How AI Search Is Recommending Web Conferencing: Monthly Trends

Executive Summary

October 2026 marks a decisive month for the web conferencing category. Zoom strengthened its lead to 75.5% valid recommendation coverage, up 5.6 points from July's 69.9% baseline and up 13.4 points from September's 62.1%. The gap to second-place Google Meet now stands at 4.4 points, with Google Meet at 71.1%, up 2.9 points from its July baseline and up 11.2 points month-over-month. The two leaders sit far ahead of the rest of the category, and both reversed their multi-month declines in October.

The strongest upward mover with continuous tracking is Whereby, up 7.6 points from July's 14.3% to 21.9%, a move beyond normal month-to-month variation. Whereby also rose 3.5 points from September and has now posted two consecutive months of gains. The brand's top-three rate rose from 1.0% in July to 6.4% in October, and its raw mention presence rose from 15.8% to 27.4%.

The sharpest decliners are Cisco Webex and ClickMeeting. Cisco Webex was removed from tracking after September, falling from 61.5% coverage in July to no tracked coverage in October. The benchmark records this as an instrument-level naming change, with Cisco Webex App now tracked separately at 43.1% coverage. ClickMeeting fell 7.6 points from July's 18.4% to 10.8%, a decline beyond normal variation, and this was driven primarily by a 7.7-point drop in raw mention presence from 19.4% to 11.7%.

Against September, the October picture is one of broad upward movement among continuously tracked brands. Eight of the ten tracked brands posted month-over-month gains, Zoho Inventory held flat, and only ClickMeeting posted a decline. The category leader retained its position, and the gap between Zoom and Google Meet remains narrow at 4.4 points, keeping the top-two race the closest competitive dynamic in the category.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In July, those 800 observations contained 535 unique questions, with all 800 mentioning a tracked brand or competitor; 574 were relevant and 226 were irrelevant, leaving 418 qualified observations. In October, the same 800 observations contained 619 unique questions, with all 800 mentioning a tracked brand or competitor; 522 were relevant and 278 were irrelevant, leaving 343 qualified observations. The intervening months followed the same pattern: 577 unique questions and 493 qualified observations in August, and 614 unique questions and 396 qualified observations in September. The public metrics use the qualified observations that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

The benchmark detected 2 critical or high-severity factual inconsistencies across 3 AI platforms in October 2026.

Google Meet

AI platforms provided conflicting information about Google Meet's free tier time limits, with responses differing on whether the free version imposes a cap on group meeting duration.

When asked "Is there a free video conferencing with no time limit?", Gemini stated that Google Meet is "Free for group meetings up to 100 participants with no time limit," citing articles from TrueConf, SecuMeet, and Zoom's own feature page. ChatGPT stated that "Google Meet free: up to 60 minutes for group meetings," citing Jitsi, MeetHour, and LoopUp. A flagged source on the SecuMeet page noted that "Google Meet caps group meetings at 60 minutes on its free tier" with high confidence, supporting the ChatGPT claim over the Gemini claim.

A second inconsistency on the same topic emerged when the question was rephrased as "Is there a free video conference without time limit?" Gemini stated that "Free personal Google accounts can host 1:1 calls and group video calls with up to 100 participants for as long as you want (no time limit)," citing TrueConf and SecuMeet. Perplexity stated that "Google Meet Free plans typically have time limits on groups," citing TrueConf, a separate TrueConf comparison page, and TechRadar. Two flagged sources on the Perplexity side supported the time-limit claim: the TrueConf article noted that "most mainstream tools offer free plans, but then quietly cap sessions at 40 or 60 minutes," and the SecuMeet page repeated that "Google Meet caps group meetings at 60 minutes on its free tier." One flagged source on the Gemini side, a RemoteWize article, stated that "Google Meet is the best option for one-on-one video conferences: its free version offers unlimited calls."

The commercial significance of these inconsistencies is that a prospective buyer researching free video conferencing options may receive directly contradictory answers depending on which AI platform they query. The distinction between 1:1 calls, which may indeed be unlimited, and group calls, which may be capped, is not consistently surfaced.

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. October's funnel shows a smaller qualified set than July (343 versus 418 observations) despite the same 800 raw prompts, driven by a higher share of irrelevant prompts at 278 versus 226.

Benchmark-Level Metrics

The following metrics summarize the qualified benchmark set at the aggregate level.

