Procurement Software: AI Market Discovery Index

Benchmark Summary

Coupa led the Procurement Software benchmark in August 2026 with a valid recommendation coverage of 45.2%, ahead of SAP Ariba at 42.9%, a gap of 2.3 percentage points. No brand posted a significant increase in valid recommendation coverage this month. Eight of the ten tracked brands recorded significant declines: Coupa, GEP SMART, Ivalua, Jaggaer, Precoro, Procurify, SAP Ariba, and Zip. Kissflow Procurement and Tradeshift held stable within normal month-to-month variation.

The largest coverage decline came from Coupa, which fell from 65.6% in July 2026 to 45.2% in August 2026, a drop of 20.4 percentage points. Procurify recorded the next largest decline, falling from 45.4% in July 2026 to 27.7% in August 2026, down 17.7 percentage points.

The benchmark began with 800 prompt-surface observations in each month and produced 476 qualified observations in August 2026 after qualification.

Current Benchmark at a Glance

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 benchmark maintained coverage across all six families in both months.

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

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. Brand-level percentages use the qualified observations as the public denominator, not the raw collection.

For additional detail on the research approach, see AI Market Discovery Methodology.

Current Brand Standings

How to Read the Standings

• Presence rate: the share of qualified observations where the brand is mentioned at all.
• Valid recommendation coverage: the share of qualified observations where the brand receives a valid recommendation.
• Top-three rate: the share of qualified observations where the brand appears among the top three recommended options.
• Rank-one rate: the share of qualified observations where the brand is the first recommendation.
• Net sentiment: the balance of positive over neutral and negative mentions, scaled from 0 to 1.

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

Recommendation Coverage Movement

Largest Decline: Coupa

Coupa's valid recommendation coverage fell from 65.6% in July 2026 to 45.2% in August 2026, down 20.4 percentage points, beyond normal month-to-month variation. The decline was accompanied by drops in top-three rate from 57.0% to 36.8% and rank-one rate from 32.8% to 17.0%. Presence rate remained comparatively stable at 94.1%, indicating the issue is recommendation conversion, not discoverability.

Largest Decline: SAP Ariba

SAP Ariba's valid recommendation coverage fell from 62.6% in July 2026 to 42.9% in August 2026, down 19.7 percentage points, beyond normal variation. Top-three rate declined from 44.9% to 31.5%, and rank-one rate declined from 19.6% to 13.7%. Presence rate held steady at 89.5% in August 2026, down from 90.6% in July 2026, within normal variation.

Decline: Procurify

Procurify's valid recommendation coverage fell from 45.4% in July 2026 to 27.7% in August 2026, down 17.7 percentage points, beyond normal variation. Presence rate declined from 55.4% to 46.2%, also beyond normal variation. Top-three rate moved from 17.5% to 14.1%, within normal variation.

Category Leader: Coupa

Coupa remained the category leader in August 2026 with valid recommendation coverage of 45.2%, ahead of SAP Ariba at 42.9%. Coupa's lead narrowed from 3.0 percentage points in July 2026 to 2.3 percentage points in August 2026, as both brands posted significant declines.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. While Coupa and SAP Ariba lead in valid recommendation coverage, their top-three and rank-one rates reveal how often they appear in the most prominent positions.

Coupa's top-three rate of 36.8% in August 2026 was more than double its nearest brand's rate, while its rank-one rate of 17.0% led the category. Close coverage figures can still hide different first-position rates, as seen with Precoro at 28.1% coverage and a 3.1% rank-one rate versus Procurify at 27.7% coverage and a 3.8% rank-one rate.

Buyer-Intent Distribution

The qualified observations in both months fell into the Brand Recommendation class of discovery.

Price, value, and head-to-head comparison have no public signal in this data. The current public series measures the Brand Recommendation class of discovery exclusively and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

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

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. The current dataset cannot answer pricing or comparison questions.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how often brands appear in AI-generated responses across major AI/search surfaces, using a structured research methodology applied to a defined prompt universe each month.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper. The public percentage cannot identify the prompts, competitors, or sources causing the result.

Get my free AI Company Index