mapou Visibility Index · Telecommunications → Business Telecom · May 2026
Which business telecom brands does AI cite most?
When buyers ask AI assistants questions like “What are the best business telecommunications solutions for US companies, including B2B carriers, business internet, unified communications (UCaaS), cloud phone systems, and contact center software?” or “What are the best affordable cloud phone systems and unified communications solutions for US businesses under $50 per user per month?”, a small set of business telecomget cited every time. Most don't. This report measures which.
How we measured. MVI is a 0–100 score per brand: 0 means AI never cites you in business telecom, 100 means it cites you in every prompt. We tested 20 brands across 5 AI assistants (ChatGPT, Perplexity, Gemini, Claude, Grok) using 20 fixed prompts, reused every monthly run for replicability.
How we describe AI visibility
- Stage 1, First encounter. The brand is discovered and cited occasionally in AI answers for buyer-intent prompts.
- Stage 2, Repeat use. The brand is cited regularly enough that it feels familiar and reliably present across prompts and engines.
- Stage 3, Default choice. The brand is the go-to recommendation in AI answers within its segment, often appearing first or most consistently.
Bottom line
RingCentral leads business telecom on AI search visibility with MVI 72, sitting firmly in the repeat-use tier, ahead of the field, with AT&T Business second at MVI 56.
Who AI cites most
RingCentral is cited in 72 of 100 prompt-engine pairs (72%). 95% confidence interval 63-80.
Concentration
The top 3 brands (RingCentral, AT&T Business, Verizon Business) capture 31% of all citations in this segment. 5 of 20 tracked brands are cited in fewer than 1 in 10 prompt-engine pairs.
Where the field sits
Of 20 brands tested: 5 in repeat-use, 7 in first-encounter, 8 not yet cited. Overall, AI cites a brand from this segment in 28% of buyer-intent prompt-engine pairs.
Engine asymmetry
RingCentral is cited in 100% of Claude prompts but only 0% on Gemini, visibility is engine-specific, not universal.
Phase flip
AT&T Business actually outperforms RingCentral on Evaluation prompts, overall MVI hides this category-specific strength.
Notable absence
Cox Business is not yet cited, 0 prompts across all 100 prompt-engine pairs. A recognizable brand AI is not yet surfacing.
Analyst note
RingCentral leads with 72 MVI, but no brand reaches the leader tier.
RingCentral leads the business telecom segment with an MVI of 72, but it only has a foothold position. Its performance varies across engines, scoring 0 on Gemini and 100 on Claude. AT&T Business and Verizon Business follow with MVIs of 56 and 54. Eight brands are not visible, creating a divide in visibility. All top brands are in the foothold tier, which opens up possibilities for changes in visibility.
Risk:RingCentral's zero visibility on Gemini poses a risk, as AT&T Business and Verizon Business also have low performance on this engine.
Headline finding
RingCentral leads business telecom on AI search visibility with MVI 72, sitting firmly in the repeat-use tier.
Average MVI
29
Default choice
0
Of 20 brands
Repeat use
5
First encounter
7
Not yet cited
8
Citation rate per engine
How often each engine cites a brand from this category as a recommendation, averaged across all 20 brands tested.
ChatGPT
43%
16 / 20 brands cited at least once
Perplexity
25%
16 / 20 brands cited at least once
Gemini
0%
1 / 20 brands cited at least once
Claude
44%
17 / 20 brands cited at least once
Grok
28%
13 / 20 brands cited at least once
Phase strength across the category
Which buyer-intent phases are easiest vs hardest to win in business telecom. Citation rate averaged across all brands tested. Phase weights are part of the MVI formula.
Discovery · 30%
35%
Top: RingCentral
Filtered discovery · 25%
24%
Top: RingCentral
Comparison · 25%
23%
Top: RingCentral
Evaluation · 20%
29%
Top: RingCentral
Who wins which buyer phase
Top 12brands by MVI mapped against the four buyer-intent phases. Each cell shows the brand's citation rate for that phase, color-coded so the visual pattern tells the story: a brand strong across all four phases reads as a horizontal orange band; a brand strong only at Discovery but weak at Evaluation reads as a left-heavy gradient. This is the segment's findings against the panel.
| Brand | MVI | Discovery | Filtered | Comparison | Evaluation |
|---|---|---|---|---|---|
| RingCentral | 72 | 70% | 73% | 75% | 70% |
| AT&T Business | 56 | 67% | 47% | 40% | 73% |
| Verizon Business | 54 | 63% | 42% | 43% | 70% |
| 8x8 | 51 | 53% | 50% | 48% | 55% |
| Zoom Phone | 51 | 58% | 40% | 50% | 55% |
| Genesys | 45 | 57% | 27% | 38% | 60% |
| Vonage Business | 38 | 47% | 33% | 45% | 20% |
| Comcast Business | 34 | 50% | 17% | 28% | 40% |
| Five9 | 34 | 47% | 23% | 20% | 45% |
| Nextiva | 31 | 45% | 27% | 33% | 15% |
| Microsoft Teams Phone | 29 | 30% | 30% | 30% | 25% |
| Lumen | 25 | 37% | 17% | 15% | 30% |
How to read it. Strong horizontal band = durable brand, AI cites it across the entire funnel. Left-heavy gradient = brand with awareness (Discovery) but weak recommendation (Evaluation), the demand-leak pattern from Finding 03. Right-heavy gradient = brand AI considers in Comparison and Evaluation but does not surface in initial Discovery, the anti-leak pattern. Color steps: dark orange ≥75%, orange ≥50%, peach ≥30%, light ≥10%, beige >0%, neutral 0%.
