Human Resources Software for Small Businesses: AI Visibility Market Discovery Index
Tracking how AI platforms recommend human resources software for small businesses. 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 Increase: Rippling PEO
- 08Largest Increase: Gusto
- 09Largest Increase: BambooHR
- 10Largest Increase: Deel
- 11Largest Decline: ADP TotalSource
- 12Largest Decline: Zoho Inventory
Benchmark Summary
Questions This Section Answers
- Which brands led AI recommendation coverage in October 2026, and how close was the gap?
- Which brands saw the largest coverage gains and declines beyond normal variation?
Rippling PEO led valid recommendation coverage in October 2026 at 63.8%, up from 54.8% in July 2026, with Gusto at 60.0% in October 2026, up from 51.1% in July 2026, a gap of 3.8 points. The largest coverage increase over the baseline-to-current series was Rippling PEO, which rose to 63.8% in October 2026 from 54.8% in July 2026, a move up 9.0 points beyond normal variation. The largest coverage decline belonged to ADP TotalSource, which fell to 25.2% in October 2026 from 40.4% in July 2026, a move down 15.2 points beyond normal variation. Over the full baseline-to-current series, Justworks fell to 24.4% in October 2026 from 29.5% in July 2026, and Paychex PEO declined to 17.4% from 22.8%, each beyond normal variation, while Zoho Inventory fell to 0.0% in October 2026 from 3.9% in July 2026, beyond normal variation. The benchmark began with 800 prompt-surface observations in each month and produced 603 qualified observations for October 2026 after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Oct 2026
- Rippling PEO63.8%
- Gusto60.0%
- Deel56.9%
- BambooHR44.1%
- ADP TotalSource25.2%
- Justworks24.4%
- TriNet18.9%
- Paychex PEO17.4%
- Namely0.7%
- Zoho Inventory0.0%
Current Benchmark at a Glance
Measure | Jul 2026 | Oct 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 611 | 603 | Down 8 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 41.1% | 57.9% | Up 16.8 points |
Valid recommendation shortlist share | 64.8% | 76.1% | Up 11.3 points |
Leader by valid recommendation coverage | Rippling PEO | Rippling PEO | No change |
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. August 2026 and September 2026 sat between the baseline and current months, with 610 and 613 qualified observations respectively.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Human Resources Software for Small Businesses
Research Scope and Qualification
Questions This Section Answers
- How many raw prompt-surface observations became qualified benchmark observations?
- What distinguishes the public benchmark denominator from the raw collection universe?
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The public benchmark is narrower than the raw collection universe by design.
Research stage | Jul 2026 | Oct 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 800 | Raw prompt-surface collection |
Unique questions | 500 | 531 | Distinct questions asked |
Brand / competitor mentions | 800 | 800 | Prompts naming a brand or competitor |
Relevant observations | 759 | 756 | On-topic observations |
Irrelevant observations | 41 | 44 | Off-topic observations |
Qualified benchmark observations | 611 | 603 | Public denominator |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. Link AI Visibility Market Discovery Methodology.
Current Brand Standings
Questions This Section Answers
- Which brands appear most often in valid AI recommendation shortlists?
- How do presence, coverage, top-three, and rank-one rates differ across the tracked PEO and HR brands?
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Rippling PEO | 81.8% | 63.8% | 45.8% | 15.8% | 0.8 |
Gusto | 80.9% | 60.0% | 47.4% | 24.5% | 0.8 |
Deel | 69.7% | 56.9% | 10.1% | 0.3% | 0.9 |
BambooHR | 60.0% | 44.1% | 35.8% | 11.3% | 0.8 |
ADP TotalSource | 35.3% | 25.2% | 15.6% | 6.5% | 0.8 |
Justworks | 34.8% | 24.4% | 12.9% | 6.3% | 0.7 |
TriNet | 26.7% | 18.9% | 10.0% | 1.0% | 0.7 |
Paychex PEO | 25.7% | 17.4% | 4.0% | 0.2% | 0.7 |
Namely | 2.6% | 0.7% | 0.2% | 0.0% | 0.4 |
Zoho Inventory | 0.0% | 0.0% | 0.0% | 0.0% | 0.0 |
How to Read the Standings
Presence rate is the share of qualified observations where the brand is mentioned in an answer. Valid recommendation coverage is the share of qualified observations where the brand appears in a valid recommendation shortlist. Top-three rate is the share of qualified observations where the brand appears among the top three recommended options. Rank-one rate is the share where the brand is the first recommendation. Net sentiment describes benchmark framing of mentions, not customer sentiment, and is the share of positive minus negative mentions among all mentions.
For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.
Recommendation Coverage Movement
Questions This Section Answers
- Which HR software brands gained or lost the most valid recommendation coverage since July 2026?
