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Top Stonly Alternatives (2026): Features, Migration & TCO

Compare 8 Stonly alternatives by pricing, content model, and migration complexity. Covers TCO, branching-logic trade-offs, and extraction via Stonly's API.

Nachi Raman Nachi Raman · · 22 min read
Top Stonly Alternatives (2026): Features, Migration & TCO
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Top Stonly Alternatives (2026): Features, Migration & TCO

If you're evaluating Stonly alternatives in 2026, you're likely hitting one of several walls: guide-view overages that spike your bill unpredictably, search that doesn't surface the right content, authoring friction that turns every SOP into a graph-building project, or a pricing jump from Small Business to Enterprise with no middle ground.

This guide compares eight realistic alternatives across content model, real pricing, migration complexity, and total cost of ownership. We cover what actually happens when you try to move interactive guides out of Stonly — the API extraction, the branching-logic flattening problem, and the content-fidelity trade-offs no vendor comparison page mentions.

Disclosure: Published by ClonePartner, a data migration service. Pricing figures are sourced from vendor pricing pages, Vendr transaction data, and third-party analyses as of Q2 2026. Where pricing is quote-based or historical, we note it explicitly.


Why Teams Switch Away from Stonly

Stonly isn't a bad product. It pioneered interactive step-by-step guides for customer service and remains one of the few platforms that natively supports branching decision trees inside a knowledge base. But several constraints push teams to look elsewhere.

Guide-View Billing and Overage Risk

The Small Business plan costs $249/month (or $199/month billed annually) and includes unlimited guides, 5 team members, multi-language support, triggers, integrations, and advanced customization — but caps you at 4,000 guide views per month. That sounds generous until you embed guides across a high-traffic help center, in-app widget, and agent desktop simultaneously.

If guide views consistently exceed limits for two months, Stonly automatically upgrades accounts with advance notice. The upgrade path goes straight to Enterprise, which is quote-based. Vendr transaction data puts the median Stonly Enterprise contract at approximately $3,250/month. There is no intermediate tier to absorb moderate growth between $199/month and that figure.

Authoring Friction

Writing a standard SOP in Markdown takes minutes. Building that same SOP as a branching Stonly guide requires mapping out user paths, configuring individual nodes, and testing the logic. Maintenance becomes a specialized task instead of a shared team responsibility. At scale, this bottleneck means content updates lag behind product changes.

Search Quality Gaps

Many users report that Stonly's search results lack precision, with no way to surface contextual prompts on a live site. The fundamental issue is architectural: Stonly uses keyword-based search over branching content, where relevant context is hidden behind conditional clicks rather than exposed in a flat, indexable text body. Flat-text articles index cleanly into BM25-based search engines and LLM-based RAG pipelines. Branching content obscures the same information behind step sequences, so users looking for a specific API parameter or policy detail often abandon search rather than click through a five-step widget. For teams relying on the knowledge base as a self-service deflection layer, this directly increases ticket volume.

Narrow Use-Case Focus

Stonly is designed for mid-market and enterprise support teams, so smaller teams or startups with lightweight knowledge needs may find it more than they require. If your primary need is documentation — API docs, internal wikis, SOPs — Stonly's interactive-guide-first architecture adds complexity you don't need. Embedding complex JavaScript widgets also introduces page-load latency (typically 200–500ms additional render time) and potential conflicts with strict Content Security Policies (CSP), which block third-party scripts by declaring an allowlist of trusted origins in the Content-Security-Policy HTTP header. Teams running CSP-strict environments must explicitly allowlist Stonly's widget CDN domain.


Stonly Data Model: What You're Actually Migrating

Before comparing alternatives, understand what Stonly content looks like under the hood. This determines how hard migration will be.

  • Guide — The primary content unit. A guide can be a linear walkthrough, a branching decision tree, or a standard article. Guides contain steps connected by conditional logic.
  • Step — An individual screen within a guide. Each step can contain text, images, videos, inputs, buttons, and branching paths.
  • Knowledge Base — A published collection of guides organized into categories and subcategories. Small Business includes one knowledge base; Enterprise supports multiple.
  • Widget — An embeddable launcher that surfaces guides inside your product or website. Widget configuration (targeting rules, triggers, placement) is separate from guide content.
  • AI Answers — Stonly's AI layer that ingests guide content and responds to user queries. Configuration and training data are tied to your Stonly instance.

