CiteWorks Studio

Whereby AI Market Strategy Report - Web Conferencing

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Whereby was mentioned in 24.2% of qualified observations but earned valid recommendations in 18.4%, showing a gap between visibility and recommendation conversion.
  • Sentiment was a strength: Whereby posted a 0.88 net sentiment score with 84 positive mentions and no negative mentions.
  • Placement was the main weakness, with a 5.8% top-three recommendation rate, one rank-one placement, and an average recommended rank of 4.5.
  • Copilot was Whereby’s strongest platform for recommendation coverage, while Google AI Mode offered the biggest scale opportunity and Perplexity remained the weakest surface.

Answer Capsule

Whereby holds a narrow but real recommendation pocket in the September 2026 Web Conferencing AI Market Discovery Index, with 18.4% valid recommendation coverage and a 24.2% raw mention presence rate. The brand is visible in AI-generated recommendations but converts that visibility into top-three placements only 5.8% of the time and has reached first position just once across 396 qualified observations. Whereby's clearest win is its 0.88 net sentiment score, the second-highest in the tracked set, and its clearest weakness is a 4.5 average recommended rank that keeps it out of the buyer shortlist. The clearest opportunity is converting its rising presence into top-three recommendation placement inside the consideration cluster.

Who This Report Is For

This report is for Whereby's marketing, product marketing, and demand generation leaders, and for category analysts tracking how AI systems recommend web conferencing and video meeting software.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Whereby

Category / market studied

Web Conferencing

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified (Best Web Conferencing and Video Meeting Software)

AI observations analyzed

396 qualified observations from 800 prompt-surface observations

Competitors tracked

9

Executive Summary

Whereby is visible in AI-generated recommendations but under-recommended relative to its presence. The September 2026 benchmark recorded 96 mentions across 396 qualified observations, a 24.2% raw mention presence rate, but only 73 valid recommendations, an 18.4% valid recommendation coverage rate. That gap between being mentioned and being recommended is the central finding for the brand this month.

Sentiment is not the problem. Whereby posted 84 positive mentions, 12 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.88, the second-highest in the tracked set behind ClickMeeting at 0.91. AI systems frame Whereby positively when they surface it. The issue is placement and shortlist conversion, not framing quality.

Placement is the problem. Whereby's top-three rate was 5.8%, meaning 23 of 396 qualified observations placed the brand in a top-three recommendation position. Its rank-one rate was 0.2%, a single first-position placement across the entire month. Its average recommended rank was 4.5, which places the brand outside the shortlist window that buyers typically act on.

The strongest cluster is also the only qualified cluster. All 396 qualified observations fell into the Brand Recommendation class under the Best Web Conferencing and Video Meeting Software cluster. The benchmark's comparison and pricing clusters produced zero qualified observations in September 2026, so Whereby's performance in head-to-head and cost-sensitive prompts cannot be assessed from this dataset.

The strongest platform signal is Copilot. Whereby appeared in 43 of 66 Copilot observations, a 65.2% raw mention presence rate, with a 48.5% valid recommendation coverage rate and a 15.2% top-three rate. That is the highest recommendation coverage Whereby achieved on any tracked platform and the only platform where it reached a rank-one placement.

The clearest platform gap is Perplexity. Whereby appeared in 7 of 53 Perplexity observations, a 13.2% presence rate, with a 9.4% valid recommendation coverage rate and a 1.9% top-three rate. Gemini and ChatGPT also showed thin coverage relative to Copilot, at 11.6% and 9.4% respectively.

The month-over-month direction is positive but modest. Whereby rose 4.1 points in valid recommendation coverage from July 2026 to September 2026, from 14.3% to 18.4%, a move the benchmark classifies as within normal variation. Raw mention presence rose 8.4 points over the same period, from 15.8% to 24.2%, a move the benchmark classifies as beyond normal variation. The brand is becoming more visible faster than it is becoming more recommended.

What Whereby Is Winning

Questions This Section Answers

  • Where does Whereby's AI sentiment rank among tracked web conferencing brands?
  • Which platform produced Whereby's strongest recommendation coverage?

Whereby's strongest evidence-backed win is framing quality. Its 0.88 net sentiment score is the second-highest in the tracked set, and it recorded zero negative mentions across 396 qualified observations. AI systems do not appear to be framing the brand cautiously or as a comparison anchor.

The second win is Copilot recommendation coverage. Whereby reached 48.5% valid recommendation coverage on Copilot, its highest platform result, with 32 valid recommendations from 66 observations. This is the one platform where Whereby performs closer to the category leaders than to the trailing brands.

The third win is presence growth. Raw mention presence rose from 15.8% in July 2026 to 24.2% in September 2026, an 8.4-point gain that exceeds normal month-to-month variation. Top-three placements rose from 4 in July to 23 in September, and the brand recorded its first rank-one placement in the series.

These wins are real but narrow. Whereby remains well below the category leaders on every recommendation metric, and its gains are measured from a small base.