For CMOs in business telecom
What this report means for your business telecom portfolio
Each bullet is a category-specific decision derived from this month's data, with the mapou service that operationalizes it.
Concentration risk
In business telecom, AI effectively recommends 13.3 of 20 tracked brands. The top brand captures 12% of citations. The next 2 capture another 10%. Visibility is concentrated but not winner-takes-all.
How mapou helps: GEO & Citation Architecture restructures your entity data so you can break into the top set.
Engine fragmentation
Engines disagree on the business telecom leaderboard. Mean cross-engine agreement is only 0.36 (1.0 = perfect agreement, 0 = independent). Optimizing for ChatGPT will not necessarily improve your Claude or Gemini visibility. You need engine-specific strategy.
How mapou helps: AI Visibility Audit maps your position separately on each of the 5 engines.
Visibility tier landscape
In business telecom, 0 of 20 tracked brands clear MVI 75 (default-choice tier). 8 are below MVI 25 (not yet cited). The strategy differs at each tier. If you are below 25, you need foundational visibility infrastructure before tactical optimization.
How mapou helps: AI Visibility Audit identifies your tier; GEO & Citation Architecture moves you up.
The mapou Visibility Index
What is MVI?
The mapou Visibility Index (MVI) is a 0-100 proprietary score combining four weighted dimensions: Discovery (open recommendations, 30%), Filtered Discovery (budget, persona, use-case, 25%), Comparison (head-to-head authority, 25%), and Evaluation (decision-criteria authority, 20%).
Citations count fully; mentions count at half weight. Engines are equally weighted (no market-share gymnastics). Wilson 95% confidence intervals are shown alongside every score. The same 20 prompts run every month so MVI deltas are paired comparisons, not noise.
How to read this ranking
- Default choice (MVI 75+). AI's go-to recommendation in business telecom. The tier other brands are competing into.
- Repeat use (50–74). Cited often enough to feel reliably present across prompts and engines. One signal away from default.
- First encounter (25–49). Discovered and cited occasionally, but visibility is inconsistent. The brand is real to AI, not yet trusted.
- Not yet cited (0–24). AI does not surface this brand for buyer-intent prompts in business telecom. Effectively invisible in AI-driven discovery.
Ranked by MVI score (Wilson 95% CI shown). The Spread column shows the gap between each brand's best and worst engine, under 15pp is durable, 50pp+ is engine-dependent. Per-engine columns show the count of prompts where each engine cited the brand as a recommendation (out of 20). Read each column as a signal: when ChatGPT cites you but Gemini doesn't, your gap is engine-specific. When all five miss you, the gap is foundational.
| # | Brand | MVI | 95% CI | Spread | Per-engine | ChatGPT | Perplexity | Gemini | Claude | Grok | Tier |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | ▲ Comparison (15/20) · open recommendation (4/5) | 72 | 63–80 | 100pp | 19 | 16 | 0 | 20 | 17 | Repeat use | |
| 2 | ▲ Evaluation (13/20) · open recommendation (4/5) ▼ Comparison (6/20) · budget-friendly (0/5) | 56 | 47–66 | 75pp | 15 | 11 | 0 | 14 | 12 | Repeat use | |
| 3 | ▲ Evaluation (13/20) · open recommendation (4/5) ▼ Filtered Discovery (12/30) · emerging brands (0/5) | 54 | 44–63 | 75pp | 15 | 10 | 0 | 12 | 13 | Repeat use | |
| 4 | ▲ Evaluation (11/20) · top-brands lists (4/5) | 51 | 42–61 | 90pp | 18 | 5 | 0 | 17 | 11 | Repeat use | |
| 5 | ▲ Discovery (17/30) · top-brands lists (4/5) ▼ Filtered Discovery (12/30) · emerging brands (1/5) | 51 | 41–60 | 90pp | 18 | 9 | 0 | 13 | 10 | Repeat use | |
| 6 | ▲ Evaluation (12/20) · top-brands lists (4/5) ▼ Filtered Discovery (8/30) · budget-friendly (0/5) | 45 | 35–54 | 85pp | 13 | 2 | 0 | 17 | 12 | First encounter | |
| 7 | ▲ Discovery (14/30) · open recommendation (3/5) ▼ Evaluation (4/20) · evaluation buying advice (0/5) | 38 | 28–47 | 85pp | 9 | 9 | 0 | 17 | 1 | First encounter | |
| 8 | ▲ Discovery (15/30) · top-brands lists (4/5) ▼ Filtered Discovery (5/30) · emerging brands (0/5) | 34 | 25–43 | 55pp | 9 | 5 | 0 | 8 | 11 | First encounter | |