Stonly stores content as JSON objects containing steps and choices. A step is a node. A choice is a directional edge pointing to the next node. When you query the Stonly API, you get a payload like this:

{
  "guide": {
    "id": "g_8472",
    "title": "Password Reset Flow",
    "steps": [
      {
        "id": "s_1",
        "content": "Are you an admin or a standard user?",
        "choices": [
          { "text": "Admin", "next_step_id": "s_2" },
          { "text": "Standard", "next_step_id": "s_3" }
        ]
      }
    ]
  }
}

The branching structure is the migration killer. A single Stonly guide with five decision points and three options each generates up to 243 unique paths (3⁵ = 243). Flattening that into a linear article for a platform like Zendesk Guide or Helpjuice means choosing which paths to preserve and which to collapse — a content architecture decision, not just a data transfer.


How to Extract Data from Stonly

Stonly's open API allows you to programmatically manage content — organizing and exporting guides and folders, integrating AI Answers with external tools, and managing user provisioning.

API access and authentication: The Stonly API uses Bearer token authentication. To obtain an API key, navigate to your Stonly workspace settings → Integrations → API. API access is available on the Small Business plan and above; it is not available on free trials. By default, the API is available at https://public.stonly.com/api/. If your instance is hosted in a US-based data center, use https://public.us.stonly.com/api/ instead.

Stonly also documents PDF export for individual guides and bulk CSV and Parquet exports on request.

Info

GDPR portability right: Under GDPR, you have the right to data portability — you can request and receive your personal data in a structured, commonly used, and machine-readable format from any service provider, including Stonly. This is a fallback if the API doesn't expose everything you need.

What the API gives you:

  • Guide content and structure (steps, branching logic, text, media references)
  • Folder/category hierarchy
  • AI Answers configuration

What the API does not give you:

  • Widget configuration and targeting rules (must be recreated manually)
  • Historical analytics data (session insights export to CSV only via the dashboard)
  • Rendered HTML of published guides (you get structured data, not the published output)

Do not rely on Stonly's native PDF exports for migration. Exporting a branching guide to PDF strips the interactive logic and generates a disjointed document. You'll spend more time manually re-typing PDF content than you would writing a custom API extraction script.


Stonly Alternatives Compared: Pricing, Architecture, and Trade-Offs

Document360 — Best for Standalone Knowledge Base at Scale

What it is: Document360 is a standalone help-center and knowledge base platform built for SaaS companies that want a dedicated documentation product. It is sold per project, not per user, and a project corresponds to one knowledge base.

Pricing: Document360 discontinued its free tier in November 2024 and moved all pricing behind sales contacts. Prior to that change, Professional was ~$149/project/month and Business was ~$299/project/month — treat these as historical reference points only. Current pricing requires a vendor quote. Teams paying $799 or more per project are on Enterprise, which adds SAML SSO, SCIM, IP allowlisting, audit logs, white-label customization, and a dedicated customer success manager.

Why it fits: Document360 supports both standard articles and step-by-step guides (created through the AI Capture browser extension, capped at 200 steps per guide), version control, multilingual content per project, and strong API documentation features. If your Stonly usage is primarily knowledge base articles with some guided content, Document360 is the closest architectural match.

Migration complexity: Medium. Document360 has a REST API for importing articles, though API access isn't available on the Standard tier. Rate limits start at 60 requests per minute on Professional and Business tiers, rising to 100 rpm on Enterprise. The main challenge is flattening Stonly's branching guides into Document360's linear step-by-step format. Expect to lose conditional branching unless you split each path into a separate article. Document360 supports ZIP exports in JSON, Markdown, or HTML format with automatic daily backups, which is favorable for future exit planning.

Trade-off: Per-project pricing means multi-brand teams (separate KBs for different products) pay per project, which compounds quickly. The shift to fully quote-based pricing makes budgeting harder without a sales conversation.