Where Whereby Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Whereby appear in AI mentions far more often than it appears in top-three recommendations?
  • How far behind Zoom and Google Meet is Whereby on first-position recommendations?
  • Which platforms lag behind Copilot for Whereby's recommendation coverage?

The clearest gap is shortlist conversion. Whereby is mentioned in roughly one in four qualified observations but appears in a top-three recommendation position in fewer than one in seventeen. The benchmark's own framing applies directly here: the brand shows visibility without recommendation conversion.

The second gap is first-position preference. Whereby reached rank one once in 396 qualified observations, a 0.2% rate. Zoom reached first position 175 times, a 44.2% rate, and Google Meet reached it 18 times, a 4.5% rate. Whereby is not competing for the first recommendation slot at all.

The third gap is platform concentration. Whereby's recommendation coverage is heavily weighted toward Copilot. On Perplexity it reached 9.4% coverage, on Gemini 11.6%, on ChatGPT 9.4%, and on Google AI Overviews 8.7%. On Google AI Mode, the platform carrying the largest share of category opportunity, Whereby reached 19.2% coverage with a 5.1% top-three rate. The brand's Copilot strength is not carrying across surfaces.

The fourth gap is the absence of qualified comparison and pricing observations. The benchmark recorded zero qualified observations in the Multi-Brand Comparison and Pricing and Value classes in September 2026. Whereby cannot be assessed on head-to-head or cost-sensitive prompts from this dataset, and the benchmark notes that this absence is itself a finding about the current prompt universe.

Competitor displacement is concentrated at the top. Zoom holds 53.5% top-three rate and 44.2% rank-one rate. Google Meet holds 43.4% top-three rate. Cisco Webex App holds 34.3% coverage with a 7.6% top-three rate. Whereby's 5.8% top-three rate places it fifth in the tracked set, ahead of ClickMeeting, GoTo Meeting, and Dialpad Meetings, and behind the four brands above it.

Biggest Opportunity

Questions This Section Answers

  • How can Whereby convert its rising AI mention presence into top-three recommendations?
  • What makes Google AI Mode the key surface for closing Whereby's placement gap?

Whereby's single biggest opportunity is converting its rising raw mention presence into top-three recommendation placement inside the consideration cluster, with Copilot as the proof surface and Google AI Mode as the scale surface.

The evidence supports this specifically. Whereby already achieves 48.5% valid recommendation coverage on Copilot, which shows AI systems will shortlist the brand when the surrounding evidence supports it. On Google AI Mode, the platform with the largest share of category opportunity, Whereby reaches 19.2% coverage but only 5.1% top-three rate. Closing that placement gap on the highest-volume surface is the clearest path from reference to recommendation.

Competitive Landscape

Questions This Section Answers

  • Where does Whereby rank among web conferencing brands on top-three recommendation rate?
  • How does Whereby's sentiment compare to its recommendation placement in the competitive set?

Zoom and Google Meet hold recommendation-stage strength in web conferencing, with Zoom leading on both coverage and first-position preference. Whereby sits in the middle of the tracked set, ahead of the trailing brands on sentiment but behind the leaders on shortlist placement.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Zoom

53.54%

44.19%

1.29

0.7533

Google Meet

43.43%

4.55%

2.65

0.7632

RingCentral

10.10%

2.27%

4.03

0.6789

Cisco Webex App

7.58%

0.00%

3.64

0.7910

Whereby

5.81%

0.25%

4.5

0.8750

ClickMeeting

3.03%

0.00%

4.67

0.9130

Dialpad Meetings

2.78%

0.00%

4.26

0.7358

GoTo Meeting

0.25%

0.00%

5.33

0.6300

Microsoft SharePoint

0.00%

0.00%

N/A

0.1429

Zoho Inventory

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Whereby ranks fifth of ten on top-three rate and fifth on average recommended rank. Its sentiment score is the second-highest in the table, which means the brand is framed well but placed low. The table shows a brand with positive framing and weak shortlist position, not a brand with a reputation problem.

Prompt Evidence

Copilot / Best Web Conferencing and Video Meeting Software Prompt: "video conferencing" Result: Whereby appeared in 43 of 66 Copilot observations with a 48.5% valid recommendation coverage rate, its strongest platform result.

Google AI Mode / Best Web Conferencing and Video Meeting Software Prompt: "online meeting platforms" Result: Whereby reached 19.2% coverage on the highest-volume surface but converted to a top-three placement only 5.1% of the time.

Perplexity / Best Web Conferencing and Video Meeting Software Prompt: "free video chat" Result: Whereby appeared in 7 of 53 Perplexity observations with a 9.4% coverage rate and a 1.9% top-three rate, its weakest platform result.

ChatGPT / Best Web Conferencing and Video Meeting Software Prompt: "ai note taker" Result: Whereby appeared in 4 of 32 ChatGPT observations with a 9.4% coverage rate and no rank-one placement.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt, surface, and competitor pattern behind Whereby's 24.2% presence rate and 18.4% recommendation coverage rate, and identify which specific prompts produce mentions without shortlist placement.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot and Google AI Mode surfaces where Whereby already has traction, and define the placement targets that move the brand from reference to top-three recommendation.

