JetOctopus vs Oncrawl in 2026: transparent modular pricing vs a stronger REST API and citation tracking behind a demo
Both are cloud crawl-and-log platforms that track AI bots at the URL level. JetOctopus tells you the price without a sales call. Oncrawl adds AI-generated answer visibility and a more developed BI-ready API, but only through an enterprise, demo-first process.
JetOctopus publishes pricing starting at 293 EUR/month with itemized add-ons. Oncrawl has no public pricing; every plan requires a demo and custom quote.
Oncrawl includes AI-generated answer visibility monitoring, tracking whether content is cited in AI responses. JetOctopus's AI features track bot crawl access, not answer citations.
Oncrawl's REST API is described as a core strength, integrating with Looker Studio, BigQuery, and Tableau. JetOctopus's integrations are centered on an Ahrefs connection rather than general BI/data-warehouse connectors.
JetOctopus explicitly guarantees no user or project limits on any plan. Oncrawl's tool data does not publish seat or project limits at all, since every contract is custom.
JetOctopus includes GSC integration with 16+ months of history and GA4 connectivity. Oncrawl's own feature list does not mention GSC or GA4 integration.
Both tools track more than one AI bot through log analysis: JetOctopus lists 40+ bots including GPTBot and ClaudeBot; Oncrawl names GPTBot, ClaudeBot, and PerplexityBot specifically at the URL level.
JetOctopus and Oncrawl are the closest match in this batch of comparisons: both are cloud platforms built around the same core idea, that crawl data alone does not tell you what is actually happening, you need server logs too. Both ingest logs to show which URLs Googlebot and AI bots like GPTBot, ClaudeBot, and PerplexityBot are visiting. Where they diverge is pricing model and scope beyond the core crawl-and-log job. JetOctopus publishes real numbers, 293 EUR/month for its base plan, and adds GSC integration with 16+ months of history and GA4 connectivity. Oncrawl keeps pricing fully custom behind a demo, but its REST API is described as one of its genuine strengths, integrating cleanly with Looker Studio, BigQuery, and Tableau, and it adds AI-generated answer visibility monitoring, tracking whether content actually gets cited in AI responses, which JetOctopus does not do. If you want to see a number today, JetOctopus wins by default. If a BI pipeline and citation tracking matter more than pricing transparency, Oncrawl is worth the sales call.
The tools at a glance
JetOctopus
SEO crawler and log analyzer for large sites that combines crawl data, server logs, GSC, and GA4 into one platform with no seat or project limits
JetOctopus and Oncrawl start from the same premise, that crawl simulation alone is not enough and real server logs are the only source of truth for what bots actually do. JetOctopus's version of that story adds a JavaScript crawler that flags zero-content pages after rendering, an AI internal linker reporting up to 30% crawl efficiency gains, and real-time alerts across indexation and Core Web Vitals.
What sets JetOctopus apart from Oncrawl specifically is the breadth of first-party integrations beyond crawl and logs: GSC connectivity with more than 16 months of history, exceeding what Google's own interface retains, plus GA4. Oncrawl's public feature list does not describe an equivalent GSC or GA4 integration, leaning instead on its API for teams that want to pull that context from elsewhere.
The clearest practical difference is how you buy it. JetOctopus's pricing is modular but published: 293 EUR/month base, add-ons priced separately, no seat or project limits, no demo required to see a number. That transparency comes at the cost of a citation-tracking layer, JetOctopus's AI Search Visibility module checks whether bots can crawl a page, not whether the brand ends up cited in an AI-generated answer.
| Feature | 500K Plan 293 EUR/month (billed annually) | Add-on: Crawl from 138 EUR/month | Add-on: Logs from 86 EUR/month | Add-on: GSC from 43 EUR/month |
|---|---|---|---|---|
| Crawl pages included | 500K (or 250K JS) | Up to 10M+ | N/A | N/A |
| Log lines included | 2M | N/A | Up to 50M | N/A |
| GSC properties | 3 | N/A | N/A | Up to 1,000 |
| User limits | None | None | None | None |
| Project limits | None | None | None | None |
| AI bot tracking | ✓ | ✓ | ✓ | ✓ |
Oncrawl
Cloud-based technical SEO platform combining crawl data, log analysis, and AI bot tracking.
Oncrawl's pitch is that log analysis should never have been an add-on for a crawler, it is core to the product. Server logs are mapped against crawl data to show which URLs Googlebot and AI bots are actually visiting and where crawl budget gets wasted on pages that will not generate rankings or citations. That combination, at scale, handles very large sites well because of the platform's cloud architecture.
Oncrawl goes a step further than JetOctopus on the AI side by adding AI-generated answer visibility monitoring, checking whether a site's content is actually being cited in AI responses, alongside AI bot crawl tracking for GPTBot, ClaudeBot, and PerplexityBot. That combination, crawl access plus citation visibility, is not something JetOctopus offers. The REST API is also a genuine differentiator, described as well-documented and structured cleanly enough to feed Looker Studio, BigQuery, and Tableau directly.
