AEO monitoring tools compared: Profound vs Otterly vs Peec AI — three platforms that dominate the AI search visibility monitoring market in 2026. Otterly leads on query-based citation tracking with the most intuitive dashboard. Profound excels at discovery-oriented monitoring that surfaces unexpected brand mentions. Peec AI provides the deepest competitive intelligence for brands in contested categories. Each tool serves a different monitoring philosophy, and the right choice depends on whether you need to track known queries, discover unknown citations, or benchmark against competitors.
Otterly: Best for Query-Based Citation Monitoring
Otterly's core philosophy is query-first. You define the set of queries that matter to your business — brand queries, category queries, competitor queries — and Otterly monitors them continuously across ChatGPT, Perplexity, Google AI Overviews, and Claude. The dashboard shows citation frequency, position quality, sentiment, and share of voice for each query.
Key strengths. Otterly's query-based approach produces the most actionable data for brands that know what they want to track. The dashboard is clean and intuitive, designed for weekly check-ins rather than deep analytical dives. Alerting is strong — you get notified when a competitor spikes in citation frequency for a shared query or when your brand drops out of a query where it previously appeared.
Key limitations. Query-based monitoring means you only see what you ask for. If your brand is being cited for queries you have not configured, Otterly will not surface those citations. The tool is excellent at tracking known visibility but less effective at discovering new visibility.
Pricing. Otterly starts at 49 dollars per month for basic brand monitoring (50 queries, 3 AI platforms) and scales to 299 dollars per month for competitive tracking with API access and unlimited queries.
Best for. Brands with a defined content strategy and known keyword universe that want to track AI search visibility against specific queries.
Profound: Best for Discovery-Oriented Monitoring
Profound's core philosophy is discovery-first. Instead of requiring you to define queries upfront, Profound indexes AI search results broadly for your brand and surfaces unexpected citations — the queries where your brand is being mentioned that you did not know about. The discovery capability is Profound's key differentiator.
Key strengths. Profound's discovery engine identifies citation opportunities that query-based tools miss. If your brand is being cited for an emerging category query or a long-tail question you have not optimized for, Profound surfaces it. The analytics integration — connecting AI citation data to Google Analytics referral traffic — closes the loop from AI visibility to website impact.
Key limitations. The discovery-first approach produces noisier data than query-based monitoring. You will see citations in contexts that are not strategically relevant, and the signal-to-noise ratio requires more manual filtering. The dashboard is more complex than Otterly's, with a steeper learning curve.
Pricing. Profound starts at 79 dollars per month for brand discovery monitoring with analytics integration and scales to 349 dollars per month for enterprise plans with custom dashboards and multi-brand management.
Best for. Brands early in their AEO journey that do not know which AI queries they should be monitoring, or brands with broad content strategies that want to discover unexpected AI search visibility.
Peec AI: Best for Competitive Intelligence
Peec AI's core philosophy is competitive-first. The platform benchmarks your AI visibility against specific competitors across shared query sets and provides detailed gap analysis showing where competitors are cited and you are not. Peec AI treats AI search visibility as a competitive battleground rather than an isolated brand metric.
Key strengths. Peec AI's competitive gap analysis is the deepest in the market. For each query where a competitor is cited but your brand is not, Peec AI provides the competitor's cited content URL, the citation context, and an estimated search volume for the query. This makes the gap analysis immediately actionable — you know exactly which competitor content to analyze and which queries to target.
Key limitations. Peec AI is the most expensive of the three tools and its competitive features require at least three identified competitors to deliver value. For brands in emerging categories without clear competitors, Peec AI's competitive-first approach is less useful than Profound's discovery approach.
Pricing. Peec AI starts at 99 dollars per month for basic competitive tracking (3 competitors, 100 queries) and scales to 499 dollars per month for advanced competitive intelligence with custom reporting and API access.
Best for. Brands in established, competitive categories where AI search visibility is a zero-sum game and understanding the competitor landscape is as important as tracking your own visibility.
Which AEO Monitoring Tool Should You Choose?
Start with Otterly if you have a defined content strategy and want to track AI search visibility against specific queries with minimal setup complexity. Otterly's pricing, dashboard, and alerting make it the best entry point for most brands.
Add Profound if you need discovery-oriented monitoring to surface unexpected citations and want analytics integration for attribution tracking. Profound is a complement to Otterly, not a replacement — the two tools have different monitoring philosophies that work well together.
Upgrade to Peec AI if you are in a competitive category where understanding competitor AI visibility is critical to your content strategy. Peec AI's competitive intelligence provides the deepest analytical layer, but you need a defined competitor set and the budget to support it.
How Conbersa Integrates AEO Monitoring Into Managed AI Search Services
Conbersa's AEO service uses Otterly for day-to-day citation monitoring, supplements with Profound for discovery monitoring, and deploys Peec AI for competitive deep-dives. The tool data feeds into a content strategy that prioritizes queries where AI visibility gaps exist and competitors are gaining ground.
The combination of multi-tool monitoring and managed content production and distribution creates an AI visibility flywheel: monitor → identify gaps → produce content → distribute to build authority → monitor improvement. Tools provide the intelligence. Conbersa provides the execution.
Learn more at https://www.conbersa.ai.