Dialpad Meetings AI Visibility Market Strategy Report - Web Conferencing

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Dialpad Meetings has positive sentiment in AI answers, with 51 positive mentions and no negative mentions.
  • The brand appears in 17.49% of qualified observations but reaches the top three in only 3.21%.
  • Copilot is the strongest platform for Dialpad Meetings, with its highest valid recommendation coverage rate.
  • The main opportunity is turning favorable mentions into shortlist placement through stronger evidence and comparison content.

Answer Capsule

Dialpad Meetings holds a small but real position in AI-generated web conferencing recommendations, with 14.58% valid recommendation coverage in October 2026. The brand is visible in 17.49% of qualified observations but converts to a valid recommendation in only 14.58% of them, and it reaches the top three in just 3.21% of observations. Its clearest win is a strong sentiment profile with zero negative mentions and a 0.85 net sentiment score. Its clearest weakness is that it almost never reaches first-choice recommendation status, holding a rank-one rate of 0.58%. The biggest opportunity is closing the gap between presence and recommendation placement in the consideration-stage cluster where all qualified observations sit.

Who This Report Is For

This report is for Dialpad Meetings marketing, product marketing, and revenue leadership teams who need to understand how AI systems position the brand against Zoom, Google Meet, RingCentral, and Cisco Webex App at the moment buyers ask for a web conferencing recommendation.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Dialpad Meetings

Category / market studied

Web Conferencing

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

3 (1 with sufficient coverage, 2 with no data)

AI observations analyzed

343 qualified observations from 800 prompt-surface observations

Competitors tracked

9

Executive Summary

Dialpad Meetings is visible in AI-generated web conferencing answers but is rarely recommended as a primary option. The brand appeared in 60 of 343 qualified observations in October 2026, a raw mention presence rate of 17.49%. It converted to a valid recommendation in 50 observations, a valid recommendation coverage rate of 14.58%. That places Dialpad Meetings seventh among the ten tracked brands in the category.

The brand's sentiment profile is a genuine strength. Of its 60 mentions, 51 were positive, 9 were neutral, and none were negative. The net sentiment score of 0.85 is among the highest in the tracked set, behind only ClickMeeting at 0.93 and Cisco Webex App at 0.90. AI systems frame Dialpad Meetings favorably when they mention it.

The gap between presence and recommendation placement is the central issue. Dialpad Meetings reached a top-three recommendation position in only 11 observations, a top-three rate of 3.21%. It was the first recommendation in just 2 observations, a rank-one rate of 0.58%. The brand is mentioned, and mentioned positively, but it is not being shortlisted at the rate its presence would suggest.

The strongest platform signal for Dialpad Meetings is Copilot, where the brand reached a 26.09% valid recommendation coverage rate and a 2.90% top-three rate. The weakest platform signal is Gemini, where the brand reached only 17.95% valid recommendation coverage and a 7.69% top-three rate, though the Gemini sample is small. ChatGPT produced the highest single rank-one placement count for the brand, with one observation placing Dialpad Meetings first.

All 343 qualified observations in October 2026 fell into the Brand Recommendation cluster. The benchmark contains no qualified observations in the Pricing and Value or Multi-Brand Comparison clusters, which means the public data cannot yet show how Dialpad Meetings performs in cost-sensitive or head-to-head comparison prompts. That absence is itself a finding: the current prompt universe is weighted toward direct recommendation, and Dialpad Meetings is losing ground in exactly that context.

The clearest opportunity is to convert the brand's positive framing into shortlist placement. Dialpad Meetings is already being mentioned favorably. The next step is ensuring that when AI systems assemble a recommendation shortlist, the brand appears in the top three rather than as a secondary reference.

What Dialpad Meetings Is Winning

Questions This Section Answers

  • Where does Dialpad Meetings show its strongest recommendation signal across AI platforms?
  • Which platforms give Dialpad Meetings its broadest presence and its only rank-one placements?

