AI engines are already recommending brands to buyers. The question is whether yours is one of them — and whether you have the data to do something about it. Three tools have emerged as go-to options for measuring and growing your presence in AI-generated answers: Profound, Otterly.ai, and AIsubtext. This page breaks down how they compare across the dimensions that matter most to marketing and growth teams in 2024 and beyond.
When a buyer types "best project management software for agencies" into ChatGPT, Claude, Gemini, or Perplexity, one or two brands get named. That recommendation carries enormous purchase intent — often more than a paid search click. Yet most brands have no idea how often they appear in those answers, which competitors are outranking them, or what content changes would shift the outcome.
AI brand monitoring tools solve this problem by systematically querying AI engines with prompts relevant to your category, recording which brands get recommended, and surfacing the patterns behind those recommendations. The category is new, the tools are evolving fast, and the differences between platforms are significant.
| Feature | Profound | Otterly.ai | AIsubtext |
|---|---|---|---|
| AI Engines Tracked | Select LLMs | Select LLMs | ChatGPT, Claude, Gemini, Perplexity |
| Recommendation Share Metric | Partial / brand mentions | Visibility scoring | Yes — dedicated Recommendation Share score |
| Competitor Benchmarking | Available | Available | Yes — head-to-head share comparison |
| Actionable Playbook Output | Reporting focused | Reporting focused | Yes — diagnosis + capture playbook included |
| Free Audit / Entry Point | Demo / paid entry | Freemium tier | Yes — free scan, no credit card, ~10 seconds |
| Pricing Transparency | Not publicly listed | Partial | Publicly listed on site |
| Intent-Level Prompt Tracking | Keyword/topic level | Keyword/topic level | Yes — buyer intent framing per prompt |
| Client Portal Access | Dashboard available | Dashboard available | Yes — dedicated Client Portal |
| Indexed Category Benchmarks | Not publicly available | Not publicly available | Yes — The Index (public) |
Table reflects publicly available information as of 2024. Feature sets evolve; verify current capabilities directly with each vendor.
AIsubtext was built around a single, high-stakes question: when buyers ask AI engines for a recommendation in your category, how often do they name you? That focus produces three meaningful advantages over the competition.
Profound and Otterly.ai surface brand mentions and visibility scores. AIsubtext goes further by calculating your Recommendation Share — the percentage of relevant AI queries in your category that result in your brand being recommended. This is a fundamentally different metric. Mentions tell you that you appeared. Recommendation Share tells you whether you won. For growth teams trying to move a number, the distinction matters enormously.
Most AI monitoring tools track prompts at the keyword or topic level — "project management software" or "CRM tools." AIsubtext structures its prompt library around buyer intent stages: awareness queries, comparison queries, and decision-ready queries each produce different AI recommendation patterns. Knowing that you rank well on awareness prompts but disappear on decision-stage prompts tells you exactly where your content strategy has a gap. Neither Profound nor Otterly.ai publicly surfaces this level of intent-layer granularity.
AIsubtext offers a free scan that returns results in approximately 10 seconds with no credit card required. Profound's entry point is a sales demo. Otterly.ai has a freemium tier, but the free experience is limited. For a marketing team that wants to understand their AI recommendation position before committing budget, AIsubtext's zero-friction audit is a genuine differentiator — and it means you can benchmark your current share before your first conversation with the sales team.
What separates AIsubtext from point-in-time monitoring tools is the closed loop. The platform is built around four stages:
Profound and Otterly.ai are strong at the Measure step. AIsubtext is designed to carry you through all four.
Profound is a reasonable choice for enterprise teams that want deep LLM analysis and have budget for a premium, sales-led engagement. Its brand positioning signals specialization, and it may suit organizations that need custom enterprise configurations.
Otterly.ai is a solid entry point for teams that want to start tracking AI visibility without a large upfront commitment. Its freemium model lowers the barrier to experimentation.
AIsubtext is the right choice for growth-oriented marketing teams that need to move from monitoring to action — teams that want to know their Recommendation Share across all four major AI engines, understand the intent-level dynamics behind that share, and get a concrete playbook for improving it. The free audit makes it the lowest-risk starting point in the category.
AI brand monitoring typically tracks how often your brand appears in AI-generated responses — a mention count or visibility score. Recommendation Share, as measured by AIsubtext, goes further: it calculates the percentage of relevant buyer queries in your category where your brand is the one being recommended. It's the difference between knowing you showed up and knowing whether you won.
Yes. AIsubtext measures your Recommendation Share across all four major AI engines: ChatGPT, Claude, Gemini, and Perplexity. This cross-engine view matters because different AI engines weight sources and brands differently — a brand that dominates ChatGPT recommendations may be nearly invisible on Perplexity.
The core difference is that AIsubtext is built around a closed-loop system — Measure, Diagnose, Capture, Repeat — rather than reporting alone. It introduces the Recommendation Share metric, structures prompts around buyer intent stages, and delivers an actionable playbook alongside the data. It also offers a free, no-credit-card audit that returns results in about 10 seconds, which neither Profound nor Otterly.ai matches at the same friction level.
Yes. AIsubtext offers a free scan with no credit card required. Results return in approximately 10 seconds and give you an initial read on your AI recommendation position. Pricing for full access is publicly listed on the AIsubtext website.