- What supporting placement metrics moved alongside ADP TotalSource's coverage decline?
Brand | Jul 2026 | Oct 2026 | Movement since baseline |
|---|---|---|---|
ADP TotalSource | 40.4% | 25.2% | Down 15.2 points |
BambooHR | 35.2% | 44.1% | Up 8.9 points |
Deel | 48.6% | 56.9% | Up 8.3 points |
Gusto | 51.1% | 60.0% | Up 8.9 points |
Justworks | 29.5% | 24.4% | Down 5.1 points |
Namely | 1.6% | 0.7% | Down 0.9 points |
Paychex PEO | 22.8% | 17.4% | Down 5.4 points |
Rippling PEO | 54.8% | 63.8% | Up 9.0 points |
TriNet | 23.4% | 18.9% | Down 4.5 points |
Zoho Inventory | 3.9% | 0.0% | Down 3.9 points |
From the immediately prior month, Deel rose to 56.9% in October 2026 from 50.1% in September 2026, and Gusto rose to 60.0% from 52.5%, each beyond normal month-to-month variation, while Rippling PEO rose to 63.8% from 57.1%, also beyond normal variation. ADP TotalSource fell to 25.2% in October 2026 from 30.3% in September 2026, beyond normal variation, and Zoho Inventory fell to 0.0% from 1.6%, beyond normal variation.
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Largest Increase: Rippling PEO
Rippling PEO rose to 63.8% valid recommendation coverage in October 2026 from 54.8% in July 2026, an increase of 9.0 points beyond normal variation, and increased in each of the two months since August 2026. Supporting metrics moved in the same direction: top-three placement rose to 45.8% in October 2026 from 35.8% in July 2026, an increase of 10.0 points, and rank-one placement rose to 15.8% from 9.8%, an increase of 6.0 points. Presence rate also rose, to 81.8% from 71.9%.
Largest Increase: Gusto
Gusto rose to 60.0% valid recommendation coverage in October 2026 from 51.1% in July 2026, an increase of 8.9 points beyond normal variation, and increased in each of the three months since July 2026. Top-three placement rose to 47.4% in October 2026 from 38.5% in July 2026, an increase of 8.9 points. Presence rate also rose, to 80.9% from 77.2%.
Largest Increase: BambooHR
BambooHR rose to 44.1% valid recommendation coverage in October 2026 from 35.2% in July 2026, an increase of 8.9 points beyond normal variation, and increased in each of the three months since July 2026. Top-three placement rose to 35.8% in October 2026 from 28.1% in July 2026, an increase of 7.7 points. Presence rate also rose, to 60.0% from 54.5%.
Largest Increase: Deel
Deel rose to 56.9% valid recommendation coverage in October 2026 from 48.6% in July 2026, an increase of 8.3 points beyond normal variation, driven by the single month from September 2026 to October 2026. Presence rate also rose, to 69.7% from 58.1%, while top-three placement held roughly flat at 10.1%.
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Largest Decline: ADP TotalSource
ADP TotalSource declined in each of the three months since July 2026, falling to 25.2% valid recommendation coverage in October 2026 from 40.4% in July 2026, a decline of 15.2 points beyond normal variation. Supporting metrics moved in the same direction: presence rate fell to 35.3% in October 2026 from 58.3% in July 2026, a decline of 23.0 points, top-three placement fell to 15.6% from 24.9%, a decline of 9.3 points, and rank-one placement fell to 6.5% from 13.6%, a decline of 7.1 points.
Largest Decline: Zoho Inventory
Zoho Inventory fell to 0.0% valid recommendation coverage in October 2026 from 3.9% in July 2026, a decline of 3.9 points beyond normal variation, with no recommendations recorded in October 2026. Presence rate fell to 0.0% from 5.1%.
Largest Decline: Paychex PEO
Paychex PEO fell to 17.4% valid recommendation coverage in October 2026 from 22.8% in July 2026, a decline of 5.4 points beyond normal variation. Top-three placement fell to 4.0% in October 2026 from 9.2% in July 2026, a decline of 5.2 points, and presence rate fell to 25.7% from 32.7%.
Largest Decline: Justworks
Justworks fell to 24.4% valid recommendation coverage in October 2026 from 29.5% in July 2026, a decline of 5.1 points beyond normal variation, following a 7.2-point drop in August 2026. Presence rate also declined, to 34.8% from 40.6%.
Category Leader: Rippling PEO
Rippling PEO led the category in October 2026 at 63.8% valid recommendation coverage, up from 54.8% in July 2026, an increase of 9.0 points beyond normal variation. With Gusto at 60.0%, the top-two gap was about the same, at 3.8 points in October 2026 versus 3.7 points in July 2026.