Dialpad Meetings has a clean sentiment profile. Across 60 mentions in October 2026, the brand recorded 51 positive mentions, 9 neutral mentions, and zero negative mentions. No other tracked brand with meaningful presence achieved zero negative mentions except ClickMeeting, Cisco Webex App, GoTo Meeting, RingCentral, Whereby, and Zoho Inventory, several of which have far smaller mention bases. Among brands with more than 50 mentions, Dialpad Meetings holds one of the strongest sentiment positions in the category.

The brand also shows a meaningful Copilot signal. On Copilot, Dialpad Meetings reached a 26.09% valid recommendation coverage rate, its highest across any platform. The brand appeared in 20 of 69 Copilot observations, with 18 positive mentions and 2 neutral mentions. Its top-three rate on Copilot was 2.90%, and its average recommended rank on that platform was 4.75.

Dialpad Meetings also holds a narrow but real rank-one pocket. The brand achieved 2 rank-one placements in October 2026, one on Gemini and one on Copilot. These are small counts, but they confirm that at least some AI systems will place Dialpad Meetings first when the prompt context aligns.

The brand's presence on AI Overviews is its broadest platform footprint. Dialpad Meetings appeared in 17 of 97 AI Overviews observations, with 13 positive mentions and 4 neutral mentions. Its valid recommendation coverage on that platform was 13.40%, and its top-three rate was 3.09%.

Where Dialpad Meetings Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Dialpad Meetings convert mention presence into top-three placement so rarely?
  • How far behind Zoom, Google Meet, and RingCentral is Dialpad Meetings on top-three and rank-one rates?
  • Which prompt clusters are missing from the benchmark, and what does that absence hide about Dialpad Meetings?

Dialpad Meetings is present but not chosen. The brand appeared in 60 qualified observations but received valid recommendation credit in only 50 of them. That 10-observation gap represents moments where AI systems mentioned Dialpad Meetings without placing it in a recommendation shortlist. More significantly, the brand reached the top three in only 11 observations and rank one in only 2.

The displacement pattern is stark when compared to the category leaders. Zoom reached a 73.76% top-three rate and a 55.39% rank-one rate in October 2026. Google Meet reached a 65.60% top-three rate and a 10.79% rank-one rate. Dialpad Meetings, by contrast, reached a 3.21% top-three rate and a 0.58% rank-one rate. The gap between Dialpad Meetings and the category leaders is not a presence gap. It is a recommendation placement gap.

RingCentral, the nearest comparable brand by presence, shows a similar but stronger profile. RingCentral appeared in 170 observations, reached a 11.95% top-three rate, and achieved a 2.33% rank-one rate. RingCentral's presence is nearly three times that of Dialpad Meetings, and its top-three rate is nearly four times higher. Cisco Webex App, which entered tracking in September 2026, reached a 43.15% valid recommendation coverage rate and a 5.83% top-three rate in October, despite a rank-one rate of zero.

The platform-level gaps reinforce the pattern. On Gemini, Dialpad Meetings reached a 7.69% top-three rate, its highest across platforms, but only a 17.95% valid recommendation coverage rate. On ChatGPT, the brand reached a 0.00% top-three rate despite a 3.85% valid recommendation coverage rate. On Perplexity, the brand reached a 4.55% top-three rate and a 11.36% valid recommendation coverage rate. On AI Mode, the brand reached a 1.47% top-three rate and an 8.82% valid recommendation coverage rate. Across every platform, the brand's top-three rate lags far behind its presence rate.

The cluster-level picture is equally narrow. All 343 qualified observations in October 2026 fell into the Brand Recommendation cluster. Dialpad Meetings has no qualified observations in the Pricing and Value or Multi-Brand Comparison clusters. The benchmark cannot show how the brand performs when buyers ask about cost or when AI systems compare multiple options side by side. That absence limits the brand's ability to understand where it might be losing ground in evaluative or cost-sensitive contexts.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest path for Dialpad Meetings to convert positive mentions into top-three recommendation placement?
  • Why is Copilot the most achievable near-term platform for improving Dialpad Meetings shortlist position?

The biggest opportunity for Dialpad Meetings is converting its positive mention presence into top-three recommendation placement in the Brand Recommendation cluster. The brand is already being mentioned favorably in 17.49% of qualified observations. It is converting to a valid recommendation in 14.58% of observations. But it reaches the top three in only 3.21% and rank one in only 0.58%.

