If I hear the phrase "AI visibility" one more time without a corresponding metric, I am going to lose it. In the last year, I’ve seen agency decks claim "100% visibility" across LLMs without a single shred of evidence regarding how they track individual model responses or how that data reconciles with GA4. If you can’t show me what I’d put in a weekly report, you aren’t selling a visibility platform—you’re selling a hallucination.
As someone who has spent nine years in the SEO trenches and migrated countless clients to advanced GA4 and Adobe Analytics setups, I don’t care about "buzzword" coverage. I care about how many times your brand was cited by Perplexity, whether that citation led to a branded search, and if that search converted. Let’s cut through the fluff and look at the platforms actually changing how we measure this channel.
AI Search as a Measurable Revenue Channel
For a long time, SEOs treated AI search as a "black box." It wasn't. It was just a lack of tooling. When we look at AI search as a revenue channel, we aren't just looking at generic rankings. We are looking at brand mention tracking and citation tracking. If an LLM recommends your software over a competitor’s in a "best of" query, that is a direct path to the bottom of the funnel. If that interaction doesn't appear in your GA4 or Adobe Analytics attribution model as a source of referral or assisted conversion, you’re flying blind.
Brand Mentions vs. Citations vs. Share of Voice (SOV)
When you start shopping for the best AI visibility platform, you need to understand exactly what you are measuring. These terms are not interchangeable:
- Brand Mentions: The LLM acknowledges you exist. This is the baseline. It’s vanity until it hits a specific threshold of semantic relevance. Citations: The LLM provides a direct link or a strong signal to a specific URL. This is where your SEO efforts start to influence the AI output. Share of Voice (SOV): The percentage of queries where your brand is present versus your competitors. This is the only metric that matters for a weekly executive report.
If your reporting tool doesn't break these down, you aren't doing SEO; you're playing guessing games.
Tool Breakdown: The Landscape
When evaluating tools like Semrush, Peec AI, and Otterly AI, I look at one thing first: What engines do they actually cover? If they claim "everything," I ask to see the list. If they can’t show me the specific LLM versions (e.g., GPT-4o, fingerlakes1.com Claude 3.5 Sonnet, Gemini 1.5 Pro) and the update cadence, it's a red flag.
Semrush
Semrush is the "old guard" of SEO that has successfully integrated AI features into their broader platform. Their strength isn't just in raw AI mentions; it's in their massive historical database. They provide a high-level view of how traditional SEO correlates with emerging AI traffic. However, for deep, specific LLM citation tracking, it is often a broader tool compared to specialized AI platforms.
Peec AI
Peec AI is a challenger in the space specifically targeting the mechanics of AI visibility. They focus heavily on how brands show up within chat-based search results. What I appreciate about their approach is the focus on "why" a brand is or isn't being cited. Their data depth is becoming a significant asset for teams that need to audit their prompt engineering and content strategy specifically for AI ingestion.
Otterly AI
Otterly AI has carved out a niche in monitoring how brands are talked about across various AI surfaces. They are particularly useful for brands that rely on reputation management and want to see how their brand sentiment shifts within AI answers. Their focus is less on broad SEO metrics and more on the granular "citation" aspect of the interaction.
Integration and the "Weekly Report" Problem
My first question to any vendor is: "What would I show in a weekly report?" If the tool exists in a vacuum, it’s useless. You need a platform that plays nice with your existing stack. Whether you are using GA4 integration or a sophisticated Adobe Analytics setup for cross-platform attribution, your AI visibility platform must provide API access or webhook capabilities to pull data into your reporting layer.
Common Mistake: Relying on manual exports. In 2024, if you aren't automating your data pipeline, you’re wasting time. Look for platforms that allow you to pipe your citation frequency directly into your BI tool alongside your organic traffic data.
Key Feature Comparison
Feature Semrush Peec AI Otterly AI Primary Focus Traditional & AI SEO AI Chat Search Visibility Citation/Sentiment Tracking Engine Coverage Broad (Search Engines) Focused (LLM/Chat) Focused (LLM/Chat) Analytics Sync Deep GA4/Adobe Developing API Developing API Data Depth Highest (Historical) High (Real-time AI) High (Sentiment focused)Data Sources and Update Cadence: The "Quiet" Killer
Most platforms will hide their "data freshness" in the fine print. You need to know: How often is the prompt database updated? If you are tracking a brand in a fast-moving vertical, a monthly update is worthless. You need weekly—or ideally daily—scans of LLM outputs. I reject any platform that doesn't disclose its crawler source or the size of its prompt database. If they won’t tell you where the data comes from, you are essentially buying a black box.
Addressing the Pricing Trap
I have seen many blog posts "reviewing" these platforms and making up pricing tiers or suggesting packages that don't exist. Let me be clear: I will not invent prices. Enterprise software pricing is volatile and highly dependent on seat count, query volume, and API requirements. If you are an SEO lead, stop looking for a "Pro" plan price tag and start looking for an annual platform fee that fits your department's budget. Contact the vendors for a custom quote—if a company refuses to give you a demo because your company is "too small," they aren't the right partner for your growth stage anyway.
Final Verdict: How to Choose
Choosing the best AI visibility platform depends entirely on your current maturity model:
If you are a mature SEO team already using Semrush: Start by utilizing their AI-specific modules. They offer the best integration into your existing GA4 workflows. If you are hyper-focused on AI search share of voice: Peec AI is currently the most tactical for teams that need to optimize content for chat interfaces. If you are focused on brand reputation in AI models: Otterly AI provides the best focus on citations and sentiment across diverse AI surfaces.Whatever you choose, do not compromise on the integration. If you cannot pull your AI citation data into your master dashboard alongside your organic sessions and conversion data, you are not measuring anything. You’re just looking at shiny charts. And in the world of professional analytics, charts without actions are just noise.
Final note to stakeholders: Stop asking for "AI Visibility" metrics. Start asking for "AI-attributed referral growth." The shift in language will change how your entire organization perceives the value of your SEO team.