Phase 3: Owned Answer Layer Buildout Build owned pages that answer the consideration-stage questions in the Best Web Conferencing and Video Meeting Software cluster, structured so AI systems can retrieve and cite Whereby directly.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer around Whereby's differentiators, including third-party comparisons, review sources, and category references that AI systems draw on when forming shortlists.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, valid recommendation coverage, top-three rate, rank-one rate, and sentiment monthly across all six surfaces, with Copilot and Google AI Mode as the primary movement indicators.

Why This Matters

Whereby is already being mentioned in AI-generated recommendations. The benchmark shows the brand appearing in roughly one in four qualified observations with strongly positive framing and no negative mentions. That is a better starting position than most brands in the category have.

Presence alone does not win the buyer. Whereby appears in a top-three recommendation position in fewer than one in seventeen observations and has reached first position once. Buyers acting on an AI shortlist are choosing from the top few recommendations, and Whereby is currently outside that window on most surfaces. The next move is targeted correction of the prompt, page, and citation layers that determine whether the brand is mentioned or recommended.

Core Metrics

Metric

Value

Mentions

96

Valid recommendations

73

Top 3 recommendation count

23

Rank #1 recommendation count

1

Average recommended rank

4.5

Positive mentions

84

Neutral mentions

12

Negative mentions

0

Raw mention presence rate

24.24%

Valid recommendation coverage

18.43%

Top 3 recommendation rate

5.81%

Rank #1 recommendation rate

0.25%

Net sentiment score

0.8750

Strongest cluster by recommendation behavior

Best Web Conferencing and Video Meeting Software (only qualified cluster)

Strongest platform by recommendation behavior

Copilot (48.48% valid recommendation coverage)

Sentiment Score

Questions This Section Answers

  • Why does Whereby's high sentiment score not translate into stronger AI recommendations?

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

Whereby's September 2026 sentiment score is (84 × 1 + 12 × 0 + 0 × -1) / 96 = 0.8750.

This matters because unclassified mention counts are misleading. A brand mentioned 96 times with mixed framing and a brand mentioned 96 times with uniformly positive framing look identical in a raw presence metric. Whereby's 24.2% presence rate and its 0.88 sentiment score describe two different things, and only the second one tells you how AI systems are framing the brand.

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 outcomes. Counting all mentions as wins is bad measurement, and it hides the difference between a brand that AI systems recommend and a brand that AI systems merely list.

Classified sentiment is required before interpreting AI visibility. Whereby's zero negative mentions and 84 positive mentions mean the brand's framing problem is not a framing problem at all. The gap is placement, and sentiment data is what makes that distinction visible.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Copilot

43

39

4

0

0.9070

Strongest public recommendation signal

Google AI Mode

22

19

3

0

0.8636

Present, but not recommendation-led

Google AI Overviews

9

9

0

0

1.0000

Positive, but sample too small

Perplexity

7

7

0

0

1.0000

Positive, but sample too small

ChatGPT

4

3

1

0

0.7500

Present as context, not recommendation

Gemini

11

7

4

0

0.6364

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Whereby's position in the September 2026 Web Conferencing AI Market Discovery Index. It is not a client result and does not describe CiteWorks Studio campaign outcomes.
  2. The reporting window is September 2026, with July 2026 as the baseline comparison month and August 2026 as the intermediate month.
  3. Six canonical AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six registered at least one qualified observation in the month.
  4. The September 2026 run began with 800 prompt-surface observations and produced 396 qualified benchmark observations after relevance and qualification stages.
  5. The tracked competitor universe contains ten brands: Zoom, Google Meet, Cisco Webex App, RingCentral, Whereby, ClickMeeting, GoTo Meeting, Dialpad Meetings, Microsoft SharePoint, and Zoho Inventory.
  6. One buyer-intent cluster produced qualified observations in September 2026: Best Web Conferencing and Video Meeting Software, classified as a consideration-stage Brand Recommendation cluster. The comparison and pricing clusters produced zero qualified observations.
  7. A mention is counted when a tracked brand appears anywhere in a qualified AI or search response, regardless of whether it is recommended.
  8. A valid recommendation is counted when a brand appears in a valid recommendation shortlist within a qualified observation. Neutral, cautionary, and listed-only mentions are not counted as valid recommendations.
  9. Brand-level percentages use the 396 qualified observations as the public denominator, not the 800 raw collected prompts.
  10. Cisco Webex was replaced by Cisco Webex App as a tracked entity beginning September 2026. Movement between these two labels reflects a tracking change, not a direct competitive comparison.
  11. Dialpad Meetings, Zoho Inventory, and Microsoft SharePoint have small absolute observation counts, so their percentage movements carry more uncertainty than brands with larger bases.
  12. Month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes, and source presence is not treated as proof of causation.

See Where AI Is Recommending Your Brand

The public benchmark shows where Whereby is winning and losing in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, ranking patterns, and evidence sources behind those numbers, and turns them into a prioritized visibility strategy.

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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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