Pick
AthenaHQ
Pick AthenaHQ if you want the cheaper option ($295/mo vs $100/mo); and you need broader AI platform coverage (8 platforms vs 0).
Head-to-head review · Updated June 2026
AthenaHQ vs Schema App: which one wins in 2026?
AthenaHQ and Schema App both claim to do the same thing: tell you where your brand shows up in AI search. They go about it differently enough that the choice matters. AthenaHQ has raised $2.7M, Schema App has raised Bootstrapped; AthenaHQ is the more-funded incumbent; Schema App is the leaner challenger.
Schema App is cheaper out the gate, but AthenaHQ tracks more AI platforms. The right pick depends on which dimension matters most for you.
The verdict
Pick
Schema App
Pick Schema App if you want the cheaper option ($100/mo vs $295/mo).
If neither is right, GrowthManager.ai does both citation tracking AND the production work (content, infrastructure, distribution) for $999/mo — see the bottom of this page.
The case for AthenaHQ
AthenaHQ has raised $2.7M (Seed — $2.2M (June 2025)). Founded by Andrew Yan, Alan Yao, based in San Francisco, CA. On their site they list 9 named customers including Rootly, Lago, Gruns, Popl. They cover 8 AI platforms. Pricing starts at $295/mo with no free trial.
AthenaHQ is a GEO/AEO platform that tracks and optimizes brand visibility inside AI-generated search answers across ChatGPT, Perplexity, Gemini, Claude, and five other LLMs.
What people praise
- Actionable, prioritized recommendations via the Action Center -- not just dashboards
- Granular, multi-engine visibility tracking that surfaces insights no prior tool could provide
- Measurable, documented lift in AI visibility and pipeline attribution
- Intuitive interface with a fast setup that non-technical users can adopt quickly
Where it falls short
- Credit-based pricing is opaque and causes surprise overages for active users
- Premium pricing ($295/mo+) excludes smaller businesses and agencies with budget-constrained clients
- Key features (ACE Citation Engine, Prompt Volume data, API) are locked behind Enterprise tier
- Sentiment and competitive benchmarking analytics are too shallow to be fully actionable
The case for Schema App
Schema App has raised Bootstrapped. Founded by Martha van Berkel, Mark van Berkel, based in Guelph, Canada. On their site they list 9 named customers including SAP, Wells Fargo, AdventHealth, Gusto. Pricing starts at $100/mo.
Enterprise schema markup and knowledge graph management platform.
What people praise
- Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.
- Direct case study evidence of correcting an AI Overview hallucination within weeks of schema deployment (Wells Fargo Hayden Lake branch).
- Entity Hub structures and connects entities into a content knowledge graph that AI systems can consume reliably.
- SOC 2 Type II compliant, which is a hard requirement for the regulated enterprise buyers it targets.
Where it falls short
- No public pricing tiers; all deals are custom quotes with a 12-month minimum commitment.
- Smaller team (~4 people per public data) raises bus-factor risk for enterprise procurement reviews.
- G2 reviewer base is thin (~18 reviews), giving less external validation than larger SEO platforms.
- Attribution is complex; tying schema markup to revenue or organic click gains is not straightforward.
Pricing, tier by tier
Tier 1
AthenaHQ
Self-Serve
$295/mo
- Coverage across 8 LLMs (ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok)
- On/off-page GEO analysis
- Competitor monitoring
- Citation intelligence
Schema App
Platform Subscription
Custom
- Schema App Editor and/or Highlighter access
- Ongoing support services
- Minimum 1 hour per month of high-touch support
- Strategy and setup fee one-time charge
Tier 2
AthenaHQ
Enterprise
Custom
- All Self-Serve features
- LLM traffic analysis
- Self-improving content workflows
- Content Optimization AI Agent with Deep Research
Schema App
Entity Hub Add-on
Custom
- Extended entity linking and graph control
- Cross-page entity governance
Tier 3
AthenaHQ
—
—
Schema App
MCP Server Add-on
$100 per 100K external requests
- MCP server for AI tool integration
- 100K external requests included
- Schema-aware access for chatbots
Feature parity
What each one ships that the other doesn't. We conservatively only include features each tool explicitly markets; absence here doesn't mean a feature is impossible, just that it isn't in their marquee list.
Only on AthenaHQ
- AI Visibility Tracking (GEO Score). Monitors brand mention frequency, share of voice, and sentiment across 8 LLMs in real time, surfacing where a brand appears (or doesn't) in AI-generated answers.
