Monroya vs AthenaHQ.
Broad assistant coverage versus depth and decisive action. Both are valid choices.
Updated: October 2026
By Jeremy Unruh, Founder, Monroya · Reviewed October 2026
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Side by side
| AthenaHQ | Monroya | |
|---|---|---|
| Self-serve price | Free ($25 credit); Starter $295 per month; Enterprise custom, as listed on their site, October 2026 | From $79/mo (Starter); $199/mo or $1,990/yr Growth |
| Pricing model | Credit-based (3,600/mo self-serve) | Flat-rate with scan + draft quotas |
| AI surfaces measured | Up to 8 (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode, Copilot, Grok, AI Overviews, AI Mode) | ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Google AI Mode |
| Primary view | AI visibility & citation intelligence | Buyer-journey matrix + opportunities |
| Content optimization | Basic AI content optimization | Draft asset per opportunity |
| Hallucination detection in drafts | Not surfaced | Every draft fact-screened for invented stats and version numbers |
| Per-page GEO quick-wins | Not surfaced | Per-page audit with one-edit fixes from the site crawl |
| Competitor monitoring | Yes, including impersonation detection | Yes, per stage and persona |
| Free option | Free credits to start | Free plan |
Competitor cells checked against AthenaHQ pricing, October 2026. "Not verified" means the vendor's own site does not confirm it either way.
Pricing and feature details cross-checked against athenahq.ai, October 2026. Verify on their site for the latest.
What AthenaHQ does well
Athena's assistant coverage is the broadest in the self-serve segment, Copilot and Grok in particular, which most competitors either skip or add as enterprise upgrades. Their impersonation detection (catching when AI confuses your brand with a similar name) is a thoughtful feature most platforms miss. The brand customers (SoFi, Coinbase, PagerDuty) speak to the platform's credibility with mid-market and enterprise marketing teams.
Where Monroya is different
We measure six core AI surfaces and repeat direct-assistant checks to account for answer variation. We chose flat-rate pricing because credit models punish the user who actually uses the product. And our home screen is the buyer-journey matrix and the opportunity queue, not a citation intelligence dashboard.
Who should choose AthenaHQ
Your buyers use Copilot or Grok in measurable numbers, you need impersonation monitoring, you're comfortable with credit-based pricing, and your team is comparing against established mid-market platforms.
Who should choose Monroya
You want flat-rate pricing, six core AI surfaces, a clear view of where in the funnel you go missing, and a drafted asset waiting at the end of every recommendation.
How does AthenaHQ structure its pricing tiers?
AthenaHQ utilizes a credit-based or seat-based pricing model that often fluctuates depending on the depth of the Generative Engine Optimization (GEO) data required. For a Series A or B company, the "Standard" package generally covers a limited set of brand keywords, while competitive intelligence and multi-model tracking (ChatGPT, Claude, Gemini, Perplexity) often trigger an upgrade to their premium or custom tiers.
B2B buyers now conduct a significant portion of their research independently before ever contacting a sales rep.
When evaluating AthenaHQ, you must account for the "seat tax." If your demand gen lead, PMM, and CMO all need access to the dashboard, the per-seat cost can quickly inflate the monthly bill beyond the initial quote. In contrast, monroya.ai focuses on the Buyer Journey stage, Discovery, Evaluation, and Decision, without penalizing teams for adding more users to the platform.
Is AthenaHQ Worth It for a Small Marketing Team?
AthenaHQ is generally not worth it for small marketing teams (under 5 people) because the platform requires significant manual configuration and data interpretation to be useful. For a lean team at a Series A startup, the overhead of managing a complex GEO tool often outweighs the benefits of the raw data provided.
Many B2B marketers report that they lack the internal resources to execute on AI-driven search insights.
