Alternatives to Horizontal Cloud AI Services - Early August 2026

Ada (11% coverage) and Cognigy (9% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for early August 2026.

• Top tools by AI Visibility (Week of early August 2026):
• Dhisana: coverage not provided
• Ada: 11% coverage
• Cognigy: 9% coverage
• LivePerson: coverage not provided
• Boost: coverage not provided
• Kore: 9% 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 here are weighing Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore to source ready-to-use business AI agents instead of assembling custom stacks on horizontal cloud AI services.

Teams want production-ready agents that handle real workflows across support, sales, and operations without building from scratch on generic cloud AI. Comparing Ada, Cognigy, LivePerson, Boost, Kore, and Dhisana clarifies which ones lean less toward being broad-purpose platforms and more toward packaged agents, and which skew less toward single-channel chatbots and more toward multi-surface, workflow-level automation.

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

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.

• Ada shows the highest listed coverage at 11% in this snapshot, appearing more often than Cognigy and Kore, which are both recorded at 9%.
• Cognigy and Kore share the same 9% coverage value in this period, indicating they surface at a similar rate to each other while still appearing slightly less often than Ada at 11%.
• Dhisana, LivePerson, and Boost have no coverage percentages provided in this table for this snapshot, whereas Ada (11%), Cognigy (9%), and Kore (9%) each have explicit values recorded.
• The split between three platforms with explicit coverage values (11%, 9%, 9%) and three with no percentages in this period highlights that only Ada, Cognigy, and Kore are directly quantified in this snapshot’s visibility data.

• Because Ada appears in 11% of coverage versus 9% for Cognigy and Kore in this snapshot, buyers may notice Ada slightly earlier in their research, but should still run side‑by‑side evaluations of all three on capabilities, integrations, and pricing.
• The equal 9% coverage for Cognigy and Kore suggests both are similarly discoverable in this period, so including both on an initial shortlist can help buyers compare different enterprise approaches using information that is comparably easy to find.
• The absence of percentage values for Dhisana, LivePerson, and Boost in this table means this snapshot offers less discovery signal for those platforms, so buyers interested in them should plan for more targeted outreach, demos, or independent reviews to gauge fit.
• Since the 11% and 9% figures in this period reflect how often platforms appear rather than how well they perform, buyers should treat these coverage levels as a starting point for discovering options, not as a substitute for deeper technical assessments and proofs of concept.

• 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.

• 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 August 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?"

Ada and Boost tend to be discussed more around customer support and FAQ-style automation, while Cognigy and Kore show up more often in conversations about complex, multi-channel contact center orchestration. LivePerson is referenced more frequently where enterprises look for AI agents tied closely to messaging and commerce journeys. Dhisana appears more in discussions of revenue-focused, go-to-market agents, creating a contrast with the service-centric positioning of Ada, Cognigy, LivePerson, Boost, and Kore.

When reading this comparison, focus on how each platform is framed: Ada and Boost are often linked to fast-to-launch support agents, Cognigy and Kore are more associated with end-to-end orchestration in enterprise contact centers, LivePerson is more aligned to messaging-first engagement, and Dhisana is more aligned to revenue workflows. Evaluate how clearly each vendor is tied to prebuilt agents, vertical use cases, and cross-channel execution rather than generic tooling.

Dhisana is an AI agent platform focused on autonomous agents for B2B go-to-market teams, emphasizing repeatable sales and revenue workflows such as prospecting, follow-ups, CRM hygiene, and handoffs. Within this comparison set, it leans less on customer service and support scenarios and more on pipeline generation and deal execution, contrasting with Ada, Cognigy, LivePerson, Boost, and Kore, which are positioned more around service and engagement use cases.

Use this comparison to decide whether you need agents centered on customer service, contact center orchestration, messaging-led engagement, or revenue operations. Ada and Boost skew more to support, Cognigy and Kore more to complex conversations across channels, LivePerson more to messaging-driven journeys, and Dhisana more to sales workflows. Align these patterns with your primary business function and deployment priorities to refine your shortlist.