Pick
OnCrawl
Pick OnCrawl if you trust traction signals — they list 10 customers, Vexa lists 0.
Head-to-head review · Updated June 2026
OnCrawl vs Vexa: which one wins in 2026?
OnCrawl and Vexa 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.
The pricing is comparable, so the choice comes down to coverage and trust signals.
The verdict
Pick
Vexa
Vexa is the right pick if your team prefers their approach and pricing fits.
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 OnCrawl
Founded by Francois Goube, Tanguy Moal, based in Bordeaux, France. On their site they list 10 named customers including Adidas, L'Oreal, Ticketmaster, Harrods.
Enterprise SEO data platform combining crawl, logs, and AI insights.
What people praise
- JavaScript-capable crawler scales to 300M+ URLs per project, putting it in the same league as Botify and DeepCrawl for enterprise sites.
- Log file analyzer processes 500M+ log lines per day, surfacing how Googlebot, Bingbot, and AI crawlers actually behave on the site.
- Cross-references crawl data, server logs, GSC, GA4, Adobe Analytics, and Majestic backlinks in one analysis - few competitors integrate all five sources.
- 100% unsampled data analysis appeals to enterprise SEOs frustrated with GA4 sampling and Search Console limits.
Where it falls short
- No public pricing - book-a-demo gating means SMBs and indie consultants are filtered out before evaluation.
- Capterra rating of 3.8 is the lowest among major technical SEO crawlers, with reviewers citing UI complexity and pricing opacity.
- Steep learning curve - the platform assumes data-science fluency, which leaves marketers needing a technical SEO specialist to extract value.
- Self-serve onboarding is limited; complex multi-source setups (logs plus crawl plus analytics) typically need OnCrawl's customer success team.
The case for Vexa
Founded by Dmitry Grankin. Pricing starts at $0/mo.
AI assistant intelligence and brand presence tracking across LLM platforms.
What people praise
- Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
- Up to 40% cheaper than Recall.ai ($0.30/hr versus ~$0.50/hr bot rate), the most-cited paid alternative.
- Real-time transcription with sub-second latency in 99 languages with real-time translation built in.
- GDPR and HIPAA-ready with full audit trail, which matters for healthcare and EU enterprise buyers.
Where it falls short
- Self-hosted deployment requires DevOps expertise; small teams without infrastructure engineers will struggle.
- Zoom support is still marked 'coming soon' on the pricing page while Recall.ai already supports it.
- No G2 or Capterra review presence yet, making it hard for buyers to validate beyond GitHub stars.
- Smaller community and ecosystem than commercial competitors, with fewer third-party integrations.
Pricing, tier by tier
Tier 1
OnCrawl
—
—
Vexa
Self-Hosted (Free)
$0/mo
- Full open-source platform
- Self-hosted on your infrastructure
- Complete data sovereignty
- Transcription only $0.002/min for self-hosted bots
Tier 2
OnCrawl
—
—
Vexa
Individual
$12/mo
- 1 concurrent bot
- Real-time transcription
- 12-month audio storage
- Web dashboard access
Tier 3
OnCrawl
—
—
Vexa
Pay-as-you-go
$0.30/hr bot + $0.20/hr transcription
- Unlimited concurrent bots
- $5 free credit for new accounts (~16 hours)
- All features available
- Webhooks and API access
Tier 4
OnCrawl
—
—
Vexa
Enterprise
Custom
- On-premises deployment
- Dedicated support and SLA
- Custom integrations
- Audit trail and compliance documentation
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 OnCrawl
- SEO Crawler. JavaScript-capable cloud crawler that audits 300M+ URLs, mapping site architecture, internal linking, and orphan pages.
- Log File Analyzer. Processes 500M+ log lines daily to show how Googlebot, Bingbot, and AI bots interact with the site.
- Data3 Cross-Analysis. Combines crawl, logs, GSC, GA4, Adobe Analytics, and Majestic data in unified reports with custom segmentation.
- SEO Impact Report. Connects technical SEO metrics to business outcomes like organic revenue and conversions.
- REST API. Full developer API with automated crawl scheduling and log ingestion for enterprise SEO automation.
Only on Vexa
- Meeting Bot API. REST API that deploys bots to Google Meet, Microsoft Teams, and Zoom (coming soon) to record and transcribe meetings.
- Real-Time Transcription. Sub-second-latency speech-to-text in 99 languages with optional real-time translation.
- Interactive Bots. Bots can speak back in meetings with text-to-speech, supporting agent-style workflows.
- Programmatic Screenshare. Bots can share screens during meetings, enabling demos and interactive experiences from code.
- MCP Server. Built-in Model Context Protocol server lets Claude, ChatGPT, Cursor, and n8n consume meeting data directly.
- Self-Hosted Deployment. Full Apache 2.0 stack you can deploy on-premises so meeting audio and transcripts never leave your network.
When each one wins
When OnCrawl wins
- You're enterprise and need to call a reference. OnCrawl lists 10 named customers; Vexa lists 0.