| 9 | ▲ Discovery (14/30) · top-brands lists (3/5) ▼ Comparison (4/20) · budget-friendly (0/5) | 34 | 25–44 | 70pp | 14 | 2 | 0 | 7 | 11 | First encounter | |
| 10 | ▲ Discovery (13/30) · open recommendation (3/5) ▼ Evaluation (3/20) · filtered values driven (0/5) | 31 | 23–41 | 70pp | 7 | 14 | 0 | 5 | 4 | First encounter | |
| 11 | ▲ Discovery (8/30) · filtered persona pro (4/5) | 29 | 21–39 | 50pp | 7 | 2 | 0 | 6 | 10 | First encounter | |
| 12 | ▲ Discovery (11/30) · open recommendation (2/5) ▼ Comparison (3/20) · budget-friendly (0/5) | 25 | 18–34 | 70pp | 14 | 1 | 0 | 10 | 0 | First encounter | |
| 13 | ▲ Discovery (9/30) · top-brands lists (3/5) ▼ Comparison (3/20) · emerging brands (0/5) | 22 | 15–31 | 70pp | 7 | 1 | 0 | 14 | 0 | Not yet cited | |
| 14 | ▲ Filtered Discovery (6/30) · budget-friendly (3/5) ▼ Comparison (1/20) · emerging brands (0/5) | 16 | 11–26 | 50pp | 1 | 5 | 0 | 10 | 0 | Not yet cited | |
| 15 | ▲ Discovery (7/30) · emerging brands (3/5) ▼ Evaluation (0/20) · top-brands lists (0/5) | 11 | 6–19 | 40pp | 1 | 8 | 1 | 0 | 1 | Not yet cited | |
| 16 | ▲ Discovery (3/30) · current-year picks (1/5) | 6 | 3–12 | 25pp | 5 | 0 | 0 | 1 | 0 | Not yet cited | |
| 17 | ▲ Discovery (2/30) · current-year picks (1/5) | 5 | 2–11 | 10pp | 0 | 0 | 0 | 2 | 1 | Not yet cited | |
| 18 | ▲ Comparison (0/20) | 1 | 0–5 | 0pp | 0 | 0 | 0 | 0 | 0 | Not yet cited | |
| 19 | ▲ Discovery (1/30) · discovery recommendation request (1/5) | 1 | 0–5 | 5pp | 0 | 1 | 0 | 0 | 0 | Not yet cited | |
| 20 | ▲ Comparison (1/20) · comparison alternative to leader (1/5) | 1 | 0–5 | 5pp | 0 | 0 | 0 | 1 | 0 | Not yet cited |
Strategic insights for business telecom
Five derived metrics computed from the same data, surfacing how this segment behaves on AI search. See the State of AI Search for cross-segment comparison.
Engine agreement
0.36
High disagreement
Effective brands
13.3 / 20
Wide open · top 2 take 22%
Top demand-leak brand
Nextiva
+30pp Discovery vs Evaluation
Top mention-only brand
T-Mobile for Business
50% of visibility is mention-only
Kingmaker engine by funnel phase
discovery
ChatGPT
100pp spread
filtered
ChatGPT
100pp spread
comparison
ChatGPT
100pp spread
evaluation
ChatGPT
100pp spread
For each phase, the engine where the gap between most-cited and least-cited brand is widest, i.e. where positioning matters most. Win that engine, win that phase.
Brands cited most across the category
Aggregated across every (brand × prompt × engine) combination tested. The most-cited brands here are the names AI consistently surfaces when buyers ask about business telecom.
Emerging brands AI is citing in business telecom
Brand names AI engines surfaced for business telecom prompts that are not currently on the mapou tracked panel. Ranked by mention count and engine breadth. These are panel candidates, brands AI considers part of the category even though we are not yet measuring them.
Method. Aggregated across the canonical run for business telecom. For every (panel brand × prompt × engine) we record the brand names the analyzer extracted (capped at 6 per response), then drop names that match the tracked panel or its aliases, plus a denylist of generic category terms. Threshold to qualify: at least 3 mentions across at least 2 of 5 engines. Click any row to see the AI quote that surfaced the brand. Some entries may be tracked elsewhere on mapou but not in this segment, in which case AI considers them cross-category competitors. Reviewed monthly to inform panel additions.
The 20-prompt taxonomy
Every brand in this report is tested against the same 20 canonical prompts, spanning the four MVI dimensions (Discovery, Filtered Discovery, Comparison, Evaluation). The prompt set is fixed at methodology v1.0 and reused every monthly run, so MVI deltas are paired comparisons not noise.
The exact prompt templates and phase-weighting formula are part of mapou's proprietary methodology, shared with paying clients alongside custom benchmarks for their specific brand.
See the framework →Methodology v1.0. MVI is mapou's proprietary 0-100 visibility score across 5 AI engines and 4 buyer-intent dimensions. 95% Wilson confidence intervals. Equal engine weighting. See the framework →
Run yours
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