Meal Delivery Services: AI Visibility Market Discovery Index

Benchmark Summary

Factor led the Meal Delivery Services benchmark in October 2026 with valid recommendation coverage of 78.6%, unchanged from 78.6% in August 2026. HelloFresh followed at 76.4% in October 2026, a gap of 2.2 percentage points to the leader.

No tracked brand recorded a coverage increase beyond normal month-to-month variation in October 2026. The largest coverage decline came from Blue Apron, where valid recommendation coverage fell to 44.3% in October 2026 from 52.9% in August 2026, an 8.6-point decline in coverage that moved beyond normal variation. Home Chef also declined beyond normal variation, to 60.1% in October 2026 from 66.2% in August 2026 (down 6.1 points), as did Purple Carrot, to 57.6% in October 2026 from 62.8% in August 2026 (down 5.2 points).

The benchmark began with 800 prompt-surface observations in each month and produced 677 qualified observations for October 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. September 2026 sat between these two points, with 691 qualified observations and Factor still leading on valid recommendation coverage at 80.9%.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Meal Delivery Services

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. See the AI Visibility Market Discovery Methodology.

Current Brand Standings

Questions This Section Answers

• Which meal delivery brands lead the October 2026 AI recommendation standings?
• How do presence rate and valid recommendation coverage differ across the tracked brands?
• Which brands have the strongest top-three and rank-one rates?

How to Read the Standings

• Presence rate is the share of qualified observations where the brand appears at all.
• Valid recommendation coverage is the share where the brand appears in a qualified recommendation context.
• Top-three rate is the share where the brand appears in the first three recommended positions.
• Rank-one rate is the share where the brand is the first recommendation.
• Net sentiment is the balance of positive over negative brand mentions.

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

Recommendation Coverage Movement

Questions This Section Answers

• Which meal delivery brands gained or lost valid recommendation coverage since August 2026?
• Why did Blue Apron's coverage decline beyond normal variation?
• What does CookUnity's gain say about its visibility in AI recommendations?

Largest Increase: CookUnity

CookUnity posted the largest coverage gain in the series, though it remained within normal month-to-month variation on the primary metric. Valid recommendation coverage rose to 71.9% in October 2026 from 68.2% in August 2026, up 3.7 percentage points, and the brand has now moved upward in each of the two months since August 2026. The gain was supported by a broader presence base: raw mention presence rate rose to 80.7% in October 2026 from 75.0% in August 2026 (up 5.7 points), and top-three rate rose to 41.9% from 30.8% (up 11.1 points).

Largest Decline: Blue Apron

Blue Apron's valid recommendation coverage fell to 44.3% in October 2026 from 52.9% in August 2026, a decline of 8.6 percentage points that went beyond normal variation. The brand has now declined in each of the two months since August 2026. The decline appeared across placement signals: raw mention presence rate fell to 51.7% in October 2026 from 62.6% in August 2026 (down 10.9 points) and rank-one rate fell to 9.6% from 14.5% (down 4.9 points), while the top-three rate declined to 26.1% from 29.4% (down 3.3 points).

Category Leader: Factor

Factor held the highest valid recommendation coverage at 78.6% in October 2026, unchanged from 78.6% in August 2026. September 2026 briefly pushed that figure to 80.9%, and the October reading returned to the baseline level, a shift within normal variation. Factor's top-three rate rose to 39.9% in October 2026 from 27.9% in August 2026 (up 12.0 points), even as its coverage held flat.

Recommendation Placement Snapshot

Questions This Section Answers

• Which meal delivery brand is most often the first recommendation?
• How can a brand with lower coverage still hold a stronger first-choice position?
• Which brands had the highest top-three and rank-one rates in October 2026?

Coverage alone does not show how prominently a brand is recommended. HelloFresh, second on coverage, holds the strongest first-choice position, with a top-three rate of 58.2% and a rank-one rate of 24.2% in October 2026. CookUnity followed at 41.9% and 18.0%, while coverage leader Factor posted 39.9% and 13.2% in the same month.

Close coverage between brands can still hide different first-position rates, which are a distinct signal from overall recommendation presence.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes are represented in the qualified meal delivery observations?
• Why are pricing, value, and multi-brand comparison classes absent from the current series?

All qualified observations in both August 2026 and October 2026 fell into the Brand Recommendation class.

The current public series measures brand-recommendation discovery only and does not yet contain qualified observations in the pricing, value, or multi-brand comparison classes.

Historical Measurement Record

Questions This Section Answers

• How have qualified observations and the coverage leader changed across the August, September, and October 2026 measurements?
• Which brand recorded the largest coverage movement in each measurement period?

New measurements are added to the same benchmark report.

Top 10 Cited Domains

Questions This Section Answers

• Which domains are cited most often in AI responses about meal delivery services?
• What types of sources dominate the citation pattern for this vertical?
• How concentrated are citations among the top domains?

Across all AI responses in October 2026, the benchmark observed 6,745 citations drawn from 670 unique domains.

Citations are moderately concentrated at the top: the ten most-cited domains account for a combined 46.4% of all citations, while the remaining 660 domains share the rest. None of the tracked meal delivery brands' own domains appear in the top 10. The pattern is dominated by food and lifestyle publishers (bonappetit.com, goodhousekeeping.com, seriouseats.com, foodnetwork.com) alongside general news (nbcnews.com), consumer technology reviews (cnet.com), user-generated platforms (youtube.com, reddit.com), and a health information site (healthline.com), suggesting that editorial and review sources shape this vertical's AI recommendations more than official brand sites.

Evidence and Source Layer

This 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, or conversions from AI responses
• Every possible AI response a user could receive for a given query
• Organic-search ranking performance
• Social media mention volume or sentiment
• Private or sponsored channels such as branded plugins or paid placements
• Causality from a metric movement alone

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how often and how prominently brands appear in AI-generated recommendations across the six canonical AI/search surface families. It is a neutral industry benchmark built from a structured collection of prompt-level observations.

• 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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