The catch is access. There is no self-serve tier and no public pricing anywhere; every engagement starts with a demo and a custom quote. The platform also demands real configuration to get value from, and crawl scheduling and alerting are described as less flexible than some competitors at similar price points. For a team that wants to try before committing to a contract, that friction is real.
| Feature | Enterprise Contact for pricing |
|---|---|
| Pricing model | Custom |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Server log analysis | Yes, core feature, 40+ bots | Yes, core feature |
| AI bot crawl tracking (GPTBot, ClaudeBot, PerplexityBot) | Yes, 40+ bots including GPTBot and ClaudeBot | Yes, GPTBot, ClaudeBot, PerplexityBot at URL level |
| AI-generated answer / citation visibility | No | Yes, AI-generated answer visibility monitoring |
| GSC integration | Yes, 16+ months of data | Not listed in feature set |
| GA4 integration | Yes | Not listed in feature set |
| BI / data-warehouse connectors (Looker Studio, BigQuery, Tableau) | Not listed; Ahrefs integration included | Yes, Looker Studio, BigQuery, Tableau |
| JavaScript rendering crawl | Yes, up to 250 pages/sec | Not specified |
| Internal linking recommendations | Yes, AI internal linker | No |
| Public pricing | Yes, published tiers | No, contact for pricing |
| User / project limits | None on any plan | Not publicly disclosed |
| Starting price | 293 EUR/mo | Custom (demo required) |
Oncrawl can tell you if content gets cited in AI answers, but only after a demo and a custom enterprise quote.

Oncrawl's AI-generated answer visibility monitoring is a genuine capability, it checks whether a site's pages actually show up as citations in AI responses, not just whether AI bots can crawl them. JetOctopus has no equivalent at all. But Oncrawl bundles that citation tracking inside a fully custom, sales-led enterprise platform with no public pricing, so there is no way to buy just the AI-visibility piece without committing to the whole crawl-and-log contract. AI Peekaboo tracks brand mentions across ChatGPT, Gemini, Perplexity, and Google AI Overviews with a read and write API on every plan starting at $50/month, self-serve, no demo. Teams running JetOctopus or Oncrawl primarily for crawl and log depth often find it faster and cheaper to pair either one with a dedicated citation tracker like AI Peekaboo than to buy Oncrawl's full enterprise bundle for that one feature.
Read the AI Peekaboo review →Which should you choose?
These two are close enough on core crawl-and-log capability that the deciding factor is usually operational: how you want to buy it and what you need to plug it into. JetOctopus wins on transparency, published pricing, no seat limits, and a GSC/GA4 layer Oncrawl does not describe having. Oncrawl wins on depth in two specific places, an API strong enough to be a real data source for BigQuery or Tableau, and AI-generated answer visibility that goes beyond crawl access into actual citation tracking. Neither advantage is free: Oncrawl's comes wrapped in a demo-first, no-public-pricing sales process that JetOctopus does not require.
Bottom line
Pick JetOctopus if you want a real number today, unlimited seats and projects, and GSC/GA4 unified with crawl and log data, 293 EUR/month is the known cost of that. Pick Oncrawl if your team already runs BI infrastructure around BigQuery or Tableau and needs AI answer citation tracking bundled with crawl and log depth, and is willing to sit through a demo to get custom pricing. For most technical SEO teams evaluating on cost and speed to value, JetOctopus is the lower-friction starting point; Oncrawl earns its place when the API and citation-tracking depth are specifically what you are buying.
Frequently asked questions
Does Oncrawl track whether a site is cited in ChatGPT or Perplexity answers, and does JetOctopus do the same?
Oncrawl does, through its AI-generated answer visibility monitoring, which checks whether content is actually being cited in AI responses. JetOctopus does not have this; its AI Search Visibility module only checks whether bots like GPTBot can crawl a page, which is a prerequisite for citation but not proof of it.
Why is JetOctopus pricing published while Oncrawl requires a demo for a quote?
JetOctopus prices by page and log volume with published tiers starting at 293 EUR per month, so teams can estimate cost without contacting sales. Oncrawl sells exclusively through an enterprise, demo-first process with fully custom quotes and no self-serve option, which the company's own materials list as a source of friction for teams wanting to evaluate before committing.
Which tool has the stronger API for feeding external BI tools like Looker Studio or BigQuery?
Oncrawl, based on its own published feature description, which calls its REST API a genuine strength and describes clean integration with Looker Studio, BigQuery, and Tableau. JetOctopus's integrations center on an Ahrefs connection included across its modules rather than a general-purpose BI or data-warehouse connector.
Does JetOctopus or Oncrawl include Google Search Console and GA4 data alongside crawl data?
JetOctopus does. It connects to GSC via API in bulk mode with more than 16 months of history, plus GA4 connectivity, both included in the base plan with add-on properties available. Oncrawl's public feature list does not describe a GSC or GA4 integration, focusing instead on crawl, log, and performance data with API export to external tools.
Is Oncrawl worth the demo process for a mid-sized site, or is JetOctopus the easier starting point?
For a mid-sized site without existing BI infrastructure or a specific need for AI answer citation tracking, JetOctopus is the easier starting point since its pricing is published and there is no sales process required to begin. Oncrawl's enterprise-only, demo-first model and lack of public pricing make more sense for larger organizations that specifically need its API depth or citation-visibility feature and can justify the sales cycle.