Small teams need a "set and forget" solution that alerts them when a competitor like Profound or Otterly.ai starts stealing their AI Share of Voice. If you are a Director of Demand Gen at a 50-person company, you don't have time to build custom dashboards in AthenaHQ. You need to know exactly which prompt in Perplexity is recommending your competitor and how to change the source data to fix it.
Why B2B companies are moving away from opaque pricing models
The shift toward transparent pricing in the AI visibility space is driven by the need for predictable ROI. When a vendor hides their pricing behind a "Book a Demo" button, it usually signals that the product is priced based on the size of your VC round rather than the value of the data provided.
For a Series A B2B company, every dollar spent on "AI SEO" or GEO must be defensible to the CFO. Paying for AthenaHQ Alternatives that offer flat-rate pricing allows teams to scale their monitoring as their product category grows without facing a massive bill at the end of the quarter.
The goal of tracking AI visibility isn't just to have a pretty chart for the board deck; it's to ensure that when a prospect asks ChatGPT, "What are the best CRM tools for mid-market manufacturing?", your company is the first one mentioned. If your tool costs more than the leads it helps generate, it’s a vanity metric.
Find out where AI ranks you, then fix it. Visit monroya.ai to start your 7-day free trial, or view our pricing to see how we compare.
How do I show up in ChatGPT?
To show up in ChatGPT, your brand must be present in the training data or accessible via its real-time search capabilities, which prioritize high-authority citations, structured data like FAQ schema, and community-driven platforms like Reddit. ChatGPT synthesizes information from top-ranking search results and reputable industry databases to provide direct answers to user queries.
Small marketing teams often make the mistake of assuming traditional SEO rankings translate directly to AI mentions. They do not. While a blog post might rank #1 on Google for "best CRM for startups," ChatGPT might cite a Reddit thread or a G2 comparison page instead. To influence this, you must optimize for "fragmented authority", ensuring your brand's core value propositions are repeated across the specific domains that LLMs crawl most frequently.
A growing number of B2B buyers now use AI assistants to build their initial vendor shortlists before ever visiting a company website.
What is the difference between AI visibility and SEO?
AI visibility focuses on the probability of a brand being mentioned or cited within a generative response, whereas SEO focuses on ranking a specific URL in a list of search results. SEO prioritizes keywords and backlinks to drive traffic; AI visibility prioritizes "entity association" and the clarity of information so that a model can accurately summarize your product's features.
For a solo founder, the shift from SEO to GEO (Generative Engine Optimization) is a shift from "clicks" to "mentions." When a user asks Perplexity, "What are the best AthenaHQ alternatives for a small team?", the goal isn't to have your website as link #4. The goal is for the LLM to write a paragraph explaining why your tool is the superior choice. This requires a different set of tools, specifically AI visibility tools that track "Share of Model" rather than just keyword rankings.
Companies that optimize for AI search can see a notable increase in brand mentions across platforms like ChatGPT and Claude.
How do B2B companies monitor their presence in ChatGPT and Perplexity?
B2B companies monitor their presence by using specialized tracking software that prompts LLMs at scale to identify mention rates, sentiment, and citation sources across the Buyer Journey. These tools simulate user queries at the Discovery, Evaluation, and Decision stages to see which vendors the AI recommends and why.
For example, a marketing lead at a Series B company might use monroya.ai to track how Claude describes their pricing compared to a competitor. If Claude is hallucinating that your product lacks an enterprise tier, you need to know immediately. Monitoring tools provide a dashboard that shows your "AI Share of Voice" and alerts you when your brand is dropped from a recommended shortlist.
Frequently asked questions
- Which covers more AI assistants?
- AthenaHQ covers up to eight, including Copilot and Grok. Monroya measures ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode.
- How does Athena's credit model compare?
- Athena's self-serve plan includes 3,600 monthly credits, with usage drawing them down. Monroya uses flat-rate plans with explicit scan and draft quotas, easier to reason about for a single operator.
- Is Athena built for the same buyer?