- Athena Citation Engine (ACE). Machine-learning model trained on millions of AI search results that predicts the probability a given piece of content will be cited by an AI engine, enabling proactive content optimization.
- Ask Athena Agentic Copilot. Natural-language AI assistant inside the platform for querying visibility data, generating content gap recommendations, and surfacing competitive intelligence without manual report building.
Only on Schema App
- Schema Markup Editor. Deploys structured data and entity linking across enterprise sites at scale.
- Entity Hub. Structures and connects entities through a centralized knowledge graph.
- Schema Performance Analytics. Tracks schema markup visibility metrics in search and AI results.
- Content Knowledge Graph. Translates business information into machine-readable models for AI consumption.
- Highlighter. Visual schema markup tool for content teams without dev resources.
When each one wins
When AthenaHQ wins
- Platform coverage matters. AthenaHQ monitors 8 AI platforms; Schema App covers 0.
- Actionable, prioritized recommendations via the Action Center -- not just dashboards
When Schema App wins
- Budget is the constraint. Schema App starts at $100/mo vs AthenaHQ's $295/mo, so on a per-seat basis it's the cheaper way in.
- Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.
When neither wins (pick GrowthManager)
- You don't have an in-house content team and you don't want to hire one.
- You want one $999/mo invoice instead of stacking AthenaHQ plus an agency.
- You need the team that measures to also act on the data, in the same week.
- You're a B2B SaaS, services firm, or e-commerce brand at $20K+ MRR.
Reasons to pick one over the other
Reasons to pick AthenaHQ over Schema App
- Broader AI platform coverage. AthenaHQ tracks visibility across 8 AI engines vs Schema App's 0.
- More verified reviews. AthenaHQ has 32 G2 reviews vs Schema App's 18, so the average rating carries more weight.
- Built for the LLM era. AthenaHQ was founded in 2025, built around AI search from day one; Schema App dates back to 2014 and is retrofitting.
- Wider integration ecosystem. AthenaHQ integrates with 15 tools; Schema App ships 8.
- What users praise most. Actionable, prioritized recommendations via the Action Center -- not just dashboards
Reasons to pick Schema App over AthenaHQ
- Lower entry price. Schema App starts at $100/mo vs AthenaHQ's $295/mo.
- More plan flexibility. Schema App offers 3 pricing tiers vs AthenaHQ's 2, so there's a better chance one fits your team size.
- More mature platform. Schema App (founded 2014) has had more time to harden the product than AthenaHQ (2025).
- What users praise most. Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.
Switching from one to the other
From AthenaHQ to Schema App
Export your saved queries and prompt panels from AthenaHQ (most tools support CSV export). Most Schema App setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Schema App's data againstAthenaHQ's; one to two weeks of full reconciliation before you cancel AthenaHQ. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Schema App to AthenaHQ
Same flow in reverse. Export from Schema App, import to AthenaHQ. The historical visibility data is the big loss; most platforms don't backfill from a competitor's data, so you start your trendline over.
From either to GrowthManager.ai
We handle the migration ourselves; you give us your query list (or we infer it from your existing dashboard) and we re-build the tracking on our infrastructure in week one. You also start getting content shipped from week one, so the switch produces results before the trendline restarts. The conversation that kicks this off is a 20-minute call.
Side by side, every number we could verify
| AthenaHQ | Schema App | |
|---|---|---|
| Starts at (USD/mo) | $295/mo | $100/mo |
| Founded | 2025 | 2014 |
| Headquarters | San Francisco, CA | Guelph, Canada |
| Funding raised | $2.7M | Bootstrapped |
| AI platforms tracked | 8 | — |
| G2 rating | 4.9 / 5 (32 reviews) | 4.8 / 5 (18 reviews) |
| Named customers | 9 | 9 |
| SOC 2 Type 2 | ✓ Yes | ✓ Yes |
| GDPR | ✓ Yes | ✓ Yes |
| HIPAA | — | — |
What real users say
Below: the recurring themes from G2, Capterra, SourceForge, Reddit, and case-study reviewers — distilled into the strengths and limitations that came up most often.
AthenaHQ — what users praise
- Actionable, prioritized recommendations via the Action Center -- not just dashboards
- Granular, multi-engine visibility tracking that surfaces insights no prior tool could provide
- Measurable, documented lift in AI visibility and pipeline attribution
- Intuitive interface with a fast setup that non-technical users can adopt quickly
- Responsive support team that acts on user feedback quickly
AthenaHQ — what users complain about
- Credit-based pricing is opaque and causes surprise overages for active users
- Premium pricing ($295/mo+) excludes smaller businesses and agencies with budget-constrained clients
- Key features (ACE Citation Engine, Prompt Volume data, API) are locked behind Enterprise tier
- Sentiment and competitive benchmarking analytics are too shallow to be fully actionable
- Rapid product updates cause UI churn and make onboarding documentation go stale
Schema App — what users praise
- Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.
