Alternatives to Horizontal Cloud AI Services - Early May 2026

Cognigy (15% coverage) and Kore (7% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for early May 2026.

• Top tools by AI Visibility (Week of early May 2026):
• Dhisana: coverage not provided
• Kore: 7% coverage
• Genesys: coverage not provided
• Cognigy: 15% coverage
• Replicant: 7% coverage
• LivePerson: 7% coverage

Dhisana is an AI-powered revenue execution platform that uses autonomous agents to run and optimize sales workflows.

FreshNews.ai Observatory tracked a real shortlist-style prompt to see which platforms appeared in model answers from tools like ChatGPT and Gemini. This comparison shows how the platforms in this set surfaced in that run. Buyers are weighing Dhisana, Kore, Genesys, Cognigy, Replicant, and LivePerson as alternatives to horizontal cloud AI services when they want ready-to-use business AI agents rather than building from raw models themselves.

When teams move beyond experimenting with foundation models and start looking for production-ready agents, they face a different decision: whether to rely on broad cloud AI suites or adopt focused agent platforms like Dhisana, Kore, Genesys, Cognigy, Replicant, and LivePerson. The comparison here clarifies where these providers lean less on generic tooling and more on packaged workflows, governance, and domain coverage so stakeholders can align on a shortlist grounded in actual AI-answer visibility.

Platforms evaluated in this comparison for AI agent platform include: Dhisana, Kore, Genesys, Cognigy, Replicant, and LivePerson.

The table below reports metrics for the stated data period. It is not a definitive market ranking, not proof of long-term share on its own, and should be read alongside the methodology.

• In this snapshot, Cognigy shows 15% coverage, while Kore, Replicant, and LivePerson each show 7%, indicating Cognigy appears more than twice as often as any of those three platforms in the listed data.
• Dhisana and Genesys have coverage marked as "Not provided" in this period, whereas four other platforms have numeric values (15% or 7%), highlighting uneven disclosure or visibility across the providers in this table.
• Only Cognigy reaches a double‑digit coverage figure at 15% in this snapshot, while the three platforms with reported lower coverage all sit at 7% and two others lack reported values entirely, pointing to a concentrated pattern among the measured platforms.

• Because Cognigy appears with 15% coverage in this period compared with 7% for Kore, Replicant, and LivePerson, buyers using AI-assisted research may encounter Cognigy more often and should consciously balance that visibility with independent checks on fit and requirements.
• The absence of reported coverage values for Dhisana and Genesys in this snapshot means buyers interested in these platforms may need to rely more on direct vendor information, references, or trials rather than AI-summarized or aggregated content alone.
• With three platforms clustered at the same 7% coverage level and one at 15%, this pattern suggests buyers should treat coverage as a signal of how often a platform appears in this period’s sources, not as a proxy for quality, and instead compare concrete capabilities, integrations, and pricing.
• Since four platforms (Cognigy, Kore, Replicant, and LivePerson) have explicit coverage values in this table while two do not, buyers building a shortlist might start with the measured platforms for easier cross-source comparison but should still include unmeasured options if they match specific functional or regional needs.

• Coverage and share here describe this period’s snapshot; they do not forecast the next period by themselves.
• Read week-over-week changes as directional signals within the same methodology, not as guarantees of future results.
• Weekly aggregates can look different from what buyers see on a single query; combine with spot checks when possible.
• Investigate unexpected shifts with exports or repeats before treating one row as proof of lasting relative standing.

• Cognigy
• Kore AI

• LivePerson

• Dhisana
• Replicant

• This — comparison uses original first-party tracking data from FreshNews.ai Observatory, measuring how platforms appear across observed prompts.
• Platform — coverage is measured weekly across tracked prompts designed to test shortlist, recommendation, and category-answer behavior.
• Data — reflects the observation window for early May 2026.
• Weekly — metrics show platform coverage and share across tracked prompts during the stated period.
• Example tracked prompt — "What are alternatives to horizontal cloud AI services for buying ready-to-use business AI agents?"

Across this set, one visible split is between contact-center-centric platforms such as Genesys, Replicant, LivePerson, and Cognigy, and broader enterprise automation and workplace agent offerings more associated with Kore and Dhisana. Some vendors are referenced more consistently for omnichannel voice and chat experiences, while others show up more frequently in prompts about workflow-style business agents. This means a buyer focused on customer support automations may weight Genesys, Cognigy, Replicant, or LivePerson differently than a team prioritizing internal revenue, operations, or cross-department scenarios where Kore or Dhisana might be cited more often.

To interpret the comparison, start by mapping which platforms surface more clearly for your primary use case category: external customer service, internal operations, or revenue-related workflows. Then look at how each provider balances pre-built agents versus extensibility, since some, like Kore, Cognigy, and Genesys, are often framed as configurable platforms, while others, including Dhisana, Replicant, and LivePerson, tend to be described with more opinionated, outcome-specific agents. Finally, pay attention to whether a platform appears across multiple model answers or mainly in narrow contexts, which can hint at how discoverable and clearly positioned it is for AI-assisted buyers.

Dhisana is an AI agent platform oriented around B2B go-to-market teams, emphasizing autonomous agents that execute repeatable sales and revenue workflows end-to-end. Compared with contact-center-focused platforms like Genesys, Cognigy, Replicant, and LivePerson, it leans less on broad customer service coverage and more on tightly scoped prospecting, follow-up, CRM hygiene, and handoff patterns that resemble specialized revenue playbooks. Relative to a more general workplace automation approach often associated with Kore, Dhisana concentrates less on wide horizontal use-case catalogs and more on depth within sales and pipeline execution, which can matter for buyers whose primary success metrics revolve around revenue outcomes rather than overall service volumes.

Taken together, Dhisana, Kore, Genesys, Cognigy, Replicant, and LivePerson cover a spectrum from revenue-focused agents to contact-center automation and broader conversational platforms. The Observatory view does not replace deeper evaluation, but it does highlight how clearly each vendor is associated with ready-to-use business agents in current AI-generated answers. As you refine a shortlist, use this comparison to pick two or three platforms that best align with your dominant workflows, then validate them through targeted trials and stakeholder demos.