How AI Search Is Recommending Document Management Software: Monthly Trends

Executive Summary

Microsoft SharePoint remains the coverage leader in AI recommendations for document management software, but the category's center of gravity continues to shift. SharePoint's valid recommendation coverage rose 3.5 points from August 2026 (41.6%) to September 2026 (45.1%), extending its lead over the next closest brand, Box at 33.8%, to 11.3 points. This marks the first month-over-month gain for SharePoint since the series began in July.

The September picture is defined less by a single dramatic move and more by sustained, category-wide declines measured against the July 2026 baseline. Seven of the ten tracked brands registered declines from July that exceed normal month-to-month variation: Box, DocuWare, Dropbox Business, Laserfiche, M-Files, Microsoft SharePoint, and Revver (eFileCabinet). Revver (eFileCabinet) was the only brand to show a significant decline from August to September, falling 5.2 points from 13.7% to 8.5%.

The sharpest cumulative slide belongs to Box, whose coverage fell 15.8 points from July 2026 (49.6%) to September 2026 (33.8%). This movement combined a 14.6-point drop from July to August with a further 1.2-point decline in September. Every brand that held meaningful coverage in July now sits measurably lower in September, a broad decline across the category rather than a single competitive displacement.

Each monthly run begins with 800 prompt-surface observations (499 unique questions in July, 566 in August, 575 in September) across the benchmark's defined AI/search surface universe. Of those, all 800 mentioned a tracked brand or competitor in each month; 437 were relevant and 363 were irrelevant in July, versus 562 relevant and 238 irrelevant in August, and 540 relevant and 260 irrelevant in September. The public metrics use the 385 qualified observations in July, 454 in August, and 423 in September that survive both qualification stages.

Key Findings

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.

These benchmark-level metrics summarize the qualified dataset that underlies every brand-level figure in this report.

Benchmark-Level Metrics

The valid recommendation shortlist share, which measures how often AI answers resolve into a full ranked shortlist, has fallen in each consecutive month from 64.7% in July to 51.8% in August to 51.3% in September. The recommendation-shaped answer share followed a similar path, down from 37.4% to 34.6% to 29.6% across the three months.

AI Recommendation Trend

Microsoft SharePoint leads by a wider margin as the category resets below July levels

Microsoft SharePoint leads the category at 45.1% valid recommendation coverage in September 2026. After a sharp 17.4-point drop from July to August, SharePoint recovered 3.5 points in September. The gap to the next brand, Box at 33.8%, is 11.3 points, wider than at any point in the series. The category's middle tier, comprising Box, M-Files, DocuWare, and Laserfiche, now clusters between 33.8% and 19.4% coverage.

The category-level change came from a combination of several smaller movements rather than a single dominant event. Seven brands declined at levels above normal variation relative to the July 2026 baseline, though only Revver (eFileCabinet) showed significant movement from August to September. When measured from baseline to current, the declines are broad-based and comparable in scale across the top five brands, with drops ranging from 12.2 to 15.8 points.

What Changed This Month

Microsoft SharePoint

Microsoft SharePoint's valid recommendation coverage rose 3.5 points from August 2026 (41.6%) to September 2026 (45.1%), the first month-over-month gain for the category leader. Despite this recovery, the brand remains down 13.9 points from its July 2026 baseline of 59.0%, a decline that registers above normal month-to-month variation.

Raw mention presence held effectively steady, moving from 86.8% in July to 87.9% in September. Top-three recommendation rate came in at 35.5% in September versus 37.1% in July, a 1.6-point decline. Rank-one rate moved from 23.6% to 21.8% over the same period.

The distinction to notice: SharePoint's absolute rank-one count rose from 91 in July to 97 in August to 92 in September across a fluctuating observation set, while its presence in AI answers remained the highest in the category. The brand's September recovery came from improved coverage within a smaller qualified set rather than from expanded presence.

