AthenaHQ vs Profound:
Top AEO Tools Ranked for 2026
April 7, 2026Summary
- In the era of AI search, traditional SEO playbooks are failing to deliver meaningful traffic.
To win customers, brands need to effectively signal authority to AI models and increase visibility in AI-generated responses. Successful teams use dedicated AEO (Answer Engine Optimization) tools to discover which prompts their customers are using, so they can optimize content accordingly. - Answer Engine Optimization (AEO) platforms built specifically for AI search—like AthenaHQ—provide deeper insights into AI citation patterns, broader AI platform coverage, and workflows designed to improve brand visibility in AI-generated answers.
AthenaHQ has a 4.9 rating on G2, with customers like SoFi, ZoomInfo, and Wix. - Profound is another option for teams looking to implement AEO.
Customers, however, complain about data reliability and consistency, as well as difficulty translating insights into concrete next steps to actually improve AI search visibility. - Regardless of their tools, teams set themselves for success by following AEO implementation best practices: assessing visibility, optimizing content, and continuously monitoring results. Organizations should also audit AI visibility, optimize content for AI citation formats, and track performance across AI platforms to refine their strategy and increase lead generation from AI search.
The way customers find information online is changing before our eyes. Traditional search engines are rapidly being augmented and replaced by AI platforms like ChatGPT, Perplexity, and Google's AI Overviews. According to McKinsey, 50% of consumers now use AI-powered search, which is projected to facilitate $750 billion in spend by 2028. At the same time, traditional SEO playbooks are crumbling—Gartner predicts organic search traffic will plummet by 50% or more within the next two years.
Brands now need a dedicated approach to earn attention, trust, and, ultimately, customers. It's not about jockeying for 10 blue links at the top of Google search anymore, but building trust with consumers and answer engines alike. AthenaHQ's State of AI Search 2026 Report found that, on average, just 17.2% of AI responses mention any particular brand. However, teams taking advantage of the early mover opportunity are already reaching up to 56.7% of AI answers—3X the market average.
So what does it actually take to earn brand mentions and citations in AI responses?
The right combination of strategy, tactics, and tools.
And there are a lot of tools out there—from traditional SEO solutions scrambling to keep up with AI answer engines to purpose-built AEO platforms specifically designed to help improve your AI search visibility. This guide cuts through all the noise with an honest comparison of two well known options: AthenaHQ and Profound.
You'll learn:
- Key differences between AthenaHQ and Profound
- Specific AEO tool considerations for CMOs, content marketers, PR/branding teams, and AEO managers
- Three critical elements for successful AEO tool implementation
Let's jump right in!
Ranking the Best AEO Tools for 2026
Successful brands understand how to feed AI models the precise information they need to determine which sources to cite and mention in their answers—and optimize their content accordingly.
Dedicated AEO platforms like AthenaHQ fill a significant gap left by traditional SEO platforms scrambling to integrate answer engine capabilities. Tools like Semrush, SurferSEO, and Clearscope have introduced AI-related features, but lack the critical structure to support true AEO implementation. It all boils down to foundations: traditional, link-based search optimization is fundamentally different from AI search, and old-school SEO platforms usually fail to provide deep, actionable insights into AI search visibility.
AthenaHQ and Profound are both citation-based AEO platforms. Both were. But there are some notable differences. To effectively evaluate both platforms, we consulted verified customers reviews alongside key criteria that directly impact the bottom line:
- Scope of AI platform support: Tracking prompts across all major answer engines your customers may be using (including ChatGPT, Gemini, and Perplexity)
- Focus on business outcomes: The ability to connect AI visibility to tangible results like leads and pipeline (not just vanity metrics)
- Scalability: A model that supports your entire team and grows alongside your AEO function
- Advanced features: Actionable insights and integrated content workflows
Head-to-Head Feature Comparison:
AthenaHQ vs. Profound
When comparing self-serve plans, the value proposition demonstrates AthenaHQ's advantages in flexibility, team access, and cost efficiency.
| Feature | AthenaHQ | Profound |
|---|---|---|
| Pricing Model | One subscription + credits | Fixed tiers requiring upgrades |
| Monthly Price | $295/month | $499/month |
| Team Seats | Unlimited | 3 seats |
| AI Platforms Supported | ChatGPT-4, Gemini Pro, Claude 2, Perplexity | Fewer platforms supported |
| Monthly Responses Analyzed | Unlimited | 24,000 cap |
| Content Production Tools | Full suite included | Analysis only |
Data sourced from our in-depth analysis: Profound vs AthenaHQ: The Ultimate AI Search Optimization Platform Comparison
AthenaHQ
Pioneering Answer Engine OptimizationAthenaHQ leads the market as the pioneer of Answer Engine Optimization (AEO).
Built from the ground up by experts from Google Search and DeepMind, AthenaHQ was designed specifically to help teams understand and improve brand visibility in the AI search era.
