CiteWorks Studio

Grasshopper AI Market Strategy Report - VoIP Services

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Grasshopper was visible in 37.79% of qualified AI responses in September 2026 but earned valid recommendations in only 28.73%, showing a clear mention-to-recommendation gap.
  • From July to September 2026, Grasshopper posted the largest decline in the benchmark, with valid recommendation coverage falling 7.8 percentage points.
  • The brand’s strongest performance came on Google AI Overviews and ChatGPT, where it already has positive framing and its best recommendation coverage.
  • Grasshopper’s main weakness is shortlist placement: its top-three recommendation rate was 7.22% and its rank-one rate was 2.15%, far behind RingCentral and Nextiva.

Answer Capsule

Grasshopper holds visible but under-recommended status in the VoIP Services category, appearing in 37.79% of qualified AI responses in September 2026 while earning valid recommendations in only 28.73% of them. The brand posted the largest cumulative decline across the July to September 2026 benchmark series, falling 7.8 percentage points in valid recommendation coverage from 36.5% to 28.7%. Its top-three recommendation rate sits at 7.22% and its rank-one rate at 2.15%, leaving it well behind category leaders RingCentral and Nextiva. The clearest opportunity is converting existing presence into recommendation-stage visibility, particularly on Google AI Overviews and ChatGPT where the brand already shows positive framing.

Who This Report Is For

This report is for Grasshopper's marketing, brand, and demand-generation leadership, and for category strategists tracking how AI-generated recommendations are reshaping VoIP and business phone service discovery.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Grasshopper

Category / market studied

VoIP Services

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode)

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

651 qualified observations

Competitors tracked

9

Executive Summary

Questions This Section Answers

  • How large is the gap between Grasshopper's AI presence and its valid recommendation coverage?
  • Which competitors widened their lead over Grasshopper during the July to September 2026 series?
  • What is Grasshopper's clearest opportunity in AI-generated VoIP recommendations?

Grasshopper is visible in AI-generated VoIP recommendations but is not being chosen at the rate its presence would suggest. The brand appeared in 37.79% of qualified observations in September 2026, yet earned a valid recommendation in only 28.73% of them. That gap between raw mention presence and valid recommendation coverage is the defining signal in this report: Grasshopper is being discussed, but it is not consistently being shortlisted.

The benchmark shows Grasshopper posted the largest cumulative decline of any tracked brand across the July to September 2026 series. Valid recommendation coverage fell 7.8 percentage points, from 36.5% in July 2026 to 28.7% in September 2026. Raw mention presence fell 8.4 points over the same period, from 46.2% to 37.8%. The decline in presence was larger than the decline in coverage, which means Grasshopper is appearing in fewer AI answers overall, not simply being placed lower within answers where it already appears.

Sentiment framing remains strongly positive. Grasshopper recorded 192 positive mentions, 54 neutral mentions, and zero negative mentions in September 2026, producing a net sentiment score of 0.7805. That is among the strongest framing profiles in the tracked set. The problem is not how AI systems describe Grasshopper. The problem is how often they include the brand at all, and how rarely they place it in a top-three recommendation slot.

Placement data sharpens the picture. Grasshopper's top-three recommendation rate measured 7.22% in September 2026, while its rank-one rate measured 2.15%. The brand earned 187 valid recommendations across 651 qualified observations, but only 47 of those landed in a top-three position and only 14 placed first. The gap between valid recommendation coverage and top-three placement shows that when Grasshopper is recommended, it is frequently listed as an option rather than positioned as a leading choice.

Platform-level data shows uneven performance. Google AI Overviews produced the strongest single-platform signal, with Grasshopper earning 53 valid recommendations and a 32.72% valid recommendation coverage rate on that surface. ChatGPT followed with 24 valid recommendations and 37.50% coverage. Perplexity was the weakest meaningful surface, with only 8 valid recommendations and 10.00% coverage. Google AI Mode produced 50 valid recommendations at 28.09% coverage, and Copilot produced 22 at 26.19%. Gemini produced 30 valid recommendations at 36.14% coverage but with a much smaller observation base.

