Virtual Receptionist Services: AI Market Discovery Index

Benchmark Summary

Ruby led the Virtual Receptionist Services benchmark in August 2026 with valid recommendation coverage of 57.8%, down from 69.9% in July 2026. The gap to the next brand was 8.3 percentage points over Smith.ai at 49.5% in August 2026, down from 56.6% in July 2026.

The month saw broad declines across seven tracked brands, with no significant risers. The largest coverage decline was AnswerConnect at 49.2% in August 2026, down 14.2 percentage points from 63.4% in July 2026. The largest decline by percentage points among leaders was Ruby at 57.8% in August 2026, down 12.1 percentage points from 69.9% in July 2026. Abby Connect, Moneypenny, Davinci Virtual, Nexa, and Posh Virtual Receptionists each declined beyond normal variation as well.

The benchmark began with 800 prompt-surface observations in each month and produced 279 qualified observations in July 2026 and 303 qualified observations in August 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the six canonical AI/search surface families with at least one qualified observation; these families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Virtual Receptionist 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. AI Market Discovery Methodology

Current Brand Standings

Sorted by valid recommendation coverage.

How to Read the Standings

Presence rate is the share of qualified observations where a brand appears anywhere in the response. Valid recommendation coverage is the share of qualified observations where a brand appears in a valid recommendation shortlist, which is the primary benchmark metric. Top-three rate is the share of observations where a brand appears among the top three recommended options. Rank-one rate is the share of observations where a brand is recommended first. Net sentiment is the positive minus negative mention balance divided by total mentions, ranging from 0 to 1.

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

Recommendation Coverage Movement

The benchmark recorded significant declines for seven brands between July 2026 and August 2026. PATLive was stable, rising only 0.4 percentage points to 16.2% from 15.8%. Smith.ai declined 7.1 percentage points but this movement was within normal month-to-month variation, leaving the brand in the stable group.

Largest Decline: AnswerConnect

AnswerConnect declined 14.2 percentage points in valid recommendation coverage between July 2026 and August 2026, from 63.4% to 49.2%. This was the largest single-month movement in the benchmark. The decline was supported by drops across other metrics: presence rate fell 12.1 percentage points to 60.7% in August 2026 from 72.8% in July 2026, and rank-one rate fell 15.5 percentage points to 16.8% from 32.3%. Net sentiment was 0.90 in August 2026, compared with 0.92 in July 2026.

Significant Declines Across the Category

Ruby declined 12.1 percentage points to 57.8% in August 2026 from 69.9% in July 2026, with top-three rate falling 12.3 percentage points to 42.2% from 54.5%. Abby Connect declined 11.9 percentage points to 29.0% from 40.9%. Moneypenny declined 11.5 percentage points to 17.5% from 29.0%. Davinci Virtual declined 9.2 percentage points to 6.9% from 16.1%. Nexa declined 7.1 percentage points to 6.9% from 14.0%. Posh Virtual Receptionists declined 6.7 percentage points to 15.5% from 22.2%.

Category Leader: Ruby

Ruby remained the category leader in August 2026 with valid recommendation coverage of 57.8%, down from 69.9% in July 2026. Ruby also led presence rate at 81.2% in August 2026, down from 85.0% in July 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the three brands with the highest coverage in August 2026, AnswerConnect had the highest rank-one rate at 16.8%, ahead of Ruby at 14.5% and Smith.ai at 11.2%.

Smith.ai and AnswerConnect show how close coverage can still hide different first-position rates: Smith.ai edged AnswerConnect on coverage at 49.5% versus 49.2% in August 2026, but AnswerConnect held a higher share of first-position recommendations at 16.8% versus 11.2%.

Buyer-Intent Distribution

All qualified observations in both months fell into the brand recommendation class of discovery and consideration.

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

Historical Measurement Record

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, or private and sponsored channels. A movement in a metric alone does not establish causality.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how prominently brands appear in AI-generated recommendations across major AI and search surfaces. New measurements are added to the same evergreen report.

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

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