How AI Search Is Recommending Domain Registrars: Monthly Trends

Executive Summary

The category has a new coverage leader. Porkbun holds the top position in October 2026 with 61.9% valid recommendation coverage, 0.3 points ahead of Namecheap at 61.6%. The lead changed hands after Namecheap's September dip, and the October result restores both leaders to the level they held in August, when Namecheap led at 62.7% and Porkbun sat at 53.9%.

Porkbun was the strongest upward mover among brands with meaningful coverage, rising 6.3 points from 55.6% in September to 61.9% in October, a move the benchmark classifies as significant. Namecheap rose 5.9 points from 55.7% to 61.6%, also significant, and both brands remain far ahead of the field: the next closest brand, Dynadot at 26.4%, sits 35.2 points behind Namecheap.

No tracked brand was classified as a significant decliner this month. The sharpest downward movement among the mid-tier came from Name.com, which slipped 0.3 points from 4.0% in September to 3.7% in October, its second consecutive monthly decline. GoDaddy recorded the largest recovery in the mid-tier, up 4.5 points to 24.8%.

Against the July 2026 baseline, when no tracked brand appeared in any AI recommendation across 672 observations, every brand except Network Solutions now records significant movement. Porkbun has risen every month since August, a three-month upward streak, while Namecheap and GoDaddy each reversed September declines to resume their prior trajectories.

The October 2026 benchmark began with 800 prompt-surface observations (588 unique questions) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 774 were relevant and 26 were irrelevant. The public metrics use the 645 observations that survive both qualification stages. For comparison, the July 2026 run began with 800 prompts (525 unique questions) with 789 relevant and 11 irrelevant, qualifying 672 observations; the September 2026 run began with 800 prompts (591 unique questions) with 780 relevant and 20 irrelevant, qualifying 675 observations. The August 2026 run qualified 675 observations from 800 prompts (577 unique questions).

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which companies had conflicting claims flagged here, and what did the AI platforms disagree about?
• How did the underlying sources split on the IONOS and GoDaddy WHOIS privacy cost conflict?
• What caused the Squarespace .com price conflict between Google AI Overviews and Copilot?

The current benchmark detected 4 critical or high-severity factual inconsistencies across 4 AI platforms: ChatGPT, Copilot, Google AI Mode, and Google AI Overviews. These are instances where two AI platforms gave conflicting answers to the same question about the same company, with high confidence in the conflict classification.

IONOS

The benchmark flagged two high-severity inconsistencies for IONOS, both at 0.95 and 0.9 confidence. The first concerns domains under management. When asked "Who are the largest domain registrars?", ChatGPT stated IONOS manages roughly 6 to 7 million domains, citing nTLDData, CyberNews, and WebAtla. Copilot stated IONOS manages roughly 22 million domains, citing Domain Name Wire and DotUpTech. The flagged sources show the split clearly: nTLDData records IONOS SE at 5.96 million domains and Domain Name Wire lists IONOS at 5,743,915, both siding with the ChatGPT figure, while DotUpTech lists IONOS SE at approximately 22 million domains, siding with Copilot. The two figures cannot both describe the same registrar's portfolio.

The second IONOS inconsistency concerns WHOIS privacy cost, a pricing conflict rated at 0.9 confidence. When asked "Where can I buy the cheapest domains?", Google AI Mode stated that IONOS frequently charges extra for basic privacy protection, citing Cloudflare and Reddit. Copilot stated that privacy is free, citing DigitalHosting and HowToHosting. The flagged excerpts from DigitalHosting assert that privacy is free at every registrar covered, with a five-year comparison noting privacy free, while the Google AI Mode side cites a comparison suggesting some registrars add fees. Responses differed on a directly comparable cost attribute.

GoDaddy

One high-severity pricing inconsistency was flagged for GoDaddy at 0.95 confidence, concerning WHOIS privacy cost. When asked "Which is the best site to buy domains?", Google AI Mode stated that GoDaddy adds separate fees for basic privacy features, citing Reddit and YouTube comparison content. Copilot stated that GoDaddy WHOIS Privacy is free, citing Hostinger, Best Domain Registrars, and SideBySideDomains. The flagged Hostinger excerpt lists GoDaddy promotional pricing with standard renewal rates alongside a privacy column marked as included. The two platforms presented incompatible claims about the same company's privacy pricing.

