Help Desk Software: AI Market Discovery Index
Tracking how AI platforms recommend help desk software. This public AI Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Decline: Jira Service Management
- 08Additional Significant Declines
- 09Category Leader: Freshdesk
- 10Recommendation Placement Snapshot
- 11Buyer-Intent Distribution
- 12Historical Measurement Record
Benchmark Summary
Freshdesk leads the Help Desk Software benchmark in September 2026 with a valid recommendation coverage rate of 46.0%, ahead of Zendesk Chat at 44.5% in September 2026, a gap of 1.5 points. The month's most notable moves were concentrated among significant decliners rather than risers. Zendesk Chat's coverage in September 2026 of 44.5% represents a significant decline from its 50.9% baseline in July 2026, though the brand returned to tracking after an August 2026 period in which it was not measured. Salesforce Service Cloud declined from 21.1% in July 2026 to 13.7% in September 2026, a significant drop of 7.4 points. Jira Service Management fell from 48.7% in July 2026 to 40.8% in September 2026, a significant decline of 7.9 points.
Across the full July-to-September series, category leadership has shifted narrowly. Zendesk Chat led the benchmark in July 2026 at 50.9% valid recommendation coverage; Freshdesk now leads in September 2026 at 46.0%. Freshdesk's own coverage moved within normal month-to-month variation across the two months since July 2026, from 50.7% to 46.0% by September 2026, as did Help Scout, Kayako, ServiceNow, SolarWinds Service Desk, and Zoho Inventory.
The benchmark began with 800 prompt-surface observations in each month and produced 524 qualified observations in September 2026 after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Sep 2026
- Freshdesk46.0%
- Zendesk Chat44.5%
- Jira Service Management40.8%
- Help Scout33.0%
- ServiceNow28.6%
- Salesforce Service Cloud13.7%
- SolarWinds Service Desk5.5%
- HappyFox1.7%
- Kayako0.9%
- Zoho Inventory0.4%
- Zendesk0.0%
- Zoho Desk0.0%
Current Benchmark at a Glance
Measure | Jul 2026 | Sep 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 511 | 524 | Up 13 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 25.0% | 24.8% | Down 0.2 points |
Valid recommendation shortlist share | 60.9% | 54.0% | Down 6.9 points |
Leader by valid recommendation coverage | Zendesk Chat | Freshdesk | Brand change |
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. The August 2026 period, which fell between the baseline and current months, carried 569 qualified observations with a recommendation-shaped answer share of 34.1% and a valid recommendation shortlist share of 56.4%.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Help Desk Software
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Research Scope and Qualification
The public benchmark is narrower than the raw collection universe by design.
Research stage | Jul 2026 | Sep 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 800 | Total prompts collected |
Unique questions | 499 | 529 | Distinct questions asked |
Brand / competitor mentions | 800 | 800 | Prompts mentioning a tracked brand |
Relevant observations | 699 | 711 | On-topic for the vertical |
Irrelevant observations | 101 | 89 | Off-topic for the vertical |
Qualified benchmark observations | 511 | 524 | Public denominator |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology
Current Brand Standings
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Freshdesk | 76.1% | 46.0% | 34.5% | 5.0% | 0.8 |
Zendesk Chat | 78.0% | 44.5% | 35.5% | 28.1% | 0.7 |
Jira Service Management | 73.7% | 40.8% | 16.6% | 1.1% | 0.7 |
Help Scout | 48.7% | 33.0% | 11.1% | 0.2% | 0.8 |
ServiceNow | 61.6% | 28.6% | 9.3% | 6.3% | 0.7 |
Salesforce Service Cloud | 31.1% | 13.7% | 4.2% | 0.6% | 0.6 |
SolarWinds Service Desk | 12.6% | 5.5% | 1.3% | 0.0% | 0.7 |
HappyFox | 3.4% | 1.7% | 0.9% | 0.4% | 0.7 |
Kayako | 1.5% | 0.9% | 0.2% | 0.0% | 0.8 |
Zoho Inventory | 0.8% | 0.4% | 0.0% | 0.0% | 0.8 |
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
Brand | Jul 2026 | Sep 2026 | Movement since baseline |
|---|---|---|---|
Freshdesk | 50.7% | 46.0% | Down 4.7 points |
HappyFox | 3.7% | 1.7% | Down 2.0 points |
Help Scout | 34.4% | 33.0% | Down 1.4 points |
Jira Service Management | 48.7% | 40.8% | Down 7.9 points |
Kayako | 1.0% | 0.9% | Down 0.1 points |
Salesforce Service Cloud | 21.1% | 13.7% | Down 7.4 points |
ServiceNow | 32.5% | 28.6% | Down 3.9 points |
SolarWinds Service Desk | 7.6% | 5.5% | Down 2.1 points |
Zendesk Chat | 50.9% | 44.5% | Down 6.4 points |
Zoho Inventory | 0.2% | 0.4% | Up 0.2 points |
The tracked brand set varies by month. Zendesk held a 51.1% coverage rate in August 2026 and Zoho Desk held 40.2% in August 2026, but neither brand carries a comparable figure in September 2026. Zendesk Chat and Zoho Inventory returned to the tracked set in September 2026 after August 2026 periods in which they were not measured.
