AI names Verizon most in residential telecom, 2 points clear

When buyers ask AI assistants questions like “What are the best residential telecom options available for US households in 2026, including wireless mobile carriers, cable and fiber internet, fixed wireless 5G home internet, and satellite internet?” or “What are the best affordable residential telecom options in the US for 2026, including wireless mobile carriers, cable and fiber internet, fixed wireless 5G home internet, and satellite internet, all under $50 per month?”, a small set of residential telecomget cited every time. Most don't. This report measures which.

Who AI cites most

Verizon is cited in 76 of 100 prompt-engine pairs (76%). 95% confidence interval 69-85.

Concentration

The top 3 brands (Verizon, T-Mobile, AT&T) 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: 2 in default-choice, 7 in repeat-use, 3 in first-encounter, 8 not yet cited. Overall, AI cites a brand from this segment in 36% of buyer-intent prompt-engine pairs.

Engine asymmetry

Verizon is cited in 100% of ChatGPT prompts but only 0% on Gemini, visibility is engine-specific, not universal.

Phase flip

T-Mobile actually outperforms Verizon on Discovery prompts, overall Panel Score hides this category-specific strength.

Wildcard competitor

AI also cites Viasat 105 times across these prompts, even though it is not on our tracked-brand list. A citation-share leak worth investigating.

Average Panel Score across the segment is 39.

Analyst note. Verizon and T-Mobile lead with Panel Scores of 78 and 76 on ChatGPT and Claude engines.

Verizon and T-Mobile are close competitors with Panel Scores of 78 and 76. They perform well on ChatGPT and Claude, with Verizon scoring 100 on both and T-Mobile scoring 95 and 100. AT&T follows with a Panel Score of 74, showing strength at 80 in the comparison phase. Google Fiber has a presence on ChatGPT with a score of 73 but struggles on other engines.

Risk. Verizon and T-Mobile are not visible on the Gemini engine, which could allow competitors to gain ground.

Ranked by Panel Score, a 0 to 100 score that weights four buying phases: Discovery, Filtered Discovery, Comparison and Evaluation. Citations count fully and mentions count at half weight; engines are weighted equally. Spread is the gap between a brand's best and worst engine: under 15pp is durable, 50pp and up is engine-dependent. Engine columns count the prompts (out of 20) where that engine cited the brand as a recommendation.

Default choice (75+)

AI's go-to recommendation in residential telecom. The tier other brands are competing into.

Repeat use (50 to 74)

Cited often enough to feel reliably present across prompts and engines. One signal away from default.

First encounter (25 to 49)

Discovered and cited occasionally, but visibility is inconsistent. Real to AI, not yet trusted.

Not yet cited (0 to 24)

AI does not surface this brand for buyer-intent prompts in residential telecom.

How often each engine cites a brand from this category as a recommendation, averaged across all 20 brands tested. Perplexity and Grok search the live web; ChatGPT and Claude lean more on trained knowledge; Gemini blends both.

Citation rate by buying phase, averaged across all brands tested.

Each cell is the brand's citation rate for that phase, shaded darker as the rate rises. A solid dark row is a durable brand: AI cites it across the whole funnel. Dark on the left and pale on the right is awareness without recommendation, the demand-leak pattern. Pale on the left and dark on the right is a brand AI weighs in Comparison and Evaluation but does not surface in Discovery.

Derived metrics computed from the same data, showing how this segment behaves on AI search. The State of AI Search compares them across segments.

Aggregated across every brand, prompt and engine combination tested. These are the names AI surfaces when buyers ask about residential telecom.

Ranked by mention count and engine breadth. These are panel candidates: brands AI treats as part of the category even though we are not measuring them yet. Open a row to read the AI quote that surfaced it.

Each is a category-specific decision drawn from this month's data, with the mapou service that puts it into practice.

1. Concentration risk

   In residential telecom, AI effectively recommends 13.4 of 20 tracked brands. The top brand captures 10% 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.

2. Engines split

   Engines disagree on the residential telecom leaderboard. Mean cross-engine agreement is only 0.52 (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.

3. Visibility tier mix

   In residential telecom, 2 of 20 tracked brands clear Panel Score 75 (default-choice tier). 8 are below Panel Score 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 20 canonical prompts span the four Panel Score phases (Discovery, Filtered Discovery, Comparison, Evaluation). The set is fixed at methodology v1.0 and reused every monthly run, so Panel Score changes 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 brand. See the framework.