Zendesk Guide — Best for Teams Already on Zendesk

What it is: Zendesk Guide is the knowledge base and self-service module embedded within the Zendesk Suite. It lets customers find answers through help articles, AI-powered search, and chatbot deflection. Zendesk's search uses a combination of keyword indexing and BM25-style relevance ranking; the Advanced AI add-on adds semantic reranking via intent classification over article embeddings.

Pricing: You can't buy Guide on its own — it's included only as part of Zendesk Suite plans. Suite Team starts at $55/agent/month, and Suite Professional costs $115/agent/month. The Advanced AI add-on is $50/agent/month on top of Suite Professional, making the effective cost $165/agent/month for AI-assisted deflection. At 10 agents, that's $1,650/month before add-ons.

Why it fits: If you're already running Zendesk for ticketing, Guide is the path of least resistance. Your knowledge base articles become the source material for Zendesk's AI agent, and the integration between ticket deflection and self-service is native. This often represents a net savings by eliminating the Stonly subscription entirely.

Migration complexity: Medium-high. Zendesk Guide uses a flat article model — no branching, no decision trees. Every Stonly guide with conditional logic must be flattened into one or more linear articles. Zendesk caps articles at 40,000 on Enterprise plans, and the Help Center API limits article body HTML to 64KB for translations. Large Stonly guides flattened into single articles may exceed this limit and require splitting. API throughput is usable at scale: documented limits range from 200 to 2,500 requests per minute depending on plan.

Exit cost: Zendesk has no built-in export tool for help-center articles. Backups are API-based only. If future exit cost matters, this needs to surface during procurement, not after renewal.

Trade-off: Per-agent pricing is punishing at scale. The help center is one module in a massive platform that can take months to fully configure. Zendesk's AI search improvement requires the $50/agent/month Advanced AI add-on — teams on Suite Team get basic keyword search only.

For a deeper look at Zendesk's ecosystem and migration trade-offs, see our Zendesk alternatives guide.

Intercom (Fin) — Best for AI-First Customer Communication

What it is: Intercom combines a public Help Center, centralized Knowledge workspace, Messenger, shared inbox, ticketing, automation, and Fin AI Agent — making it a credible knowledge-enabled customer service platform. Intercom was acquired by Salesforce for approximately $3.6 billion in June 2026; factor platform roadmap uncertainty into long-term planning.

Pricing: The cheapest path is $29/seat/month billed annually (Essential) plus Fin AI Agent at $0.99 per resolution. Most B2B SaaS teams end up at the Advanced tier (~$85/seat/month) once they need private help centers, multilingual support, and workflow automation. SSO and HIPAA support require the Expert tier at $132/seat/month. At 10 agents resolving 500 tickets/month via Fin, expect $850/month in seat costs plus $495/month in resolution fees at the Advanced tier — approximately $1,345/month before add-ons.

Why it fits: If your goal is to replace Stonly's AI Answers with something more powerful, Fin is one of the strongest in the category. Intercom reports Fin resolves approximately 76% of support conversations autonomously as of 2026. Intercom's REST API supports high throughput: 10,000 API calls per minute per app and 25,000 per minute per workspace.

Migration complexity: Medium. Intercom supports importing from Zendesk, Confluence, Guru, and Notion — but not Stonly natively. The standard route is Stonly export → custom transform → Intercom Articles API plus manual rebuild of guided flows.

Exit cost: Intercom documents that it is currently not possible to export articles from the workspace UI. Plan for this exit constraint before signing.

Trade-off: The knowledge base increasingly exists to feed the AI agent and its per-outcome billing, not to be a best-in-class standalone docs tool. The Salesforce acquisition introduces product-direction uncertainty that did not exist pre-2026.

Helpjuice — Best for Search Quality and Flat-Rate Pricing

What it is: A dedicated, standalone knowledge base platform focused on search quality and deep branding customization. Helpjuice uses semantic search over article content rather than pure keyword matching, which accounts for much of the consistently positive search-quality feedback in user reviews.

Pricing: Current pricing is $249/month for Knowledge Base (30 users), $449 for AI-Knowledge Base (100 users), and $799 for Unlimited AI-Knowledge Base. Every plan includes unlimited articles, unlimited readers, and custom design. No per-seat math. No annual discount gimmick.

