How AI Search Is Recommending VoIP Services: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
13 minutes read

Key Takeaways

  • RingCentral led October 2026 with 73.5% valid recommendation coverage, and its top-three and rank-one rates also increased.
  • Nextiva gained coverage and top-three placement, but pricing claims for its plans conflicted across AI platforms.
  • Grasshopper declined for three straight months, with mention loss outpacing its drop in recommendation coverage.
  • Phone.com fell to 0.0% coverage in October, while Phone appeared at a small base with 1.4% coverage.

Executive Summary

RingCentral extended its lead in AI search recommendations for VoIP services, holding 73.5% valid recommendation coverage in October 2026, up 6.5 points from 67.0% in July 2026. The gap to the next brand, Nextiva at 68.9%, widened slightly to 4.6 points as both leaders moved up together.

The strongest riser over the series is RingCentral, which combined a 6.5 point coverage gain with a 10.8-point rise in top-three rate and a rank-one rate that rose 6.0 points to 44.5%. Nextiva also posted a significant gain, up 5.9 points from 63.0% in July to 68.9% in October. Phone rose 1.4 points to 1.4% on a small base.

The sharpest declines over the same period sit in the middle and lower tiers. Grasshopper fell 8.7 points from 36.5% in July to 27.8% in October, a significant decline that extended across three consecutive months. Phone.com fell 5.8 points from 5.8% to 0.0% and recorded no valid recommendations in October.

Against the prior month, the category shifted. RingCentral rose 7.5 points from September, Nextiva rose 5.8 points, and 8x8 rose 6.1 points, all above normal variation. The leadership position was already held by RingCentral; what changed is the size of the lead and the wider spread between the top two and the brands below them.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In July 2026, those 800 prompts contained 507 unique questions; 800 mentioned a tracked brand or competitor, 791 were relevant and 9 were irrelevant, and the public metrics used the 587 qualified observations. In October 2026, the same 800 prompts contained 534 unique questions; 800 mentioned a tracked brand or competitor, 770 were relevant and 30 were irrelevant, and the public metrics used the 633 qualified observations. August and September 2026 followed the same funnel structure, with 626 and 651 qualified observations respectively.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%20%40%60%80%Jul 2026Aug 2026Sep 2026Oct 2026
  • RingCentral73.5%
  • Nextiva68.9%
  • Ooma56.9%
  • Dialpad Meetings38.9%
  • Vonage34.0%
  • Grasshopper27.8%
  • 8x824.8%
  • GoTo Meeting5.5%
  • magicJack3.5%
  • Phone1.4%
  • Phone.com0.0%

Key Findings

Signal

October 2026 finding

Category leader

RingCentral at 73.5% valid recommendation coverage, up 6.5 points from July 2026

Largest riser among challengers

Nextiva up 5.9 points from 63.0% in July to 68.9% in October

Sharpest significant decliner

Grasshopper down 8.7 points from 36.5% in July to 27.8% in October

Widening gap

Grasshopper now 45.7 points behind RingCentral, up from 30.5 points in July

Movement this month

RingCentral, Nextiva, 8x8, Phone, and Phone.com all moved beyond normal variation

Qualified surface breadth

All six AI surface families represented in October 2026

AI Response Inconsistency Alerts

Three critical or high-severity factual inconsistencies were detected across three AI platforms in October 2026. All three involve conflicting pricing claims, and all three centre on Nextiva.

Nextiva

AI platforms provided conflicting information about the monthly price for Nextiva's Core plan. When asked "Is Nextiva a good phone service?", Google AI Mode stated that Core costs $23 to $30 per user per month, while ChatGPT stated that Core starts at $15 per user per month on annual small-business pricing. Google AI Mode cited the company's blog reviews page, Business.com, and Crazy Egg; ChatGPT cited the company's pricing page, G2, and Capterra. Flagged sources included the company's pricing page, which displayed "$15/user/mo" alongside a $23 figure, and a Grasshopper comparison page stating "Core Plan: From $15/user/month (billed annual)."

