Human Resources Software: AI Market Discovery Index

Tracking how AI platforms recommend human resources software. This public AI Market Discovery Index is updated monthly since July 2026.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
5 minutes read

Benchmark Summary

Rippling PEO led valid recommendation coverage in September 2026 at 49.7%, holding a 1.2 percentage point lead over Gusto at 48.5%. UKG was the only tracked brand to post a coverage increase across the period, rising from 25.1% in July 2026 to 27.1% in September 2026, a gain of 2.0 percentage points that stayed within normal month-to-month range. Four brands registered significant coverage declines from July to September: ADP TotalSource, BambooHR, Gusto, and Rippling PEO. The largest baseline-to-current decline belongs to Gusto, which fell from 57.1% in July 2026 to 48.5% in September 2026, a drop of 8.6 percentage points. ADP TotalSource recorded the largest single-month decline, moving from 25.1% in August 2026 to 18.2% in September 2026, down 6.9 percentage points.

The benchmark began with 800 prompt-surface observations in each month and produced 565 qualified observations in September 2026 after qualification.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026
  • Rippling PEO49.7%
  • Gusto48.5%
  • BambooHR47.8%
  • Workday Recruiting34.7%
  • UKG27.1%
  • ADP TotalSource18.2%
  • Paycom9.6%
  • Paychex PEO7.3%
  • Namely2.3%
  • SAP Ariba0.9%

Current Benchmark at a Glance

Measure

Jul 2026

Sep 2026

Movement

Qualified benchmark observations

566

565

Down 1

Tracked brands

10

10

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

30.0%

27.3%

Down 2.7 points

Valid recommendation shortlist share

63.3%

53.8%

Down 9.5 points

Leader by valid recommendation coverage

Gusto

Rippling PEO

Changed

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six families produced qualified observations in both the baseline and current period.

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

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

Raw prompt-surface observations collected

Unique questions

506

541

Distinct questions after deduplication

Brand / competitor mentions

800

800

Prompts mentioning a tracked brand or competitor

Relevant observations

743

732

Observations relevant to the vertical

Irrelevant observations

57

68

Observations outside the vertical scope

Qualified benchmark observations

566

565

Public denominator after all qualification

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

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Current Brand Standings

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

Rippling PEO

82.3%

49.7%

32.6%

9.9%

0.8

Gusto

85.1%

48.5%

32.0%

9.4%

0.8

BambooHR

82.0%

47.8%

32.7%

16.1%

0.8

Workday Recruiting

66.0%

34.7%

6.7%

3.7%

0.7

UKG

56.6%

27.1%

4.4%

0.7%

0.7

ADP TotalSource

40.9%

18.2%

5.3%

2.5%

0.6

Paycom

26.6%

9.6%

2.6%

0.2%

0.6

Paychex PEO

22.7%

7.3%

2.6%

0.0%

0.6

Namely

4.6%

2.3%

0.9%

0.0%

0.6

SAP Ariba

2.6%

0.9%

0.0%

0.0%

0.3

How to Read the Standings

  • Presence rate: share of qualified observations where the brand is mentioned at all.
  • Valid recommendation coverage: share of qualified observations where the brand appears in a valid recommendation shortlist.
  • Top-three rate: share of qualified observations where the brand appears among the first three recommended options.
  • Rank-one rate: share of qualified observations where the brand is the first recommended option.
  • 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

ADP TotalSource

25.8%

18.2%

Down 7.6 points

BambooHR

56.0%

47.8%

Down 8.2 points

Gusto

57.1%

48.5%

Down 8.6 points

Namely

2.8%

2.3%

Down 0.5 points

Paychex PEO

10.4%

7.3%

Down 3.1 points

Paycom

12.5%

9.6%

Down 2.9 points

Rippling PEO

55.8%

49.7%

Down 6.1 points

SAP Ariba

0.9%

0.9%

No change

UKG

25.1%

27.1%

Up 2.0 points

Workday Recruiting

35.7%

34.7%

Down 1.0 points

September 2026 was a month of significant movement. Four brands moved beyond normal month-to-month variation, and all moved downward: ADP TotalSource, BambooHR, Gusto, and Rippling PEO. UKG posted the only coverage increase, rising from 25.1% in July 2026 to 27.1% in September 2026, though this move stayed within normal range. Paychex PEO registered a notable prior-to-current decline, falling from 12.8% in August 2026 to 7.3% in September 2026, down 5.5 percentage points.

Largest Increase: UKG

UKG was the only tracked brand to record a coverage increase across the full series, moving from 25.1% in July 2026 to 27.1% in September 2026, up 2.0 percentage points. Presence also rose, from 42.4% to 56.6%, while top-three and rank-one rates held steady.

Largest Decline: Gusto

Gusto's valid recommendation coverage fell from 57.1% in July 2026 to 48.5% in September 2026, a decline of 8.6 percentage points. The top-three rate moved from 46.5% to 32.0%, down 14.5 points, and the rank-one rate fell from 14.8% to 9.4%. Presence remained high at 85.1% in September 2026, near its July 2026 level of 86.6%.

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Category Leader: Rippling PEO

Rippling PEO held the highest valid recommendation coverage in September 2026 at 49.7%, moving into the lead position after trailing both Gusto and BambooHR earlier in the series. Its coverage declined from 55.8% in July 2026, a drop of 6.1 points, but the brand moved ahead as higher-ranked brands declined faster. The gap to the next-ranked brand, Gusto, was 1.2 points in September 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, placement patterns differ.

Brand

Sep 2026 top-three rate

Sep 2026 rank-one rate

Jul 2026 top-three rate

Jul 2026 rank-one rate

Rippling PEO

32.6%

9.9%

40.5%

12.5%

BambooHR

32.7%

16.1%

45.6%

19.6%

Gusto

32.0%

9.4%

46.5%

14.8%

BambooHR and Rippling PEO show near-identical top-three rates in September 2026, yet BambooHR leads clearly on rank-one placement at 16.1%. Gusto trails both on top-three and rank-one. Closely matched coverage can still hide different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the brand recommendation class.

Buyer-intent class

Jul 2026

Sep 2026

Brand Recommendation

566

565

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

566

565

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

New measurements are added to the same report.

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Jul 2026

566

Gusto

57.1%

Gusto up 0.0 points (baseline)

Aug 2026

510

Gusto

53.5%

Rippling PEO down 4.2 points

Sep 2026

565

Rippling PEO

49.7%

Gusto down 8.6 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 or sponsored channels, or causality from a metric movement alone.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how AI and search surfaces recommend brands across verticals, using a neutral, prompt-level methodology. Research links:

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