Dialpad Meetings AI Market Strategy Report - VoIP Services

Answer Capsule

Dialpad Meetings holds 36.1% valid recommendation coverage in the September 2026 VoIP Services benchmark, ranking fourth of ten tracked brands. The company is visible but under-recommended at the top of the shortlist: it earns a 10.9% top-three rate but a 0.0% rank-one rate, meaning AI systems surface it as an option but never as the first choice. Its clearest strength is a 0.82 net sentiment score, the highest in the tracked set, and its clearest gap is first-position placement across every platform measured.

Who This Report Is For

This report is written for Dialpad Meetings marketing, product marketing, and revenue leadership, and for category analysts tracking how AI systems shortlist VoIP and business communications providers.

Report Card

Executive Summary

Dialpad Meetings sits in the middle of the VoIP Services recommendation field. The September 2026 benchmark recorded 36.1% valid recommendation coverage across 651 qualified observations, fourth behind RingCentral (66.0%), Nextiva (63.1%), and Ooma (55.6%). The company is present in 45.9% of qualified observations, so it is being mentioned in roughly half of the answers where a VoIP provider is discussed, but it converts only part of that presence into a recommendation.

The gap between presence and recommendation is the central story. Dialpad Meetings appears in 299 observations and receives 235 valid recommendations, a conversion pattern that is stronger than Vonage or Grasshopper but far behind the top three. The more consequential number is placement: the top-three rate is 10.9% and the rank-one rate is 0.0%. Across the entire September 2026 dataset, Dialpad Meetings was never recorded as the first recommendation in any qualified observation.

Sentiment is the company's strongest signal. Net sentiment measured 0.8194, the highest of any tracked brand, ahead of GoTo Meeting (0.8), Ooma (0.7798), and Grasshopper (0.7805). Positive mentions totaled 245 against 54 neutral and zero negative. When AI systems do discuss Dialpad Meetings, the framing is favorable.

The strongest platform signal is Google AI Mode, where Dialpad Meetings earned 77 valid recommendations and a 43.3% valid recommendation coverage rate, the highest of any platform measured for the brand. Google AI Overviews followed at 31.5% coverage. The weakest platform signal is Copilot, where coverage measured 41.7% but top-three placement was only 8.3%, and Gemini, where coverage was 28.9% with a 14.5% top-three rate.

The clearest cluster gap is structural. All 651 qualified observations in September 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations in the public benchmark, so the current data describes discovery-stage recommendation behavior only. Dialpad Meetings' performance on price-sensitive or head-to-head comparison prompts is not measured in this dataset.

The clearest competitive gap is against Ooma. Ooma holds 55.6% coverage and a 22.0% top-three rate, roughly double Dialpad Meetings' top-three rate, despite a lower net sentiment score. Ooma converts visibility into shortlist placement more effectively, and that difference is the most actionable finding in the report.

What Dialpad Meetings Is Winning

Questions This Section Answers

• Which platform produces the strongest recommendation signal for Dialpad Meetings?
• Where does Dialpad Meetings' sentiment and presence advantage over lower-tier competitors come from?

Dialpad Meetings holds the highest net sentiment score in the tracked set at 0.8194, with 245 positive mentions, 54 neutral, and zero negative. No other brand in the benchmark combined this volume of positive framing with zero negative mentions.

The company's strongest platform is Google AI Mode. Across 178 observations on that surface, Dialpad Meetings earned 77 valid recommendations, a 43.3% coverage rate, and a 14.6% top-three rate. This is the single largest source of recommendation credit for the brand and the platform where its shortlist position is most competitive.

Google AI Overviews is the second strongest surface, with 51 valid recommendations across 162 observations and a 31.5% coverage rate. Together, the two Google AI surfaces account for the majority of Dialpad Meetings' recommendation volume.

The company also shows a meaningful presence advantage over lower-tier competitors. At 45.9% raw mention presence, Dialpad Meetings appears in more AI answers than Grasshopper (37.8%), 8x8 (30.7%), and the bottom three brands combined. Its visibility base is real.

Where Dialpad Meetings Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Dialpad Meetings have a zero rank-one rate across every platform measured?
• How does Ooma convert visibility into top-three placement more effectively than Dialpad Meetings?
• Where is Dialpad Meetings being included in AI answers but placed below the leaders?

