Marketing agency tools in the US: three models, three leaders across 86 answers (HubSpot, Ahrefs, SEMrush)
United States · Marketing agency toolsLeer en español
Do ChatGPT, Gemini and Claude recommend the same brands?
In marketing agency tools in United States, ChatGPT, Gemini and Claude name different leaders over the 4 weeks ending October 12, 2026: HubSpot, Ahrefs and SEMrush. The most recommended brand depends on which engine the person asks.
Record figures
- SEMrush
- 1.4%
- Answers naming the leader
- 19.8%
- Answers analysed
- 86
- Window
- 4-week window closed on October 12, 2026
- Models
- ChatGPT, Gemini, Claude
In the US benchmark for marketing agency tools, each model names a different leader across the 4-week window closed on October 12, 2026. ChatGPT names HubSpot first, Gemini names Ahrefs first and Claude names SEMrush first. Across the 86 answers analysed from ChatGPT, Gemini and Claude, HubSpot holds 2.1% of mentions and appears in 19.8% of the answers. Ahrefs sits at 3.5% of mentions, with 32 mentions in the window. SEMrush closes the top three.
For the brands competing in this category, the reference changes with the model. A brand sitting behind HubSpot in ChatGPT meets a different front-runner in Gemini and a third one in Claude. The shares are small in every case: the model with the strongest preference still spreads its mentions across many names, and the distance between the first two brands in the aggregate ranking stays narrow. The picture is three separate leaderboards that share the same three names in different orders, with a long tail of other tools filling most of the mentions in the window.
How I measured it
In the 4-week window closed on October 12, 2026 I gathered 86 answers from ChatGPT, Gemini and Claude about marketing agency tools in United States. The public benchmark measures every week which brands ChatGPT, Gemini and Claude name across 20 markets and 15 industries, in Spanish and in English. The models are queried through their APIs and without web search. Every mention is counted against a curated brand registry, with whole-word matching. Every brand that appears in a Quick Insight has been reviewed by a person. A brand's mention share is its part of the category's verified mentions in the period. The 95% interval is the margin of error of the share, calculated with the Wilson method. I calculate it on mentions and on answers. I publish a lead as clear when the second brand's share falls outside the leader's interval in both calculations. Inside it, it is a statistical tie.
Scope of the data
The figure covers the marketing agency tools category in United States, with prompts in English, on ChatGPT, Gemini and Claude, in the 4-week window closed on October 12, 2026; the models are queried through their APIs and without web search.
What to do with this figure
- Measure the brand with the same category prompts. Prompt Tracking runs prompts on the five engines.
- See which sources AI cites when it answers about the category. Prompt Tracking shows, for each prompt and model, the sources the answer cited, and AI Market Leaders groups them by brand.
- Review the site's technical signals with the GEO Score and the GEO Framework. The GEO Score scores the site from 0 to 100 on the four pillars of the GEO Framework. See Marco GEO
About AuraMetrics
AuraMetrics measures how a brand appears in AI answers and validates the technical implementation behind that presence. The GEO Score is calculated on the GEO Framework, a public four-pillar methodology. It analyzes the sources AI cites. It measures visibility in ChatGPT, Gemini, Google AI Mode, Perplexity and Claude. It checks whether a shopping agent can buy from a store, with UCP checks. It turns citation gaps into a content plan with drafts. It generates llms.txt, OKF and ARD files. It delivers shareable reports and runs as white label for agencies. It publishes a weekly benchmark across 20 markets and 15 industries, and the Observatory of brands in AI.