Overview: Brand Monitoring Tools for LLMO / Generative Engine Optimization

5/5 - (3 votes)

Generative AI assistants like ChatGPT or Claude and AI search engines like Perplexity or Google are on the rise. In my opinion, the Internet and the way we research information will fundamentally change in the next 10 years. Classic search engines will become significantly less relevant and will no longer enjoy the dominance of the last 20 years.

In the future, brands and companies will also have to position themselves and their products in the results of AI assistants in order to gain visibility. To achieve this, disciplines such as Large Language Model Optimization (LLMO) are also called Generative Engine Optimization (GEO).

More about this in the linked articles and videos.

This requires tools for measuring success and analysis. This field is currently being filled by various tool providers. While the major SEO tool suites have so far been limited to monitoring AI Overviews, there are various new tool providers on the market that monitor all major generative AI assistants across platforms in order to measure their own brands and products in terms of visibility.

Below is an overview of these AI monitoring solutions.

Contents

1 Overview
2 Otterly
3 Peec.AI
4 Profound
5 Summary

Overview

Tool	LLM focus or general monitoring?	Additional functions beyond pure monitoring	Dashboard/export functions	Pricing
Evertune (evertune.ai)	Specially designed for LLM responses. Monitors how large language models (e.g. ChatGPT, Llama, Google Gemini) represent brands. No classic social/web monitoring.	Competitor analysis: comparison of brand placement with competitors. Sentiment-Analysis: evaluates the most frequent words and tonality with which the brand is described by AIs. Content gap analysis: identifies topics in which competitors provide more content (to “educate” the LLMs). Recommendations for action: provides a content roadmap to improve brand visibility in AI models.	Analytics dashboard: Comprehensive platform with time series tracking (monthly update of analyses). Presentation of an “AI Brand Index” per category (ranking of how often brands are recommended by LLMs). Export as report possible (e.g. on the course of brand perception) – not publicly described in detail.	No public price; demo on request. Enterprise solution, presumably in the higher price segment (several thousand USD per month).
Peec AI (peec.ai)	Full focus on AI search platforms (ChatGPT, Perplexity, Claude, Google Gemini etc.). Developed for LLM search analytics, not for classic web mentions.	Brand Visibility Score: measures brand visibility over time and per AI model. Source analysis: shows which sources the LLMs use for answers – important to understand why a brand is mentioned or not. Competitor benchmark: industry ranking of own brand vs. competitors (who has the largest “share of voice” in AI responses?). Prompt management: free choice and tagging of prompt questions to be monitored.	Dashboard: Clear, with time history charts and multi-model overview. Shows e.g. visibility history per model (ChatGPT vs. Claude etc.). Alerts: Notifications when visibility changes (information on website). Export: Possibility to download AI responses/mentions (e.g. chat histories) is available. Team collaboration through shared projects.	In-House Plan: approx. $130/month (for ~30 prompts) (equivalent to ~120 €) – unlimited users. Agency Plan: approx. $195/month (for agencies, multiple clients) (equivalent to ~€180). Can be canceled monthly.
Quno AI (quno.ai)	LLM Brand Intelligence: Platform for optimizing brand presence in AI search results. Looks at responses from ChatGPT, Perplexity etc., no social media monitoring. Additionally AI-supported market research (part of the suite).	Sentiment & keyword analysis: Analyzes the tone of voice and key terms used to mention the brand in AI responses. Sources/Citation Analysis: shows the original sources of AI responses about the brand. AI personas & intents: Unique – simulates different user profiles/buyer journey phases to see how responses about the brand change depending on the intent. Custom Queries: Very flexible queries – users can define their own questions and track them over time. Qualitative surveys via AI interviewer also possible.	Dashboard: Available (web-based). Provides in-depth analysis reports (e.g. filter LLM responses by persona). UI is considered responsive and allows longitudinal studies and snapshots. Probably no self-service export (focus on interactive analysis; but results can certainly be used for reports).	Enterprise product, prices only on request. According to industry insiders, approx. $4,000+ per month for the complete suite (depending on scope). There may be tiered packages (Team/Enterprise), but not publicly stated – demo required.
