Pick
Schema App
Pick Schema App if you want the cheaper option ($100/mo vs $99/mo); and SOC 2 Type 2 matters for your security review.
Head-to-head review · Updated June 2026
Schema App vs Topic: which one wins in 2026?
Schema App and Topic 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.
Topic 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
Pick
Topic
Pick Topic if you want the cheaper option ($99/mo vs $100/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 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.
The case for Topic
Founded by Ryo Chiba, Nikhil Aitharaju, based in Toronto, Canada. On their site they list 9 named customers including Magoosh, Quizlet, BiggerPockets, Amerisleep. Pricing starts at $99/mo.
Content optimization platform that turns research into briefs and outlines.
What people praise
- Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
- Simple Starter at $99/mo and $7 intro pack make it the cheapest serious entry point versus Surfer, Clearscope, and MarketMuse.
- Magoosh case study shows 300%+ year-over-year new-user growth on a single optimized post.
- Used by BiggerPockets, Magoosh, Quizlet, Amerisleep, Elementor, TrustRadius, and WSI.
Where it falls short
- Brief and optimization quotas (10 to 50 per month) are tight for agencies running multiple clients.
- No native AI article generator at the level of Surfer AI or Frase Pro; Topic positions as briefs, not full drafts.
- Pricing changes infrequent and no free trial beyond the $7 intro pack.
- Acquired by CafeMedia/Raptive in September 2021; roadmap pace has slowed compared to standalone Surfer or Clearscope.
Pricing, tier by tier
Tier 1
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
Topic
Starter
$99
- 10 content briefs and optimizations per month
- 1-month rollover
- 1 user seat
- Keyword research tool
Tier 2
Schema App
Entity Hub Add-on
Custom
- Extended entity linking and graph control
- Cross-page entity governance
Topic
Plus
$199
- 25 content briefs and optimizations per month
- 3 user seats
- 1-month rollover
- Keyword research tool
Tier 3
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
Topic
Premium
$299
- 50 content briefs and optimizations per month
- 5 user seats
- 1-month rollover
- Keyword research tool
Tier 4
Schema App
—
—
Topic
Enterprise
Custom
- Higher brief volume
- API access
- Custom seat counts
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 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.
Only on Topic
- Content Brief Builder. Analyzes top 30 Google results for a keyword and auto-suggests headings, questions, and required terms.
- Outline Builder. Drag-and-drop outline workspace with GPT-powered drafts of section titles and intros.
- Content Grader. Live scoring of drafts against target keywords and missing subtopics inside Google Docs or the web app.
- Keyword Research. Built-in keyword volume and difficulty data tied to brief creation.
- Google Docs add-on. Side panel that runs Topic's scoring on a draft without leaving Google Docs.
- WordPress plugin. Push optimized briefs and scores into the WordPress editor for the writer.
When each one wins
When Schema App wins
- Procurement requires SOC 2 Type 2. Schema App has it; Topic doesn't yet.
- Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.
When Topic wins
- Budget is the constraint. Topic starts at $99/mo vs Schema App's $100/mo, so on a per-seat basis it's the cheaper way in.
- Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
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 Schema App 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 Schema App over Topic
- SOC 2 Type 2. Schema App carries SOC 2 Type 2; Topic does not yet, which can hold up procurement.
- More verified reviews. Schema App has 18 G2 reviews vs Topic's none on file, so the average rating carries more weight.
- Faster product velocity. Schema App has shipped 4 public launches in the last year vs Topic's 0.
- Wider integration ecosystem. Schema App integrates with 8 tools; Topic ships 3.
- What users praise most. Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.
Reasons to pick Topic over Schema App
- Lower entry price. Topic starts at $99/mo vs Schema App's $100/mo.
- More plan flexibility. Topic offers 4 pricing tiers vs Schema App's 3, so there's a better chance one fits your team size.
- What users praise most. Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
Switching from one to the other
From Schema App to Topic
Export your saved queries and prompt panels from Schema App (most tools support CSV export). Most Topic setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Topic's data againstSchema App's; one to two weeks of full reconciliation before you cancel Schema App. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Topic to Schema App
Same flow in reverse. Export from Topic, import to Schema App. 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
| Schema App | Topic | |
|---|---|---|
| Starts at (USD/mo) | $100/mo | $99/mo |
| Founded | 2014 | 2019 |
| Headquarters | Guelph, Canada | Toronto, Canada |
| Funding raised | Bootstrapped | — |
| AI platforms tracked | — | — |
| G2 rating | 4.8 / 5 (18 reviews) | — |
| Named customers | 9 | 9 |
| 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.
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.
Topic — what users praise
- Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
- Simple Starter at $99/mo and $7 intro pack make it the cheapest serious entry point versus Surfer, Clearscope, and MarketMuse.
- Magoosh case study shows 300%+ year-over-year new-user growth on a single optimized post.
- Used by BiggerPockets, Magoosh, Quizlet, Amerisleep, Elementor, TrustRadius, and WSI.
- Native Google Docs add-on and WordPress plugin keep writers in their existing tools.
Topic — what users complain about
- Brief and optimization quotas (10 to 50 per month) are tight for agencies running multiple clients.
- No native AI article generator at the level of Surfer AI or Frase Pro; Topic positions as briefs, not full drafts.
- Pricing changes infrequent and no free trial beyond the $7 intro pack.
- Acquired by CafeMedia/Raptive in September 2021; roadmap pace has slowed compared to standalone Surfer or Clearscope.
- Keyword research tool is lighter than Ahrefs or Semrush; users still need a separate research stack.
A third option
Both Schema App and Topicare 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, Schema App or Topic?
Honestly: neither one fully solves the problem. Schema App and Topic 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 Topic 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 Schema App and Topic cost?
Schema App starts at $100/mo. Topic starts at $99/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.
Do Schema App and Topic actually improve your AI visibility, or just measure it?
Both Schema App and Topic 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 Schema App and Topic?
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.