How AI Search Is Recommending Call Answering Services: Monthly Trends

Executive Summary

Ruby remains the category leader in October 2026 with 56.6% valid recommendation coverage, but that figure sits 16.1 points below its July baseline — a significant decline across the tracked period. The month-over-month move from September's 50.8% was not a significant change, so October's result extends rather than reverses the baseline-to-current decline that has defined Ruby's series.

Smith.ai now holds second place at 49.8% coverage, 6.8 points behind Ruby, with AnswerConnect close behind in third at 49.5% — a gap of only 0.3 points between the second- and third-place brands. This is a change in ordering from September, when AnswerConnect (46.1%) held second place ahead of Smith.ai (43.9%). The shift traces to rank-one placement: Smith.ai's rank-one rate rose from 12.9% in September to 18.9% in October, and is up 13.3 points from July's 5.6% — the largest single-metric shift of any brand in this report. Smith.ai's own valid recommendation coverage (55.8% in July to 49.8% in October, down 6.0 points) is classified as stable rather than a significant baseline move.

Abby Connect recorded the steepest baseline decline in the category, falling 27.0 points from 43.8% in July to 16.8% in October, a significant decline marking a third consecutive month of decline. VoiceNation also recorded a third consecutive month of decline, down 13.0 points from 22.1% to 9.1%.

Seven of the ten most-tracked brands — Abby Connect, AnswerConnect, Davinci Virtual, Moneypenny, Ruby, Specialty Answering Service (SAS), and VoiceNation — are classified as significant decliners against the July baseline. MAP Communications, PATLive, Ruby Receptionists, and Smith.ai are classified as stable.

No brand recorded a significant single-month movement in October; the month was quiet relative to the broader baseline-to-current pattern. That pattern continues to show across-the-board declines from July levels for most tracked brands, even as several brands — including Ruby, Smith.ai, and AnswerConnect — posted small, non-significant month-over-month gains in October.

Each monthly run begins with 800 prompt-surface observations (524 unique questions) across the benchmark's defined AI/search surface universe in October, compared with 800 prompt-surface observations (490 unique questions) in July, 654 prompt-surface observations (440 unique questions) in August, and 800 prompt-surface observations (511 unique questions) in September. Of the October prompts, 800 mentioned a tracked brand or competitor; 330 were relevant and 470 were irrelevant. The public metrics use the 297 observations that survive both qualification stages, down from 319 in September, 392 in August, and up from 267 in July.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• What pricing conflicts did AI platforms produce for call answering services in October?
• Which brands were affected by the highest-severity factual inconsistencies?

The benchmark detected 16 critical or high-severity factual inconsistencies across five AI platforms in October 2026. These conflicts involve pricing claims that cannot all be simultaneously accurate.

Smith.ai

AI platforms provided conflicting information about Smith.ai's monthly starting price across 11 separate high-severity conflicts. When asked "What is the best answering service for small business?", ChatGPT stated the starting price is $300 per month for 30 calls, citing the company's pricing page, while Copilot stated $97.50 for 30 calls. When the same question was posed to ChatGPT and Google AI Overviews, the platforms disagreed again, with ChatGPT claiming approximately $300 per month and Google AI Overviews stating $95 per month, citing third-party comparison sites including FitMyCall and Nextiva.

The inconsistencies extend to different product tiers. When asked "How much does an answering service charge?", Gemini described Smith.ai as having basic starter plans around $100 to $150 per month, while Copilot stated the service starts at $292.50 per month for 30 calls, citing Answering Service Ranked. For AI-specific plans, ChatGPT stated paid plans start at $150 per month citing the Smith.ai AI receptionist pricing page, while Copilot stated $95 per month for AI service and $292.50 per month for live service, citing Appscribed.

A separate conflict involved per-call pricing. When asked "How much does a phone answering service cost?", Gemini stated Smith.ai per-call plans cost around $7.00 to $9.75 per call bundled into monthly tiers of approximately $95 to $300 per month, while Copilot stated the service starts at $255 per month for 20 calls with overages at $12.75 per call, citing VoiceCharm.

AnswerConnect

AI platforms provided conflicting information about AnswerConnect's plan pricing and included minutes across three high-severity conflicts. When asked "How much does AnswerConnect cost?", Gemini stated standard and Plus plans range from $575 to $825 or more per month for 400 to 450 minutes, citing GetAira and OneAIBuild, while Copilot stated the Standard Plan includes 350 minutes for £395 per month, citing the company's UK plans page. The entry plan conflict showed Gemini stating approximately $350 per month for 200 minutes while Copilot stated 150 minutes for £205 per month. The growth plan conflict showed Gemini stating approximately $395 per month for 300 minutes while Copilot stated 250 minutes for £245 per month.