BrandRank.AI (brandrank.ai)	Fully focused on generative AI answer engines. Monitors all major LLM-based response systems for brand mentions. No traditional social web monitoring.	Holistic brand analysis: identifies brand weaknesses in AI outputs (e.g. where misinformation or gaps occur). Sentiment and reputation tracking: measures sentiment and checks whether AI responses are in line with brand positioning “Predictive brand health: predicts brand health trends based on AI data. Competitor analysis: detailed comparison with competitors in AI responses. Also looks at specific aspects such as sustainability or product performance claims in the responses.	Dashboard: Yes, a comprehensive monitoring dashboard is part of the SaaS platform. Enables comparison of visibility and evaluation of own brand vs. competitors over time. Reports/exports can probably be generated (for brand reporting), exact details are not publicly disclosed.	Price: Only on request. Presumably Enterprise subscription (annual contract). Estimates speak of > $3,000 per month per brand depending on the scope of services.
Otterly.AI (otterly.ai)	LLM/AI search monitoring for brands. Supports platforms such as Google’s AI Overviews, ChatGPT and Perplexity. No general web monitoring. Focused on prompt-based queries.	Keyword and prompt research: Suggestions of relevant prompts/questions under which your own or competing brands appear. Link tracking: Analysis of how often links to your own domain appear in AI answers vs. competitors. Monitoring of individual prompts: Detailed visibility per question. Alerts: Notification of major changes (e.g. if a competitor suddenly takes over the top position in an answer). (No in-depth sentiment analysis – currently focus on presence and rankings).	Dashboard: Yes, easy to use and focused on core metrics. Offers an analytics area with key figures such as the proportion of brand vs. domain mentions, average “brand score” etc. per prompt. Export: Data on individual prompts/responses can presumably be pulled as reports (in the tool itself primarily visualization for the time being; CSV export not explicitly mentioned).	Subscription with tiered plans: Lite $29/month (monitoring of 10 prompts); Standard $189/month (100 prompts); Pro $989/month (1000 prompts). Bookable on a monthly basis (self-service).
Goodie (higoodie.com)	LLM Answer Engine Optimization: Focused on visibility in AI answers (ChatGPT, Google Gemini, Claude etc.). No classic social monitoring.	Real-time brand health: Hourly updated visibility scores (0-100) for the brand per AI model. Sentiment analysis: Classification of AI statements about the brand as positive/neutral/negative. Competitor and industry benchmarks: Comparison of own visibility and sentiment with selected competitors and industry average. Cross-platform analysis: Filter by individual LLMs to see differences between e.g. ChatGPT and Perplexity. Optimization tools: In addition to monitoring, Goodie offers an AI Optimization Hub and AI Content Writer to create new content directly from insights and optimize content for better AI visibility (a unique selling point). Additional module for Traffic & Attribution to track web traffic through AI responses.	Intuitive live dashboard: standardizes all key figures (visibility, sentiment, etc.) in one interface. Filterable by model and region for targeted evaluations. Presumably exports/reports possible (e.g. PDF reports for stakeholders), but the main focus is on the interactive dashboard.	Early phase (Early Access) – prices not yet public. Interested parties fill out a form. Probably enterprise-oriented; indications point to customized packages. (Unofficial estimates speak of a higher price level, possibly similar range to Profound/Quno).
Profound (tryprofound.com)	LLM Visibility for Enterprise: Monitors all major generative AI platforms (ChatGPT, Bing Chat/Copilot, Amazon AI, Perplexity, Google SGE). No classic web reputation analysis, purely AI output.	Topic-based visibility: ready-made prompts/questions per industry and topic – provides an industry index showing where your brand stands. Competitor comparison: possible at different levels (brand, product, category). Cross-platform evaluation: aggregated visibility across all AI platforms or individually selectable. Citation analysis: shows which domains/sources are cited particularly frequently when the brand appears – helps to identify important content sources. Sentiment analysis: compares the sentiment towards your own brand vs. the competition overall and over time. Conversational Insights: Unique – provides a Conversation Explorer to explore real user questions to AIs and analyze keyword trends (search volume simulated for AI searches). Technical SEO for LLM: Agent Analytics module checks AI crawler visits, indexing status and provides optimization tips (HTML, Robots.txt) to make the website more discoverable for AI.	Comprehensive dashboard: consolidates all insights (visibility rate, topics, sources, sentiment) in one interface. Regional analysis functions: e.g. filter results by country/region. Historical data: Review up to the end of 2024 for trend comparison. Export/report: Detailed PDF/Excel reports and API access probably possible for enterprise customers, but officially only “agree demo”.	Enterprise pricing model: Customer-specific only (no self-service). Developed for large companies with a global presence. Typical costs in the range of $3,000-4,000+ per month (according to provider info) at annualized cost.

