How AI Search Is Recommending Cloud Storage: Monthly Trends

Executive Summary

Google Drive remains the category leader, holding 69.6% valid recommendation coverage in September 2026, 6.4 points ahead of Microsoft OneDrive at 63.2%. Every tracked brand's valid recommendation coverage was higher in September than in August, with Google Drive up 40.5 points and Microsoft OneDrive up 38.3 points month-over-month, the two largest single-month moves in the field. This uniform August-to-September lift lines up with August's smaller qualified observation set (523 observations, with ChatGPT absent from the qualified surface mix) giving way to a fuller collection universe in September (704 observations, all six surface families represented). The leader gap between the top two brands widened from 4.2 points in August to 6.4 points in September, closer to July's structure.

MEGA is the month's standout riser, climbing from 27.8% in July 2026 to 34.4% in September 2026, up 6.6 points from baseline, with gains in both top-three and rank-one placement. Backblaze is the sharpest decliner, falling from 27.3% to 18.3% over the same period, down 9.0 points, even after a 9.7-point rebound from its August low of 8.6%. Against July's baseline, eight of ten tracked brands are stable, meaning most of this month's movement represents a return toward prior levels rather than a new competitive order.

The July 2026 benchmark run began with 800 prompt-surface observations (463 unique questions). Of these, 800 mentioned a tracked brand or competitor; 776 were relevant and 24 were irrelevant. The public benchmark metrics use the 690 observations that survived both qualification stages. >The August 2026 run began with 600 prompt-surface observations (464 unique questions). Of these, 600 mentioned a tracked brand or competitor; 589 were relevant and 11 were irrelevant. The public metrics use the 523 qualified observations. >The September 2026 run began with 800 prompt-surface observations (537 unique questions). Of these, 800 mentioned a tracked brand or competitor; 788 were relevant and 12 were irrelevant. The public metrics use the 704 qualified observations.

Key Findings

Benchmark Context

The benchmark separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set, not the raw collection.

The August interruption, when only five of six surface families qualified and ChatGPT was absent from the qualified set, did not carry into September. All six canonical AI surface families returned with qualified observations.

Benchmark-Level Metrics

These aggregate shifts set the stage for the brand-level standings below, which show how each company's valid recommendation coverage moved from the July baseline to September and where the field stands now.

AI Recommendation Trend

The category returned to its July structure, with Google Drive and Microsoft OneDrive again separated by a clear gap at the top

September's movement sits outside normal month-to-month variation for only two brands: MEGA rose and Backblaze declined against the July baseline. For the other eight brands, September coverage sits close to July levels, indicating the month's large August-to-September gains were a return toward prior levels rather than a new competitive shift.

What Changed This Month

Category Leader: Google Drive

Google Drive's valid recommendation coverage rose from 29.1% in August 2026 to 69.6% in September 2026, up 40.5 points, close to its July 2026 level of 68.0%. Its raw mention presence reached 96.9% in September, up from 40.5% in August.

Google Drive's top-three rate rose to 54.4% in September, up 7.3 points from its July baseline of 47.1%, and its rank-one rate reached 29.8%, up 8.4 points from 21.4% in July. Both placement metrics increased from the July baseline.

The distinction to notice is that Google Drive ended September stronger than it began the series in July: coverage is up 1.6 points and rank-one placement is up 8.4 points, meaning the brand's leadership is now reinforced by more top-slot wins, not just broader presence.

Highest-priority diagnostic: Which surface families and prompt types drove the 8.4-point increase in rank-one recommendations between July and September?

Significant Riser: MEGA

MEGA's valid recommendation coverage rose from 27.8% in July 2026 to 34.4% in September 2026, up 6.6 points, the only significant riser against baseline this month. Its raw mention presence rose from 36.1% to 45.3%, up 9.2 points.

MEGA's top-three rate rose from 9.7% to 14.1%, up 4.4 points, and its rank-one rate rose from 3.5% to 7.2%, up 3.7 points. Both placement metrics increased from the July baseline. MEGA recorded 242 valid recommendations in September, up from 75 in August.

The distinction to notice is that MEGA's growth is broad-based: presence, top-three placement, and rank-one wins all moved up together, rather than riding on a single placement category.