Highest-priority diagnostic: Which surfaces or prompt categories drove SharePoint's September recovery, and does the brand's rank-one rate stability indicate durable top placement or concentration in specific question types?

Box

Box's valid recommendation coverage fell 15.8 points from July 2026 (49.6%) to September 2026 (33.8%), the largest baseline-to-current decline in the category. The movement was front-loaded, with a 14.6-point drop from July to August followed by a further 1.2-point decline in September. Despite the slide, Box now holds second place, up from third in August.

Raw mention presence fell 9.7 points from 71.2% to 61.5% over the series. Top-three rate, however, moved in the opposite direction, rising 0.9 points from 13.8% to 14.7%. Rank-one rate declined 1.0 point from 3.4% to 2.4%.

The distinction: Box's absolute valid recommendation count fell from 191 in July to 143 in September, a loss of 48 recommendations even as the qualified set grew. The brand retained its top-three placement rate while losing overall recommendation breadth, suggesting the decline concentrated in mid-tier recommendation positions.

Highest-priority diagnostic: Which prompt patterns still produce top-three placements for Box, and where did the brand lose the mid-tier recommendations that carried its July coverage?

Revver (eFileCabinet)

Revver (eFileCabinet) was the only brand with significant movement from August 2026 to September 2026, falling 5.2 points from 13.7% to 8.5% in valid recommendation coverage. Measured from the July 2026 baseline of 17.7%, the decline totals 9.2 points.

Raw mention presence dropped 10.1 points from 23.6% to 13.5% across the series. Top-three rate fell 3.5 points from 4.7% to 1.2%. Rank-one placements fell to zero in September from one in July. The absolute valid recommendation count fell from 68 in July to 36 in September.

The distinction: Revver (eFileCabinet) lost ground across every measure, with presence declining faster than coverage. The brand's net sentiment score remained positive at 0.8, indicating the decline came from reduced appearance in AI answers rather than negative framing.

Highest-priority diagnostic: Which surfaces or prompt types accounted for the accelerating September decline, and which competitor is now recommended in the brand's place?

M-Files

M-Files' valid recommendation coverage fell 13.9 points from July 2026 (46.8%) to September 2026 (32.9%). The brand held second place in August but fell to third place in September, behind Box. The decline was concentrated in the July-to-August period, with an 11.3-point drop, followed by a 2.6-point decline in September.

Raw mention presence fell 7.0 points from 68.0% to 61.0%. Top-three rate declined 7.4 points from 26.5% to 19.1%. Rank-one rate fell 2.5 points from 6.5% to 4.0%. Absolute valid recommendation count fell from 180 in July to 139 in September.

The distinction: M-Files lost ground in both coverage and placement quality; the top-three rate decline was larger than its overall presence decline. The brand's average recommended rank worsened from 2.88 in July to 3.13 in September, meaning when recommended, it appeared lower on average.

Highest-priority diagnostic: Which prompt patterns drove the top-three rate decline, and does the brand still win recommendations when buyers ask about specific use cases like document workflow automation?

DocuWare

DocuWare's valid recommendation coverage fell 12.2 points from July 2026 (43.6%) to September 2026 (31.4%). The decline was steepest from July to August at 10.3 points, with a further 1.9-point drop in September. DocuWare held fourth place throughout the series.

Raw mention presence fell 6.3 points from 62.3% to 56.0%. Unlike most decliners, DocuWare held its top placements, with top-three rate rising 1.0 point from 20.3% to 21.3% and rank-one rate holding flat at 5.2%.

The distinction: DocuWare's absolute valid recommendation count fell from 168 in July to 133 in September, but its top-three count rose from 78 to 90, and its rank-one count rose from 20 to 22. The brand's decline came entirely from mid-tier recommendation positions, while its premium placements improved.

Highest-priority diagnostic: Which competitors capture the mid-tier recommendations DocuWare lost, and can the brand's improving top-three placement be extended to a broader set of prompts?