PATLive

AI platforms provided conflicting information about PATLive's monthly starting price. When asked "What is the best phone answering service for small businesses?", ChatGPT stated PATLive starts at approximately $250 per month, citing Smith.ai's comparison page and FitMyCall, while Google AI Mode stated approximately $75 per month, citing GetAira.

Ruby

AI platforms provided conflicting information about Ruby's monthly price and overage rate. When asked "How much does a phone answering service cost?", Gemini stated Ruby entry packages start around $135 to $250 per month for approximately 50 to 100 minutes, citing Vokaro and Wishup, while Copilot stated Ruby Receptionists charges $319 per month for 100 minutes with overages at $3.19 per minute, citing VoiceCharm and OnCallClerk.

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.

August sat between these two months with 654 source prompts, 440 unique questions, and 392 qualified observations. September had 800 source prompts, 511 unique questions, and 319 qualified observations. The October qualified pool of 297 observations is larger than July's 267 but smaller than August's 392 and September's 319.

Benchmark-Level Metrics

September showed a recommendation-shaped share of 41.1% and a valid shortlist share of 59.6%. October's recommendation-shaped share of 58.2% is the highest in the four-month series, while its valid shortlist share of 69.7% sits between July's 82.8% and September's 59.6%.

AI Recommendation Trend

Questions This Section Answers

• Who leads valid recommendation coverage from July to October, and how far ahead is the leader?
• Which brands declined most against the July baseline, and which held stable?

Valid Recommendation Coverage, July to October

Ruby, Smith.ai, and AnswerConnect form a top tier separated by only 6.8 points, with a 32.7-point gap down to fourth-place Abby Connect. No brand recorded a significant single-month movement in October; the current shape of the category reflects the accumulation of several months of broad baseline decline rather than a single isolated event.

What Changed This Month

Questions This Section Answers

• Which brands moved most in October, and which moves were actually classified as significant?
• Why did Smith.ai move ahead of AnswerConnect this month?

Ruby

Ruby's valid recommendation coverage is 56.6% in October, up 5.8 points from 50.8% in September and down 16.1 points from 72.7% in July — a significant decline across the tracked baseline, though the prior-month move itself is not classified as significant. Ruby has posted two consecutive months of coverage improvement, but both moves remain well below the July starting point.

Ruby's raw mention presence is 84.9% in October, compared with 82.5% in September and 87.3% in July. Its top-three rate is 45.1% in October, up from 35.1% in September, and its rank-one rate is 15.2%, up from 10.3% in September. The brand's valid recommendation count is 168 in October, up from 162 in September and down from 194 in July.

The distinction to notice is that Ruby's presence has held near its baseline level while its recommendation placement has strengthened from September to October. The brand remains the category leader, but its top-three and rank-one rates are still below July levels.

Highest-priority diagnostic: Which prompt types and surfaces drove the improvement in Ruby's top-three and rank-one rates from September to October, and which competitor is most often recommended when Ruby is mentioned but not placed first?

Smith.ai

Smith.ai's coverage is 49.8% in October, up 5.9 points from 43.9% in September and down 6.0 points from 55.8% in July — a change not classified as significant over the full series. The prior-month movement is also not classified as significant.

Smith.ai's raw mention presence is 75.8% in October, up from 67.7% in September and 66.7% in July. Its top-three rate is 39.7% in October, up from 30.1% in September, and its rank-one rate rose from 12.9% in September to 18.9% in October — up 13.3 points from July's 5.6%, the largest single-metric shift of any brand in this report. The brand's valid recommendation count is 148 in October, up from 140 in September and down from 149 in July.

Smith.ai is now the second-place brand on coverage, 0.3 points ahead of AnswerConnect and 6.8 points behind Ruby. The distinction to notice is that Smith.ai's overall coverage is essentially flat against baseline, but its rank-one placement has strengthened well beyond its July level — the metric most responsible for its move past AnswerConnect this month.

Highest-priority diagnostic: Which prompt patterns are associated with Smith.ai's improved rank-one placement, and which evidence sources are driving the brand's top-position recommendations?