Squarespace

One high-severity pricing inconsistency was flagged for Squarespace at 0.95 confidence, concerning the standard .com domain price. When asked "How much does a Google domain cost?", Google AI Overviews stated $20 per year for a standard .com through Squarespace, citing Squarespace's own support documentation and BrilliantAuthor. Copilot stated $12 per year for a standard .com, citing ScienceSpot, KnowledgeAtlas, and ITQlick. The flagged sources show the divergence in pricing references: ITQlick lists Google Domains at $12 per year for a .com, while BrilliantAuthor notes that the historical Google price was $12 and that the same domain through Squarespace is currently priced differently. These two answers cannot both state the correct current price.

Benchmark Context

Questions This Section Answers

• How is the qualified benchmark set different from the raw prompt observations?
• What happened to the qualified observation count between July 2026 and October 2026?

The benchmark separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Benchmark-Level Metrics

The core metrics below track the category from the dormant July baseline to October. August and September detail is covered in prose only, per the series baseline rule.

October recorded 330 recommendation-shaped answers and a 68.7% valid recommendation shortlist share, both the highest in the four-month series. The qualified observation count of 645 is the lowest of the series, reflecting a lower eligible count after qualification (645 eligible from 774 relevant, against 672 eligible from 789 relevant in July). September's qualified count was 675, with 384 valid shortlists at a 56.9% share.

AI Recommendation Trend

Questions This Section Answers

• Who leads the category in October 2026, and how close is the gap at the top?
• How far ahead are Porkbun and Namecheap of the closest challenger?
• Which brands moved most between September and October 2026?

A New Leader Emerges as the Top Two Pull Clear

Porkbun takes the lead at 61.9% and Namecheap follows at 61.6%, a 0.3-point gap at the top. The two leaders now sit more than 35 points ahead of Dynadot (26.4%), the closest challenger, and the mid-tier has repositioned beneath them.

Because July was a dormant baseline, the more instructive comparison is September to October. Porkbun and Namecheap each exceeded normal month-to-month variation in an upward direction this month, while no brand exceeded it downward. The remaining category-level change came from a combination of smaller upward movements in the mid-tier, with Name.com the only brand whose September-to-October movement was negative.

What Changed This Month

Questions This Section Answers

• Which registrar drove the biggest September-to-October gain, and on which metrics did it lead?
• Why did Namecheap's full recovery still leave it behind Porkbun?
• Why does GoDaddy have the widest presence-to-recommendation gap in the category?

Porkbun: Leader in Coverage, Top-Three, and Rank-One

Porkbun rose 6.3 points from 55.6% coverage in September to 61.9% in October 2026, with 399 valid recommendations out of 645 qualified observations. That movement exceeded the category's normal month-to-month variation, and it follows a two-month series of smaller gains, giving Porkbun a three-month upward streak that began with its August emergence at 53.9%. Against the July baseline of 0.0%, the cumulative rise is 61.9 points.

Porkbun leads the category on placement as well as coverage. Its top-three rate reached 53.0% with 342 observations, and its rank-one rate reached 18.3% with 118 rank-one observations, both the highest in the category. Raw mention presence rose to 74.9%, with 483 presence observations, and its net sentiment score of 0.9 remained the strongest in the benchmark, with 417 positive mentions against zero negative mentions.

The distinction to notice is that Porkbun now converts presence into recommendation credit at the highest rate in the category, moving from second position in September to first in October across coverage, top-three, and rank-one simultaneously.

Highest-priority diagnostic: which surfaces and prompt types drove the 6.3-point October gain, and whether the top-three rate of 53.0% is concentrated on specific AI surface families.

Namecheap: Recovery Restores the Prior Peak, but the Lead Slips Away

Namecheap rose 5.9 points from 55.7% coverage in September to 61.6% in October 2026, with 397 valid recommendations. The movement exceeded normal month-to-month variation. It reverses September's 7.0-point decline and returns the brand to roughly its August level of 62.7%, though the top position now sits with Porkbun by 0.3 points.

Placement strengthened alongside coverage. The top-three rate rose from 36.3% in September to 51.6% with 333 observations, and the rank-one rate rose from 8.6% to 17.1% with 110 rank-one observations. Raw mention presence held at 97.7%, with 630 presence observations, and net sentiment improved from 0.6 to 0.7, with 426 positive mentions against 4 negative mentions.