The competitive gap is widening. Grasshopper now sits 34.4 percentage points behind Nextiva in valid recommendation coverage, up from 26.5 points in July 2026. The gap to RingCentral grew from 30.5 points to 37.3 points over the same period. Both leaders held relatively steady while Grasshopper declined, which means the brand is losing ground against a stable competitive set rather than against a rising category.

The clearest opportunity is not rebuilding presence from zero. It is converting the presence Grasshopper already has into recommendation-stage visibility. The brand is mentioned in more than a third of qualified observations and carries strongly positive framing. The work ahead is making that presence count at the moment AI systems form a shortlist.

What Grasshopper Is Winning

Questions This Section Answers

  • Which platforms produce Grasshopper's strongest recommendation volume and coverage rate?
  • How does Grasshopper's sentiment framing compare to RingCentral and Nextiva?

Grasshopper's strongest asset in this benchmark is framing quality. The brand recorded zero negative mentions across 651 qualified observations in September 2026, with 192 positive mentions and 54 neutral mentions. A net sentiment score of 0.7805 places Grasshopper among the best-framed brands in the tracked set, ahead of RingCentral at 0.7338 and Nextiva at 0.7385.

Google AI Overviews is Grasshopper's strongest platform by recommendation volume. The brand earned 53 valid recommendations on that surface, the highest count of any platform tracked, with a 32.72% valid recommendation coverage rate and a 6.79% top-three rate. Google AI Overviews also produced Grasshopper's highest rank-one count at 5.

ChatGPT is Grasshopper's strongest platform by coverage rate. The brand earned 24 valid recommendations on ChatGPT against 64 observations, producing a 37.50% valid recommendation coverage rate. That is the highest coverage rate Grasshopper achieved on any single platform in September 2026.

Grasshopper also maintains a meaningful rank-one pocket. The brand earned 14 rank-one recommendations in September 2026, including 5 on Google AI Overviews, 3 on Copilot, 2 on ChatGPT, 2 on Google AI Mode, and 2 on Gemini. That first-position presence is narrow but real, and it shows the brand can win the top slot on specific prompts.

Where Grasshopper Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is the gap between Grasshopper's presence rate and recommendation rate significant?
  • How far behind RingCentral, Nextiva, and Ooma is Grasshopper's top-three recommendation rate?
  • Which platform is effectively a blind spot for Grasshopper?

Grasshopper's clearest gap is recommendation conversion. The brand appeared in 37.79% of qualified observations but earned a valid recommendation in only 28.73% of them. That 9.06-point gap between presence and recommendation means AI systems are mentioning Grasshopper without shortlisting it in a meaningful share of answers.

The top-three gap is wider still. Grasshopper's top-three recommendation rate of 7.22% sits 40.23 percentage points below RingCentral's 55.45% and 39.94 points below Nextiva's 47.16%. Even against Ooma, the third-place brand at 21.97%, Grasshopper trails by 14.75 points. The brand is being recommended, but rarely in the positions that shape a buyer shortlist.

Perplexity is Grasshopper's weakest platform. The brand earned only 8 valid recommendations against 80 observations, producing a 10.00% coverage rate and a 3.75% top-three rate. Perplexity also produced zero rank-one recommendations for Grasshopper. That surface is effectively a blind spot.

The competitive displacement pattern is the most consequential gap. Grasshopper's coverage fell 7.8 points from July to September 2026 while RingCentral and Nextiva held essentially flat. The benchmark identifies Grasshopper as the largest cumulative decliner in the tracked set. The brand is not losing ground because competitors improved. It is losing ground because it is being left out of answers where it previously appeared.

The gap between Grasshopper and the category leaders widened every month in the series. Against Nextiva, the gap grew from 26.5 points in July 2026 to 34.4 points in September 2026. Against RingCentral, it grew from 30.5 points to 37.3 points. That widening pattern suggests the decline is structural rather than a single-month fluctuation.

