AthenaHQ vs Profound:
Top AEO Tools Ranked for 2026

Summary

AthenaHQ and Profound both help teams track how brands appear in AI-generated answers. Compare the AI engines covered, monitoring volume, content capabilities, team access, and monthly price to determine which platform fits the scope of your AEO program.

Head-to-Head Feature Comparison: AthenaHQ vs. Profound

Feature	AthenaHQ Starter	Profound Growth
Monthly Price	$295/month Starter	$399/month Growth
Pricing Model	Subscription with 3,600 monthly credits; additional credits cost extra	Tiered subscription with separate Agent credit allowance
Team Seats	Unlimited	3 seats on Growth
AI Platforms	11 models, including ChatGPT, Gemini, Claude, and Perplexity	Growth: ChatGPT, Perplexity, Google AI Overviews
Monitoring Allowance	3,600 credits/month; responses cost 1 or 5 credits depending on the model	100 prompts; 9,000 responses/month on Growth
Content Tools	Content optimization agent and on-page / off-page actions	Profound Agents; 400 credits/month on Growth
Traffic Analytics	Shopify and Google Analytics integrations	Agent Analytics, including Google Analytics integration

Checked September 9, 2026. Sources: AthenaHQ plans and Profound pricing. This table compares AthenaHQ Starter with Profound Growth, with monthly billing.

With monthly billing, AthenaHQ Starter costs $295 per month and includes unlimited seats and monitoring across 11 AI models. Profound Growth costs $399 per month and includes three seats, 100 prompts, and 9,000 monthly responses.

AthenaHQ

AthenaHQ is an Answer Engine Optimization (AEO) platform built by experts from Google Search and DeepMind. It helps teams measure and improve their brand’s visibility in AI search results.

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 surfaces prompts and provides content production tools, so teams can turn AI search insights into content they can publish.
• Athena Citation Engine (ACE) Technology: The proprietary Athena Citation Engine (ACE) analyzes citation probability patterns across AI models to help teams prioritize content for AI-generated responses.
• Enterprise Scalability: Flexible pricing includes unlimited seats, allowing marketing, content, and sales teams to use AthenaHQ without per-user limits.

Ready to see how our customers achieve these results? Explore features and success stories.

Customer Response

AthenaHQ has a 4.9 out of 5 rating on G2. Reviewers across industries cite valuable insights, reliability, and ease of use.

Computer Software

“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. AthenaHQ's prompt tracking shows the questions potential customers ask and whether the brand appears in the answers. Its competitive benchmarking showed that a smaller open source competitor appeared more often for our core use case, despite having less than half the features of our product.

AthenaHQ focuses on actions teams can take. Other tools we tried gave us charts without clear next steps. AthenaHQ's Action Center recommends which content to create or update and explains why each recommendation matters.”

–Verified Customer Review, G2

Financial Services

“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 showed that we had no visibility in AI responses to prompts about retirement planning for high-net-worth individuals, a core part of our business. Although we had content on the topic, its structure made it harder for AI systems to understand. The platform identified the specific pages that 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.”

–Verified Customer Review, G2

Healthcare

“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.

AthenaHQ's prompt tracking shows us how AI models discuss our category and surfaces misinformation that 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.”

–Verified Customer Review, G2

Real Estate

“We manage multiple residential real estate brands across thousands of franchise locations. The way consumers find agents has shifted quickly. Five years ago, referrals and yard signs drove discovery, followed by Zillow and Realtor.com. Now, buyers and sellers ask ChatGPT questions such as ‘best real estate agent for luxury homes in Scottsdale’ or ‘which brokerage has the lowest commission fees’ before they visit a brand website. AthenaHQ helped us understand how our brands perform in those conversations.

We discovered that AI models recommended competitors for property types and price points where we have strong market share. Some responses also contained outdated information about our commission structures, making us appear less competitive than we are. Regional tracking lets us segment AI-search visibility by metro area because AI models respond differently in each market. That gives regional marketing teams location-specific data they can use. A brand manager in South Florida sees different insights than someone covering the Pacific Northwest, which is exactly how it should be.”

–Verified Customer Review, G2

Retail

“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 content gaps in product categories that appeared more often in AI responses for 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.”

–Verified Customer Review, G2

Profound

Profound combines monitoring, content generation and optimization through Agents, and Agent Analytics for AI-sourced traffic. Its Growth plan includes these capabilities, while Enterprise supports up to nine answer engines and adds custom scope, API access, and SSO.

The practical tradeoff is plan fit. Teams evaluating Growth should confirm that its engine coverage and seat allowance match their needs, then estimate Agent usage for their content workflow. AthenaHQ Starter uses a different credit model, so the two vendors’ credits should not be treated as interchangeable units. See Profound’s current plan details.