The distinction to notice is that Namecheap's presence is effectively universal and its recommendation credit recovered fully, yet it no longer holds first position. The September dip and October recovery together show that the top of this category moves in tight ranges between two brands.

Highest-priority diagnostic: which prompt types placed Porkbun ahead of Namecheap in October, and whether the difference is a coverage effect or a rank-one placement effect.

GoDaddy: Presence vs. Recommendation Credit Remains the Widest Gap in the Category

GoDaddy rose 4.5 points from 20.3% coverage in September to 24.8% in October 2026, with 160 valid recommendations. That movement sat at the threshold of normal month-to-month variation, and it recovers most of September's 5.3-point decline, leaving the brand fourth in the category behind Dynadot.

Raw mention presence held at 94.6%, with 610 presence observations, the second-highest in the benchmark behind Namecheap. The top-three rate improved from 7.6% in September to 13.0% with 84 observations, and the rank-one rate rose from 2.7% to 3.7% with 24 rank-one observations. Net sentiment returned to roughly neutral at 0.0, with negative mentions at 170 and positive mentions at 172 across 610 observations. Negative visibility remained elevated at 26.4% of qualified observations.

The distinction to notice is that GoDaddy appears in nearly every observation but converts that presence into 24.8% coverage, a gap wider than any other brand's. The October recovery in coverage and placement came alongside essentially flat sentiment.

Highest-priority diagnostic: whether the persistent presence-to-recommendation gap is concentrated on specific surfaces, and which evidence sources frame the brand negatively.

Dynadot: Steady Third, With Top-Three Improving

Dynadot rose 2.0 points from 24.4% coverage in September to 26.4% in October 2026, with 170 valid recommendations. The movement was within normal month-to-month variation, and Dynadot now holds a three-month upward streak since its August emergence, with coverage rising from 24.3% in August, to 24.4% in September, to 26.4% in October. Against the July baseline of 0.0%, the cumulative rise is 26.4 points.

Placement improved more sharply than coverage. The top-three rate rose from 4.9% in September to 9.8% with 63 observations, a movement exceeding normal variation, and the rank-one rate rose from 0.0% to 0.5% with 3 rank-one observations. Raw mention presence held near 37.2%, with 240 presence observations, and net sentiment rose to 0.8, with 190 positive mentions against zero negative mentions, second only to Porkbun.

The distinction to notice is that Dynadot's top-three rate nearly doubled in October while its coverage moved modestly, meaning its placement strength is improving faster than its overall recommendation share.

Highest-priority diagnostic: which surfaces contribute the 63 top-three observations, and whether the improvement is durable or concentrated in a single surface family.

Squarespace: Modest Recovery, Wide Presence-to-Placement Gap

Squarespace rose 2.7 points from 19.6% coverage in September to 22.3% in October 2026, with 144 valid recommendations. The movement was within normal month-to-month variation, and it recovers part of September's 4.0-point decline, leaving the brand fifth in the category.

Raw mention presence held at 52.9%, with 341 presence observations. The top-three rate rose from 4.9% in September to 7.1% with 46 observations, and the rank-one rate rose from 0.9% to 1.2% with 8 rank-one observations. Net sentiment improved from 0.3 to 0.4, with 148 positive mentions against 14 negative mentions. The brand's coverage remains roughly 30 points below its raw mention presence.

The distinction to notice is that Squarespace's presence is more than double its coverage, a conversion gap second only to GoDaddy's in the category.

Highest-priority diagnostic: which prompts capture the brand in comparison framing rather than recommendation framing, and whether the gap is surface-specific.

IONOS, Name.com, and Domain.com: Low Coverage, Divergent Signals

IONOS rose 0.7 points from 7.4% coverage in September to 8.1% in October 2026, with 52 valid recommendations. The movement was within normal monthly variation. Its top-three rate rose from 1.5% to 3.1% with 20 observations, and the rank-one rate moved from 0.0% to 0.3% with 2 rank-one observations. Raw mention presence held at 28.8%, with 186 presence observations. Net sentiment was 0.1, with 54 positive mentions against 38 negative mentions, and negative visibility reached 5.9% of qualified observations.

Name.com slipped 0.3 points from 4.0% coverage in September to 3.7% in October 2026, with 24 valid recommendations. This is the second consecutive monthly decline and the only negative September-to-October movement in the category, though it fell within normal variation. Its top-three rate rose from 0.6% to 1.6% with 10 observations, and the rank-one rate rose from 0.0% to 0.5% with 3 rank-one observations. Raw mention presence fell from 17.2% to 13.2%, with 85 presence observations. Net sentiment rose to 0.2.