Responses also differed on Nextiva's overall monthly price. When asked "Which is the best VoIP company?", Gemini stated a starting price of approximately $23 per user per month, while ChatGPT stated that Core pricing starts at $15 per user per month when billed annually and that Engage is $25 per user per month. Gemini cited withallo.com, Crazy Egg, and PCMag; ChatGPT cited RingCentral's plans and pricing page, the company's small-business VoIP product page, and Zoom's VoIP phone page. Flagged sources included a Crazy Egg page citing "$15 per user/mo" and the company's own small-business VoIP page showing both a $15 and a $23 figure.

AI platforms also provided conflicting information about the monthly price for Nextiva's Engage plan. When asked "Is Nextiva a good phone service?", Google AI Mode stated that Engage costs $50 to $55 per user per month, while ChatGPT stated that Engage costs $25 per user per month. Google AI Mode cited the company's blog reviews page, Business.com, and Crazy Egg; ChatGPT cited the company's pricing page, G2, and Capterra. Flagged sources included a Grasshopper comparison page stating "Engage Plan: From $25/user/month (billed annual)" and the company's pricing page, which displayed "$25/user/mo" alongside a $50 figure.

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.

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompts run across AI/search surfaces

Unique questions

507

534

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts naming at least one tracked brand

Relevant prompts

791

770

Prompts relevant to the VoIP services category

Irrelevant prompts

9

30

Prompts filtered out as off-topic

Qualified benchmark observations

587

633

Public denominator for all brand metrics

Qualified surface breadth

6

6

AI surface families with qualified observations

The qualified observation count moved from 587 in July to 633 in October, with August at 626 and September at 651. The eligible set peaked in September before settling in October, and the irrelevant count rose to 30 in October from 9 in July.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

587

633

+46

Companies tracked

10

10

No change

Recommendation-shaped answer share

45.7%

61.3%

Up 15.6 points

Valid recommendation shortlist share

69.8%

78.4%

Up 8.6 points

Category leader by coverage

RingCentral

RingCentral

No change

The recommendation-shaped answer share moved sharply across the series, from 45.7% in July to 40.3% in August, then 45.3% in September before climbing to 61.3% in October. The valid recommendation shortlist share peaked at 78.4% in October after ranging between 68.0% and 69.8% across the prior three months.

AI Recommendation Trend

Questions This Section Answers

  • Who holds the top positions in AI recommendations for VoIP services, and how did the July-to-October gap change?
  • Which VoIP brands gained or lost the most recommendation coverage over the series?

Leaders Pull Away From a Thinning Middle

RingCentral and Nextiva hold the top two positions by valid recommendation coverage, with Ooma in third. The gap between the leaders and the mid-tier widened this month as RingCentral and Nextiva each posted significant gains while most brands below them held flat or declined.

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

RingCentral

67.0%

73.5%

Up 6.5 points

1st

Nextiva

63.0%

68.9%

Up 5.9 points

2nd

Ooma

58.8%

56.9%

Down 1.9 points

3rd

Dialpad Meetings

40.2%

38.9%

Down 1.3 points

4th

Vonage

35.8%

34.0%

Down 1.8 points

5th

Grasshopper

36.5%

27.8%

Down 8.7 points

6th

8x8

24.7%

24.8%

Up 0.1 points

7th

GoTo Meeting

4.8%

5.5%

Up 0.7 points

8th

magicJack

3.9%

3.5%

Down 0.4 points

9th

Phone

—

1.4%

New in October

10th

Phone.com

5.8%

0.0%

Down 5.8 points

11th

Over the July to October series, both significant gains were concentrated at the top. RingCentral and Nextiva each moved beyond normal month-to-month variation, while the category-level change below them came from the combination of several smaller movements and one significant decline, Grasshopper.

What Changed This Month

Questions This Section Answers

  • What drove RingCentral's wider lead in October, and did mention presence or recommendation strength matter more?
  • How did Nextiva's coverage gain differ from its top-three placement, and did pricing inconsistencies appear in those answers?
  • Where did Grasshopper lose the most ground, and did it drop out of mentions or just rank lower when mentioned?

RingCentral: Widening lead on coverage, placement, and rank-one

RingCentral's valid recommendation coverage rose 6.5 points from 67.0% in July 2026 to 73.5% in October 2026, a significant gain over the full series. Against the prior month, coverage rose 7.5 points from 66.0% in September, also significant.

In absolute terms, RingCentral earned 465 valid recommendations in October 2026 across 633 observations, up from 393 of 587 in July. Its top-three rate rose 10.8 points from 56.7% to 67.5%, and its rank-one rate rose 6.0 points from 38.5% to 44.5%, both significant over the series.