For an AthenaHQ and Profound evaluation, run your own buyer questions and content through both platforms. Check citation quality, the usefulness of suggested actions, and the reporting each platform provides after you publish changes. Customer reviews can help identify questions to ask, but historical reviews should not be used as proof that a current feature is missing.

How to Shop for an AEO / GEO Tool

When comparing AEO/GEO tools, assess the AI search engines they track, the visibility metrics they report, and whether those metrics support your brand's goals. Your choice can shape how you measure and improve your brand's visibility in AI search over time.

Business Results

Connect Visibility to Revenue

When comparing AI search platforms, assess whether each one links AI search visibility to revenue, leads, and customer acquisition. Use those business results to evaluate the value of its AEO / GEO efforts.

Scalability for Your Team

Empower Your Entire Organization

Generative AI search work requires input from teams such as marketing, content, and analytics. Choose a tool with unlimited seats so everyone involved can contribute to your answer engine optimization (AEO) strategy without per-user cost barriers.

Comprehensive AI Coverage

Monitor All Major AI Models

When comparing AEO platforms, check whether each tool monitors the major generative models your audience uses. Cross-model coverage gives you a clearer view of where and how your brand is cited, so you can prioritize the visibility gaps that need attention.

Actionable Workflows

From Insights to Execution

Prioritize platforms that turn AI search insights into assigned actions, such as content updates, ownership, and progress tracking.

Special AEO Tool Considerations for Different Roles

Start by identifying the role that will use the tool and the outcomes that role needs to measure. AEO/GEO supports several marketing functions, so evaluation criteria should match each team’s responsibilities and goals.

CMOs: Focus on Strategic Visibility and 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.

When comparing AthenaHQ and Profound, prioritize platforms that report share of voice across answer engines, sentiment in generated responses, competitive visibility, and topics where the brand needs more 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 and Branding Teams: Monitor Narrative and Reputation

PR and brand teams need to know how AI systems describe their brand. Generative-engine summaries of brands and products can shape public perception, so teams should monitor whether the information is accurate, credible, and consistent with the brand.

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. Test content, structure, and schema changes quickly, then use answer-tracking data to see whether they improve your chances of appearing in generated answers.

Step-by-Step Guide to Implementing AEO Tools

Choose an AEO tool that fits your goals, data needs, and team workflow. Then use the following implementation steps to put it into practice:

Phase 1: Assessment and Setup

• 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

• 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

• Track citation performance: Each week, track where AI search platforms mention and cite your brand, then compare the results over time.
• Iterate based on data: Use citation insights to identify gaps, then update the relevant content.
• Scale across teams: Give each content-producing department access to the same AEO workflow, using unlimited seats to coordinate their work.

Become the Brand AI Trusts

AthenaHQ helps businesses improve their visibility and trust with consumers and AI engines. Its platform focuses on increasing citation probability and connecting AI visibility work to measurable business outcomes.

Frequently Asked Questions

What's the difference between AEO and SEO?

SEO (Search Engine Optimization) improves a page's visibility in traditional search engine results pages (SERPs), with the goal of earning visits to the website. AEO (Answer Engine Optimization) structures content so AI-powered answer engines can retrieve, cite, or surface it in direct responses. SEO prioritizes organic ranking and click-throughs, while AEO prioritizes clear, well-supported answers that answer engines can understand and reference, including when users do not visit the source page.

What's the difference between GEO and SEO?

Generative Engine Optimization (GEO) helps a brand earn citations in answers from AI search platforms. Search Engine Optimization (SEO) helps pages rank in traditional search results, where users click through to a website. For GEO, publish clear, well-sourced content that AI systems can interpret and cite.

How much should I budget for AEO tools?

AthenaHQ Starter is $295/month when billed monthly. Profound Growth is $399/month when billed monthly; Profound also offers a $99/month Starter plan limited to ChatGPT tracking. Compare included usage, seats, tracked AI engines, and content credits before choosing a plan. The monthly price alone does not show the full scope.

Which AI platforms should my AEO tool support?

At minimum, monitor ChatGPT, Google Gemini, Claude, and Perplexity. Start with the engines your audience uses, then confirm that your plan includes them before you buy.

How quickly can I see results from AEO?

AEO results vary with your content, competition, and how answer engines retrieve sources. Establish a baseline, record changes, and monitor citations and attributable traffic over time, because no fixed improvement timeline is guaranteed.

Can I use my existing SEO content for AEO?

Yes. Start by restructuring existing SEO pages around clear, direct answers, then support each answer with evidence. AI models are more likely to cite content that makes claims easy to find and verify. Keep the useful foundation of each page while adapting it for Generative Engine Optimization (GEO).

Do I need technical expertise to implement AEO tools?

Marketing teams without technical backgrounds can use AEO platforms such as AthenaHQ. Guided workflows and actionable recommendations support effective Answer Engine Optimization (AEO) without coding or other technical implementation.