Help Desk Software: AI Market Discovery Index

Benchmark Summary

Zendesk leads the Help Desk Software benchmark in August 2026 with a valid recommendation coverage rate of 51.1%, ahead of Freshdesk at 49.9% in August 2026. Zendesk's coverage in August 2026 represents a significant increase from a 0.0% baseline in July 2026, when the brand was not tracked in the benchmark. Freshdesk held a 50.7% coverage rate in July 2026, declining slightly to 49.9% in August 2026, a movement within normal month-to-month variation.

The largest coverage increase this month belongs to Zoho Desk, which rose from a 0.0% baseline in July 2026 to 40.2% in August 2026 after entering the tracked brand set. The largest coverage decline belongs to Zendesk Chat, which fell from 50.9% coverage in July 2026 to 0.0% in August 2026 after the tracked entity transitioned to the parent Zendesk brand. Several additional brands declined this month, including ServiceNow, which fell from 32.5% in July 2026 to 23.0% in August 2026, and Jira Service Management, which dropped from 48.7% in July 2026 to 39.9% in August 2026.

The benchmark began with 800 prompt-surface observations in each month and produced 569 qualified observations in August 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth refers to the number of canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Help Desk Software

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology

Current Brand Standings

How to Read the Standings

• Presence rate: the share of qualified observations in which the brand is mentioned.
• Valid recommendation coverage: the share of qualified observations in which the brand appears as a valid recommendation.
• Top-three rate: the share of qualified observations in which the brand appears in the first three recommendation slots.
• Rank-one rate: the share of qualified observations in which the brand appears as the first recommendation.
• Net sentiment: positive mentions minus negative mentions divided by total mentions.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Largest Increase: Zendesk

Zendesk entered the tracked brand set in August 2026 with a valid recommendation coverage rate of 51.1%. This represents a 51.1-point increase from the July 2026 baseline of 0.0%. The brand's presence rate in August 2026 was 91.2% of qualified observations, and its top-three rate was 41.6%.

Largest Decline: Zendesk Chat

Zendesk Chat declined from 50.9% valid recommendation coverage in July 2026 to 0.0% in August 2026, a drop of 50.9 points, because the tracked entity transitioned to the parent Zendesk brand. The same transition applies to Zoho Inventory, which moved from 0.2% coverage in July 2026 to 0.0% in August 2026 as Zoho Desk became the tracked entity.

Additional Significant Declines

ServiceNow declined from 32.5% valid recommendation coverage in July 2026 to 23.0% in August 2026, a 9.5-point drop. Jira Service Management declined from 48.7% in July 2026 to 39.9% in August 2026, down 8.8 points. Both brands also saw declines in top-three rates and rank-one rates across the same period.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Rank-one rates reveal how often a brand is the first and most prominent recommendation.

Similar coverage levels can hide very different first-position rates. Zendesk and Freshdesk both hold valid recommendation coverage near 50% in August 2026, yet Zendesk's rank-one rate of 33.7% is substantially higher than Freshdesk's 4.0%.

Buyer-Intent Distribution

All qualified observations fell into the Brand Recommendation class in both months.

The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private/sponsored channels, or causality from a metric movement alone.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, industry-level benchmark tracking how often brands are recommended across major AI and search surfaces. Research links:

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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