The gap between presence and placement is the clearest path forward. Dialpad Meetings does not need to increase its raw mention rate dramatically. It needs to ensure that when AI systems assemble a recommendation shortlist, the brand appears in the top three rather than as a secondary or contextual reference. That means strengthening the public evidence layer that AI systems retrieve when forming recommendations: comparison pages, review site profiles, structured product data, and third-party validation that positions Dialpad Meetings as a primary option rather than an alternative.

The Copilot platform offers the strongest starting point. Dialpad Meetings already reaches a 26.09% valid recommendation coverage rate on Copilot, its highest across any platform. Improving top-three placement on Copilot, where the brand already has a foothold, is a more achievable near-term goal than building presence on platforms where the brand is barely visible.

Competitive Landscape

Questions This Section Answers

  • Where does Dialpad Meetings rank against the other tracked web conferencing brands on top-three and rank-one rates?
  • How does Dialpad Meetings's sentiment score compare to its recommendation placement relative to competitors?

Zoom and Google Meet hold dominant recommendation-stage strength in web conferencing, with Zoom leading on both top-three and rank-one placement. Dialpad Meetings sits in the lower half of the tracked set, ahead of ClickMeeting and Microsoft SharePoint but behind RingCentral, Whereby, and Cisco Webex App on top-three rate.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Zoom

73.76%

55.39%

1.40

0.7895

Google Meet

65.60%

10.79%

2.50

0.8031

RingCentral

11.95%

2.33%

4.03

0.7294

Whereby

6.41%

0.87%

4.80

0.8298

Cisco Webex App

5.83%

0.00%

3.96

0.8971

Dialpad Meetings

3.21%

0.58%

4.64

0.8500

GoTo Meeting

1.17%

0.29%

5.35

0.8295

ClickMeeting

0.29%

0.00%

5.33

0.9250

Microsoft SharePoint

0.29%

0.00%

3.00

0.1667

Zoho Inventory

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Dialpad Meetings ranks sixth by top-three rate and sixth by rank-one rate among the ten tracked brands. Its average recommended rank of 4.64 places it in the middle of the set, ahead of GoTo Meeting and ClickMeeting but behind Zoom, Google Meet, Cisco Webex App, and RingCentral. Its sentiment score of 0.85 is the third highest in the category, behind ClickMeeting and Cisco Webex App, but that positive framing has not translated into top-three placement at the rate of brands with similar or lower sentiment scores.

Prompt Evidence

Copilot / Brand Recommendation Prompt: "What is the best business phone service for small business?" Result: Dialpad Meetings appeared in the response with a positive mention, contributing to its 26.09% valid recommendation coverage rate on Copilot, its strongest platform signal.

ChatGPT / Brand Recommendation Prompt: "What are some VoIP services?" Result: Dialpad Meetings was mentioned but did not reach a top-three recommendation position on ChatGPT, where the brand holds a 0.00% top-three rate despite a 3.85% valid recommendation coverage rate.

Gemini / Brand Recommendation Prompt: "Which is the best VoIP provider?" Result: Dialpad Meetings received a rank-one placement in one Gemini observation, one of only two rank-one placements the brand achieved across all platforms in October 2026.

AI Overviews / Brand Recommendation Prompt: "business conference call service" Result: Dialpad Meetings appeared in 17 of 97 AI Overviews observations, with 13 positive mentions and 4 neutral mentions, contributing to its broadest platform presence.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Dialpad Meetings is mentioned but not shortlisted, and identify which competitors take the top-three position instead.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot and AI Overviews platforms where the brand already has presence, and build a plan to convert mentions into top-three placements.

Phase 3: Owned Answer Layer Buildout Strengthen Dialpad Meetings product pages, comparison content, and structured data so AI systems have clear, retrievable evidence that positions the brand as a primary recommendation.

Phase 4: Citation and Authority Layer Development Build third-party validation through review sites, technology outlets, and industry sources that AI systems already cite when forming web conferencing recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track top-three and rank-one placement rates month over month to measure whether presence is converting into shortlist position.

