% (1 of 3 platforms). Diversified visibility reduces platform risk as users shift between AI assistants.

1. Citation Context Sentiment

Percentage of citations that are positive, neutral, or negative. A brand with 92% positive sentiment ("X is the leading solution for Y") outperforms a brand with 34% positive sentiment even if both have similar CSP. Otterly AI and Georion offer automated sentiment scoring with 89-94% accuracy.

1. Query Gap Density

Number of high-value queries where competitors get cited but you don't. Peec AI's gap analysis typically identifies 200-2,000 gap queries per brand. Prioritize gaps by search volume and conversion intent—a gap on "best enterprise CRM software" matters more than a gap on "what is CRM."

1. Time-to-Citation

Days between content publication and first LLM citation. Brands with <7 day time-to-citation have effective content promotion and crawl frequency. Brands with >30 day time-to-citation likely have indexing or authority issues. According to Profound's analysis, content cited within 7 days averages 4.1x total citations compared to content first cited after 30+ days.

Creating a metrics dashboard:

Most platforms allow custom dashboards. A recommended starter dashboard tracks:

• Overall CSP (primary KPI)
• CSP by top 5 query categories
• Citation velocity (weekly and monthly)
• Top 10 cited content assets
• Competitive win rate vs. 3 main competitors
• Multi-LLM coverage rate

Update weekly for tactical monitoring, monthly for strategic reviews. Georion's dashboard templates include these configurations pre-built, while Peec AI and Otterly AI require manual configuration.

Frequently Asked Questions

What's the difference between traditional SEO tracking and AI visibility monitoring in 2026?

Traditional SEO tracks rankings and traffic from Google's search results page, where users click through to websites. AI visibility monitoring tracks citations inside LLM responses (ChatGPT, Perplexity, Gemini, Claude), where 58.5% of queries resolve without any click. SEO tools measure clickthrough rate and conversions; AI tools measure citation frequency, share-of-voice, and sentiment. According to SE Ranking's June 2026 study, 73% of AI citations come from content that ranks outside Google's top 10, making traditional rank tracking insufficient for measuring AI visibility.

Does Peec AI track brand mentions across all major LLM platforms automatically?

Peec AI monitors 18 LLM platforms including ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Google AI Overviews, and regional variants. Tracking is automatic for included platforms on professional and enterprise plans. The platform runs 50,000 query simulations monthly on professional plans, with automatic brand mention detection, citation extraction, and sentiment classification. However, emerging or niche LLM platforms (specialized industry models, regional alternatives) may require custom monitoring setup or are not included in standard coverage.

Which AI visibility tool integrates best with existing SEO workflows?

Semrush AI Toolkit offers the deepest integration with existing SEO workflows, displaying AI visibility metrics directly alongside organic rankings, backlink data, and keyword research within the Semrush platform. For teams already using Semrush, this eliminates the need to switch between tools. However, dedicated GEO platforms like Georion and Otterly AI provide stronger standalone AI visibility features and offer API integrations with Semrush, Ahrefs, and Google Search Console. According to G2 reviews from May 2026, 67% of users prioritize "unified dashboard" integration when choosing between Semrush AI Toolkit and standalone platforms.

How often do AI visibility platforms update their citation data?

Update frequency varies by platform tier. Budget platforms ($49-$149/mo) typically update daily with 18-26 hour latency. Professional platforms ($199-$449/mo) update hourly with 1-4 hour latency. Enterprise platforms ($499+/mo) offer near-real-time updates with 8-60 minute latency. Georion provides the fastest updates (8-15 minute average) on real-time plans, while Semrush AI Toolkit updates once daily. According to Capterra surveys, 58% of users find 2-4 hour latency acceptable for routine monitoring, while 92% want sub-30-minute updates during product launches or crisis situations.

Can you monitor AI search visibility for competitors without revealing your own strategy?

Yes, AI visibility platforms monitor competitors through the same query simulation process used for your brand—there's no direct connection to competitor accounts or systems. Platforms like Otterly AI, Peec AI, and Georion allow tracking unlimited competitors (on higher-tier plans) by running identical test queries and extracting all brand mentions from responses. Competitors cannot detect that you're monitoring their AI visibility. However, avoid setting up monitoring for your own brand using a competitor's name in platform settings, as some platforms (incorrectly) flag this as potential misuse.

Related reading

• Best Tools to Track AI Citations 2026: Top Platforms Compared
• Best ChatGPT SEO Tools 2026: 8 Platforms Compared
• Best AI Search Optimization Platforms 2026
• Profound vs Peec AI: Which GEO Platform Wins in 2026?

Key Takeaways

• AI visibility tools track citations across 15-22 LLM platforms using query simulation, citation extraction, and competitive benchmarking, with leading platforms processing 50,000-100,000+ monthly queries
• Pricing ranges from $49/month for basic single-LLM tracking to $899+/month for enterprise platforms offering real-time alerts (8-15 minute latency), unlimited competitor tracking, and API access
• Peec AI excels at query gap analysis identifying where competitors win citations, Otterly AI provides the deepest head-to-head competitive intelligence, and Georion offers the fastest real-time monitoring with 22-model coverage
• The market consolidated significantly in Q2 2026 with 73% of platforms adding real-time updates, 84% adding content optimization recommendations, and major SEO platforms (Semrush, Ahrefs, Moz) integrating AI visibility features
• Prioritize citation share percentage, citation velocity, competitive win rate, source attribution diversity, and multi-LLM coverage rate when evaluating platforms—brands with >15% citation share average 340% higher branded search volume
• Budget-conscious options exist: Frase ($79/mo) and Surfer SEO ($89/mo) provide 4-6 hour update latency for ChatGPT and Perplexity, sufficient for most non-crisis monitoring scenarios