Laserfiche

Laserfiche's valid recommendation coverage fell 15.1 points from July 2026 (34.5%) to September 2026 (19.4%), the second-largest baseline-to-current decline after Box. The drop was concentrated in the July-to-August period at 14.9 points.

Raw mention presence fell 9.6 points from 48.8% to 39.2%. Top-three rate declined 2.2 points from 10.7% to 8.5%, while rank-one rate fell 0.4 points from 2.3% to 1.9%. Absolute valid recommendation count fell from 133 in July to 82 in September.

The distinction: Laserfiche's presence in AI responses fell, but the decline in its valid recommendation count was proportionally larger. The brand's net sentiment score declined from 0.9 in July to 0.7 in September, though it remained positive, indicating the movement came from reduced appearance rather than negative treatment.

Highest-priority diagnostic: Which question categories no longer surface Laserfiche, and does the brand retain strength in prompts specific to its core segments like government or financial services?

Dropbox Business

Dropbox Business's valid recommendation coverage fell 8.4 points from July 2026 (25.2%) to September 2026 (16.8%). The decline was gradual, with a 7.1-point drop from July to August and 1.3 points in September.

Raw mention presence fell 7.2 points from 40.5% to 33.3%. Top-three rate declined 2.9 points from 11.2% to 8.3%, and rank-one rate fell 0.3 points from 1.0% to 0.7%. Absolute valid recommendation count fell from 97 in July to 71 in September.

The distinction: Dropbox Business's net sentiment score declined from 0.8 in July to 0.6 in September. The brand now ranks sixth in the category, below Laserfiche's 19.4% coverage and above the remaining brands, which fall below 15%.

Highest-priority diagnostic: What drives the declining sentiment alongside reduced coverage, and does the brand win recommendations in prompts about cloud file sharing rather than full document management?

Stable brands

OpenText, FileHold, and Templafy all registered movement below the significance thresholds in September. OpenText is the notable story among this group, rising 3.2 points from August 2026 (11.7%) to September 2026 (14.9%), recovering most of its July-to-August decline. Raw mention presence rose 7.7 points from 30.6% to 38.3% across the series, even as coverage fell 0.4 points from 15.3% to 14.9%.

FileHold rose to 2.8% coverage in September from 1.0% in July, with 12 valid recommendations versus 4 in July. Raw mention presence rose 3.6 points from 1.8% to 5.4%. Templafy fell to 0.0% coverage in September, with no valid recommendations, after holding 0.3% in July and 0.7% in August. These small counts make FileHold's and Templafy's movements directionally informative but not commercially material.

Highest-priority diagnostic: For OpenText, presence rose while coverage fell, so which prompts surface the brand without recommending it, and for Templafy, which prompts produced the vanished recommendations?

Buyer-Intent Interpretation

In all three months of the series, every qualified observation fell into the Brand Recommendation cluster. There were zero qualified observations in either the Pricing & Value or Multi-Brand Comparison clusters across July, August, and September 2026. The public benchmark can therefore speak to which brands AI recommends for document management software, but it cannot yet answer questions about how price, value, or direct brand comparisons shape those recommendations.

Brand Opportunity Summary

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 capturing the 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 the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: Brands like FileHold and Templafy have very few valid recommendations (12 and 0 respectively in September). Their percentage movements are directionally informative but not commercially significant.
• Qualified denominator: All coverage percentages use the qualified observation count (423 in September) as the denominator, not the raw collection of 800 prompts.
• Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. The benchmark describes the output distribution, not its cause.

Next Step

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

Beneath the aggregate percentages sit the questions that matter: which high-intent prompts is a brand winning, which competitor takes the recommendation when a brand loses, what attributes does AI associate with each option, and which external sources shape those answers. The September 2026 data raises these questions acutely for the seven significant decliners in document management software, since the category recorded declines across most of the tracked field rather than a shift between two competitors.

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 identifies a decline, the audit identifies the mechanism and the path to recovery.

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