Domain.com rose 0.9 points from 1.6% coverage in September to 2.5% in October 2026, with 16 valid recommendations. The movement was within normal variation. Its top-three rate remained at 0.0% with no top-three observations and no rank-one observations. Raw mention presence held at 17.8%, with 115 presence observations. Net sentiment remained negative at negative 0.2, with 36 negative mentions against 17 positive mentions.

The distinction to notice is that these three brands carry comparable presence levels but divergent recommendation outcomes: IONOS converts 28.8% presence into 8.1% coverage, Name.com converts 13.2% into 3.7%, and Domain.com converts 17.8% into 2.5% with no top-three placement at all. Small counts matter here: Domain.com's 16 valid recommendations, Name.com's 24, and IONOS's 52 are meaningful signals within the 645-observation set even at low percentages.

Highest-priority diagnostic: whether these brands' limited placement reflects the surfaces where they appear, their sentiment profile, or the evidence sources AI systems draw on for each.

Network Solutions: Minimal Footprint, Widening Gap

Network Solutions recorded 0.3% coverage in October 2026, up 0.2 points from 0.1% in September, with just 2 valid recommendations out of 645 observations. The movement was not significant. The brand held raw mention presence of 18.8%, with 121 presence observations, but zero top-three and zero rank-one placements. Its net sentiment score remained negative at negative 0.2, with 27 negative mentions against 2 positive mentions.

The distinction to notice is that Network Solutions is the only tracked brand the benchmark classifies as stable rather than a significant riser, and its coverage-to-presence gap of 18.5 points is the widest in the category. The notable-gaps series shows its coverage gap to Porkbun widening every month of the series, reaching 61.6 points in October.

Highest-priority diagnostic: which prompts produce the negative framing, and whether the 2 valid recommendations reveal any surface or prompt pattern.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters does the October 2026 benchmark actually measure?
• Why can't the benchmark yet answer commercial questions about pricing or head-to-head comparison?

All 645 qualified observations in October 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters registered zero qualified observations, so the public benchmark cannot yet answer commercial questions about price positioning, value perception, or head-to-head comparison outcomes. That limitation is notable given the AI Response Inconsistency Alerts above, where four of the flagged conflicts concern pricing attributes for IONOS, GoDaddy, and Squarespace. The qualified benchmark tracks recommendation behavior; pricing conflicts surfaced in the raw response set are not currently measured within the public denominator.

Brand Opportunity Summary

The benchmark identifies where attention is warranted across the category; a company-level analysis is needed to explain why specific brands win or lose recommendation credit.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations, including the 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.

This report is part of CiteWorks Studio's AI Visibility Industry Market research program:

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

Interpretation Notes

• This category moved from a zero-recommendation baseline in July to a competitive landscape from August onward. Movement from July reflects emergence; movement between the populated months reflects competitive change.
• Small counts matter: Network Solutions' 2 valid recommendations, Domain.com's 16, and Name.com's 24 are meaningful signals within a 645-observation qualified set, even though percentages are low.
• The qualified denominator (672 in July, 645 in October) is the basis for all brand-level percentages in this report. The October denominator is smaller than prior months because fewer prompts survived qualification, so month-to-month percentage comparisons should be read alongside the underlying counts.
• Movement identifies changes worth investigating; it does not establish cause. Net sentiment scores reflect mention framing, not customer sentiment.
• August and September figures are cited in prose where the intermediate month provides the sharper comparison; the table columns remain July and October per the series baseline.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit the questions that determine commercial impact: which high-intent prompts does a brand win, which competitor takes the recommendation when a brand loses, what attributes do AI systems associate with each option, and which external sources shape those answers. For Porkbun, the question is whether its three-month rise reflects a durable shift at the top or surface-specific gains. For Namecheap, the question is why a full recommendation recovery still left it 0.3 points behind. For GoDaddy and Squarespace, the question is whether their wide presence-to-coverage gaps trace to specific surfaces or to how AI systems frame them. For IONOS, GoDaddy, and Squarespace, the flagged pricing inconsistencies raise a further question about which source pages AI systems rely on when cost attributes conflict.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The benchmark shows the aggregate picture; the audit reveals the mechanics beneath it.

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