Profound vs Share of Model: Which AI Visibility Tool Should You Use?

A new category of tools has emerged in 2025 and 2026: AI visibility platforms. They measure whether your brand gets cited when someone asks ChatGPT, Perplexity, or Gemini a question. Traditional SEO tools cannot see this. Google Search Console tells you nothing about what happens inside an AI conversation. These tools fill that gap.

The market is still early and fragmented. More than a dozen platforms compete, from enterprise solutions to free tiers. Two names come up most in the conversation: Profound and Share of Model. This article compares both, maps the broader landscape, and explains what matters when choosing a tool.

A few years ago, brand visibility was measured on Google rankings, ad impressions, and share of voice in social. None of those metrics capture what happens when a customer asks ChatGPT for a recommendation. The AI either includes you or skips you, and traditional analytics show nothing. With ChatGPT alone reaching over 900 million weekly active users in early 2026, according to TechCrunch, the blind spot is no longer marginal.

AI visibility tools fill the gap. They run queries on a schedule against the major AI platforms, parse the responses, and report whether your brand was mentioned, cited, or ignored. The output is the closest thing to a search rank for the AI era.

Profound is the most established enterprise player. Used by brands like MongoDB, Ramp, and Mercury, it monitors citations across 9 AI engines: ChatGPT, Perplexity, Gemini, Claude, Grok, Copilot, Meta AI, DeepSeek, and Google AI Overviews.

What sets it apart: Profound captures responses directly from the browser, not through API calls. What you see in the dashboard is exactly what your customer sees when they query ChatGPT. It also offers a unique Prompt Volumes feature that shows what people actually ask AI platforms, similar to a keyword planner but for the AI era.

Strengths:

• Widest engine coverage (9 AI platforms)
• Daily visibility runs with browser-level capture
• Competitive benchmarking, sentiment analysis, and citation source tracking
• Agent Analytics to track how AI crawlers interact with your site

Weaknesses:

• Pricing starts at $499 per month (Lite tier, 3 seats). Enterprise is custom and higher.
• Setup requires defining and maintaining query lists
• Dashboards are dense and can overwhelm small teams

Best for: enterprise marketing teams with budget for a dedicated tool and a need for cross-platform granularity.

Share of Model is a newer, smaller platform. It tracks brand perception across LLMs and generative search engines through four modules: Brand Perception, Search Visibility, Asset Evaluation, and Activation.

The "share of model" concept is also widely used as a metric name across the industry, similar to "share of voice." Several tools report a share of model score. The platform of the same name uses this metric as its core output: a single percentage showing your brand's share of the AI conversation.

Strengths:

• Clean single metric that translates well to executive reporting
• Asset evaluation module tests creative performance against AI models before launch
• Activation integrations with Google Ads and Pencil for campaign execution
• Simpler setup than Profound

Weaknesses:

• Smaller platform with less public social proof than Profound
• Engine coverage narrower (ChatGPT, Perplexity, Gemini, Google AI Overviews)
• Less community documentation and fewer third-party reviews

Best for: marketing teams that want a clean board-friendly metric and direct activation integrations without managing a complex monitoring stack.

Profound and Share of Model are not the only options. The AI visibility category has over a dozen tools in 2026, each with a different angle.

• Promptwatch ($99 to $579 per month). Strong monitoring with content gap analysis. Often cited as the best value alternative to Profound.
• SE Ranking Visible (from $65 per month). AI rank tracking that integrates with the existing SE Ranking SEO suite. Good for teams already in that ecosystem.
• Otterly.AI (from $25 per month). Lower-cost monitoring focused on ChatGPT, Gemini, and Perplexity.
• Trakkr. Citation tracking with competitive benchmarking and alert systems.
• LLM Insight. Free tier available. Covers ChatGPT, Perplexity, Gemini, Claude, and Copilot with scheduled prompt execution.
• AirOps Insights. Brand monitoring across major LLMs with share of voice analysis.

For smaller teams or brands starting from zero, a free or low-cost tool gives you a baseline before committing to Profound-level pricing.

The decision depends on three things: budget, team size, and what you will actually do with the data.

• Enterprise brand, $500+ monthly budget, ops team. Profound is the safest bet. The depth pays off when you need to defend strategy with data. Widest coverage, most mature product.
• Mid-market brand, needs exec-friendly reporting. Share of Model or Promptwatch. Simpler setup, clean output, lower price.
• Small team, just starting to track AI visibility. LLM Insight (free tier) or Otterly.AI. Get a baseline before investing in a paid tool.
• Already using SE Ranking for SEO. SE Ranking Visible integrates naturally with your existing stack.

Every tool in this category measures visibility. None of them produce it. To improve your numbers, you still need to do the work: restructure pages for extractability, publish content that AI tools want to cite, build authority signals across platforms like Reddit, YouTube, and industry publications.

This is where the work overlaps with broader AI citation optimization. The tool tells you where you stand. The strategy moves the number.

The category is still early. Three movements to watch through 2026 and into 2027.

• Price compression. More tools entering the space will push pricing down. Expect self-serve tiers aimed at small brands by end of 2026.
• Closed-loop execution. The next wave of tools will not just monitor citations but actively help you improve them: generating content, distributing it to high-citation surfaces, and measuring the impact in the same platform.
• Integration with Google Search Console and GA4. The next logical step is stitching AI citation data into existing SEO reporting. Whoever ships that first becomes the default for growth teams already running weekly SEO reviews.

Picking a tool today does not lock you in. The underlying query lists transfer between platforms, and most tools offer export functionality.

L'Atelier Growth designs, builds, and operates AI visibility systems end to end. Tool selection (Profound, Share of Model, or a custom n8n tracker), query design, content optimization, and the full loop that turns visibility data into citation gains. We run the loop, not just the dashboard. Contact L'Atelier Growth to scope what the right setup looks like for your brand.