The distinction to notice: RingCentral's gain is not just presence. Raw mention presence rose only 1.5 points to 95.4%, within normal variation. The movement is in recommendation strength: the brand is being converted from mention to top-three and rank-one placement at higher rates than in July.

Highest-priority diagnostic: Which prompt categories flipped from lower placement to rank-one, and are those same prompts where competing brands lost ground?

Nextiva: Significant coverage gain with top-three relocation

Nextiva's valid recommendation coverage rose 5.9 points from 63.0% in July 2026 to 68.9% in October 2026, a significant gain over the series. Against the prior month, coverage rose 5.8 points from 63.1% in September, also significant.

In absolute terms, Nextiva earned 436 valid recommendations in October 2026 across 633 observations, up from 370 of 587 in July. Its raw mention presence rose 4.5 points to 88.5%, and its top-three rate rose 8.0 points from 49.2% to 57.2%, both significant. Its rank-one rate rose 1.1 points to 11.7%, within normal variation.

The distinction worth noting: Nextiva closed the coverage gap to RingCentral slightly but widened its top-three gap. Coverage moved from 4.0 points behind RingCentral in July to 4.6 points behind in October, while Nextiva's top-three rate, at 57.2%, remains 10.3 points below RingCentral's 67.5%. Nextiva is recommended more often; RingCentral is recommended first more often.

Highest-priority diagnostic: Which prompts moved Nextiva into recommendations that previously excluded it, and does the pricing inconsistency documented above appear in any of those answers?

Grasshopper: Three-month decline with mention loss outpacing coverage

Grasshopper's valid recommendation coverage fell 8.7 points from 36.5% in July 2026 to 27.8% in October 2026, a significant decline. The fall continued in October, down 0.9 points from 28.7% in September, within normal variation for that single month but part of a three-month downward streak.

In absolute terms, Grasshopper earned 176 valid recommendations in October 2026 across 633 observations, down from 214 of 587 in July. Its raw mention presence fell 12.2 points from 46.2% to 34.0%, a significant decline. Its rank-one rate rose 1.5 points to 3.2% over the series.

The distinction that matters: Grasshopper is being named first somewhat more often in the answers that still include it, but it is being left out of far more answers overall. The presence decline is much larger than the coverage decline, which means the brand is losing ground at the mention stage, before recommendation placement is even applied.

Highest-priority diagnostic: Which prompt categories stopped mentioning Grasshopper, and which competitor appears in the answers where Grasshopper is now absent?

Phone.com: Coverage falls to zero, Phone enters

Phone.com's valid recommendation coverage fell 5.8 points from 5.8% in July 2026 to 0.0% in October 2026, a significant decline. In October 2026 the brand recorded no valid recommendations across 633 observations, down from 34 of 587 in July. Its raw mention presence fell from 10.1% in July to no qualified observations in October.

Against this, a brand listed in the benchmark as Phone entered the coverage table in October 2026 at 1.4%, up 1.4 points from a baseline of 0.0% in July, a significant gain on a small base. In absolute terms, Phone earned 9 valid recommendations in October 2026 across 633 observations, with 16 brand-presence observations.

The distinction worth flagging: these appear to be separate entries in the benchmark rather than a rename or a transfer. The category now tracks both, and Phone.com's decline has not been offset by Phone's appearance at the same scale. Both operate on small observation counts and should be read with that context.

Highest-priority diagnostic: For Phone.com, is the zero-coverage month a one-month reset or the end of a longer presence decline? For Phone, is the October entry the start of a durable presence or a single-month appearance on a small base?

8x8: Coverage recovers, top-ten presence does not

8x8's valid recommendation coverage rose 0.1 points from 24.7% in July 2026 to 24.8% in October 2026, within normal variation over the series. Against the prior month, however, coverage rose 6.1 points from 18.7% in September, a significant gain.

In absolute terms, 8x8 earned 157 valid recommendations in October 2026 across 633 observations, up from 122 of 651 in September and roughly level with 145 of 587 in July. Its raw mention presence fell 1.0 point to 34.6% over the series but rose 3.9 points against September.