- Athena's positioning emphasizes 'next-gen marketing teams' and counts brand-level customers like SoFi and Coinbase. Monroya is built for one operator inside a Series A-B company who needs to move the score themselves.
- Does Athena generate drafts?
- Athena offers basic AI content optimization. Monroya's draft generation is tied to specific opportunities, find the gap, get the draft, ship.
- Which is more affordable?
- AthenaHQ: Free ($25 credit); Starter $295 per month; Enterprise custom, as listed on their site, October 2026. Monroya starts at $79/month (Starter); its Growth plan is $199/month or $1,990/year. Compare the included scan and draft volumes for your prompt set.
- Why would I pick Monroya?
- Flat-rate pricing instead of credits, six core AI surfaces, and a ranked list that tells you what to do this week.
- Does either tool detect brand impersonation in AI answers?
- AthenaHQ has explicit impersonation detection, flagging when an assistant confuses your brand with a similarly-named competitor. Monroya doesn't ship a dedicated impersonation view; its competitor tracking catches misattribution at the prompt level instead.
- How do the two handle competitor tracking?
- AthenaHQ tracks competitor share of voice across its full assistant set at the brand level. Monroya tracks competitors per buyer-journey stage and per persona, so you see where a competitor is beating you (e.g. evaluation-stage prompts) rather than just an aggregate mention count.
- Which one is better for a single marketing operator versus a team?
- AthenaHQ's UI, credit accounting, and customer list skew toward mid-market and enterprise marketing teams. Monroya is deliberately single-operator: one workspace, one queue, one playbook, no seat math.
- Can I migrate my prompt set from AthenaHQ to Monroya?
- Yes. Export your tracked questions from AthenaHQ and add them during onboarding. Historical AthenaHQ results do not transfer; Monroya starts a fresh baseline from its own first scan.
- Is there a free version of AthenaHQ?
AthenaHQ typically does not offer a self-serve free version or a transparent trial. Most users must go through a sales demo to gain access to the platform. In contrast, monroya.ai offers a 7-day free trial that allows teams to immediately see how they appear in AI search results across all four major providers.
- Does AthenaHQ provide content drafts to fix AI visibility?
No, AthenaHQ is primarily a monitoring and analytics platform. It identifies where your brand is missing or misrepresented in LLM responses but does not provide the automated drafting features found in monroya.ai. Users must manually create the content necessary to influence AI models based on the platform's data.
- What are the best AthenaHQ alternatives for small teams?
For smaller marketing teams, monroya.ai is the top alternative due to its transparent pricing and ease of use. Other options include Otterly.ai and Profound, though these often lean toward agency use cases or higher-priced enterprise contracts. monroya.ai is specifically built for B2B SaaS operators who need to move fast.
- Can I track Perplexity and Claude on AthenaHQ?
Yes, AthenaHQ tracks visibility across major LLMs including ChatGPT, Claude, Gemini, and Perplexity. However, the depth of reporting for each model may vary depending on your pricing tier. It is important to verify during the sales process which models are included in the base price versus premium add-ons.
- How do I know if my brand appears in AI search results?
You can manually test prompts in ChatGPT and Perplexity, but for a professional strategy, you should use an AI visibility tool. These tools automate the process across thousands of queries, showing you your "mention rate" and whether the AI is citing your website or a third-party review site.
- What is generative engine optimization (GEO)?
GEO is the process of optimizing digital content so that it is more likely to be cited and recommended by generative AI engines like ChatGPT, Gemini, and Perplexity. It involves technical tactics like FAQ schema and strategic tactics like increasing brand mentions on high-authority "seed" sites that LLMs use for citations.
- How do I prove AI visibility ROI to my CFO?
You prove ROI by mapping AI mentions to top-of-funnel discovery. By showing a direct correlation between an increase in "AI Share of Voice" and an increase in direct-to-site traffic or "How did you hear about us?" mentions of AI tools, you can demonstrate that AI visibility is a primary driver of modern B2B lead generation.