AnswerConnect

AnswerConnect's coverage is 49.5% in October, up 3.4 points from 46.1% in September and down 22.4 points from 71.9% in July — a significant decline over the full series, though the prior-month movement is not classified as significant. The brand has posted two consecutive months of coverage improvement, but both moves remain non-significant and coverage is still well below its July baseline.

AnswerConnect's raw mention presence is 59.9% in October, down from 63.0% in September and down from 79.8% in July. Its top-three rate is 37.7% in October, up from 34.2% in September, and its rank-one rate is 11.5%, down from 16.6% in September. The brand's valid recommendation count is 147 in October, unchanged from September and down from 192 in July.

AnswerConnect now holds third place, just 0.3 points behind Smith.ai and 7.1 points behind Ruby — a change from September, when AnswerConnect held second place ahead of Smith.ai. The distinction to notice is that AnswerConnect's recommendation frequency stabilized from September to October, but its rank-one rate declined. Its average recommended rank is 2.47 in October, compared with 2.06 in September and 1.96 in July.

Highest-priority diagnostic: Which specific prompt categories account for the decline in AnswerConnect's rank-one rate from September to October, and which competitor is now taking the top recommendation slot in those answers?

Abby Connect

Abby Connect's coverage is 16.8% in October, down 3.9 points from 20.7% in September and down 27.0 points from 43.8% in July — a significant decline. The brand has recorded three consecutive months of coverage decline. The prior-month movement is not classified as significant.

Abby Connect's raw mention presence is 20.5% in October, down from 27.0% in September and down from 47.2% in July. Its top-three rate is 5.7% in October, down from 6.9% in September and down from 21.3% in July. Its rank-one rate is 0.3% in October, down from 1.2% in September. The brand's valid recommendation count is 50 in October, down from 66 in September and down from 117 in July.

The distinction to notice is that Abby Connect's decline is broad-based across presence, top-three, and rank-one metrics. The brand's net sentiment score held near 0.8 across the series.

Highest-priority diagnostic: Which high-intent prompts no longer surface Abby Connect, and which providers are capturing the recommendation credit it lost?

PATLive

PATLive's coverage is 14.8% in October, up 0.7 points from 14.1% in September and up 1.3 points from 13.5% in July — a change not classified as significant. The brand has recorded two consecutive months of coverage improvement. Its raw mention presence is 21.2% in October, up from 19.4% in September and up from 15.7% in July. Its top-three rate is 7.1% in October, up from 5.3% in September and up from 4.1% in July. Its rank-one rate is 1.0% in October, up from 0.3% in September and up from 0.4% in July. The brand's valid recommendation count is 44 in October, down from 45 in September and up from 36 in July.

In a category where seven of ten brands declined significantly from baseline, PATLive's stability and modest gains are the notable pattern.

Highest-priority diagnostic: What is sustaining PATLive's steady coverage improvement while most other tracked brands declined, and does that stability hold across all six surfaces?

Specialty Answering Service (SAS)

Specialty Answering Service (SAS) recorded 11.8% coverage in October, up 1.1 points from 10.7% in September and down 14.0 points from 25.8% in July — a significant decline. The prior-month movement is not classified as significant.

SAS's raw mention presence is 14.1% in October, up from 14.4% in September and down from 28.1% in July. Its top-three rate is 5.1% in October, up from 2.8% in September and down from 12.7% in July. Its rank-one rate is 1.0% in October, up from 0.6% in September and down from 5.2% in July. The brand's valid recommendation count is 35 in October, up from 34 in September and down from 69 in July.

The distinction to notice is that SAS's rank-one rate fell well below its July level even as its top-three rate improved from September to October. Net sentiment eased from 0.9 to 0.8 over the series.

Highest-priority diagnostic: Which surfaces drove the decline in SAS's rank-one placements from July to October, and which competitor is now taking the top recommendation when SAS places lower?

MAP Communications

MAP Communications recorded 11.5% coverage in October, up 2.7 points from 8.8% in September and down 3.5 points from 15.0% in July — a change not classified as significant. Its raw mention presence is 17.2% in October, up from 16.0% in September and down from 20.6% in July. Its top-three rate rose from 2.2% in July to 8.1% in October, and its rank-one rate rose from 0.0% in July to 2.0% in October.

MAP Communications had 34 valid recommendations in October, up from 28 in September and down from 40 in July. Its net sentiment score eased from 0.8 to 0.7 over the series.

Highest-priority diagnostic: Which prompt types drove MAP Communications' improved top-three and rank-one placements, and which surfaces account for the change?