The distinction to notice: 8x8's coverage has returned to its July level, but the composition has shifted. Top-three rate rose 0.9 points to 6.5% over the series while top-ten rate fell 1.2 points to 23.4%, suggesting the brand is more concentrated in higher placements when it appears but appearing in fewer answers overall. The single-month rebound from September should be read against the earlier September drop.

Highest-priority diagnostic: Which surfaces drove the September dip and the October recovery, and are the same prompts involved in both?

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters did the October qualified observations actually cover?
  • What pricing, value, or head-to-head comparison questions can the public VoIP benchmark not settle?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts seeking a recommended VoIP provider

Which brands earn the explicit nod when a buyer asks "what should I use?"

Pricing & Value

Prompts about cost, plans, and value comparison

Does the benchmark capture who wins on price-sensitive questions?

Multi-Brand Comparison

Prompts comparing two or more providers head to head

Which brand is preferred when options are placed side by side?

In October 2026, the 633 qualified observations fell into the Brand Recommendation cluster. The public benchmark did not capture qualified observations in the Pricing & Value or Multi-Brand Comparison clusters. The current metrics describe which brands AI systems recommend for VoIP services, but they do not yet answer which brand wins on price, value, or head-to-head comparison at the qualified-observation level.

The pricing inconsistencies documented in the AI Response Inconsistency Alerts section show that pricing content does appear in AI answers, but those answers sit outside the qualified recommendation set and are not reflected in the coverage figures. Questions about which brand is cheaper, which plan offers better value, or which provider wins a specific head-to-head remain outside what the public coverage metrics can settle, and require a prompt-level analysis.

Brand Opportunity Summary

Questions This Section Answers

  • Which VoIP brands show the strongest coverage signals, and which need attention?
  • What prompt or evidence gap matters most for brands like RingCentral, Nextiva, Grasshopper, or Phone.com?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

RingCentral

73.5%

Significant coverage, top-three, and rank-one gains over the series

Is the lead being contested in any prompt category, or is it now settled across the board?

Nextiva

68.9%

Significant coverage and presence gains; top-three rate up 8.0 points

Does the documented pricing inconsistency appear in any of the answers where Nextiva gained?

Ooma

56.9%

Coverage down 1.9 points, not significant

Is Ooma holding presence while recommendation share gently compresses?

Dialpad Meetings

38.9%

Coverage down 1.3 points from July, up 2.8 points from September

Which surfaces drove the September-to-October rebound?

Vonage

34.0%

Coverage down 1.8 points, top-three up 2.1 points

Is the top-three lift concentrated in a small set of prompts, and does it hold next month?

Grasshopper

27.8%

Significant coverage and presence decline across three months

Which prompts stopped mentioning Grasshopper, and which competitor replaced it?

8x8

24.8%

Coverage flat over the series, sharp September-to-October recovery

Which surfaces drove the September dip and the October recovery?

GoTo Meeting

5.5%

Coverage up 0.7 points on a small base

Is the October gain a stabilization or noise on very few observations?

magicJack

3.5%

Coverage down 0.4 points on a small base; sentiment at 0.5

Are the negative mentions concentrated in specific evidence sources?

Phone

1.4%

First qualified coverage in October on a small base

Is the October entry durable, or a single-month appearance?

Phone.com

0.0%

Significant decline from 5.8% in July to 0.0% in October

Is the zero-coverage month a reset or the end of a longer presence decline?

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.

The AI Response Inconsistency Alerts in this report draw from cross-platform prompt responses and the sources those platforms cited. Conflicting figures across platforms do not by themselves establish which figure is correct, nor do they establish which source is authoritative.

About This Benchmark

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

Report-Specific Interpretation Notes

  • Small-count movement: Phone, magicJack, GoTo Meeting, and Phone.com operate on small absolute counts; their percentage movements should be read with that context in mind.
  • Qualified denominator vs raw collection: all brand-level percentages are calculated within the 633 qualified observations, not the 800 raw prompts.
  • Directional analysis: movement across the July to October series 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.

Beneath the aggregate percentage sit specific questions: which high-intent prompts are won, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. For RingCentral and Nextiva, the diagnosis requires knowing which prompts flipped into stronger placement. For Grasshopper and Phone.com, it requires knowing which prompts dropped out and what replaced them.

The public percentage cannot identify the prompts, competitors, or sources causing the result. A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns a benchmark signal into an actionable plan.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
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Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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