Key features that set AthenaHQ apart:
- Comprehensive AI Engine Tracking: Get a unified view of your brand's presence across all major AI Search platforms, including ChatGPT, Gemini, Claude, and Perplexity.
- Business-Focused Analytics: AthenaHQ delivers measurable business impact, with customers achieving results like a 1,561% ROI by converting AI visibility into quantifiable leads and sales pipeline.
- Integrated Actionable Workflow: The platform seamlessly connects insight to action, surfacing actionable prompts and providing comprehensive content production tools to optimize and deploy content that achieves high citation probability.
- Athena Citation Engine (ACE) Technology: The proprietary Athena Citation Engine (ACE) analyzes citation probability patterns across AI models, delivering unmatched precision in predicting and optimizing for AI-generated responses.
- Enterprise Scalability: With flexible pricing that includes unlimited seats, AthenaHQ scales with organizations while empowering entire marketing, content, and sales teams without per-user limitations.
Ready to see how our customers achieve these results? Explore our features and success stories.
Results in AthenaHQ
AthenaHQ customers have seen dramatic results in their AI search visibility, including:
- 50 % increase in demos from AI search
- 38 % MoM increase in leads from AI search
- 40 % increase in brand mention rate
- 85 % faster response to brand mentions
- 50 % reduction in time spent on AI visibility tracking
- 2.5 x increase in AI-driven organic traffic
- 5 x increase in AI content citations
- 10 x increase in citation rate
Customer Response
AthenaHQ has a 4.9 rating on G2, earning top marks for valuable insights, reliability, and ease of use. Customers have also praised AthenaHQ across multiple industries and verticals.
Computer Software
–Verified Customer Review, G2“We're a software company in the developer tools space. Our buyers are technical and increasingly skeptical of traditional marketing. They research tools by asking Claude or ChatGPT for recommendations before they ever visit our site. We knew this was happening but had no visibility into it.
AthenaHQ gave us that visibility without requiring a dedicated analyst to interpret results. The prompt tracking shows exactly what questions potential customers are asking and whether we appear in the answers. The competitive benchmarking revealed that a smaller open-source competitor was being cited more frequently than us for our core use case, despite having less than half our feature set.
What I appreciate most is the bias toward action. Other tools we tried gave us beautiful charts and left us wondering what to do. AthenaHQ's Action Center tells us specifically which content to create or update, with context on why it matters.”
Financial Services
–Verified Customer Review, G2“We were paying nearly $6k/month for another AI visibility platform that our team dreaded using. The dashboards were so dense that extracting a single insight for leadership took hours. Exporting data for our monthly reports required workarounds involving screenshots and manual transcription. It felt like the tool was built for data scientists, not marketers.
AthenaHQ costs less and actually gets used. The Action Center surfaces what matters without forcing us to dig. Last month it identified that we were completely absent from prompts about retirement planning for high-net-worth individuals, which is literally our core business. We had content on the topic, but it wasn't structured in a way AI models could parse. The platform showed us exactly which pages needed work.
I also appreciate that the team responds to feedback quickly. We reported an issue with how sentiment was being categorized for financial terms, and they adjusted the model within two weeks.”
Healthcare
–Verified Customer Review, G2“In healthcare tech, we can't just plug in any SaaS tool and hope for the best. Our legal and compliance teams scrutinize everything. AthenaHQ passed their review faster than most vendors we evaluate, partly because the team was transparent about data handling and partly because the platform doesn't require us to expose sensitive systems to get value.
The prompt tracking gives us visibility into how AI models discuss our category, which matters when misinformation could have real consequences. We caught ChatGPT recommending a competitor's product for a use case where it's actually contraindicated. That's not just a marketing problem. AthenaHQ helped us identify it, and we worked with our medical affairs team to publish clarifying content.
The dashboard is genuinely intuitive. Our marketing ops person picked it up in a day. No dedicated analyst required.”
Real Estate
–Verified Customer Review, G2“We manage multiple residential real estate brands across thousands of franchise locations. The way consumers find agents is shifting fast. Five years ago it was referrals and yard signs. Then it was Zillow and Realtor.com. Now we're seeing buyers and sellers ask ChatGPT things like “best real estate agent for luxury homes in Scottsdale” or “which brokerage has the lowest commission fees” before they ever visit a brand website. AthenaHQ helped us understand how our brands perform in those conversations.
We discovered that AI models were recommending competitors for specific property types and price points where we have strong market share. Worse, some responses contained outdated information about our commission structures that made us look less competitive than we actually are. The regional tracking has been particularly valuable. Real estate is hyperlocal, and AI models respond differently by market. We can now segment visibility by metro area and give our regional marketing teams data they can act on. A brand manager in South Florida sees different insights than someone covering the Pacific Northwest, which is exactly how it should be.”