Biggest Opportunity

Questions This Section Answers

  • Which platforms should Grasshopper prioritize to convert presence into top-three placement?
  • What is the path forward for improving Grasshopper's recommendation-stage visibility?

Grasshopper's biggest opportunity is converting its existing presence into top-three recommendation placement on Google AI Overviews and ChatGPT. These two platforms already produce the brand's strongest coverage rates and its highest rank-one counts. Google AI Overviews alone accounts for 53 of Grasshopper's 187 valid recommendations and 5 of its 14 rank-one placements.

The path forward is not broad visibility expansion. It is targeted correction of the prompts where Grasshopper is mentioned but not shortlisted. The benchmark shows the brand is present in more than a third of qualified observations and carries strongly positive framing. The missing piece is recommendation-stage positioning on the prompts that already surface the brand.

Competitive Landscape

Questions This Section Answers

  • How does Grasshopper's top-three and rank-one performance compare to the category leaders?
  • What does Grasshopper's average recommended rank of 4.47 indicate about its shortlist position?

RingCentral and Nextiva hold recommendation-stage strength in VoIP Services, with Ooma as the clearest third challenger. Grasshopper sits in the middle tier, visible but under-recommended relative to its presence rate.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

RingCentral

55.45%

37.94%

1.63

0.7338

Nextiva

47.16%

9.83%

2.50

0.7385

Ooma

21.97%

6.76%

3.75

0.7798

Dialpad Meetings

10.91%

0.00%

3.97

0.8194

Grasshopper

7.22%

2.15%

4.47

0.7805

Vonage

6.14%

1.08%

4.49

0.5916

8x8

5.84%

0.00%

4.36

0.6550

GoTo Meeting

0.46%

0.15%

5.07

0.8000

Phone.com

0.31%

0.00%

4.80

0.3519

magicJack

0.77%

0.31%

3.00

0.3235

Average recommended rank covers rank-eligible recommendations only.

Grasshopper ranks fifth by top-three rate and fifth by rank-one rate, with an average recommended rank of 4.47 when the brand receives rank credit. The table shows a brand with strong framing and mid-tier placement, positioned behind three competitors with meaningfully higher shortlist rates.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "voip providers" Result: Grasshopper appeared in the answer with positive framing and earned a valid recommendation, contributing to the brand's strongest platform-level coverage rate.

ChatGPT / Brand Recommendation Prompt: "business phone system" Result: Grasshopper was mentioned and recommended, with the brand earning one of its 24 valid ChatGPT recommendations and contributing to a 37.50% platform coverage rate.

Perplexity / Brand Recommendation Prompt: "voip services" Result: Grasshopper received limited placement, with Perplexity producing only 8 valid recommendations for the brand across 80 observations and zero rank-one placements.

Google AI Mode / Brand Recommendation Prompt: "telephone system for small office" Result: Grasshopper appeared with positive framing and earned a valid recommendation, though the brand's top-three rate on this surface remained below its overall coverage rate.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Grasshopper is mentioned but not shortlisted, and identify which competitors take the recommendation slot in those answers.

Phase 2: Recommendation Readiness Plan Prioritize the Google AI Overviews and ChatGPT prompts where Grasshopper already has presence and positive framing, and build a plan to convert that presence into top-three placement.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and structured content that AI systems retrieve when forming VoIP recommendations, with emphasis on the small business and virtual phone use cases where Grasshopper already appears.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer that supports recommendation-stage inclusion, including third-party comparisons, review sources, and category pages that AI systems cite when building shortlists.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Grasshopper's valid recommendation coverage, top-three rate, and rank-one rate month over month against RingCentral, Nextiva, and Ooma to confirm whether the decline stabilizes and reverses.

Why This Matters

AI systems are now forming the buyer shortlist before a prospect ever visits a vendor website. Grasshopper is visible in those answers and carries strongly positive framing, but it is rarely placed in the top three. That means the brand is being considered without being chosen, which is a harder problem than being absent.