Why it fits: Helpjuice's flat-rate pricing eliminates the guide-view and per-agent billing surprises that drive teams away from Stonly and Zendesk. Search quality is consistently cited as a differentiator in G2 and Capterra reviews (current G2 rating: 4.3/5 across 200+ reviews as of mid-2026). It supports CSV/XLS imports, a REST API v3 for content operations, and full-data exports including articles, categories, media, users, and analytics. API v3 rate limit is 100 requests per minute.

Exit cost: Most generous standard exports of any platform in this list — articles, categories, media, users, and analytics available via both API and UI export. No re-import limitation documented.

Migration complexity: Low-medium. Helpjuice uses a traditional article model with categories and tags. Non-branching Stonly articles migrate cleanly. Branching guides require flattening.

Trade-off: No native approval workflows, and SSO requires the $449/month tier. The $249/month minimum is expensive if you're a small team. This is a knowledge-base platform, not a substitute for Stonly's branching guides or in-guide automations.

KnowledgeOwl — Best for Predictable Public Pricing

What it is: An article-first knowledge base with transparent, public pricing and both internal and external KB support.

Pricing: As of August 2026: Basic at $100/month, Pro at $250/month, and Business at $500/month. Each plan includes one knowledge base and one author. Additional authors cost $25/month each; additional KBs cost $50/month each. All plans include unlimited readers. This is the most transparent pricing model in this comparison — no sales call required.

Why it fits: KnowledgeOwl is the easiest platform in this list to model financially. It supports direct import from Zendesk, Word imports, an API, and webhooks. For a 5-person team needing a clean external KB, Pro at $250/month plus four additional authors ($100/month) totals $350/month — significantly cheaper than most alternatives.

Migration complexity: Low-medium. Since Stonly isn't a native import source, most teams convert Stonly content to Word, HTML, or API payloads first.

Exit cost: HTML ZIP backups are available, but KnowledgeOwl's docs note that exported knowledge bases cannot be imported back into the platform. This limits round-trip portability.

Trade-off: Classic KB, not a branching workflow tool. Stonly decision trees become plain articles. The single-author-per-plan model means a 5-author team on Pro pays $350/month versus $250 for the base plan alone.

Knowmax — Best for Enterprise Contact Centers (and the Only True Branching Alternative)

What it is: Knowmax is an AI-powered knowledge management platform that supports dynamic, data-driven decision trees and customer self-service. It is the only alternative in this comparison that natively preserves Stonly's branching content model.

Pricing: Quote-based. Knowmax targets enterprise contact centers and does not publish pricing. Based on publicly available contract disclosures and analyst estimates, annual contracts typically start in the $30,000–$60,000 range depending on agent count and module selection. Expect a 30–60 day sales cycle.

Architecture: Knowmax's decision-tree builder stores content as directed graphs with node/branch/condition structures that map directly to Stonly's step/choice model. Migration from Stonly to Knowmax preserves conditional logic without requiring flattening — the only destination platform where this is true. The platform also supports standard articles, SOPs, and visual guides, so non-branching Stonly content migrates via standard import paths.

API and migration specifics: Knowmax provides a REST API for content import and management. Decision-tree structures can be ingested via JSON payloads that accept node definitions and conditional edge mappings — semantically compatible with Stonly's exported guide structure. Exact rate limits are not publicly documented; confirm with vendor during evaluation.

Why it fits: For teams where branching-guide format is the primary reason they chose Stonly, Knowmax is the only migration path that avoids content architecture downgrade. Contact center teams relying on guided troubleshooting flows for agent-assisted interactions should evaluate Knowmax before choosing a flat-article platform and discovering the loss of conditional logic post-migration.

Trade-off: Enterprise-only pricing and sales cycle. Not viable for SMBs or teams under 50 agents. Implementation typically requires a dedicated onboarding engagement (4–8 weeks). Knowmax has less third-party integration coverage than Zendesk or Intercom.

Alternative branching options: ServiceNow Knowledge Management (enterprise, quote-based) and Salesforce Knowledge with Flow Builder (enterprise, bundled with Service Cloud) both support branching content natively but require broader platform commitments. Paligo supports structured DITA content with conditional filtering — not interactive branching, but better conditional publishing than flat-article platforms.