Retail
–Verified Customer Review, G2“We operate 200+ retail locations across North America. What works for brand visibility in California doesn't necessarily work in Texas or Quebec. AI models respond differently by region, and most tools we evaluated treated the US as a monolith.
AthenaHQ's regional segmentation was a differentiator for us. We discovered that our AI visibility in the Southeast was half what it was on the West Coast, even though our store density is similar. The platform identified specific content gaps around product categories that index higher in Southern markets. Our regional marketing teams now have data to act on instead of guessing.
The reporting is also clean enough to share with franchise owners who are not marketers. They can understand the visibility scores and see why certain content investments matter.”
Profound
An AI Visibility Analytics PlatformProfound provides insights into AI search visibility. At first glance, it offers more than a traditional SEO tool. However, digging a little deeper reveals several limitations for enterprise and growing organizations alike.
For starters, Profound supports fewer AI platforms, inhibiting AEO strategy with potential gaps in coverage. This is exacerbated by output inconsistency and reliability noted by multiple Profound customers:
- “There's not much insight on how Profound creates those prompt volumes or the data sources, which makes it less trustworthy.” –Nate K (G2)
- “The prompt volumes feature can be more accurate and insightful to understand how certain data is being retrieved so we know how trustworthy it is and how much we can use this data into our day to day workforce.” –Niels K (G2)
- “One of the challenges has been consistency in data collection. There have been instances where data is not captured every day across all LLMs, which can make trending and benchmarking less reliable than expected. In a space where credibility is important, that means results sometimes need additional caveating.” –Verified user, G2
Additionally, multiple Profound reviews complained of difficulty drilling down, consolidating, and contextualizing AI search insights into clear next steps:
- “Profound still feels rough around the edges in terms of performance, stability, and workflows. Some insights require a lot of manual work across prompts, citations, and exports before they become actionable. The biggest gap for me is data grouping and interpretation. Profound is good at surfacing raw signals, but it's harder than it should be to quickly understand what to prioritize or act on.” –Verified user (G2)
- “For me to get the most depth from the data, I really need to dig in and understand better how I can leverage everything that's available in Profound.” –Jessica B (G2)
- “It would be nice to be able to see citations broken down more. Right now it just tells you an aggregate across all categories.” –Pragya K (G2)
- “Profound currently aggregates webpages that are similar due to similar page paths or semantic similarities, which can be problematic. This aggregation does not account for the different intents behind subdomains, such as differentiating between blogs and review pages.” –Pieter V (G2)
- “It's been a bit difficult to get a clear understanding on prompt volume. It would be really helpful to bucket types of prompts together to help prioritize what we track.” –Adam L (G2)
- “The main area for improvement is the recommendations. I'd love to see clearer guidance on what to change, where to change it, and how to measure impact.” –Natasha G (G2)
- “The AEO/GEO optimization recommendations from Profound are surface-level and vague, they lack meaningful insight when it comes to how best to improve our website for AEO. They honestly feel like a reiteration of 'best practices' for SEO/AEO, and not insightful opportunities specific to our offerings.” –Caroline A (G2)
Customers also expressed feeling stranded in Profound, after being promised expert-level AEO support:
- “During the sales process, it seemed like we would have a great deal of support in building an AI visibility strategy. This has been an area that hasn't lived up to what we thought we would get... The experts we were promised access to seemed to be deeply experienced in this domain. In our experience, that doesn't seem to be the case.” –Hannah F (G2)
- “Our account executive does not have a background in SEO/AEO strategy, so there's a glass ceiling on how deep our conversations with her can go in regards to new experiments or techniques.” –Caroline A (G2)
On the reporting side, Profound lacks the ability to translate data into clear ROI tracking for leadership:
- “We have to do that ourselves to justify the spend.” –Sich L (G2)
- “Profound doesn't feature any integrations that allow us to directly mine business outcomes from their platform – aka tracking clicks to our site from LLMs. This feature would be helpful in communicating our team's impact on business outcomes to executives.” –Caroline A (G2)
Profound's model also restrains teams with rigid, tiered pricing that necessitates costly upgrades to get proper use of the tool. As one Profound user pointed out: “It's expensive for the value it brings and can feel overly complex. The most useful features are gated behind more expensive plans. Fully understanding the dashboard and insights takes time.” (G2)
Their self-serve plan also restricts teams to three seats, potentially limiting collaborative optimization efforts.
How to Shop for an AEO / GEO Tool
Selecting the right AEO tool isn't just about evaluating features. It's a strategic decision that will significantly impact your brand's AI Search visibility, potentially for years to come.
Business Results
A platform should directly connect AI Search visibility to revenue, leads, and customer acquisition.
This business-focused approach is fundamental to effective AEO / GEO.
