Call Answering Services: AI Market Discovery Index

Benchmark Summary

Ruby led the Call Answering Services category in September 2026 with valid recommendation coverage of 50.8%, down from 72.7% in the July 2026 baseline. The gap to the next brand was 4.7 percentage points, with AnswerConnect at 46.1%.

The largest cumulative decline over the three-month series was AnswerConnect, whose valid recommendation coverage fell from 71.9% in July 2026 to 46.1% in September 2026, a drop of 25.8 points. Eight other tracked brands — Abby Connect, Davinci Virtual, MAP Communications, Moneypenny, Ruby, Smith.ai, Specialty Answering Service (SAS), and VoiceNation — also recorded declines large enough to exceed normal month-to-month variation across the same period. PATLive and Ruby Receptionists remained stable within normal month-to-month variation.

The one movement large enough to flag between August 2026 and September 2026 was Ruby's recovery from 0.0% to 50.8% valid recommendation coverage, breaking a one-month absence. That absence, and the recovery, track a naming transition rather than an independent gain or loss: the brand was measured separately under the Ruby Receptionists label in August 2026 (38.0% coverage), and Ruby Receptionists fell back to 0.0% in September as the tracked name reverted to Ruby. Taken together, the two series describe a single brand's naming change rather than an independent gain or loss, and Ruby's September coverage remains below its July baseline.

The benchmark began with 800 prompt-surface observations in each of July and September 2026, and 654 in August 2026, producing 267, 392, and 319 qualified observations respectively 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. All six families were represented in both months.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Call Answering 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 Market Discovery Methodology for full details.

Current Brand Standings

How to Read the Standings

• Presence rate: share of qualified observations where the brand is mentioned at all.
• Valid recommendation coverage: share of qualified observations where the brand appears in a recommendation shortlist.
• Top-three rate: share of qualified observations where the brand appears in the first three recommendation positions.
• Rank-one rate: share of qualified observations where the brand is the first recommendation.
• Net sentiment: positive minus negative mentions divided by total brand mentions.

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

Recommendation Coverage Movement

Largest Increase: Ruby

Ruby's valid recommendation coverage rose from 0.0% in August 2026 to 50.8% in September 2026, representing 162 valid recommendations out of 319 qualified observations. The brand recorded a presence rate of 82.5% in September 2026. The recovery followed a month in which the brand was tracked under the Ruby Receptionists naming convention.

Largest Decline: Ruby Receptionists

Ruby Receptionists' valid recommendation coverage fell from 38.0% in August 2026 to 0.0% in September 2026, a decline of 38.0 points in one month. The brand recorded no presence in September 2026 under the Ruby Receptionists naming, which reverted to Ruby as the tracked brand name.

Category Leader: Ruby

Ruby was the category leader in September 2026 with valid recommendation coverage of 50.8%, down from 72.7% in July 2026. The brand recorded a presence rate of 82.5% in September 2026. Despite the baseline decline, Ruby held the lead by a 4.7 percentage point margin over AnswerConnect.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, placement rates varied meaningfully in September 2026.

Ruby and AnswerConnect had similar coverage in September 2026, but AnswerConnect's rank-one rate of 16.6% exceeded Ruby's 10.3%. Close coverage can still hide different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the brand recommendation class, which captures discovery and consideration queries.

The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and 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. Movements in tracked metrics document change in the AI discovery environment; they do not, by themselves, establish why a change occurred.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, industry-level benchmark tracking how AI and search surfaces present brands during buyer discovery. It is built from audited, prompt-level observations across six canonical AI surface families and reports presence, recommendation coverage, placement, and sentiment for each tracked brand.

Research links:

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

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