AI Visibility Tools Compared: Profound, Peec, Otterly, and BOIDA: A Situation-Based Guide for 2026

Pricing note. All prices in this article are reference figures based on publicly available information at time of writing. Tiers, included engines, and feature sets change. Confirm with each vendor's official materials before making budget decisions.

Once the AI visibility tool market passed ten options, the useful question changed. "What tools exist?" no longer gets you anywhere. The operative question is narrower: what fits your goals, your budget, and your language environment? Budget, the engines you need to track, Korean-language coverage, and how far past measurement you want to go, those four dimensions determine whether a tool belongs on your shortlist. This guide organizes that decision by situation, using verified facts. For detailed feature comparisons, see AI Visibility Monitoring Tools Compared 2026; for pricing structure, see GEO Tool Pricing Overview.

What AI Visibility Monitoring Tools Do

An AI visibility monitoring tool tracks how often a specific brand appears, and in what context, inside the synthesized answers that generative engines such as ChatGPT, Perplexity, and Gemini produce.

Measurement-only tools aggregate brand mention rates, cited URLs, sentiment tone, and competitor share of voice. They do not tell you what to change in your content to earn more citations.

Measurement-plus-execution tools connect the monitoring output to diagnosis, identifying which queries your brand misses and why, and carry that through to content and technical fixes. GEO research shows that optimizing content structure and citation signals produces meaningful changes in AI visibility^[4], which makes the step from measurement to action essential.

That distinction, measurement alone versus measurement tied to execution, is the central fork in tool selection as of 2026.

Three Selection Axes

Of the three axes, purpose should be locked in first. Teams that only need a baseline mention rate and teams that want to revise content have different shortlists from the outset. Budget comes second. Language and market environment comes third, if Korean-language campaigns drive revenue, global tools alone will leave coverage gaps.

Tool Positioning by Engine Count

Comparing the number of AI engines each major tool officially tracks reveals where each platform sits. Profound covers 10 or more; Scrunch AI and BOIDA BVI each cover 6; Peec AI covers 5; Otterly covers 4 in its base plan with add-ons available.^[1][3]

Engine count signals coverage strategy, not quality. The question isn't how many engines a tool covers in total, it's whether it covers the engines your customers actually use.

Situation-Based Recommendations: Six Scenarios

The table below maps the most common situations to the most appropriate tool. All listed prices are reference figures based on publicly available data and subject to change.^[1][2][3]

Scenario Detail

First-Time GEO Measurement: Otterly

Otterly.ai launched in Austria in 2024 as a bootstrapped SaaS. It sits in the entry-level price tier, the lowest publicly listed price band in the category (prices vary; verify before budgeting). The base plan covers four engines and includes a GEO Audit Tool for lightweight diagnosis. Claude and Gemini tracking require add-ons. Otterly fits teams measuring AI visibility for the first time or operating at small scale. Lower tiers cap the number of trackable queries and refresh frequency, so plan to upgrade as tracking scope grows.^[3]

Competitor Gap Analysis: Peec AI

Peec AI launched in Berlin in 2025 and raised a Series A of €18M. It tracks ChatGPT, Gemini, Perplexity, Copilot, and AI Overviews, five engines, with competitor gap analysis as its lead feature. Marketing teams that need a fast read on which queries they're losing to specific competitors will find the positioning well-matched. It falls in the mid-range price tier between entry-level and enterprise (prices vary; verify before budgeting).^[3]

Agent Experience Tracking: Scrunch AI

Scrunch AI launched in Salt Lake City in 2023 and raised a Series A of $15M. It tracks six engines, ChatGPT, Claude, Gemini, Perplexity, AI Mode, and Meta AI, and markets itself as an Agent Experience Platform (AXP). That framing goes beyond aggregating mention rates: the focus is on how AI agents interact with a site, not just whether the brand appears. It sits in the upper-mid price tier (prices vary; verify before budgeting).^[1]

Multi-Engine Enterprise Coverage: Profound

Profound launched in New York in 2024, with a Series C of approximately $96M and a valuation of roughly $1 billion reported in press coverage. It tracks 10 or more generative engines and adds Agent Analytics to map how AI agents visit and navigate a site. The Lite plan is in the enterprise price tier (prices vary; verify before budgeting). Profound fits large brands and agencies that need broad multi-engine coverage and agent-level analysis. For smaller teams, the feature set and cost may be disproportionate.^[1][3]

Existing SEO Tools: The Add-On Approach

Teams already on Semrush or Ahrefs get more value per dollar by activating AI visibility add-ons before purchasing a dedicated tool.^[2]

Semrush offers an AI Visibility Toolkit as an add-on, covering ChatGPT, SearchGPT, Google AI Mode, Gemini, and Perplexity. Ahrefs offers Brand Radar, tracking seven engines: ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, AI Mode, and Grok. Both let teams view AI visibility data inside a familiar SEO platform, which reduces operational overhead. Because they are add-ons rather than dedicated tools, teams that need deeper analysis should plan to either transition to a dedicated tool or run the two in parallel.

Korean-Language Environment + Measurement-to-Execution: BOIDA BVI and Others

Most global tools are built around English-language queries and may not capture Korean-language answer nuance or domestic search context fully. When Korean-language campaigns drive revenue, global tools alone leave coverage gaps.

BOIDA's BVI (Brand Visibility Index), a product of Designovel, released in December 2025, tracks six engines: ChatGPT, Claude, Gemini, Perplexity, Grok, and DeepSeek. It explicitly covers Korean-language AI responses. The workflow connects measurement, diagnosis, and execution in one sequence. Designovel has disclosed external signals including an ACM CHI 2026 paper acceptance and NVIDIA Inception membership. Pricing is inquiry-based.

On the domestic consulting side, agencies operating in this space include Next-T (positions itself as OPTIGEO-focused, founded 2015, Hanam, Gyeonggi), LeadgenLab (positions itself around AVO Framework, Seoul Seongsu), Ascent AI (built on the Listeningmind platform, founded 2013), and Across (positions itself as GPTO-focused, 2025). Each claims a distinct methodology; because these are self-described positions without third-party verification, confirm capabilities directly through each vendor's official materials before engaging.

Pre-Selection Checklist

Four questions narrow the shortlist fast.

1. Engines to track: Do you need Grok, DeepSeek, or Korean domestic engines, or are four to five major global engines sufficient?
2. Measurement endpoint: Is a mention-rate baseline enough, or does the output need to drive content revisions?
3. Existing tool overlap: If you're already on Semrush or Ahrefs, check their AI visibility add-on features before adding another subscription.
4. Language environment: Are your campaigns primarily in English, or do Korean-language queries drive meaningful revenue?

Those four answers map directly onto the recommendations in the table above. For a foundation on what GEO is, start with What is GEO. For what to do after selecting a tool, Multi-Engine Measurement covers execution sequencing. For the agency versus in-house versus solution decision, see GEO Recommended Companies.

Summary

The question to ask isn't "which is the best AI visibility tool?", it's "which fits our situation?" Entry-level: Otterly. Competitor gap focus: Peec AI. Agent experience: Scrunch AI. Enterprise multi-engine: Profound. Teams on Semrush or Ahrefs should activate the AI visibility add-ons first. When Korean-language coverage and a measurement-to-execution pipeline both matter, pairing BOIDA BVI with a global tool is the practical path. All listed prices change, verify with each vendor before budgeting.^[2][4]