The defining gap is first-position placement. Dialpad Meetings recorded a 0.0% rank-one rate in September 2026, meaning that across 651 qualified observations, no AI system named it as the first recommended VoIP provider. RingCentral recorded 37.9%, Nextiva 9.8%, Ooma 6.8%, Grasshopper 2.1%, and even magicJack recorded 0.3%. Dialpad Meetings is the only brand in the top seven by coverage with a zero rank-one rate.

The second gap is top-three conversion. Dialpad Meetings earns 235 valid recommendations but only 71 top-three placements, a 30.2% conversion rate from recommendation to shortlist position. Ooma converts 362 recommendations into 143 top-three placements, a 39.5% rate, and Nextiva converts 411 into 307, a 74.7% rate. Dialpad Meetings is being recommended, but it is being recommended lower in the list than its peers.

The third gap is platform inconsistency. On Copilot, Dialpad Meetings earns a 41.7% coverage rate but only an 8.3% top-three rate. On Gemini, coverage is 28.9% with a 14.5% top-three rate. On Perplexity, coverage is 31.3% with a 16.3% top-three rate. The pattern is consistent: the brand is included in the answer set but placed below the leaders on every surface except Google AI Mode, where its top-three rate reaches 14.6%.

The fourth gap is competitive displacement by Ooma. Ooma holds 55.6% coverage and 22.0% top-three placement against Dialpad Meetings' 36.1% and 10.9%. Ooma's net sentiment is slightly lower at 0.7798, so the difference is not framing quality. It is shortlist position. Where both brands appear, Ooma is more often placed in the top three.

Biggest Opportunity

Questions This Section Answers

• Which two surfaces offer the largest conversion opportunity for moving Dialpad Meetings into top-three placement?
• What differentiation signals does Dialpad Meetings need to be named ahead of Ooma or Vonage?

The single biggest opportunity is converting existing recommendation volume into top-three placement on Google AI Mode and Google AI Overviews. These two surfaces already account for 128 of Dialpad Meetings' 235 valid recommendations, and Google AI Mode already shows a 14.6% top-three rate, the highest of any platform for the brand. The gap between 43.3% coverage and 14.6% top-three placement on that surface is the largest single conversion opportunity in the dataset.

Closing that gap requires the answer layer to carry clearer differentiation signals: what Dialpad Meetings is best for, who it is best for, and why it should be named before Ooma or Vonage in a recommendation list. The current data suggests AI systems have enough evidence to include the brand but not enough structured, comparison-ready evidence to place it first.

Competitive Landscape

Questions This Section Answers

• How does Dialpad Meetings rank against the other VoIP providers by top-three and rank-one rate?
• What separates Ooma's shortlist position from Dialpad Meetings' despite a lower sentiment score?

RingCentral and Nextiva hold the strongest recommendation-stage positions in VoIP Services, with Ooma as the clearest third. Dialpad Meetings sits fourth by coverage but seventh by top-three rate, which places it in the visible-but-under-recommended tier alongside Vonage and Grasshopper.

Average recommended rank covers rank-eligible recommendations only.

Dialpad Meetings ranks fourth by top-three rate and holds the highest sentiment score in the table, but its 0.00% rank-one rate and 3.97 average recommended rank show that its recommendation credit is concentrated in lower positions. The distance to Ooma in top-three rate, 10.91% against 21.97%, is the clearest competitive gap in the table.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "voip phone service" Result: Dialpad Meetings was recommended in 43.3% of Google AI Mode observations, its strongest platform, but appeared in the top three in only 14.6%.

Copilot / Brand Recommendation Prompt: "virtual office phone answering service" Result: Dialpad Meetings earned a 41.7% coverage rate on Copilot but a top-three rate of only 8.3%, showing inclusion without shortlist placement.

ChatGPT / Brand Recommendation Prompt: "telephone system for small office" Result: Dialpad Meetings received 23 valid recommendations across 64 ChatGPT observations, a 35.9% coverage rate, with no rank-one placements.

