Head-to-head review · Updated June 2026

Geneo vs Schema App: which one wins in 2026?

Geneo 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. Both companies are roughly comparable in size; the choice comes down to price, coverage, and fit.

Geneo is cheaper out the gate, but that's not the only thing that matters. The right pick depends on which dimension matters most for you.

The verdict
★ Our pick
Pick

Geneo

Pick Geneo if you want the cheaper option ($0/mo vs $100/mo); and you need broader AI platform coverage (3 platforms vs 0).

Pick

Schema App

Pick Schema App if you want the cheaper option ($100/mo vs $0/mo); and you trust traction signals — they list 9 customers, Geneo lists 0; and SOC 2 Type 2 matters for your security review.

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 Geneo

They cover 3 AI platforms. Pricing starts at $0/mo.

Agency-friendly GEO/AEO monitoring tool with white-label dashboards, competitor benchmarking, sentiment analysis, and transparent credit-based pricing.

What people praise

  • Built specifically for the generative search era with real-time tracking and sentiment insights
  • Organizes prompt libraries per client and logs answer snapshots, letting teams compare how engines cite brands over time
  • Multi-client workspaces, permissions, and alerting designed for agency workflows
  • White-label dashboards with custom domains, useful for agencies adding a GEO revenue stream

Where it falls short

  • Limited Reddit and G2 third-party validation, very few independent reviews to compare against
  • Tracks ChatGPT, Perplexity, and Google AI Overviews but not Claude, a gap as Claude usage grows
  • Few published SLAs and integration details, several behaviors need confirmation in a demo
  • Smaller team and roadmap velocity compared to YC-backed peers like Gauge

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
Geneo
Free
$0/mo
  • 50 trial credits
  • No credit card required
  • Multi-platform AI visibility monitoring
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
Geneo
Pro
$39.90/mo
  • 1,000 credits per month
  • Unlimited workspaces
  • All features
  • Sentiment analysis
Schema App
Entity Hub Add-on
Custom
  • Extended entity linking and graph control
  • Cross-page entity governance
Tier 3
Geneo
Pay-as-you-go / Enterprise
Custom
  • Custom credit bundles
  • Volume discounts
  • Enterprise SLAs on request
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 Geneo
  • Real-time Brand Monitoring. Tracks brand mentions across ChatGPT, Perplexity, and Google AI Overviews continuously
  • Sentiment Analysis. Scores how positively or negatively AI engines describe the brand
  • Competitor Analysis. Benchmarks share of voice and ranking against named competitors
  • Historical Trend Data. Stores answer snapshots so teams can correlate content changes to visibility shifts
  • AI Content Recommendations. Suggests structured content edits to improve how AI engines cite the brand
  • White-Label Agency Mode. Branded client dashboards with custom domains for resold GEO services
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 Geneo wins
  • Budget is the constraint. Geneo starts at $0/mo vs Schema App's $100/mo, so on a per-seat basis it's the cheaper way in.
  • Platform coverage matters. Geneo monitors 3 AI platforms; Schema App covers 0.
  • Built specifically for the generative search era with real-time tracking and sentiment insights
When Schema App wins
  • You're enterprise and need to call a reference. Schema App lists 9 named customers; Geneo lists 0.
  • Procurement requires SOC 2 Type 2. Schema App has it; Geneo doesn't yet.
  • 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 Geneo 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 Geneo over Schema App

  1. Lower entry price. Geneo starts at $0/mo vs Schema App's $100/mo.
  2. Broader AI platform coverage. Geneo tracks visibility across 3 AI engines vs Schema App's 0.
  3. Built for the LLM era. Geneo was founded in 2024, built around AI search from day one; Schema App dates back to 2014 and is retrofitting.
  4. What users praise most. Built specifically for the generative search era with real-time tracking and sentiment insights

Reasons to pick Schema App over Geneo

  1. More named customers. Schema App lists 9 customers vs Geneo's 0, including SAP, Wells Fargo, AdventHealth.
  2. SOC 2 Type 2. Schema App carries SOC 2 Type 2; Geneo does not yet, which can hold up procurement.
  3. More verified reviews. Schema App has 18 G2 reviews vs Geneo's none on file, so the average rating carries more weight.
  4. Faster product velocity. Schema App has shipped 4 public launches in the last year vs Geneo's 0.
  5. More mature platform. Schema App (founded 2014) has had more time to harden the product than Geneo (2024).
  6. Wider integration ecosystem. Schema App integrates with 8 tools; Geneo ships 3.
  7. 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 Geneo to Schema App

Export your saved queries and prompt panels from Geneo (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 againstGeneo's; one to two weeks of full reconciliation before you cancel Geneo. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.

From Schema App to Geneo

Same flow in reverse. Export from Schema App, import to Geneo. 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

GeneoSchema App
Starts at (USD/mo)$0/mo$100/mo
Founded20242014
HeadquartersGuelph, Canada
Funding raisedBootstrapped
AI platforms tracked3
G2 rating4.8 / 5 (18 reviews)
Named customers9
SOC 2 Type 2✓ Yes
GDPR✓ 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.

Geneowhat users praise

  • Built specifically for the generative search era with real-time tracking and sentiment insights
  • Organizes prompt libraries per client and logs answer snapshots, letting teams compare how engines cite brands over time
  • Multi-client workspaces, permissions, and alerting designed for agency workflows
  • White-label dashboards with custom domains, useful for agencies adding a GEO revenue stream
  • Lowest-priced of the AI visibility platforms reviewed, $39.90/mo Pro tier is accessible for solo founders and small teams

Geneowhat users complain about

  • Limited Reddit and G2 third-party validation, very few independent reviews to compare against
  • Tracks ChatGPT, Perplexity, and Google AI Overviews but not Claude, a gap as Claude usage grows
  • Few published SLAs and integration details, several behaviors need confirmation in a demo
  • Smaller team and roadmap velocity compared to YC-backed peers like Gauge
  • No publicly named enterprise customer logos, case studies are mostly anonymized

Schema Appwhat 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 Appwhat 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 Geneo 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, Geneo or Schema App?

Honestly: neither one fully solves the problem. Geneo 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 Geneo 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 Geneo and Schema App cost?

Geneo starts at $0/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 Geneo and Schema App cover?

Geneo covers 3 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 Geneo and Schema App actually improve your AI visibility, or just measure it?

Both Geneo 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 Geneo 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.

  1. 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.

  2. 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.

  3. 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.

  4. Audience intelligence analyses· SparkToro

    Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.

  5. 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.