Largest Decline: Jira Service Management
Jira Service Management declined from 48.7% valid recommendation coverage in July 2026 to 40.8% in September 2026, a significant drop of 7.9 points. The brand's top-three rate fell from 25.6% in July 2026 to 16.6% in September 2026, a decline of 9.0 points. Its presence rate held nearly steady at 73.7% in September 2026, down from 74.6% in July 2026.
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Additional Significant Declines
Salesforce Service Cloud declined in each of the two months since July 2026, moving from 21.1% valid recommendation coverage in July 2026 to 13.7% in September 2026, down 7.4 points, and also declining notably in the prior month from 19.2% in August 2026. Its rank-one rate dropped from 2.9% in July 2026 to 0.6% in September 2026.
HappyFox declined from 3.7% valid recommendation coverage in July 2026 to 1.7% in September 2026, down 2.0 points, a significant move given the brand's small baseline. Its presence rate also declined from 6.1% in July 2026 to 3.4% in September 2026.
Zendesk Chat declined from 50.9% valid recommendation coverage in July 2026 to 44.5% in September 2026, a significant drop of 6.4 points. Its top-three rate fell from 45.2% in July 2026 to 35.5% in September 2026, and its rank-one rate fell from 35.4% to 28.1% over the same period. This movement spans a measurement gap, as Zendesk Chat was not tracked in August 2026.
Category Leader: Freshdesk
Freshdesk is the category leader in September 2026 with a valid recommendation coverage rate of 46.0%, narrowly ahead of Zendesk Chat's 44.5%. The category lead has shifted since July 2026, when Zendesk Chat held the top position at 50.9% valid recommendation coverage. Freshdesk's presence rate of 76.1% in September 2026 is close to its July 2026 baseline of 75.1%, and its rank-one rate of 5.0% in September 2026 is effectively unchanged from 4.9% in July 2026. The brand declined in each of the two months since July 2026, moving from 50.7% to 46.0%, a change within normal month-to-month variation.
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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.
Brand | Sep 2026 top-three rate | Sep 2026 rank-one rate | Jul 2026 top-three rate | Jul 2026 rank-one rate |
|---|---|---|---|---|
Freshdesk | 34.5% | 5.0% | 42.9% | 4.9% |
Zendesk Chat | 35.5% | 28.1% | 45.2% | 35.4% |
Jira Service Management | 16.6% | 1.1% | 25.6% | 2.7% |
Similar coverage levels can hide very different first-position rates. Freshdesk and Zendesk Chat hold valid recommendation coverage of 46.0% and 44.5% respectively in September 2026, yet Zendesk Chat's rank-one rate of 28.1% is substantially higher than Freshdesk's 5.0%.
Buyer-Intent Distribution
All qualified observations fell into the Brand Recommendation class in both months.
Buyer-intent class | Jul 2026 | Sep 2026 |
|---|---|---|
Brand Recommendation | 511 | 524 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 511 | 524 |
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
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
Jul 2026 | 511 | Zendesk Chat | 50.9% | Baseline month (no prior period) |
Aug 2026 | 569 | Zendesk | 51.1% | Zendesk up 51.1 points |
Sep 2026 | 524 | Freshdesk | 46.0% | Zendesk Chat up 44.5 points |
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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