The benchmark shows Grasshopper's coverage declined 7.8 points from July to September 2026 while the category leaders held steady. Presence alone is not enough to reverse that pattern. The next move is targeted correction of the prompt, page, and citation layers that determine whether Grasshopper is mentioned or recommended.

Core Metrics

Metric

Value

Mentions

246

Valid recommendations

187

Top 3 recommendation count

47

Rank #1 recommendation count

14

Average recommended rank

4.47

Positive mentions

192

Neutral mentions

54

Negative mentions

0

Raw mention presence rate

37.79%

Valid recommendation coverage

28.73%

Top 3 recommendation rate

7.22%

Rank #1 recommendation rate

2.15%

Net sentiment score

0.7805

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

Questions This Section Answers

  • Why is classified sentiment required before interpreting AI visibility metrics?
  • What is the difference between Grasshopper's share of voice and its valid recommendation coverage?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Grasshopper in September 2026: (192 × 1 + 54 × 0 + 0 × -1) / 246 = 0.7805.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without being recommended, and a positive recommendation is not the same as a neutral reference or a cautionary mention. Counting all mentions as wins is bad measurement.

Share of voice is a diagnostic metric, not a business KPI. Grasshopper's 37.79% presence rate tells you the brand is being discussed. Its 28.73% valid recommendation coverage tells you how often that discussion turns into a shortlist position. Those are different signals, and they require different responses.

Classified sentiment is required before interpreting AI visibility. Grasshopper's 0.7805 net sentiment score shows the brand is framed positively when it appears. The challenge is not framing quality. It is recommendation frequency and placement.

Sentiment by Platform

Questions This Section Answers

  • Which platforms show the strongest and weakest sentiment framing for Grasshopper?
  • Why do Copilot and Perplexity show lower sentiment scores despite high mention counts?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

62

55

7

0

0.8871

Strongest public recommendation signal

ChatGPT

27

24

3

0

0.8889

Positive, strongest coverage rate

Copilot

41

23

18

0

0.5610

Present, but not recommendation-led

Google AI Mode

63

51

12

0

0.8095

Present as context, moderate recommendation

Gemini

39

31

8

0

0.7949

Positive, but sample too small

Perplexity

14

8

6

0

0.5714

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Grasshopper's AI recommendation visibility in the VoIP Services category, produced from the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window covers September 2026, with comparison data from July 2026 and August 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The September 2026 benchmark analyzed 651 qualified observations drawn from 800 source prompt-surface observations.
  5. The competitor universe includes ten tracked brands: RingCentral, Nextiva, Ooma, Dialpad Meetings, Vonage, Grasshopper, 8x8, GoTo Meeting, Phone.com, and magicJack.
  6. All qualified observations fell into the Brand Recommendation cluster, covering discovery and consideration queries. The public benchmark did not capture qualified observations in the Pricing & Value or Multi-Brand Comparison clusters.
  7. A mention is counted when Grasshopper appears in an AI response to a qualified prompt, regardless of placement or framing.
  8. A valid recommendation is counted when Grasshopper receives an explicit recommendation in an AI response, as marked by the benchmark dataset.
  9. Top-three rate measures the share of qualified observations where Grasshopper appears in a top-three recommendation position. Rank-one rate measures the share where Grasshopper is the first recommendation.
  10. Average recommended rank covers rank-eligible recommendations only. Grasshopper's average recommended rank of 4.47 reflects the brand's position when it receives rank credit.
  11. Net sentiment score is calculated as (positive mentions minus negative mentions) divided by total mentions, ranging from -1 to +1. This is framing quality, not customer sentiment.
  12. Source presence in the benchmark is evidence about the information environment. It is not automatically proof that a source caused a recommendation. The benchmark does not measure market share, revenue attribution, organic search ranking, or causality from metric movement alone.

See How AI Is Recommending Your Brand

The public benchmark shows where Grasshopper is winning and losing in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, competitors, and evidence sources behind those results, and turns the benchmark signal into a prioritized plan for recommendation-stage visibility.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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.
What Is Citation Architecture?
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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