Guru — Best for Internal Knowledge Only

What it is: Guru is an internal knowledge platform — everyone who needs to read your content needs a paid seat. There is no public knowledge base option.

Pricing: Two plans: Self-serve ($25/seat/month) and Enterprise (sales call required). Self-serve requires a 10-seat minimum, so the real starting price is $250/month. Vendr data shows the median buyer pays $37,800 per year.

Why it fits: If your Stonly usage is purely agent-facing — internal decision trees, troubleshooting guides, SOPs — Guru's verification system and browser/Slack integrations make knowledge accessible where agents actually work. Guru's browser extension surfaces relevant cards inline in any web-based tool without agents switching tabs.

Migration complexity: Medium. Guru's API supports card creation, but it has no concept of branching guides. Every Stonly guide becomes one or more Guru "cards." The content verification workflow (assigning owners, setting expiration dates) must be configured post-migration.

Exit cost: Guru supports full content export via API. Cards export with metadata, owners, and verification status.

Trade-off: If your product has 100 customers, you'll need 100 Guru seats to give them access — there is no public knowledge base available. Guru is strictly internal. If you need any customer-facing self-service, Guru is not the answer.

Notion — Best for Budget-Conscious Internal Teams

What it is: A general-purpose workspace with wiki, docs, and database features.

Pricing: Notion Personal Pro costs $5/user/month. Teams plan is $10/user/month. Notion AI is an add-on at $10/user/month. No custom domain on lower tiers, no SEO tools, no AI chatbot for customer-facing use.

Why it fits: For teams that used Stonly primarily for internal SOPs and documentation, Notion offers a dramatically cheaper alternative with a flexible block-based editor. Notion's toggle blocks provide a unique advantage for migrating branching content: you can map Stonly steps to collapsible toggle_heading_2 blocks, maintaining some interactive feel without proprietary lock-in.

Migration complexity: Medium. Notion's API supports page creation with rich blocks but enforces a limit of 100 blocks per API request — migrating large Stonly guides requires paginated PATCH requests. There's no branching-logic equivalent. Images and media need to be re-hosted to external storage (Notion does not provide an API endpoint for asset upload; images must be hosted externally and referenced by URL).

Exit cost: Notion supports full workspace export in Markdown and CSV format from the Settings menu. Exported Markdown files preserve page hierarchy and basic formatting. Toggle blocks export as nested Markdown — reconstructable but requires post-processing.

Trade-off: Notion was not built for customer-facing knowledge bases. Public pages lack analytics, SEO controls, and custom branding. Search degrades in workspaces with over 100,000 blocks if naming conventions aren't strictly enforced. Notion's search is title-weighted; body content is less reliably surfaced than in dedicated KB platforms.


TCO Comparison: 3-Year Cost at Realistic Team Sizes

The table below models total cost of ownership over three years for a 10-agent support team running a customer-facing knowledge base. It includes base platform cost, AI add-ons where applicable, and estimated migration cost. It excludes internal labor for content maintenance.

Platform Monthly Base AI Add-On Year 1 (incl. migration) 3-Year TCO
Stonly (Small Business) $199–249 Included $2,988–$3,588 $7,164–$8,964
Stonly (Enterprise, Vendr avg.) ~$3,250 Included ~$39,000 ~$117,000
Document360 (Business, historical) ~$299/project AI Suite extra ~$5,000–$6,500 ~$12,000–$15,000
Zendesk Suite Team (10 agents) $550 +$500 (Advanced AI) ~$10,000–$14,000 ~$22,000–$38,000
Intercom Advanced (10 seats) $850 + resolutions Per-resolution ~$15,000–$20,000 ~$40,000–$55,000
Helpjuice (AI KB) $449 flat Included ~$6,500 ~$16,200
KnowledgeOwl (Pro) $250 N/A ~$5,000 ~$9,000
Guru (Self-serve, 10 seats) $250 Enterprise only ~$4,000 ~$9,000
Knowmax Custom (~$2,500+/mo) Included ~$30,000+ ~$90,000+
Notion (10 users, Teams) $100 Notion AI $10/user ~$2,500 ~$5,400
Warning

Migration cost is not in the monthly fee. Budget $2,000–$8,000 for a managed Stonly migration depending on guide count, branching complexity, and target platform. DIY migrations using the Stonly API typically take 2–4 weeks of engineering time for teams with 100+ guides.