Scalability for Your Team
Leveraging and optimizing for generative AI requires collaboration across multiple departments.
Choose a tool that offers unlimited seats, empowering your entire organization to contribute to your AEO strategy without cost constraints.
Comprehensive AI Coverage
The AI search landscape is constantly evolving.
To ensure strategic success, your AEO tool should monitor all major generative models to provide complete visibility into your brand's citation probability.
Actionable Workflows
Look for platforms that go beyond data analysis and actually connect insights to execution.
Special AEO tool considerations for different roles
How should you tackle your tool search?
AEO/GEO touches several marketing functions, each with unique considerations depending on the specific role and goals.
CMOs: Focus on strategic visibility & competitive positioning
CMOs should approach AEO and GEO through a strategic lens: making sure their brand shows up as the trusted authority when AI systems answer questions in their category. The right AEO/GEO tool will provide clear insight into how often the brand is cited or referenced in AI-generated answers, how that visibility stacks up against competitors, and which topics the brand is consistently associated with.
Prioritize platforms that deliver high-level analytics and competitive intelligence, and capture share of voice across answer engines, brand sentiment in generated responses, and opportunities to expand coverage.
Content marketers: Optimize content for AI consumption
Content teams can use AEO/GEO tools to produce authoritative, structured, and insightful content that AI models can confidently use as source material. Especially useful features include:
- Topic and question discovery based on real AI prompts
- Recommendations for structuring content for AI comprehension
- Citation tracking that shows which pages are referenced in AI answers
- Gap analysis that reveals unanswered questions in a particular category
PR & branding teams: Monitor narrative and reputation
PR and brand teams have a different concern: how AI systems actually describe the company. The way generative engines summarize brands and products can significantly influence public perception, and it's critical to ensure AI systems are drawing from accurate, credible, and brand-aligned information.
An AEO/GEO tool can help monitor how the brand appears in AI-generated summaries and identify when inaccurate or outdated narratives surface. Key capabilities include social listening, brand mention monitoring, sentiment analysis within AI responses, and insight into which sources are actually shaping those narratives.
AEO Managers: Drive tactical optimization
Organizations already heavily investing in AI search visibility may designate a dedicated AEO manager to translate strategy into execution, increasing brand inclusion in AI answers and expanding coverage across high-value prompts.
The ideal AEO/GEO tool provides granular operational capabilities: prompt testing, answer tracking across multiple AI platforms, citation-level data, and technical recommendations for improving answer eligibility. Look for platforms that allow rapid experimentation to effectively test how changes to content, structure, or schema affect the likelihood of appearing in generated answers.
Step-by-Step Guide to Implementing AEO Tools
Selecting the right AEO tool is half the battle. To maximize your AEO investment, follow this proven implementation framework:
Phase 1: Assessment and Setup (Week 1-2)
- Audit current AI visibility: Use your chosen AEO tool to establish baseline metrics across all major AI Search platforms
- Identify content gaps: Analyze which topics your competitors dominate in AI responses and citation probability
- Set success metrics: Define specific KPIs tied to business outcomes (lead generation, demo requests, sales pipeline)
Phase 2: Content Optimization (Week 3-6)
- Prioritize high-impact content: Focus on content that addresses your audience's most common questions in AI search
- Optimize for citation probability: Structure content using proven formats that maximize citation probability across AI models
- Deploy integrated workflows: Use your AEO platform's content production tools to streamline optimization processes
Phase 3: Monitoring and Scaling (Ongoing)
- Track citation performance: Monitor your brand's presence and citation probability across all AI Search platforms weekly
- Iterate based on data: Continuously refine your Answer Engine Optimization (AEO) approach based on citation insights
- Scale across teams: Expand AEO efforts to all content-producing departments using unlimited seat access
Become the Brand AI Trusts
While several platforms offer AI search optimization features, AthenaHQ stands as the definitive choice for businesses looking to meaningfully improve their visibility and trust with both consumers and AI engines alike. It delivers a comprehensive platform focused on maximizing citation probability and driving measurable business outcomes through strategic AI visibility.
The platform's advanced Athena Citation Engine (ACE) technology, unlimited scalability, and integrated workflows go far deeper than traditional optimization solutions. Organizations gain access to a robust AEO ecosystem designed to transform AI-generated responses into powerful customer acquisition channels.
Jump start your AEO transformation today with AthenaHQ.
Frequently Asked Questions (FAQ)
SEO (Search Engine Optimization) is the practice of optimizing web content so it ranks highly in traditional search engine results pages (SERPs), driving click-through traffic to a website. AEO (Answer Engine Optimization) focuses on structuring content so it is directly cited or surfaced by AI-powered answer engines. The key distinction is intent and format: SEO targets algorithms that rank pages for human browsing, while AEO targets AI models that extract and quote authoritative, clearly written information to answer questions directly, often without a user ever clicking through to a source.