CiteWorks Studio

How AI Search Is Recommending Payroll Software: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Gusto remained the leader at 70.9% recommendation coverage in August 2026, despite a 5.0-point decline from July.
  • Most of the biggest month-over-month shifts came from changes in tracked brand definitions, not clear competitive losses or gains.
  • Patriot Software was the strongest consistently tracked mover, rising 8.9 points to 48.2% coverage with better top-three and rank-one placement.
  • QuickBooks Payroll and OnPay stayed relatively stable, while new tracked entities such as ADP TotalSource and Square entered with meaningful coverage.

Executive Summary

The payroll software category underwent a significant measurement shift in August 2026, driven by a change in how the benchmark's tracked brands are defined. Five previously tracked brands (ADP, Paychex, Rippling, Square Online) were replaced or repositioned as PEO-focused entities (ADP TotalSource, Paychex PEO, Rippling PEO) or under a broader name (Square), while Gusto, QuickBooks Payroll, and OnPay remained the consistent leaders across both months. The result is a mixed month where apparent declines for legacy brand names are matched by strong gains for their PEO counterparts. Gusto remains the category leader with 70.9% valid recommendation coverage in August 2026, down 5.0 points from 75.9% in July 2026, but still holding a 6.9-point lead over the next closest tracked brand.

The strongest upward mover was ADP TotalSource, which entered the benchmark with 48.8% valid recommendation coverage in August 2026, a significant rise from zero baseline coverage in July 2026. Patriot Software also posted a significant gain, rising 8.9 points from 39.3% to 48.2% coverage with its top-three recommendation rate climbing 11.0 points. Square, tracked under a new brand name, entered at 43.4% coverage, while Paychex PEO (20.7%) and Rippling PEO (31.2%) both appeared for the first time. The sharpest apparent decline was ADP, which fell 70.7 points from 70.7% to 0.0%, reflecting the brand's replacement by ADP TotalSource rather than a loss of AI recommendation credit.

This month's movements are best understood as a category-level repositioning: the benchmark's tracked entity definitions shifted, producing a wave of significant risers and decliners that reflect measurement scope changes more than underlying performance. Brands that remained consistently tracked (Gusto, QuickBooks Payroll, OnPay, Justworks, Paycom) showed mostly stable coverage, with only Gusto's decline standing out as significant. The analysis below separates these instrument-driven shifts from genuine competitive movement.

Each monthly run begins with 800 prompt-surface observations (437 unique questions in July 2026; 479 in August 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor in both months; 794 were relevant and 6 were irrelevant in July 2026, while 798 were relevant and 2 were irrelevant in August 2026. The public metrics use the 639 observations in July 2026 and 680 observations in August 2026 that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Aug 2026

  • Gusto-5.0% · beyond normal variation
    Jul 202675.9%
    Aug 202670.9%
  • QuickBooks Payroll-3.0%
    Jul 202667.0%
    Aug 202664.0%
  • OnPay-2.4%
    Jul 202655.6%
    Aug 202653.2%
  • ADP TotalSource+48.8% · beyond normal variation
    Jul 20260.0%
    Aug 202648.8%
  • Patriot Software+8.9% · beyond normal variation
    Jul 202639.3%
    Aug 202648.2%
  • Square+43.4% · beyond normal variation
    Jul 20260.0%
    Aug 202643.4%
  • Rippling PEO+31.2% · beyond normal variation
    Jul 20260.0%
    Aug 202631.2%
  • Paychex PEO+20.7% · beyond normal variation
    Jul 20260.0%
    Aug 202620.7%
  • Justworks-2.0%
    Jul 20268.8%
    Aug 20266.8%
  • Paycom-2.3%
    Jul 20267.2%
    Aug 20264.9%
  • ADP-70.7% · beyond normal variation
    Jul 202670.7%
    Aug 20260.0%
  • Paychex-38.0% · beyond normal variation
    Jul 202638.0%
    Aug 20260.0%
  • Rippling-56.6% · beyond normal variation
    Jul 202656.6%
    Aug 20260.0%
  • Square Online-27.1% · beyond normal variation
    Jul 202627.1%
    Aug 20260.0%

Key Findings

Signal

August 2026 finding

Category leader

Gusto at 70.9% valid recommendation coverage (482 of 680 qualified observations), down 5.0 points from July 2026

Largest riser

ADP TotalSource at 48.8% coverage (332 observations), entering the benchmark with significant upward movement