Otterly

General information in a brief overview:

Features: Monitoring, keyword research, prompt research, prompt management, monitoring of links.
Platforms: Google AIOverviews, ChatGPT, Perplexity

How Otterly works is relatively simple. You research keywords and get prompts for these keywords, which can be monitored with regard to the visibility of your own domain, products and brand. The tool also offers an analytics area in which you can view metrics such as the number of proportional brand mentions, domain mentions, average brand score, number of all mentioned brands. The tool also offers detailed monitoring for the individual prompts.

Peec.AI

General information in a brief overview:

Peec AI – offers a broad feature set at a moderate cost and has already shown that it covers German queries in a meaningful way. With source analysis and competitive benchmarks, Peec provides valuable insights into why a brand performs well or poorly in LLM results. With support for several models (ChatGPT, Perplexity, Claude, Gemini) and the team-compatible interface, Peec is particularly interesting for marketing teams who want to work systematically on the “LLM visibility” of their brand in German-speaking countries.

Tracking the visibility, sentiment and position of brands
The main focus is on the sources from which LLMs quote
By default, we monitor ChatGPT, Perplexity and AI Overviews daily
Optionally available: Claude and Gemini
Pricing (monthly):
– Starter: €89 for 25 prompts
– Pro: €199 for 100 prompts
– Enterprise: €499+ for 300+ prompts and individual support

Peec AI allows the management of prompts and offers the possibility of tracking competitors in terms of visibility in AI results in a direct comparison. Prompts can also be tagged so that they can then be monitored by tag. I also find it exciting to be able to see the sources in which mentions appear. This gives you a concrete starting point for which media you can try to position yourself in.

Profound

General information in a brief overview:

Features: Prompt management, competition monitoring, source monitoring
Plattformen: ChatGPT, Google AIOverviews, Microsoft Copilot, Perplexity

Profound differs from the other tools in that the prompts are predefined per industry and topic. So prompt management does not exist.

Profound provides an industry-wide and topic-specific overview of visibility.

These overviews are displayed cumulatively for all platforms.

Profound offers competitive comparison at various levels to compare yourself with competitors.

But there is also the option to monitor per platform.

Profound also offers citation analysis to identify domains that are frequently referenced.

Furthermore, a sentiment analysis is available to compare the mood around your own brands and the competition.

In addition, the sentiment can also be displayed in relation to the visibility for each topic.

Summary

The growing importance of generative AI systems such as ChatGPT, Google AIOverviews or Claude is changing the way information is searched for and brands are made visible. Traditional search engines are losing relevance, while Large Language Model Optimization (LLMO) and Generative Engine Optimization (GEO) are gaining in importance. Companies must position themselves in AI results in order to remain visible.

New tools for analyzing and measuring success in this discipline are emerging. These tools offer companies new opportunities to strategically strengthen their brand presence in generative AI systems.

Basically, it has to be said that AI monitoring tools are similar in terms of functionality, but still have different focuses. The biggest difference is the way in which the tools generate the queries. While Otterly and peek.ai rely on prompt management in which you specify the prompts that are monitored on the respective AI platforms, Profound predefines the prompts by topic. Both approaches have their advantages and disadvantages.

From the preliminary discussions with the tool providers, I was also able to identify different target groups for the tools and determine that different target groups should be addressed for each tool. Some tools focus more on brand managers, while others are aimed more at SEO departments.

All tools are in an early-stage phase and I think we can still look forward to some new features and changes.

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About Olaf Kopp

Olaf Kopp is Co-Founder, Chief Business Development Officer (CBDO) and Head of SEO & Content at Aufgesang GmbH. He is an internationally recognized industry expert in semantic SEO, E-E-A-T, LLMO & Generative Engine Optimization (GEO), AI- and modern search engine technology, content marketing and customer journey management. As an author, Olaf Kopp writes for national and international magazines such as Search Engine Land, t3n, Website Boosting, Hubspot, Sistrix, Oncrawl, Searchmetrics, Upload … . In 2022 he was Top contributor for Search Engine Land. His blog is one of the most famous online marketing blogs in Germany. In addition, Olaf Kopp is a speaker for SEO and content marketing SMX, SERP Conf., CMCx, OMT, OMX, Campixx...