Why This Matters

AI systems are now forming the buyer shortlist for web conferencing software. When a buyer asks which platform to use, the answer is increasingly assembled by an AI system that draws on public evidence, review content, and structured data. Dialpad Meetings is already being mentioned in those answers, and mentioned favorably. But mention presence alone does not win the shortlist. The brand reaches the top three in only 3.21% of qualified observations and rank one in only 0.58%.

The next move is not to increase raw visibility. It is to correct the prompt, page, and citation layers that determine whether Dialpad Meetings appears as a primary recommendation or a secondary reference. The brand has a positive framing advantage. Converting that advantage into shortlist placement is the work that matters.

Core Metrics

Metric

Value

Mentions

60

Valid recommendations

50

Top 3 recommendation count

11

Rank #1 recommendation count

2

Average recommended rank

4.64

Positive mentions

51

Neutral mentions

9

Negative mentions

0

Raw mention presence rate

17.49%

Valid recommendation coverage

14.58%

Top 3 recommendation rate

3.21%

Rank #1 recommendation rate

0.58%

Net sentiment score

0.85

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Questions This Section Answers

  • Why is a positive sentiment score alone not enough to tell whether Dialpad Meetings is being shortlisted?
  • How is Dialpad Meetings's 0.85 sentiment score calculated, and what does it reveal alongside its top-three rate?

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

For Dialpad Meetings in October 2026: (51 × 1 + 9 × 0 + 0 × -1) / 60 = 0.85

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. Dialpad Meetings has a strong sentiment score because AI systems frame it positively when they mention it. But sentiment alone does not capture whether the brand is being shortlisted. The brand's 0.85 sentiment score sits alongside a 3.21% top-three rate, which shows that positive framing and recommendation placement are separate signals. Classified sentiment is required before interpreting AI visibility, and it must be read alongside recommendation coverage and placement metrics, not in isolation.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

1

1

0

0

1.00

Positive, but sample too small

Copilot

20

18

2

0

0.90

Strongest public recommendation signal

Gemini

9

8

1

0

0.89

Present, but not recommendation-led

Perplexity

6

5

1

0

0.83

Present as context, not recommendation

AI Overviews

17

13

4

0

0.76

Broadest presence, moderate placement

AI Mode

7

6

1

0

0.86

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Dialpad Meetings within the Web Conferencing category, drawing on the LLM Authority Index AI Visibility Market Discovery Index for October 2026.
  2. The reporting window is October 2026, with comparisons to July 2026 baseline where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark began with 800 prompt-surface observations and produced 343 qualified observations in October 2026 after relevance and qualification filtering.
  5. Ten companies were tracked in the October 2026 brand set: Zoom, Google Meet, Cisco Webex App, RingCentral, Whereby, GoTo Meeting, Dialpad Meetings, ClickMeeting, Microsoft SharePoint, and Zoho Inventory.
  6. All 343 qualified observations fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters contained no qualified observations in October 2026.
  7. Stage 0 extraction retained the query, AI platform, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
  8. A mention is counted when Dialpad Meetings appears anywhere in an AI response to a qualified observation.
  9. A valid recommendation is counted when Dialpad Meetings appears in a recommendation shortlist within a qualified observation, as marked by the dataset.
  10. Top-three rate and rank-one rate are calculated within the qualified observation set of 343, not the raw collection of 800.
  11. Average recommended rank covers rank-eligible recommendations only. Dialpad Meetings received rank credit in 50 observations.
  12. The Cisco Webex to Cisco Webex App naming transition that began in September 2026 affects year-over-year comparisons for that brand but does not affect Dialpad Meetings metrics.

See How AI Is Recommending Your Brand

Dialpad Meetings is already being mentioned positively in AI-generated web conferencing recommendations. The next step is understanding which prompts and platforms are converting that presence into shortlist placement, and which are leaving the brand as a secondary reference. A company-level AI visibility audit maps those prompt, platform, competitor, and citation patterns into a prioritized strategy for improving recommendation-stage visibility.

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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.
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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