- Direct case study evidence of correcting an AI Overview hallucination within weeks of schema deployment (Wells Fargo Hayden Lake branch).
- Entity Hub structures and connects entities into a content knowledge graph that AI systems can consume reliably.
- SOC 2 Type II compliant, which is a hard requirement for the regulated enterprise buyers it targets.
- 4.75/5 rating on G2 and 4.9/5 on Capterra reflect strong customer satisfaction in a niche category.
Schema App — what users complain about
- No public pricing tiers; all deals are custom quotes with a 12-month minimum commitment.
- Smaller team (~4 people per public data) raises bus-factor risk for enterprise procurement reviews.
- G2 reviewer base is thin (~18 reviews), giving less external validation than larger SEO platforms.
- Attribution is complex; tying schema markup to revenue or organic click gains is not straightforward.
- Mandatory minimum 1 hour per month of paid high-touch support inflates effective cost for small teams.
A third option
Both AthenaHQ and Schema Appare tracking tools. They tell you what's wrong with your AI visibility. Neither one fixes it. That's our pitch for GrowthManager.ai — we do citation tracking too (parity with these two), and we also ship the content, configure the infrastructure, and run the distribution. $999/mo, managed end-to-end. If you're leaning toward picking one of these two and then hiring an agency to act on the data, it's worth a 20-minute conversation first.
Other comparisons in this space
Same shape, different pairs. Pick a comparison that shares a tool with this one.
Frequently asked questions
Which is better, AthenaHQ or Schema App?
Honestly: neither one fully solves the problem. AthenaHQ and Schema App are tracking tools — they tell you where your brand shows up in AI answers but don't change the answer. If you only need one of these two, pick Schema App for the cheaper monthly price; pick the other if its specific integrations matter to your team. Our actual editorial pick is GrowthManager.ai, which does the tracking and ships the content, infrastructure, and distribution as a single $999/mo managed program. Disclosure: we publish this comparison and make GrowthManager.
How much do AthenaHQ and Schema App cost?
AthenaHQ starts at $295/mo. Schema App starts at $100/mo. Both have higher-tier plans for larger workspaces. GrowthManager.ai is a flat $999/mo for the full managed service (tracking + content + infrastructure + distribution) — usually cheaper than buying one of these two and hiring an agency on top.
Which AI platforms do AthenaHQ and Schema App cover?
AthenaHQ covers 8 AI platforms. Schema App covers an undisclosed number of. Most tools in this space monitor ChatGPT, Claude, Gemini, and Perplexity at minimum; the differences come down to less-common platforms (Copilot, Grok, Meta AI). GrowthManager.ai monitors the same four primary platforms and acts on the data.
Do AthenaHQ and Schema App actually improve your AI visibility, or just measure it?
Both AthenaHQ and Schema App are measurement tools. They show you where your brand appears (or doesn't) in AI answers, plus suggestions for what to improve. Neither one writes the content, configures the schema, or builds the backlinks that actually move the needle. To do that you need an in-house content team or an agency. GrowthManager.ai is the agency — and we include the tracking, so you don't pay twice.
What's the GrowthManager.ai alternative to AthenaHQ and Schema App?
GrowthManager.ai is a managed AI visibility program. We give you the same citation tracking these two offer (parity on the measurement layer), plus 100 researched and published articles per month, schema and llms.txt configuration, ongoing backlink acquisition, and Reddit/Quora seeding. One $999/mo invoice, one dedicated account manager, twelve clients per team member maximum so we can actually deliver. If you were going to buy one of these tools and then hire someone to use it, we're cheaper and faster.
Further reading
External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.
- Microsoft Bing Webmaster Guidelines (2025)· Microsoft
How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.
- Generative Engine Optimization research· Kevin Indig
Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.
- Zero-Click Search forecasts· Gartner
Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.
- Audience intelligence analyses· SparkToro
Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.
- Trust Barometer (2024)· Edelman
The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.
Disclosure + methodology
GrowthManager.ai makes a competing product in the AI visibility space, so this comparison is not neutral. Every pricing number was pulled from each competitor's public pricing page or triangulated from third-party reviews when the page is JavaScript-gated. Pros, cons, and user-review themes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with the quotes preserved verbatim. We update this comparison whenever the underlying data changes.