DivvyHQ vs OmniBound in 2026: A discontinued content calendar vs an AI search citation platform
DivvyHQ planned when content got published. OmniBound tracks whether ChatGPT and Perplexity cite your brand once it does. They are not really competing for the same budget.
DivvyHQ
OmniBound- DivvyHQ was acquired by Lytho in 2022. The divvyhq.com domain now redirects to Lytho, so it is not a product available for new signups.
- OmniBound tracks buyer prompts in ChatGPT and Perplexity and surfaces citation gaps where competitors appear in AI answers and your brand does not, a capability DivvyHQ never had at any point in its lifespan.
- DivvyHQ had a visual calendar and intake forms for scheduling content production. OmniBound has no calendar view; it connects citation gap analysis directly to a content workflow rather than a scheduling grid.
- Neither tool publishes pricing. DivvyHQ required a sales call at every tier, and OmniBound is contact-for-pricing only, with a single Enterprise tier.
- OmniBound has no API access and no white-label delivery, the same two gaps that limited DivvyHQ, which means agencies serving multiple clients get no programmatic or white-label option from either tool.
- OmniBound is a newer platform with limited independent user reviews at time of writing, while DivvyHQ has years of operating history, even though that history ended with the Lytho acquisition.
DivvyHQ and OmniBound end up in the same search results because both get filed under "content strategy" tools, but they answer completely different questions. DivvyHQ was a visual editorial calendar for planning, assigning, and approving marketing content, acquired by Lytho in 2022 and no longer sold in its original form. OmniBound is an AI search marketing platform that tracks which buyer prompts your brand should be winning in ChatGPT and Perplexity, surfaces the specific topics where competitors get cited and you do not, and connects that gap analysis to a content production workflow. One is a dead scheduling tool; the other is a live platform built around a problem DivvyHQ never addressed at all: whether AI answer engines mention your brand when buyers ask about your category. This comparison exists mostly to clarify that distinction for anyone who lands here expecting two similar options.
The tools at a glance
DivvyHQ
Content calendar and editorial planning platform for structured publishing teams
DivvyHQ solved a scheduling and coordination problem: giving marketing teams a shared calendar where every piece of content had an owner, a due date, a channel, and a workflow stage, with intake forms that turned stakeholder requests into structured calendar items instead of scattered Slack messages. Campaign grouping let editors see how individual posts tied to a broader launch, and configurable approval stages handled review before publishing.
None of that touched what happens after content goes live, and specifically it never addressed whether that content actually showed up when someone asked ChatGPT or Perplexity a question about the category. DivvyHQ was built in an era when the main distribution concern was getting content published on schedule across owned channels, not whether an AI answer engine would cite it.
The product was acquired by Lytho in 2022, and the standalone version has not been independently developed since. The divvyhq.com domain now redirects to Lytho's compliance-oriented creative operations platform, so the calendar-and-workflow tool described above is no longer the product you would actually be buying.
| Feature | Starter Contact sales | Business Contact sales | Enterprise Contact sales |
|---|---|---|---|
| Content calendars | 1 | Multiple | Unlimited |
| Users included | Up to 3 | Custom | Custom |
| Content intake forms | Yes | Yes | Yes |
| Campaign planning | No | Yes | Yes |
| Workflow approvals | No | Yes | Yes |
| WordPress integration | Yes | Yes | Yes |
| SSO and admin controls | No | No | Yes |
OmniBound
AI search marketing platform for B2B teams optimizing visibility in ChatGPT, Perplexity, and AI answer engines
OmniBound starts from a specific observation: B2B buyers increasingly research vendors in ChatGPT and Perplexity before they ever run a Google search, and most content teams have no visibility into whether their brand shows up in those conversations. The platform maps buyer prompts driving AI search activity in a given category, shows which brands appear in the responses, and flags the citation gaps where competitors are present and you are not.
What separates OmniBound from a pure monitoring dashboard is the workflow layer that follows the gap analysis. Once a citation gap is identified, the platform connects that insight to a content production workflow, auditing existing pages for what could be updated to improve citation frequency and flagging topics with no coverage at all. That closes a loop most AI visibility tools leave open: you find out what to fix, and OmniBound helps you move toward actually fixing it without leaving the platform.
