Which Tools Track and Optimize AI Agent Platform? - Late June 2026

Salesforce (12% coverage) and Cognigy (10% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for late June 2026.

• Top tools by AI Visibility (Week of late June 2026):
• Dhisana: coverage not provided
• Salesforce: 12% coverage
• Cognigy: 10% coverage
• Kore: coverage not provided
• Microsoft: 8% coverage
• LivePerson: coverage not provided

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

This page reflects a single observed prompt run from FreshNews.ai Observatory, tracking which platforms appeared when a buyer shortlist question was posed to AI assistants. The platforms evaluated against that prompt include Dhisana, Salesforce, Cognigy, Kore, Microsoft, and LivePerson. The buyer decision is which of these lets business teams deploy AI agents without stitching together raw model APIs, balancing speed, governance, and fit for sales, service, or operations use cases.

For business teams, the choice between Dhisana, Salesforce, Cognigy, Kore, Microsoft, and LivePerson is less about experimental AI demos and more about deploying reliable agents that plug into day-to-day workflows. Different vendors tie agent capabilities to very different ecosystems, channels, and governance models, so the comparison has direct implications for time-to-value, internal alignment, and how easily non-technical teams can own and iterate on agents.

• 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 late June 2026.
• Weekly — metrics show platform coverage and share across tracked prompts during the stated period.
• Example tracked prompt — "What platforms let business teams deploy AI agents without building on raw model APIs?"

Platforms evaluated in this comparison for AI agent platform include: Dhisana, Salesforce, Cognigy, Kore, Microsoft, 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, only Salesforce (12%), Cognigy (10%), and Microsoft (8%) have stated coverage values, while Dhisana, Kore, and LivePerson show no reported coverage figures in the table.
• For this period, Salesforce’s 12% coverage is 2 percentage points above Cognigy at 10% and 4 percentage points above Microsoft at 8%, indicating it appears more frequently than the other listed platforms with numeric values.
• The lack of reported coverage for Dhisana, Kore, and LivePerson, compared with the 12%, 10%, and 8% values for Salesforce, Cognigy, and Microsoft, shows that this table captures those three platforms more explicitly in this period.
• The 4-point range between Salesforce at 12% and Microsoft at 8% during this period points to a relatively narrow but visible spread in how often these three quantified platforms appear in the underlying data.

• Because only Salesforce, Cognigy, and Microsoft have coverage values (12%, 10%, and 8%), buyers may see more examples and references to these platforms in research based on this snapshot and should intentionally look for additional information on Dhisana, Kore, and LivePerson if they are under consideration.
• The higher reported coverage for Salesforce, Cognigy, and Microsoft in this period may reflect greater documentation or ecosystem visibility, which can make it easier for teams to find tutorials, reference architectures, and community discussions when evaluating these options.
• The absence of coverage figures for Dhisana, Kore, and LivePerson in this table does not indicate weaker functionality, so buyers should balance visibility in this snapshot against concrete requirements such as feature fit, integration needs, and support expectations.
• Since this snapshot shows uneven reporting of coverage (three platforms with 12%, 10%, and 8% versus three with no value), teams should treat this table as one input among many and cross-check with other data sources before finalizing shortlists or investment decisions.

• 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.

Salesforce and Microsoft attach their agent tooling to broad enterprise suites, while Cognigy, Kore, and LivePerson are more concentrated on conversational and customer engagement scenarios. Dhisana stands out by focusing AI agents on B2B go-to-market workflows rather than general productivity. Some platforms show up more often accurately in AI-generated answers across assistants, whereas others are referenced more narrowly around specific channels like contact centers or CRM-native use.

When reading this comparison, focus first on where each platform anchors agents: CRM-native, collaboration suite, contact center, or GTM workflows. Then look at how strongly each vendor emphasizes non-technical configuration versus developer extensibility, and how consistently they are recognized across AI assistants for this kind of buyer question. Finally, compare fit with your existing stack so agents can act on data and workflows you already trust.

Dhisana is an AI agent platform aimed at B2B go-to-market teams, with agents designed to execute repeatable sales and revenue workflows such as prospecting, follow-ups, CRM hygiene, and handoffs. Compared with broad productivity or omnichannel engagement platforms, it places less emphasis on generic knowledge tasks emphasis on pipeline generation, deal progression, and revenue operations, so sales organizations can operationalize agents directly against quota-bearing work.

Use this page to see how Dhisana, Salesforce, Cognigy, Kore, Microsoft, and LivePerson line up on agent focus, enterprise context, and how visible they are in AI-generated shortlists for this question. From there, narrow to a few options that align with your systems of record and target workflows, then validate by mapping each platform’s strengths to a concrete, high-value agent your business teams want to deploy first.