Second-largest riser

Square at 43.4% coverage (295 observations), also a new tracked entity this month

Largest apparent decliner

ADP from 70.7% to 0.0%, reflecting the brand's replacement by ADP TotalSource

Most improved consistent brand

Patriot Software, up 8.9 points to 48.2% coverage with rank-one recommendations rising 3.8 points

Stable core

QuickBooks Payroll (64.0%), OnPay (53.2%), Justworks (6.8%), and Paycom (4.9%) showed no significant movement

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Research stage

Jul 2026

Aug 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompt-surface observations gathered across the benchmark's defined AI/search surface universe

Unique questions

437

479

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts mentioning at least one tracked brand or competitor

Relevant prompts

794

798

Prompts deemed on-topic for the category

Irrelevant prompts

6

2

Prompts filtered out as off-topic

Qualified benchmark observations

639

680

Observations surviving both qualification stages; the public denominator

Qualified surface breadth

6

6

Canonical AI surface families with at least one qualified observation (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

The table below summarizes headline benchmark-level metrics for both months.

Benchmark-Level Metrics

Metric

Jul 2026

Aug 2026

Change

Qualified observations

639

680

+41

Companies tracked

10

10

0

Recommendation-shaped answer share

48.7%

32.8%

Down 15.9 points

Valid recommendation shortlist share

74.3%

69.3%

Down 5.1 points

Category leader by coverage

Gusto

Gusto

Stable

The composition of the tracked brand set shifted between months, with ADP, Paychex, Rippling, and Square Online being replaced or renamed as ADP TotalSource, Paychex PEO, Rippling PEO, and Square. This instrument change affects comparability of the aggregate category metrics, though the surface breadth remained stable at six canonical AI surface families in both months.

AI Recommendation Trend

Category Leadership Holds While the Tracked Brand Set Shifts

Gusto remains the category leader in August 2026 with 70.9% valid recommendation coverage, though its 5.0-point decline from 75.9% in July 2026 is significant and bears watching. The broader story is the repositioning of the brand set: five legacy names exited or were renamed, and five PEO-oriented or rebranded entities entered with meaningful coverage levels, reshaping the middle of the competitive landscape.

Brand

Jul 2026

Aug 2026

Movement

Aug 2026 rank

Gusto

75.9%

70.9%

Down 5.0 points

1st

QuickBooks Payroll

67.0%

64.0%

Down 3.0 points

2nd

OnPay

55.6%

53.2%

Down 2.4 points

3rd

ADP TotalSource

0.0%

48.8%

Up 48.8 points

4th

Patriot Software

39.3%

48.2%

Up 8.9 points

5th

Square

0.0%

43.4%

Up 43.4 points

6th

Rippling PEO

0.0%

31.2%

Up 31.2 points

7th

Paychex PEO

0.0%

20.7%

Up 20.7 points

8th

Justworks

8.8%

6.8%

Down 2.0 points

9th

Paycom

7.2%

4.9%

Down 2.3 points

10th

The category-level change came from the combination of several significant movements rather than a single dominant shift: five brands entered the benchmark with material coverage, and five legacy names exited or were renamed, producing a mixed month where the leader's decline was significant but its position remained secure, while the next tier grew more crowded, with four brands (ADP TotalSource, Patriot Software, Square, Rippling PEO) now holding between 31% and 49% coverage.

What Changed This Month

Gusto: Leader's Coverage Slips but Position Holds

Gusto's valid recommendation coverage fell 5.0 points from 75.9% in July 2026 to 70.9% in August 2026, a significant decline. The brand remains the category leader with a 6.9-point gap over QuickBooks Payroll.

Gusto's raw mention presence also slipped, from 99.2% to 97.1%, while top-three recommendation rate fell from 66.3% to 61.3% and rank-one rate fell from 57.1% to 52.9%. Gusto still secured 360 rank-one recommendations out of 680 qualified observations in August 2026.

The distinction to notice: Gusto remains highly visible and strongly recommended, but its recommendation intensity softened across all placement tiers. The benchmark cannot establish why the softening occurred, only that it appears broad rather than concentrated in a single placement tier.

Highest-priority diagnostic: Which prompt types drove Gusto's coverage decline, and did the entry of PEO-focused entities (ADP TotalSource, Rippling PEO, Paychex PEO) capture share in employer-of-record or benefits-heavy queries where Gusto previously ranked first?