- JavaScript-capable crawler scales to 300M+ URLs per project, putting it in the same league as Botify and DeepCrawl for enterprise sites.
When Vexa wins
- Budget is the constraint. Vexa starts at $0/mo vs OnCrawl's $∞/mo, so on a per-seat basis it's the cheaper way in.
- Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
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 OnCrawl 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 OnCrawl over Vexa
- More named customers. OnCrawl lists 10 customers vs Vexa's 0, including Adidas, L'Oreal, Ticketmaster.
- Faster product velocity. OnCrawl has shipped 5 public launches in the last year vs Vexa's 0.
- More mature platform. OnCrawl (founded 2013) has had more time to harden the product than Vexa (2024).
- What users praise most. JavaScript-capable crawler scales to 300M+ URLs per project, putting it in the same league as Botify and DeepCrawl for enterprise sites.
Reasons to pick Vexa over OnCrawl
- Lower entry price. Vexa publishes a clear entry tier at $0/mo; OnCrawl gates pricing.
- Public pricing. Vexa publishes 4 tiers on its website; OnCrawl requires a sales conversation.
- HIPAA-ready. Vexa is HIPAA compliant; OnCrawl is not.
- Built for the LLM era. Vexa was founded in 2024, built around AI search from day one; OnCrawl dates back to 2013 and is retrofitting.
- What users praise most. Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
Switching from one to the other
From OnCrawl to Vexa
Export your saved queries and prompt panels from OnCrawl (most tools support CSV export). Most Vexa setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Vexa's data againstOnCrawl's; one to two weeks of full reconciliation before you cancel OnCrawl. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Vexa to OnCrawl
Same flow in reverse. Export from Vexa, import to OnCrawl. 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
| OnCrawl | Vexa | |
|---|---|---|
| Starts at (USD/mo) | Custom | $0/mo |
| Founded | 2013 | 2024 |
| Headquarters | Bordeaux, France | — |
| Funding raised | — | — |
| AI platforms tracked | — | — |
| G2 rating | 4.4 / 5 | — |
| Named customers | 10 | — |
| SOC 2 Type 2 | — | — |
| GDPR | ✓ Yes | ✓ Yes |
| HIPAA | — | ✓ Yes |
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.
OnCrawl — what users praise
- JavaScript-capable crawler scales to 300M+ URLs per project, putting it in the same league as Botify and DeepCrawl for enterprise sites.
- Log file analyzer processes 500M+ log lines per day, surfacing how Googlebot, Bingbot, and AI crawlers actually behave on the site.
- Cross-references crawl data, server logs, GSC, GA4, Adobe Analytics, and Majestic backlinks in one analysis - few competitors integrate all five sources.
- 100% unsampled data analysis appeals to enterprise SEOs frustrated with GA4 sampling and Search Console limits.
- 30-day ROI guarantee gives risk cover for enterprise buyers piloting against incumbent BrightEdge or Conductor deployments.
OnCrawl — what users complain about
- No public pricing - book-a-demo gating means SMBs and indie consultants are filtered out before evaluation.
- Capterra rating of 3.8 is the lowest among major technical SEO crawlers, with reviewers citing UI complexity and pricing opacity.
- Steep learning curve - the platform assumes data-science fluency, which leaves marketers needing a technical SEO specialist to extract value.
- Self-serve onboarding is limited; complex multi-source setups (logs plus crawl plus analytics) typically need OnCrawl's customer success team.
- BrightEdge ownership raises long-term roadmap questions for customers who prefer best-of-breed technical SEO over consolidated suites.
Vexa — what users praise
- Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
- Up to 40% cheaper than Recall.ai ($0.30/hr versus ~$0.50/hr bot rate), the most-cited paid alternative.
- Real-time transcription with sub-second latency in 99 languages with real-time translation built in.
- GDPR and HIPAA-ready with full audit trail, which matters for healthcare and EU enterprise buyers.
- MCP server integration ships out of the box for Claude, ChatGPT, Cursor, and n8n workflows.
Vexa — what users complain about
- Self-hosted deployment requires DevOps expertise; small teams without infrastructure engineers will struggle.
- Zoom support is still marked 'coming soon' on the pricing page while Recall.ai already supports it.
- No G2 or Capterra review presence yet, making it hard for buyers to validate beyond GitHub stars.
- Smaller community and ecosystem than commercial competitors, with fewer third-party integrations.
- Dashboard is open-source Next.js but reviewers note it is less polished than Otter.ai or Fireflies UI.
A third option
Both OnCrawl and Vexaare 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, OnCrawl or Vexa?
Honestly: neither one fully solves the problem. OnCrawl and Vexa 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 OnCrawl 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 OnCrawl and Vexa cost?
OnCrawl starts at Custom. Vexa starts at $0/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 OnCrawl and Vexa actually improve your AI visibility, or just measure it?
Both OnCrawl and Vexa 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 OnCrawl and Vexa?
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.