Exit Costs Matter Too

TCO isn't just what you pay going in — it's what you pay getting out. Ask every shortlisted vendor two questions before signing: How do we export full article bodies and assets? and Can we re-import a full backup?

The answers vary dramatically:

Platform Export Method Re-Import Possible? Asset Export
Zendesk API only (no UI export tool) No native path Manual
Intercom Cannot export from UI No Manual
KnowledgeOwl HTML ZIP from UI No (docs explicitly state this) Included in ZIP
Helpjuice API + UI (articles, categories, media, users, analytics) Yes via API Included
Document360 ZIP in JSON, Markdown, or HTML Yes Included; daily auto-backup
Guru API export with metadata Yes via API Manual
Notion Markdown + CSV workspace export Partial (requires post-processing) External hosting only

These differences surface at renewal time, not during the demo. Vendors with poor export paths have structural leverage over customers at renewal.


The Branching-Logic Problem: What Breaks During Migration

This is the migration constraint that every vendor comparison ignores.

Stonly's guides are tree-shaped. A guide titled "Troubleshoot Billing Issue" might branch based on payment method → error type → account status → resolution. A single guide could contain 15–30 steps across multiple paths. Every alternative except Knowmax uses a flat article model.

You have three practical strategies for handling this:

Strategy 1: Flatten to a Single Article

Collapse all branches into one long document. Convert Stonly choices into anchor links (<a href="#step-credit-card">), with each step becoming an H2 with a corresponding id attribute. This preserves all content in a single searchable document.

Best for: Zendesk Guide, Helpjuice. Risk: Creates massive, scrolling pages. Can violate Zendesk's 64KB article body limit for guides with many branches. Destroys the interactive experience. Search engines index all paths equally, which may surface irrelevant content for specific queries.

Strategy 2: Split into Multiple Articles

Create one article per leaf path ("Billing: Credit Card Declined," "Billing: PayPal Dispute"). Step 1 becomes its own article, and choices become standard hyperlinks pointing to separate articles.

Best for: Document360, KnowledgeOwl — any platform with strong category hierarchies. Risk: Multiplies your article count significantly (a 5-level guide with 3 options becomes up to 243 separate articles). Requires restructuring your KB taxonomy and maintaining cross-article links as content changes.

Strategy 3: Hybrid Approach

Keep the top-level branching as a single "overview" article with links to path-specific articles. This combines discoverability with specificity. The overview article explains the top-level decision ("Are you on a monthly or annual plan?"), and each choice links to a dedicated resolution article.

Best for: General purpose, especially when some guides are simple and others are deeply branched. Works well in Document360 and KnowledgeOwl, which both support hierarchical category structures.

For Notion specifically, you can map Stonly steps to collapsible toggle_heading_2 blocks. Users click the toggle to reveal the next step, which maintains some interactive feel without proprietary lock-in. This approach works for internal teams but breaks down for customer-facing content because Notion's search doesn't index toggle block content as reliably as exposed body text.

The Infinite Loop Danger

Because Stonly allows authors to route users backward (e.g., a "Start Over" button pointing back to Step 1), the data structure frequently contains circular references.

If you write a naive recursive script to extract and flatten the content, it will follow the circular path, enter an infinite loop, and crash. Your extraction logic must track visited nodes using a depth-first search (DFS). Here's the conceptual Python logic:

def flatten_stonly_guide(node, visited=None, depth=0):
    if visited is None:
        visited = set()
 
    # Prevent infinite loops from circular references
    if node.id in visited:
        return f"<p><em>See previous step: {node.title}</em></p>"
 
    visited.add(node.id)
 
    # Map node to HTML with depth-limited heading levels
    html = f"<h{min(depth + 2, 6)}>{node.title}</h{min(depth + 2, 6)}>"
    html += f"<div>{node.content}</div>"
 
    # Traverse choices (each choice is a directed edge to next node)
    if node.choices:
        html += "<ul>"
        for choice in node.choices:
            html += f"<li><strong>{choice.text}:</strong> "
            html += flatten_stonly_guide(choice.next_node, visited, depth + 1)
            html += "</li>"
        html += "</ul>"
 
    return html

This visited-node tracking is not optional. Any migration script that doesn't track visited node IDs will break on real Stonly data. The visited set is shared across all recursive calls within a single guide traversal — do not reinitialize it between choices at the same depth level.


