Profound alternative and review: monroya.ai vs Profound
Profound is an enterprise AI visibility platform. monroya.ai is a self-serve alternative that tells you what to fix, drafts it, and checks that it worked.
Updated: October 2026
By Jeremy Unruh, Founder, Monroya · Reviewed October 2026
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Profound in one paragraph
Profound runs structured prompts across AI platforms and reports where and how your brand appears, including citations, sentiment, ranking and competitive presence. It has two published plans. The free Trial runs 50 prompts daily for 7 days across ChatGPT, Gemini and Google AI Overviews, using a recommended prompt set you cannot customize. Enterprise adds ongoing daily tracking, a tailored prompt plan, up to 9 answer engines, AI Marketer agent credits and dedicated support, priced through a demo. Both include unlimited seats, and a self-serve Agency Growth plan comes with 400 credits per month per client workspace. Checked on tryprofound.com/pricing, October 26, 2026.
Where monroya.ai differs
Named, recommended and cited are counted separately. Being mentioned in an answer is not the same as being recommended, and neither is the same as having your page cited as a source. monroya.ai reports all three, so a brand that is named but never picked does not look like a win.
Brand-name questions are left out of the score. Asking "what is [your company]" almost always returns your company. monroya.ai scores the questions buyers ask before they know your name, like "best tool for X", so the number reflects real discovery.
Ranked moves with drafts. Each gap becomes a job, ranked by what it is likely to change, with a draft ready to edit and publish.
Wins are verified, then watched. A win counts only after repeated checks confirm it, and monroya.ai keeps tracking it and alerts you if it starts to slip.
Free plan and $79 a month, not enterprise pricing. Start free with no card, then pick a plan on the pricing page. No demo needed to learn the price.
Side by side
| Profound | monroya.ai | |
|---|---|---|
| Free option | 7-day trial, 50 fixed prompts | Free plan, no card, no time limit |
| Paid pricing | Enterprise via demo; Agency Growth self-serve | $79, $199 or $299 a month, listed publicly |
| AI surfaces | Trial: ChatGPT, Gemini, Google AI Overviews. Enterprise: up to 9 | ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Google AI Mode |
| Check frequency | Daily | Weekly; top 50 questions daily on $299 plan |
| Edit your questions | Enterprise only | Every plan |
| Named vs recommended vs cited | Reports mentions, citations, sentiment, ranking | Three separate counts |
| Brand-name questions in score | Not stated | Excluded |
| What to do next | AI Marketer agents (credits) | Ranked jobs with drafts |
| Win checking | Not stated | Confirmed across repeated checks, tracked for slipping |
| Seats and support | Unlimited seats; dedicated support on Enterprise | Self-serve |
Competitor cells checked against Profound pricing, October 2026. "Not verified" means the vendor's own site does not confirm it either way.
Profound details from tryprofound.com/pricing, October 26, 2026. Check their site for the latest.
Who should choose Profound
A large brand or agency running AI visibility as a team program, that wants more answer engines, unlimited seats and an accounts team, and is comfortable buying through a demo.
Who should choose monroya.ai
A small team or a single owner who needs to know whether AI recommends them, what to fix first, and proof that the fix worked, without a contract or a sales call.
What is the difference between GEO and traditional search monitoring?
Generative Engine Optimization (GEO) focuses on influencing the probabilistic outputs of Large Language Models (LLMs), whereas traditional search monitoring tracks static rankings on a results page. GEO requires understanding "semantic proximity", how closely an LLM associates your brand with specific problem sets or competitor names, rather than just tracking keyword density or backlink counts.
Traditional SEO tools are blind to the "black box" of ChatGPT or Claude. If a prospect asks Perplexity, "Which platform is best for SOC2 compliance automation?", the answer isn't pulled from a single ranking page. It is synthesized from a corpus of data. If your brand isn't in that corpus, you don't exist in that session.
Companies optimizing for generative engines can achieve significantly more brand mentions within AI-synthesized answers compared to non-optimized peers.
Why does the source of data matter for AI responses?
AI models do not treat all web content equally; they prioritize high-authority technical documentation, verified reviews, and community discussions from platforms like Reddit and GitHub. Understanding which sources an LLM is citing for your specific category allows you to prioritize your content distribution where it actually moves the needle for the model's training data.
For example, if you notice that Claude consistently cites a specific competitor's documentation when asked about "API rate limiting," your strategy shouldn't be to write more blog posts. It should be to update your own technical docs with clearer semantic markers that LLMs can easily parse. monroya.ai tracks these specific shifts across the four major providers, ensuring you aren't wasting resources on platforms the models ignore.
For technical B2B queries, LLMs are often more likely to cite community-driven content from sources like Reddit or Stack Overflow than standard corporate blogs.
How do I choose the best AI visibility tool for my B2B team?
Choosing the right tool requires moving beyond simple mention tracking to understanding intent-based clusters. You need a platform that categorizes prompts into Discovery, Evaluation, and Decision stages to see exactly where your brand drops out of the conversation. Look for tools that provide the specific source URLs the LLM is using so your team can update the underlying data.
A growing share of B2B buyers now use AI assistants to build their initial vendor shortlists before engaging with a sales rep.
When evaluating alternatives, prioritize platforms that scan the "Big Four" providers: ChatGPT, Claude, Gemini, and Perplexity. A tool that only tracks one model provides an incomplete picture of your AI Share of Voice. Furthermore, the tool must offer actionable drafts, not just a dashboard of problems, but the exact content updates needed to influence the model's next crawl.
