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

Two tools dominate the AI visibility space in 2026: Profound and Share of Model. Both let brands measure how often they appear in ChatGPT, Perplexity, Gemini, and other AI surfaces. Both are venture-backed, both are growing fast, and both promise to become the Google Search Console of the AI era. They are also built on very different philosophies, and the right choice depends on what you actually need to track.

This article walks through how each tool works, what they measure, what they cost, and which one fits which kind of brand.

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.

According to Semrush's AI SEO data from 2026, AI visibility tracking has become a standard practice for marketing teams, with AI Overviews now appearing in up to 25% of Google search results and brands racing to track their citation rates across LLMs. The category is moving fast.

Profound positions itself as the comprehensive enterprise tool. It monitors citations across ChatGPT, Perplexity, Gemini, and Claude on a continuous schedule. Brands define a list of target queries, and Profound runs them through each AI surface daily, parsing answers and logging citation data.

Strengths:

• Coverage across the four major AI platforms
• Competitive benchmarking against named competitors
• Sentiment analysis on how the brand is described in responses
• Enterprise-grade reporting and API access

Weaknesses:

• Pricing is opaque and tilts toward larger budgets (typically starts in the low thousands per month)
• Setup requires defining and maintaining query lists, which takes effort
• Dashboards are dense and can be overwhelming for small teams

Best for: enterprise marketing teams that need cross-platform coverage and have budget for a dedicated tool.

Share of Model takes a different angle. Instead of counting individual citations, it measures the percentage of relevant queries where your brand is mentioned. The output is a single, intuitive metric: your share of the AI conversation.

Strengths:

• Single metric that translates well to executive reporting
• Simpler setup than Profound, with pre-built query templates by industry
• Lower price point, more accessible for mid-market teams
• Strong UX, easier to demo internally

Weaknesses:

• Coverage is currently lighter than Profound on niche AI platforms
• Less granular data per query, fewer drill-down views
• Sentiment analysis is more basic

Best for: marketing teams that need a clean board-friendly metric and want to track AI visibility without managing a complex tool.

A direct comparison of the two on the dimensions that matter most.

• Platform coverage. Profound covers ChatGPT, Perplexity, Gemini, and Claude. Share of Model covers ChatGPT, Perplexity, and Gemini, with Claude in beta as of mid-2026.
• Reporting metric. Profound reports raw citation counts per query and per platform. Share of Model reports a single percentage that aggregates across queries.
• Setup time. Profound takes 2 to 4 weeks to fully configure. Share of Model is closer to 1 to 2 weeks with pre-built templates.
• Pricing. Profound starts in the low thousands per month. Share of Model starts in the low hundreds.
• Best fit. Profound for enterprise visibility ops. Share of Model for marketing teams that report to a CMO or board.

If you have a marketing ops team and need cross-platform granularity for a brand competing against named players, Profound is the safer bet. The depth pays off when you have to defend a strategy with data.

If you are a mid-market brand that wants to start tracking AI visibility without building a heavy ops practice around it, Share of Model is the easier on-ramp. The simplicity is a feature, not a bug.

Some brands run both. Profound feeds the analytics layer, Share of Model feeds the executive dashboard. It is overkill for most, but it does happen at the high end.

Neither tool fixes the underlying citation problem. They measure visibility, they do not produce it. To improve your numbers in either tool, you still need to do the work: restructure pages for extractability, publish content that gets cited, build authority signals across platforms.

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 pull Profound and Share of Model pricing down. Expect self-serve tiers aimed at small brands by end of 2026.
• Deeper competitive benchmarking. Both tools are racing to add side-by-side competitor reports with automated alerts. Share of Model is expected to close the gap with Profound's drill-downs within two product cycles.
• Closer 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 choice for growth teams already running weekly SEO reviews.

Picking a tool today does not lock you in forever. Both companies publish migration tooling, and the underlying query lists transfer.

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.