The qualified observation set contracted steadily from 418 in July to 343 in October, with intermediate months at 493 in August and 396 in September. Despite the smaller denominator, the recommendation-shaped answer share rose sharply from 34.9% to 55.4%, meaning a larger portion of observations are now direct recommendation responses. The valid recommendation shortlist share also rose from 70.6% to 78.1%. Cisco Webex was removed from tracking and Cisco Webex App now appears as a separately tracked entity, keeping the total number of companies tracked unchanged at 10.

AI Recommendation Trend

Zoom extended its lead while Google Meet closed ground from September, keeping the top-two race narrow

The category-level movement came from a combination of several smaller movements rather than any single dominant shift. Whereby's 7.6-point gain and ClickMeeting's 7.6-point decline were the largest baseline-to-current moves beyond normal variation. Zoom's 5.6-point gain and Google Meet's 2.9-point gain fell within typical month-to-month variation from baseline, though both were significant month-over-month from September.

What Changed This Month

Zoom

Zoom's valid recommendation coverage rose to 75.5% in October, up 5.6 points from July's 69.9% and up 13.4 points from September's 62.1%. The month-over-month gain exceeds normal variation, while the baseline-to-current move does not. This is the first month since July that Zoom has posted a gain rather than a decline.

The gain spans both presence and placement. Zoom's raw mention presence rose from 98.3% in July to 99.7% in October, meaning the brand was surfaced in 342 of 343 qualifying observations. Its top-three rate rose from 63.6% to 73.8%, a 10.1-point gain, and its rank-one rate held nearly flat at 55.4% versus 54.5% in July. In absolute terms, rank-one placements fell from 228 in July to 190 in October, even as the rate held nearly flat, reflecting the smaller qualified-observation base (418 to 343).

The distinction to notice is that Zoom's dominance is now more pronounced in top-three placements than in first-choice recommendations. The brand is recommended in the top three in nearly three-quarters of qualifying observations, but its rank-one rate has barely moved, suggesting competitors are still winning a meaningful share of the top slot despite Zoom's broader gains.

Highest-priority diagnostic: Which prompts and surfaces account for the gap between Zoom's 73.8% top-three rate and its 55.4% rank-one rate?

Google Meet

Google Meet's valid recommendation coverage rose to 71.1% in October, up 2.9 points from July's 68.2% and up 11.2 points from September's 59.9%. The month-over-month gain exceeds normal variation, while the baseline-to-current move does not. This reverses the decline Google Meet posted between July and September.

The gain is concentrated in top placements. Google Meet's top-three rate rose from 55.7% in July to 65.6% in October, a 9.9-point gain, and its rank-one rate rose from 4.1% to 10.8%, a 6.7-point gain. Raw mention presence held nearly steady, rising from 91.6% to 93.3%.

The distinction is that Google Meet gained in both the top-three and rank-one tiers, narrowing the gap with Zoom in first-choice placements even as Zoom's overall coverage lead widened. In absolute terms, rank-one placements rose from 17 in July to 37 in October, even as top-three placement counts eased slightly from 233 to 225 alongside the smaller qualified-observation base.

Highest-priority diagnostic: Which prompts drove the 6.7-point gain in rank-one placements between July and October?

Whereby

Whereby posted the largest upward move among continuously tracked brands, rising from 14.3% in July to 21.9% in October, a gain of 7.6 points beyond normal month-to-month variation. Month-over-month, the brand rose 3.5 points from September's 18.4%, which is within normal variation. This is the second consecutive month of gains.

The movement spans presence and top-three placements. Whereby's raw mention presence rose from 15.8% in July to 27.4% in October, an 11.6-point gain, meaning the brand was surfaced in 94 of 343 qualifying observations. Its top-three rate rose from 1.0% to 6.4%, a 5.4-point gain, and its rank-one rate moved from zero to 0.9%. In absolute terms, top-three placements rose from 4 in July to 22 in October, and rank-one placements rose from zero to 3.

The distinction is that Whereby's upward movement is broad-based across presence, top-three, and first-choice placements, though the absolute counts remain well below the category leaders. The brand now sits at fifth place, ahead of GoTo Meeting and Dialpad Meetings.

Highest-priority diagnostic: Which prompt contexts or surfaces drove the 11.6-point rise in raw mention presence, and is that growth concentrated in a narrow set of questions?