Migration Playbook: Stonly to Any Target

Regardless of destination, the migration workflow follows the same pattern:

Step 1: Audit your Stonly content. Export a guide inventory via the API. Count total guides, identify which use branching vs. linear structure, and flag guides with embedded media (images, videos). This audit determines migration scope and cost. A rough heuristic: each branching guide adds 2–4 hours of engineering time versus 15–30 minutes for a linear guide.

Step 2: Choose a flattening strategy. For branching guides, decide whether to flatten, split, or use the hybrid approach before writing any code. Document the decision in a content mapping spreadsheet. Changing strategy mid-migration requires rewriting the transform logic.

Step 3: Extract via API. Use Stonly's content API to pull guide structures, step content, and media URLs. Parse the JSON into your intermediate format.

import requests
 
API_BASE = "https://public.stonly.com/api/"
# For US data center instances, use:
# API_BASE = "https://public.us.stonly.com/api/"
HEADERS = {"Authorization": "Bearer YOUR_API_KEY"}
 
# List all guides
guides = requests.get(f"{API_BASE}v1/guides", headers=HEADERS).json()
 
for guide in guides["data"]:
    guide_detail = requests.get(
        f"{API_BASE}v1/guides/{guide['id']}",
        headers=HEADERS
    ).json()
    # Process steps, branching logic, media refs
    process_guide(guide_detail)

Note: Stonly's API does not return rendered HTML. You receive structured JSON representing the guide graph. Your transform step must convert this into the output format your target platform accepts.

Step 4: Transform content. Map Stonly's step/branch structure to your target platform's content model. Re-host images and videos to the target's storage. Stonly uses its own rich-text format internally — it is neither standard Markdown nor HTML. You will need to write a serializer that converts Stonly's rich-text nodes to your target format.

Step 5: Import to target. Use the destination platform's API to create articles, pages, or cards. Validate that all content, media, and categories transferred correctly. Run automated link-checking after import to catch broken media references.

Step 6: Redirect and verify. If your Stonly KB was public, set up URL redirects from old Stonly URLs to new platform URLs. Run a side-by-side QA pass comparing source and destination guide-by-guide.

Tip

Don't forget widget configuration. If you used Stonly's widget for in-app help, you'll need to recreate targeting rules, triggers, and placement in your new platform's equivalent (Intercom Messenger, Zendesk Web Widget, Document360's widget, etc.). No export path exists for widget configuration — this is always manual work and is frequently underestimated in migration scopes.

Warning

If your team uses Stonly inside Zendesk, Salesforce, Freshdesk, Kustomer, or Front and relies on in-guide actions to update tickets or cases, a docs platform alone will not replace that behavior. These integrations use Stonly's action blocks to write data back to the ticketing system. Plan for workflow rebuild, not just content import.


Decision Framework: Which Alternative Fits Your Use Case

You primarily run customer-facing help centers → Document360 or Helpjuice. Document360 if you need API docs and developer portal features. Helpjuice if search quality and flat-rate pricing matter most — and if exit portability is a priority, Helpjuice has the strongest export tooling. KnowledgeOwl if transparent, fully public pricing is a hard requirement.

You're already on Zendesk or Intercom → Use the built-in KB. The integration value (ticket deflection, AI training, unified analytics) outweighs the limitations of their article models. Adding a third vendor for knowledge alone creates content sync problems and adds cost without proportional benefit.

Your guides are primarily agent-facing → Guru for internal-only knowledge with verification workflows and browser-extension surfacing. Knowmax if you need to preserve decision-tree branching for contact center agents at scale.

You need branching decision trees → Knowmax is the only alternative that natively supports Stonly's content model. ServiceNow Knowledge and Salesforce Knowledge with Flow Builder are secondary options requiring broader platform commitments. Every other option in this list requires content architecture downgrade through flattening.

Your real problem is onboarding, not support docs → Evaluate a product-adoption tool like UserGuiding ($174/month at 2,000 MAU) instead. It's a different category entirely and natively supports interactive walkthroughs without the knowledge-base overhead.