Recommendation Placement Snapshot
Questions This Section Answers
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- Which brand is most often recommended first, even when coverage is close?
- How did top-three and rank-one placement change for Rippling PEO, Gusto, and BambooHR?
Coverage alone does not show how prominently a brand is recommended. In October 2026, Rippling PEO led coverage at 63.8%, while Gusto placed first in 24.5% of qualified observations versus 15.8% for Rippling PEO.
Brand | Oct 2026 top-three rate | Oct 2026 rank-one rate | Jul 2026 top-three rate | Jul 2026 rank-one rate |
|---|---|---|---|---|
Rippling PEO | 45.8% | 15.8% | 35.8% | 9.8% |
Gusto | 47.4% | 24.5% | 38.5% | 20.0% |
BambooHR | 35.8% | 11.3% | 28.1% | 9.3% |
Close coverage can still hide different first-position rates. Gusto led first-position placement in both months, while Rippling PEO raised its rank-one rate to 15.8% in October 2026 from 9.8% in July 2026, and BambooHR moved up to 11.3% from 9.3%.
Buyer-Intent Distribution
Questions This Section Answers
- Which buyer-intent classes contain qualified observations in the current series?
- What does the absence of pricing and multi-brand comparison observations mean for the benchmark?
All qualified observations in July 2026 and October 2026 fell into the Brand Recommendation class, which measures AI responses that recommend one or more named brands.
Buyer-intent class | Jul 2026 | Oct 2026 |
|---|---|---|
Brand Recommendation | 611 | 603 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 611 | 603 |
The current public series measures Brand Recommendation discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.
Historical Measurement Record
Questions This Section Answers
- Who has led qualified recommendation coverage across each measurement period?
- Which brand has shown the largest coverage movement throughout the series?
This is an evergreen benchmark URL. New measurements are added to the same report.
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
Jul 2026 | 611 | Rippling PEO | 54.8% | N/A (baseline) |
Aug 2026 | 610 | Rippling PEO | 52.3% | ADP TotalSource, Down 7.8 points |
Sep 2026 | 613 | Rippling PEO | 57.1% | ADP TotalSource, Down 10.1 points since baseline |
Oct 2026 | 603 | Rippling PEO | 63.8% | ADP TotalSource, Down 15.2 points since baseline |
Evidence and Source Layer
Questions This Section Answers
- What evidence is retained for each prompt-level observation?
- How should source presence be interpreted relative to recommendation outcomes?
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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. It records the change; it does not, by itself, establish why the change occurred.
Top 10 Cited Domains
Questions This Section Answers
- Which domains were cited most often across AI platform responses?
- How concentrated are citations across the observed domains, and which brand-owned domains appear?
Across all AI platform responses in this measurement period, 6,263 citations were observed linking to 1,131 unique domains.
Rank | Domain | Citations | Share | Platforms citing |
|---|---|---|---|---|
1 | youtube.com | 351 | 5.6% | gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
2 | forbes.com | 316 | 5.0% | chatgpt, copilot, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
3 | peoplemanagingpeople.com | 263 | 4.2% | chatgpt, copilot, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
4 | google.com | 248 | 4.0% | google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords |
5 | rippling.com | 184 | 2.9% | chatgpt, copilot, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
6 | reddit.com | 117 | 1.9% | chatgpt, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
7 | g2.com | 103 | 1.6% | chatgpt, copilot, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
8 | technologyadvice.com | 103 | 1.6% | chatgpt, copilot, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
9 | adp.com | 97 | 1.5% | chatgpt, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
10 | business.com | 96 | 1.5% | chatgpt, copilot, gemini, google_ai_mode, google_ai_mode_keywords, google_ai_overviews, google_ai_overviews_keywords, perplexity |
Citations are broadly distributed rather than concentrated, with the top ten domains accounting for roughly 27% of the 6,263 total citations across 1,131 unique domains. Two tracked brands' own domains appear in the top ten: rippling.com at rank five and adp.com at rank nine. The mix skews toward a blend of publishing and review sources, including general news and business outlets such as forbes.com and business.com, HR trade publishers such as peoplemanagingpeople.com, review platforms such as g2.com and technologyadvice.com, and user-generated sources such as youtube.com and reddit.com.
About This Benchmark
The LLM Authority Index AI Visibility Market Discovery Index is a neutral, repeatable industry benchmark that tracks how leading AI and search surfaces discuss and recommend brands. It is built from prompt-level observations across six canonical surface families: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
- AI Visibility Market Discovery Methodology
- AI Visibility Market Discovery Metric Definitions
- AI Visibility Market Discovery Research Standards
- Modeled AI Visibility Authority Value
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