ClickMeeting

ClickMeeting's valid recommendation coverage fell from 18.4% in July to 10.8% in October, a decline of 7.6 points beyond normal month-to-month variation. Month-over-month, the brand fell 4.9 points from September's 15.7%, which also exceeds normal variation. This is the first significant monthly decline after two months of relative stability.

The decline is driven almost entirely by a loss of presence. ClickMeeting's raw mention presence fell from 19.4% in July to 11.7% in October, a 7.7-point drop, meaning the brand was surfaced in only 40 of 343 qualifying observations. Its top-three rate fell from 1.0% to 0.3%, a 0.7-point decline, and its rank-one rate remained at zero throughout the series.

The distinction is that ClickMeeting is losing visibility in AI answers rather than losing placement strength within the answers where it appears. The brand's presence count fell from 81 prompts in July to 40 in October, while its top-three placements fell from 4 to 1.

Highest-priority diagnostic: Which prompts or surfaces account for the 41 lost presence observations between July and October?

Cisco Webex and Cisco Webex App

The Cisco naming transition that began in September 2026 continues to shape the category's competitive picture. Cisco Webex is no longer tracked, having fallen from 61.5% coverage in July to 53.8% in August to no tracked coverage in September and October. Cisco Webex App entered tracking in September at 34.3% coverage and rose to 43.1% in October, an 8.8-point gain beyond normal variation and a two-month upward streak.

Cisco Webex App's current profile shows broad presence across the benchmark. Its raw mention presence stood at 51.0% in October, meaning the brand was surfaced in 175 of 343 qualifying observations. Its top-three rate was 5.8% (20 top-three placements), and its rank-one rate remained at zero.

The distinction to notice is that Cisco Webex App is now the third-ranked brand by coverage, but its presence profile remains well below Cisco Webex's July baseline of 80.9% raw mention presence and 11.2% top-three rate. Whether this reflects a genuine narrowing of the product's AI visibility or a continuing effect of the naming transition cannot be determined from the aggregate benchmark alone.

Highest-priority diagnostic: Do AI systems recommend "Cisco Webex App" in the same prompt contexts where they recommended "Cisco Webex" in earlier months, or has the product's overall presence in AI answers changed?

Buyer-Intent Interpretation

In October 2026, all 343 qualified observations fell into the Brand Recommendation cluster. None of the qualified observations were classified as Pricing & Value or Multi-Brand Comparison in any of the four tracked months, meaning the public benchmark cannot yet answer questions about price positioning, value perception, or head-to-head comparison. The commercial questions the benchmark does answer are narrower: which brand an AI system recommends, at what rank, and with what sentiment. The absence of pricing and comparison observations is itself a finding, since it suggests the current prompt universe is weighted toward direct recommendation rather than evaluative or cost-sensitive queries. Response types within the qualified set included 190 recommendation shortlists, 62 factual answers, 44 ranked lists, 33 comparison analyses, and 14 pricing analyses, but none of the comparison or pricing responses qualified as part of the buyer-intent clusters.

Brand Opportunity Summary

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.

About This Benchmark

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

• AI Visibility Industry Market Index
• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movements: Microsoft SharePoint and Zoho Inventory have very small absolute observation counts, so their percentage movements carry more uncertainty than brands with larger bases. Dialpad Meetings and ClickMeeting also have smaller counts relative to the category leaders.
• Instrument change: Cisco Webex was replaced by Cisco Webex App as a tracked entity beginning in September 2026. Movement between these two labels reflects a change in how the benchmark tracks the Cisco product line, not a direct competitive comparison.
• Qualified denominator vs raw collection: All brand-level percentages are calculated within the qualified benchmark set of 343 observations, not the 800 raw collected prompts.
• Directional analysis: Month-over-month movement 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.

The aggregate percentages answer the question of who is being recommended, but they do not reveal which high-intent prompts are being won, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, or which external sources shape those answers. For a category where the Cisco naming transition may mask a continuous product, where Zoom's rank-one rate lags far behind its top-three rate, and where Google Meet's recovery is concentrated in first-choice placements, those underlying patterns are the difference between observing a trend and diagnosing a competitive position. The same applies to Whereby's broad-based rise and ClickMeeting's presence-driven decline.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. For Cisco, the audit would determine whether the name change alters how AI systems recommend its product and which sources drive each label. For Zoom, it would identify the specific prompts where rank-one placements are being lost despite top-three dominance.

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