You're a small team on a tight budget → Notion for internal ($10/user/month Teams), KnowledgeOwl Basic ($100/month) for external. Or stay on Stonly's Small Business plan — at $199/month annual, it's genuinely competitive for teams that stay under the 4,000 guide-view cap.

You have fewer than 50 agents and need branching → This is the hardest case. Knowmax requires enterprise commitment. Your realistic options are: (1) stay on Stonly, (2) flatten to Helpjuice or Document360 and accept the content downgrade, or (3) implement custom branching using a headless CMS with conditional content rendering.


When to Stay on Stonly

Not every evaluation should end in a migration. Stay on Stonly if:

  • Interactive branching is core to your support model. No other platform under $30,000/year natively supports this. Flattening guides to migrate is a permanent content architecture downgrade.
  • You're under the guide-view cap. At $199/month annual, Stonly's Small Business plan is cheaper than most alternatives for what it delivers. The break-even point against Helpjuice's $449/month AI KB tier is roughly when you need more than 30 knowledge contributors.
  • You're using Knowledge Agents. Stonly Knowledge Agents work continuously in the background, monitoring your knowledge and checking it against source material and incoming tickets to identify what needs to change, then draft updates for your review. This proactive maintenance feature — automated gap detection triggered by ticket content — does not have a direct equivalent in most alternatives as of mid-2026.

The honest answer: Stonly's content model is genuinely differentiated. The reasons to leave are cost scaling, search quality, or needing a broader platform — not Stonly doing its core job poorly.


Getting Migration Help

Migrating from Stonly involves a content architecture problem, not just a data transfer. The branching-logic flattening, media re-hosting, widget reconfiguration, and URL redirect mapping add up to a project that's consistently harder than it looks from the outside.

The most common mistake is treating this as a content migration only. The harder work is mapping branching logic, preserving URLs, and rebuilding the small integrations that made the original setup useful. Teams that start with "we'll just use the API" typically discover the circular reference problem, the rich-text serialization gap, and the missing widget configuration about halfway through — after they've already committed to the destination platform.

For a detailed breakdown of migration service costs versus DIY approaches, see our guide on service versus DIY migration. For migrations targeting SharePoint specifically, see our Stonly to SharePoint migration guide.

Frequently Asked Questions

How do I export my data from Stonly?
Stonly has an open API at public.stonly.com/api/ that lets you export guides, folders, and content programmatically. You can also request bulk CSV and Parquet exports, and use your GDPR data portability right as a fallback. Analytics session data can be exported to CSV from the dashboard, but historical analytics won't transfer to a new platform. Avoid PDF exports for migration — they strip branching logic and produce disjointed documents.
What is the best Stonly alternative for customer-facing knowledge bases?
Document360 and Helpjuice are the strongest standalone options. Document360 offers per-project pricing with versioning, multilingual support, and developer docs features. Helpjuice provides flat-rate pricing ($249–$799/month) with strong search quality. KnowledgeOwl is the most predictable to budget ($100–$500/month, fully public pricing). If you're already on Zendesk or Intercom, use their built-in help center instead of adding a third tool.
Can I migrate Stonly's branching guides to another platform without losing interactivity?
Not without significant trade-offs. Stonly's branching decision-tree guides have no direct equivalent in most alternatives — Zendesk Guide, Intercom, Helpjuice, and KnowledgeOwl all use flat articles. You'll need to flatten branches into single articles, split them into multiple articles, or use a hybrid approach. Knowmax is the only alternative that natively supports decision-tree branching without content loss.
How do you prevent infinite loops when migrating Stonly data?
Stonly guides are directed graphs that often contain circular references (e.g., a 'Start Over' button pointing back to Step 1). Any recursive extraction script must track visited node IDs using a depth-first search (DFS) algorithm. Without this, the script will follow circular paths, enter an infinite loop, and crash.
How long does a Stonly migration take?
DIY migrations using the Stonly API typically take 2–4 weeks of engineering time for teams with 100+ guides, mostly due to content transformation and branching-logic flattening decisions. Managed migrations through a service can complete faster, depending on guide complexity, media volume, and target platform.

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