POS Systems: AI Visibility Market Discovery Index

Benchmark Summary

Square remains the coverage leader in the POS Systems benchmark, posting valid recommendation coverage of 71.9% in September 2026 against a July 2026 baseline of 73.0% — a small decline that stays within normal month-to-month variation for the category. The gap to the next brand, Lightspeed at 65.5% in September 2026, stands at 6.4 percentage points. Against the July 2026 baseline, only two brands moved beyond normal variation: TouchBistro, which fell from 25.2% to 19.5% (down 5.7 points), and Revel Systems, which fell from 5.9% to 3.1% (down 2.8 points). Every other tracked brand, including Square, is classified as stable across the July-to-September window.

Within the single month of August to September 2026, five brands posted increases beyond normal month-to-month variation: Square (up 16.7 points, from 55.2% to 71.9%), Toast (up 15.6 points), Lightspeed (up 15.0 points), Clover (Fiserv, Inc.) (up 14.2 points), and Shopify POS (up 8.7 points). This month-over-month movement brought most brands back toward their July baseline levels, following a broad category-wide dip in August 2026.

The benchmark began from 800 prompt-surface observations in each month and produced 630 qualified observations in July 2026 and 666 qualified observations in September 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation, which are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The benchmark held full breadth across all six families in both months. The August 2026 measurement dipped to 55.2% for Square before the September 2026 reading.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending POS Systems

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. The funnel below shows how observations are progressively qualified.

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

Current Brand Standings

This table is the primary current-month benchmark view, sorted by valid recommendation coverage.

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 in the top three recommended positions.
• Rank-one rate: share of qualified observations where the brand is the single top recommendation.
• Net sentiment: share of positive mentions minus negative mentions among all mentions.

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

Recommendation Coverage Movement

Largest Decline: TouchBistro

TouchBistro recorded the largest baseline-to-current coverage decline, falling 5.7 percentage points from 25.2% in July 2026 to 19.5% in September 2026, a move beyond normal month-to-month variation. Its presence rate fell from 33.8% to 32.1%, and its top-three rate declined from 3.2% to 2.2%. TouchBistro appeared in 214 observations in September 2026.

Significant Decline: Revel Systems

Revel Systems also declined beyond normal variation, down 2.8 percentage points from 5.9% in July 2026 to 3.1% in September 2026. Its presence rate fell from 9.5% to 7.5%, and its top-three rate dropped from 0.2% to 0.0%. Revel Systems appeared in 50 observations in September 2026.

Stable Brands

Eight brands were stable from July 2026 to September 2026, meaning their baseline-to-current movements stayed within normal month-to-month variation. Square, Lightspeed, Toast, Clover (Fiserv, Inc.), and Shopify POS all recovered from the August 2026 dip, posting September 2026 coverage levels close to their July 2026 baselines. The other stable brands were Epos Now, NCR Aloha, and SpotOn, all of which sit at lower absolute levels of recommendation coverage.

Category Leader: Square

Square held the top valid recommendation coverage position in September 2026 at 71.9%, ahead of Lightspeed at 65.5% and Toast at 64.0%. Square also holds a dominant first-choice position with a 48.2% rank-one rate, far ahead of Toast at 17.7% and Lightspeed at 0.9%. Square appeared in 665 of 666 qualified observations, a presence rate of 99.9%.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The top-three and rank-one rates below show how often leading brands appear in the most visible positions.

Square converted its coverage into top placement, appearing first in 48.2% of qualified observations versus 17.7% for Toast and 0.9% for Lightspeed. Lightspeed, despite coverage close to Toast, rarely appeared in the first position, showing how similar coverage levels can hide very different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class of buyer-intent discovery.

The current public series measures brand-recommendation discovery only; pricing, value, and head-to-head comparison questions are not represented in this data.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

The July 2026 measurement is the baseline for this series.

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 or sales attributable to AI recommendations.
• Every possible AI response across all model versions and personalizations.
• Organic-search ranking positions outside AI-generated answers.
• Social media mention volume or sentiment.
• Private or sponsored channels such as paid placements.
• Causality from a metric movement alone; the benchmark records change, not why it occurred.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how often and how prominently brands are recommended by major AI and search surfaces across a vertical. Each month, a consistent set of prompt-surface observations is collected across six canonical AI families, then qualified into a public benchmark that measures presence, recommendation coverage, placement, and sentiment for each tracked brand.

Research links:

• AI Visibility Market Discovery Index
• 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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