What are the top 6 Profound alternatives for AI search monitoring?
The market for AI visibility has bifurcated into enterprise GEO platforms and agile B2B monitoring tools. The top six alternatives in 2026 are monroya.ai, Otterly.ai, OmniSEO, AthenaHQ, BrightEdge (Generative Parser), and Brandwatch AI Search. Each serves a different segment of the marketing stack, from pure-play SEOs to VP-level demand generation leads.
Many B2B brands find they are cited in a surprisingly small number of relevant category queries in ChatGPT.
- monroya.ai: Best for B2B SaaS teams who need to track the full funnel. It maps prompts to the Buyer Journey and provides the exact content needed to fix visibility gaps.
- Otterly.ai: Strong focus on brand monitoring and sentiment. Good for PR teams who want to know how the "personality" of the brand is being described.
- OmniSEO: A technical GEO tool that focuses on the infrastructure of how websites are crawled by AI bots.
- AthenaHQ: High-end competitive intelligence that focuses on "Share of Model" across various industries.
- BrightEdge: For large organizations already using their SEO suite, their generative parser adds a layer of AI search data.
- Brandwatch: Best for social listening teams who want to see how social sentiment influences AI-generated responses.
Why is AI Share of Voice more critical than traditional SEO rankings?
Traditional SEO rankings are becoming a secondary metric because LLMs aggregate multiple sources into a single, authoritative answer. Being "Rank 1" on Google doesn't guarantee you are the primary recommendation in a ChatGPT response. AI Share of Voice measures the percentage of time your brand is cited as a top-tier solution across thousands of generative prompts.
In the old model, a buyer clicked your link and read your copy. In the new model, the AI reads your copy (and your competitors' copy, and Reddit, and G2) and tells the buyer what to think. If you aren't tracking your AI Share of Voice, you are essentially ceding your brand narrative to a black-box algorithm. You can check your current standing by visiting monroya.ai/pricing to start a 7-day trial.
Frequently asked questions
- Is Profound worth it for a small team?
- Usually not as a first tool. Profound's ongoing tracking sits on its Enterprise plan, which is priced through a sales demo, and its free trial lasts 7 days with a fixed prompt set you cannot edit. A small team that needs to see where it stands and what to fix this month gets there faster with a self-serve tool. Profound fits once AI visibility is a funded team program with dedicated headcount.
- What's a cheaper alternative to Profound?
- monroya.ai has a free plan with no card, and paid plans at $79 a month (50 questions checked weekly), $199 a month (150 questions) and $299 a month (400 questions, top 50 checked daily). Every plan is self-serve and listed on the pricing page, so there is no sales call to find out the price.
- Which AI assistants does each one check?
- Profound's trial covers ChatGPT, Gemini and Google AI Overviews, and its Enterprise plan tracks up to 9 answer engines. monroya.ai paid plans check ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode.
- Which is better for a large enterprise?
- Profound. It offers tailored prompt plans, more answer engines, unlimited seats, dedicated support and an accounts team. monroya.ai is built for the operator who needs to move the number, not for an org-wide procurement process.
- What is Share of Model?
Share of Model is a metric that measures how frequently your brand is mentioned by an LLM relative to your competitors for a specific set of prompts. It is the generative era's equivalent of "Share of Voice," indicating your brand's dominance within the training data and real-time retrieval systems of AI.
- How do I know if my brand appears in AI search results?
You can manually test prompts in ChatGPT, Claude, Gemini, and Perplexity, but this is time-consuming and prone to bias. Professional monitoring tools like monroya.ai automate this by running thousands of queries across different personas to give you an objective view of your brand's presence in the AI ecosystem.
- What is generative engine optimization?
Generative Engine Optimization (GEO) is the process of structuring your website's data, content, and third-party mentions to increase the likelihood of being cited by LLMs. It involves technical tactics like FAQ schema and semantic keyword clustering designed specifically for how models like GPT-4o and Claude 3.5 Sonnet process information.
- Why isn't my company showing up in ChatGPT results?
Your company may be missing from ChatGPT results because your content lacks the semantic authority the model requires, or your brand is not frequently mentioned on high-signal "source" sites like Reddit, LinkedIn, or industry-specific review hubs. AI models prioritize verified, structured, and community-validated information over standard marketing copy.
- What tools show me what ChatGPT says about my company?
Tools like monroya.ai and Otterly.ai are specifically designed to query ChatGPT via API and simulate buyer prompts. These platforms track how your brand is described, which competitors are mentioned alongside you, and whether the AI is using accurate, up-to-date information from your website or third-party sources.
- Is AI visibility tracking worth it for B2B SaaS companies?
Yes, because AI assistants are now the primary research tool for technical buyers. If an LLM excludes your brand from a "Top 10" list, you lose the lead before they ever visit your site. Tracking allows you to identify these gaps and update your content to regain visibility.
- How long does it take to see results from GEO optimization?
Results from Generative Engine Optimization (GEO) typically appear within 2 to 4 weeks. Unlike traditional SEO, which can take months, LLMs update their knowledge frequently through web-browsing features (like Perplexity and ChatGPT Search). Updating high-authority sources like Reddit or documentation can trigger rapid changes in AI responses.
- What is the difference between monroya.ai and tryprofound.com?
monroya.ai is built specifically for B2B marketing teams who need to influence the Buyer Journey. It provides actionable content drafts to fix visibility issues. Profound is an enterprise-grade platform focused on broader generative engine optimization and high-level visibility metrics for global brands across multiple industries.