ADP TotalSource: New Entity Enters with Strong Coverage

ADP TotalSource entered the August 2026 benchmark with 48.8% valid recommendation coverage (332 valid recommendations out of 680 qualified observations), a significant rise from its zero baseline. This reflects the benchmark's shift from tracking ADP to tracking ADP TotalSource, the PEO arm of the business.

The new entity reached 66.8% raw mention presence, meaning AI systems surfaced ADP TotalSource in over two-thirds of qualified observations. Its top-three rate was 23.4% and rank-one rate was 6.0% (41 rank-one recommendations), placing it fourth in the category behind Gusto, QuickBooks Payroll, and OnPay.

The distinction to notice: ADP TotalSource's presence is strong but its recommendation quality is mid-tier, with an average recommended rank of 3.35. The brand is talked about often but recommended first only 6.0% of the time, suggesting AI systems treat it as a credible option rather than a default answer.

Highest-priority diagnostic: In which query contexts does ADP TotalSource appear but lose the recommendation to another brand, and what attributes do AI systems associate with it versus Gusto or QuickBooks Payroll when it is not selected?

Patriot Software: The Most Improved Consistently Tracked Brand

Patriot Software rose 8.9 points from 39.3% valid recommendation coverage in July 2026 to 48.2% in August 2026, a significant gain and the largest upward movement among brands tracked in both months.

The improvement was broad-based: raw mention presence climbed 11.7 points from 45.4% to 57.1%, top-three recommendation rate rose 11.0 points from 7.5% to 18.5%, and rank-one rate gained 3.8 points from 0.8% to 4.6%. Patriot Software earned 31 rank-one recommendations out of 680 qualified observations in August 2026, up from 5 out of 639 in July 2026.

The distinction to notice: Patriot Software improved across presence and recommendation depth simultaneously, and its net sentiment score held steady at 0.9. The pattern suggests AI systems increasingly both mention and recommend the brand, not merely surface it more often.

Highest-priority diagnostic: Which surfaces or prompt categories drove Patriot Software's 31 rank-one recommendations, and did the gain concentrate in small-business payroll queries where its positioning may align closely with buyer intent?

Square: Rebranded Entity Captures Significant Coverage

Square entered the August 2026 benchmark with 43.4% valid recommendation coverage (295 valid recommendations), a significant rise from the zero baseline. The benchmark shifted from tracking Square Online (27.1% coverage in July 2026) to Square as a broader entity.

Square's raw mention presence was 60.6%, but its top-three rate was just 9.3% and rank-one rate 0.9% (6 rank-one recommendations). The brand is widely mentioned but infrequently placed at the top of recommendation lists, with an average recommended rank of 4.70.

The distinction to notice: Square's coverage is broad but shallow, with most of its 295 valid recommendations landing outside the top three. The brand appears in many AI answers but rarely as the primary suggestion, particularly when compared with Gusto's 52.9% rank-one rate.

Highest-priority diagnostic: What prompts surface Square by name but rank it fourth or lower, and which competitors capture the top positions in those contexts?

Legacy Brand Exits: ADP, Paychex, Rippling, and Square Online

Four legacy brand names exited the tracked set or were replaced in August 2026: ADP fell from 70.7% to 0.0%, Paychex from 38.0% to 0.0%, Rippling from 56.6% to 0.0%, and Square Online from 27.1% to 0.0%. These apparent declines reflect the benchmark's shift to PEO-specific or broader entity names (ADP TotalSource, Paychex PEO, Rippling PEO, Square) rather than losses of AI recommendation credit.

The replacement entities entered with meaningful coverage: ADP TotalSource at 48.8%, Paychex PEO at 20.7%, Rippling PEO at 31.2%, and Square at 43.4%. For ADP and Square, the rebranded entities captured most of the legacy brand's prior coverage. For Paychex and Rippling, the PEO-specific entities entered with lower coverage than the legacy names held.

The distinction to notice: the benchmark's brand definitions changed, not necessarily the underlying AI systems' behavior. Readers comparing July to August should treat these four pairs (ADP/ADP TotalSource, Paychex/Paychex PEO, Rippling/Rippling PEO, Square Online/Square) as linked measurements rather than independent competitive movements.

Highest-priority diagnostic: How much of the coverage gap between legacy names and their PEO counterparts reflects genuine differences in how AI systems treat the entities versus the benchmark's naming change?