Moneypenny

Moneypenny's coverage is 9.8% in October, up 0.7 points from 9.1% in September and down 22.8 points from 32.6% in July — a significant decline. The prior-month movement is not classified as significant.

Moneypenny's raw mention presence is 15.8% in October, up from 15.0% in September and down from 37.1% in July. Its top-three rate is 7.4% in October, up from 5.3% in September and down from 15.4% in July. Its rank-one rate is 1.7% in October, up from 0.3% in September and roughly level with 1.9% in July. The brand's valid recommendation count is 29 in October, unchanged from September and down from 87 in July.

The distinction to notice is that Moneypenny's coverage stabilized in October, but its absolute recommendation count remains far below July levels. The brand's net sentiment score eased from 0.9 in July to 0.6 in October.

Highest-priority diagnostic: Which surfaces and prompt types drove the decline in Moneypenny's presence from July to October, and what changed in the underlying answer structure that reduced its recommendation frequency?

VoiceNation

VoiceNation's coverage is 9.1% in October, down 2.8 points from 11.9% in September and down 13.0 points from 22.1% in July — a significant decline. The brand has recorded three consecutive months of coverage decline. The prior-month movement is not classified as significant.

VoiceNation's raw mention presence is 11.8% in October, down from 13.8% in September and down from 25.1% in July. Its top-three rate is 3.7% in October, down from 5.3% in September and down from 8.6% in July. Its rank-one rate is 0.3% in October, down from 1.2% in September. The brand's valid recommendation count is 27 in October, down from 38 in September and down from 59 in July.

The distinction to notice is that VoiceNation's decline has been steady across the series, with its presence and recommendation metrics both deteriorating. The brand's net sentiment score held near 0.8 across the series.

Highest-priority diagnostic: Which prompt categories previously surfaced VoiceNation and now do not, and which brands are the primary beneficiaries of that shift?

Davinci Virtual

Davinci Virtual's coverage is 5.7% in October, up 1.3 points from 4.4% in September and down 8.2 points from 13.9% in July — a significant decline. Its raw mention presence is 6.1% in October, up from 7.2% in September and down from 16.1% in July. Its top-three rate is 4.0% in October, up from 0.6% in September and up from 1.1% in July. Its rank-one rate is 1.4% in October, up from 0.0% in September and 0.0% in July.

Davinci Virtual's valid recommendation count is 17 in October, up from 14 in September and down from 37 in July. The absolute counts are small, meaning percentage movements should be read with caution.

Highest-priority diagnostic: Given the small counts, which specific prompt types account for the improvement in top-three and rank-one placements from September to October, and are they concentrated in a single surface?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the qualified observations actually cover?
• What can the benchmark not yet say about pricing and head-to-head comparisons?

In July, August, September, and October, all qualified observations fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters contained zero observations in all four months.

This means the public benchmark can speak to which provider AI systems recommend when a buyer asks for a service, but it cannot yet answer questions about how AI represents pricing, cost, or head-to-head trade-offs. The pricing inconsistencies documented in the conflict alerts section are drawn from a separate diagnostic layer and are not part of the qualified observation set that drives the coverage percentages in this report.

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. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• The October 2026 qualified observation pool of 297 sits between July's 267 and September's 319, and below August's 392. This changing denominator affects all percentage comparisons across the series.
• Small counts for several brands (for example, Davinci Virtual with 17 valid recommendations in October) mean percentage changes can be disproportionately influenced by a small number of observations and should be interpreted with caution.
• The analysis is directional and diagnostic. A month-over-month movement identifies areas worth investigating; it does not by itself establish the cause of the movement.
• The pricing inconsistencies documented in the AI Response Inconsistency Alerts section are drawn from a separate diagnostic layer and are not part of the qualified observation set that drives the coverage percentages.
• The benchmark measures citation and recommendation presence within AI-generated answers; it does not measure overall market share or brand preference in the broader market.

Next Step

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

Ruby's 56.6%, Smith.ai's 49.8%, or AnswerConnect's 49.5% coverage tells you where the brands stand in October. It does not tell you which high-intent prompts those brands are winning, which competitor takes the recommendation when they lose, what attributes AI systems associate with each option, and which external sources are shaping those answers. Those are the questions that sit beneath every percentage point in this report.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's broad movements into a specific, actionable picture for a single brand's position in the AI answer landscape.

Request an AI visibility audit