Highest-priority diagnostic: Which competitor lost recommendation share in the prompts where MEGA gained rank-one position, and which evidence sources now favor MEGA?

Significant Decliner: Backblaze

Backblaze's valid recommendation coverage fell from 27.3% in July 2026 to 18.3% in September 2026, down 9.0 points. The decline was not uniform: August's 8.6% low was followed by a 9.7-point rebound in September, but the brand still sits below its July starting point.

Backblaze's raw mention presence fell from 40.1% to 29.3%, down 10.8 points, a decline that explains much of the coverage gap. Its top-three rate at 9.2% and rank-one rate at 3.1% in September are little changed from July.

The distinction to notice is between presence and placement: Backblaze's coverage loss is driven by appearing in fewer observations overall, while the share of top-three and rank-one recommendations it earns when present held steady. The brand recorded 129 valid recommendations in September.

Highest-priority diagnostic: Which surfaces or prompt categories account for the 10.8-point decline in Backblaze's raw mention presence between July and September?

Gap Widening: Backblaze versus MEGA and Sync.com

Backblaze's gap to MEGA widened every month across the series, from 0.5 points in July to 16.1 points in September, a widening of 15.6 points. Backblaze's gap to Sync.com also widened every month, from 11.4 points in July to 24.0 points in September, widening by 12.6 points.

These widening gaps describe a change in relative standing: Backblaze began the series near MEGA's coverage level and now trails by a wide margin, while its gap to Sync.com, a mid-tier brand, has more than doubled.

Highest-priority diagnostic: What changed in the relative recommendation patterns between Backblaze and these two brands across the three months, and which prompt categories drive the divergence?

Stable Recovery: The Remaining Field

Eight of ten brands are stable against the July baseline. Microsoft OneDrive (60.9% to 63.2%), Sync.com (38.7% to 42.3%), and pCloud (56.2% to 53.7%) all show movement within normal variation, as do Box, Dropbox Business, Google Drive, iCloud, and IDrive.

For these brands, September represents a return to July-like conditions after August's compression, with one nuance: pCloud's top-three rate at 15.6% is down 6.0 points from July's 21.6%, a decline even though overall coverage is stable.

Highest-priority diagnostic: For pCloud, which prompts shifted away from top-three recommendation even as total coverage recovered, and which brands captured those positions?

Buyer-Intent Interpretation

In September 2026, all 704 qualified observations fell into the brand recommendation cluster. No observations qualified for the pricing and value or multi-brand comparison clusters. The September data can report which brands are recommended and at what rank, but it cannot yet answer commercial questions about price perception, value positioning, or head-to-head comparison outcomes.

The concentration of all observations in a single intent class means the September data reflects direct recommendation queries only. The public benchmark does not yet capture how pricing discussions influence recommendations or which brands win in explicit comparison prompts.

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 (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Presence in a source is not automatically treated as proof of causation, and the benchmark cannot distinguish platform behavior from measurement effects.

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

• The August 2026 observation set (523 qualified observations) was materially smaller than July (690) and September (704), and ChatGPT was absent from the August qualified surface set. The large August-to-September gains for every brand should be read as a return to a fuller collection universe, not as ten independent competitive surges.
• Brand-level recommendation percentages are calculated within the qualified benchmark set, not the raw collection. The raw collection universe (800 prompts in both July and September) is larger than the qualified analysis set in both months.
• All 704 September observations fell into the brand recommendation cluster; the pricing and comparison clusters had zero qualified observations. The benchmark cannot yet comment on price, value, or head-to-head comparison outcomes.
• MEGA's rise and Backblaze's decline are the only movements that exceed normal month-to-month variation against the July baseline. Movement of this kind 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.

The aggregate percentage tells you that Google Drive leads at 69.6% and Box trails at 16.1%, but it does not reveal which high-intent prompts each brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, or which external sources shape those answers. Those questions sit beneath every percentage point in this report, and they are where competitive position is actually won or lost.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It identifies the surfaces where a brand is absent, the prompts where a competitor consistently wins the recommendation, and the evidence sources that drive the difference between being mentioned and being recommended.

Request an AI visibility audit