The tradeoffs are real. Pricing is contact-only with a single Enterprise tier, there is no API access to pull citation data into other systems, and there is no white-label option for agencies managing this on behalf of clients. The platform is also new enough that independent reviews are thin. For an in-house B2B marketing team convinced that AI search citations matter commercially, the sales conversation is probably worth having; for an agency wanting to resell this as a packaged service, the lack of white label is a real blocker.
| Feature | Enterprise Contact for pricing |
|---|---|
| Buyer prompt tracking | Yes |
| Citation gap analysis | Yes |
| Content audit | Yes |
| Workflow automation | Yes |
| API access | No |
| White label | No |
Head-to-head feature comparison
| Feature | DivvyHQ | OmniBound |
|---|---|---|
| Visual editorial calendar | Yes (core feature) | No |
| Content intake / request forms | Yes | No |
| Campaign grouping | Yes | No |
| Configurable approval workflows | Yes | No |
| AI search / buyer prompt tracking (ChatGPT, Perplexity) | No | Yes (ChatGPT, Perplexity) |
| Citation gap analysis | No | Yes (core feature) |
| Content workflow automation tied to gaps | No | Yes |
| API access | No | No |
| White-label delivery | No | No |
| Free tier | No | No |
| Public pricing | No (contact sales at every tier) | No (contact for pricing only) |
| Starting price | Undisclosed | Contact for pricing |
Considering AI Peekaboo alongside OmniBound?
OmniBound gates both API access and white-label delivery entirely, which rules it out for agencies wanting to resell AI search visibility as a client service and for any team that wants citation data flowing into its own dashboards. AI Peekaboo ships a read and write API on every plan starting at $50 per month, white-label reports with guest access links included at no extra cost, and a Looker Studio connector on all tiers. It tracks ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode with published, self-serve pricing instead of a contact-only Enterprise tier, making it the more workable option for agencies and consultants who need to deliver AI visibility reporting without a sales cycle.
Read the AI Peekaboo review →Which should you choose?
OmniBoundOmniBoundThe honest framing here is that this is barely a comparison in the usual sense, because the two tools are not fighting for the same use case. DivvyHQ, even when it was sold independently, never touched AI search visibility; it was a scheduling and approval tool for content that was already being written. OmniBound does not touch scheduling at all; it is built entirely around the question of whether AI answer engines cite your brand and how to close the gaps when they do not. If your team searched for this comparison expecting a calendar-versus-calendar decision, OmniBound will feel like the wrong tool. If you searched because you are trying to figure out whether AI search visibility deserves its own platform, DivvyHQ was never in the running to answer that regardless of its current status.
Bottom line
Do not evaluate DivvyHQ for a 2026 purchase; it is not sold as a standalone product. If your content team is trying to understand and close gaps in how ChatGPT and Perplexity cite your brand versus competitors, OmniBound is worth the sales call despite the contact-only pricing, as long as you do not need API access or white-label delivery. Agencies that need either of those should look past OmniBound entirely; AI Peekaboo covers that gap at $50 per month with published pricing and no sales call required.
Frequently asked questions
Is DivvyHQ still available to buy in 2026?
No, DivvyHQ is not sold as a standalone product in 2026. Lytho acquired the company in 2022, the divvyhq.com domain redirects to Lytho's website, and the calendar-and-workflow tool this comparison describes no longer exists in its original independent form.
What does OmniBound actually track that a content calendar does not?
OmniBound tracks which buyer prompts are driving AI search activity in your category and whether your brand gets cited in ChatGPT and Perplexity responses to those prompts, then surfaces the specific topics where competitors appear and you do not. A content calendar like DivvyHQ tracks production scheduling and workflow status, which is a completely different layer of the content process.
Does OmniBound have a free trial or public pricing?
No, OmniBound does not publish pricing or offer a self-serve trial. There is a single Enterprise tier and you need to contact their sales team to get a quote, which mirrors the same evaluation friction that DivvyHQ had at every one of its pricing tiers.
Is OmniBound a good fit for agencies managing multiple client brands?
Not currently, since OmniBound has no white-label reporting and no agency-specific pricing tier, which makes it harder to deliver as a packaged client service. It is built primarily for in-house B2B marketing teams rather than agencies reselling AI visibility work.
Can OmniBound replace what DivvyHQ used to do for content planning?
No, OmniBound does not have a scheduling calendar, intake forms, or approval workflows, so it cannot replace what DivvyHQ offered for production planning. OmniBound picks up a separate problem entirely: whether AI answer engines cite your brand once content exists, not how that content gets planned or approved.