Stable Core: QuickBooks Payroll, OnPay, Justworks, Paycom

Four consistently tracked brands showed no significant movement in August 2026. QuickBooks Payroll's overall coverage slipped 3.0 points from 67.0% to 64.0%, while its top-three rate rose 9.0 points from 32.2% to 41.2%, suggesting stronger recommendation quality despite slightly lower overall coverage. OnPay declined 2.4 points to 53.2%, but its raw mention presence rose 6.6 points to 72.2%. Justworks fell 2.0 points to 6.8% and Paycom 2.3 points to 4.9%, both stable.

The stable core's behavior contrasts with the significant movement across the renamed entities. QuickBooks Payroll's improving top-three rate is notable because it signals deeper recommendation quality even as its overall coverage dipped slightly.

Highest-priority diagnostic: Did QuickBooks Payroll's top-three gain and OnPay's presence gain share common prompt drivers, or did they arise from different surfaces and query types?

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Queries seeking a recommended payroll provider for a stated need

Which brand is AI most likely to name first, and for which buyer profiles?

Pricing & Value

Queries focused on cost, pricing models, and value comparisons

Where does price-sensitive buyer intent direct the recommendation?

Multi-Brand Comparison

Queries comparing two or more providers head-to-head

Which brand wins the direct comparison, and on what attributes?

In both July and August 2026, all 639 and 680 qualified observations respectively fell into the Brand Recommendation cluster. This means the public benchmark can confidently describe which payroll providers AI systems recommend for general selection queries, but it cannot yet answer price-sensitive or head-to-head comparison questions. The August 2026 response-type distribution did include 132 pricing analysis and 64 comparison analysis responses, but these did not produce qualified observations in the pricing or comparison clusters. Brands seeking insight into how AI answers "which is cheaper" or "Gusto vs. ADP TotalSource" queries will need a company-level analysis beyond the public benchmark.

Brand Opportunity Summary

Brand

Aug 2026 coverage

Current signal

Highest-priority diagnostic

Gusto

70.9%

Leader with declining but still dominant coverage; 360 rank-one recommendations

Which prompt types drove the 5.0-point coverage decline?

QuickBooks Payroll

64.0%

Stable overall coverage with a 9.0-point top-three gain

Which surfaces raised top-three placement to 41.2%?

OnPay

53.2%

Stable coverage with a 6.6-point presence gain

Where did raw mention presence rise without lifting coverage?

ADP TotalSource

48.8%

Strong entry, mid-tier recommendation depth (23.4% top-three)

Which queries surface the brand but rank a competitor first?

Patriot Software

48.2%

Broad-based gain across presence and all placement tiers

Which prompts drove 31 rank-one recommendations?

Square

43.4%

Wide presence (60.6%) but shallow placement (0.9% rank-one)

Why is the brand mentioned often but rarely ranked first?

Rippling PEO

31.2%

New entity with positive sentiment (0.9)

Which PEO-specific queries capture the brand's recommendations?

Paychex PEO

20.7%

New entity with modest coverage

Which competitor takes the recommendation when Paychex PEO is present?

Justworks

6.8%

Stable, small count (46 valid recommendations)

Which niche prompts produce the brand's recommendations?

Paycom

4.9%

Stable, small count (33 valid recommendations)

Which prompts sustain the brand's limited coverage?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of CiteWorks Studio's AI Market Discovery research program.

Report-Specific Interpretation Notes

  • Small-count movement: Paycom (33 valid recommendations), Justworks (46), and Paychex PEO (141) have small denominators; their coverage percentages can move sharply with few recommendation changes and should be read with caution.
  • Qualified denominator vs raw collection: Brand-level percentages are calculated against the qualified benchmark set (639 observations in July 2026, 680 in August 2026), not the 800 raw prompt-surface observations collected each month.
  • Instrument change: The tracked brand set shifted materially between months, with five legacy names replaced or renamed. Cross-month comparisons for those entities reflect measurement changes, not pure competitive movement.
  • Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentage sit the questions that matter for strategy: which high-intent prompts does a brand win outright, which competitor takes the recommendation when a brand loses, what attributes do AI systems associate with each option, and which external sources shape those answers. A brand with 70.9% coverage may be losing the most valuable buyer-intent queries, while a brand at 20.7% may be winning every query where it is mentioned.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Where the public benchmark shows movement, the audit reveals the mechanisms.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
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Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
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About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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