Perplexity / Brand Recommendation Prompt: "small business phone" Result: Dialpad Meetings earned a 31.3% coverage rate and a 16.3% top-three rate on Perplexity, with no rank-one placements recorded.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every qualified prompt where Dialpad Meetings is mentioned but not placed in the top three, and identify which competitor takes the shortlist slot in each case.

Phase 2: Recommendation Readiness Plan Prioritize the Google AI Mode and Google AI Overviews surfaces where recommendation volume is already highest, and define the differentiation signals needed to move from inclusion to first position.

Phase 3: Owned Answer Layer Buildout Build comparison-ready, extractable content that states clearly what Dialpad Meetings is best for, who it serves, and how it differs from Ooma, Vonage, and RingCentral on the prompts where it currently loses placement.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems retrieve from, including third-party comparison pages, review sources, and category references that support first-position framing.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track top-three rate and rank-one rate by platform and cluster each month, with the specific goal of moving Dialpad Meetings off a 0.0% rank-one rate on at least one major surface.

Why This Matters

AI systems are now forming the buyer shortlist before a prospect ever visits a vendor site. Dialpad Meetings is being included in that shortlist conversation, but it is rarely being named first. In a category where buyers often act on the first two or three recommendations, a 0.0% rank-one rate and a 10.9% top-three rate mean the brand is present at the decision moment without being chosen at it.

The fix is not more visibility. Dialpad Meetings already appears in 45.9% of qualified observations and holds the strongest sentiment score in the category. The fix is targeted correction of the prompt, page, and citation layers so that AI systems have clear, structured, comparison-ready evidence for placing Dialpad Meetings ahead of Ooma and Vonage when a buyer asks which VoIP provider to choose.

Core Metrics

Sentiment Score

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

For Dialpad Meetings in September 2026: (245 × 1 + 54 × 0 + 0 × -1) / 299 = 0.8194.

This matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI answers and still lose the recommendation if those mentions are neutral references, cautionary notes, or comparison anchors. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement.

Dialpad Meetings' 0.8194 score is the highest in the tracked set, which tells a specific story: when AI systems discuss the brand, the framing is favorable. The problem is not what AI systems say about Dialpad Meetings. The problem is how often they say it first, and to whom. Classified sentiment is required before interpreting AI visibility, and in this case it shows a brand with strong framing and weak placement.

Sentiment by Platform

Methodology

1. This report is a benchmark-based AI market strategy analysis for Dialpad Meetings in the VoIP Services category, produced from the September 2026 LLM Authority Index AI Market Discovery dataset.
2. The reporting window is September 2026, with July 2026 and August 2026 used as comparison periods where the source benchmark provides them.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six recorded qualified observations in September 2026.
4. The September 2026 run began with 800 prompt-surface observations and produced 651 qualified observations after qualification. August 2026 produced 626 qualified observations and July 2026 produced 587.
5. The competitor universe contains ten tracked brands: RingCentral, Nextiva, Ooma, Dialpad Meetings, Vonage, Grasshopper, 8x8, GoTo Meeting, Phone.com, and magicJack.
6. One public high-intent cluster was qualified in September 2026: Brand Recommendation, covering discovery and consideration queries. The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations in the public benchmark.
7. Stage 0 extraction produced the prompt-level observations that retain the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is counted when a tracked brand appears in a qualified observation, regardless of placement or framing.
9. A valid recommendation is counted when the dataset marks the brand as a valid recommendation, not merely a mention, neutral reference, or comparison anchor.
10. Top-three rate and rank-one rate are calculated within the 651 qualified observations, not the 800 raw prompts. Average recommended rank covers rank-eligible recommendations only.
11. The public benchmark does not measure market share, revenue attribution, organic search ranking, social mention volume, private channels, or causality from a metric movement alone.
12. The unique question count for September 2026 was 534. The public version does not expose a per-prompt breakdown beyond the cluster-level prompt examples included in the dataset.

See Where AI Is Recommending Your Brand

The public benchmark shows where Dialpad Meetings is winning and losing at the category level. A company-level AI visibility audit maps the specific prompts, competitors, surfaces, and evidence sources behind those numbers, and turns the 0.0% rank-one rate into a prioritized plan for first-position placement.