Answer Capsule
HubSpot AEO is a good fit for AEO content optimization if you already run HubSpot Marketing Hub or need low-cost AI-visibility monitoring across ChatGPT, Gemini, and Perplexity. Six of seven platforms named it during ranking discovery, with an average listed rank of 5.8 and a best rank of 1. Its strongest draw is the $50/month standalone price (or $45/month annual) combined with citation, share-of-voice, and sentiment tracking plus prioritized recommendations. The main limitation is depth: only three engines are tracked, Claude and Google AI Overviews are absent, prompt caps start at 25, and page-level content scoring or automated rewriting is not fully documented in public sources.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 6 of 7 platforms (anthropic, google, grok, kimi, openai, perplexity) |
| Share of included platform responses | 85.7% |
| Average listed rank | 5.83 |
| Best listed rank | 1 (google) |
| Relevant product/model/plan | HubSpot AEO standalone ($50/month or $45/month annual); HubSpot AEO in Marketing Hub Pro/Enterprise; free AI Search Grader |
| Overall use-case fit | Good (openai, anthropic, perplexity); Strong (grok); Mixed (google, deepseek); Uncertain (kimi) |
| Research date | 2026-09-18 |
Why HubSpot AEO Qualified for This Study
Questions This Section Answers
- Is HubSpot AEO a good choice for AEO Content Optimization Tools?
- How many AI platforms recommended HubSpot AEO for AEO content optimization?
HubSpot AEO qualified because six of the seven included platforms named it during ranking discovery, and it directly addresses the study's core criteria: identifying relevant questions, analyzing competing answers, improving content structure and completeness, and supporting Answer Engine Optimization [1]. Its average listed rank was 5.83, with google placing it first [5].
The product is a standalone AEO tool priced at $50/month, or $45/month billed annually, that tracks brand visibility across ChatGPT, Gemini, and Perplexity [1]. It also ships inside Marketing Hub Professional and Enterprise at no additional cost [6]. A free AI Search Grader provides a one-time brand check without an account [8].
HubSpot acquired xFunnel, an AEO company, earlier in 2026 and launched the AEO product in public beta on April 14, 2026 [10]. That acquisition and launch timeline explain why the tool appears in this category at all, and why several platforms flagged it as still maturing.
The Product, Model, Plan, or Service Most Relevant to AEO Content Optimization Tools
Questions This Section Answers
- Which HubSpot AEO plan should a buyer choose for AEO content optimization?
- Does HubSpot AEO require a Marketing Hub subscription, or can it be bought standalone?
The relevant offering is HubSpot AEO, sold three ways. The standalone plan costs $50/month or $45/month billed annually and includes 25 tracked prompts across three engines [13]. The same capability is included at no extra cost in Marketing Hub Professional and Enterprise, where it connects to CRM data and content tools [16]. A free AI Search Grader offers a one-time diagnostic across ChatGPT, Perplexity, and Gemini with no account required [19].
Platforms described the plan structure differently. Deepseek described HubSpot AEO as a beta module typically used with a HubSpot subscription such as Content Hub Starter or Marketing Hub [21]. Kimi could not confirm a standalone product at the stated price and treated the offering as unverified [22]. The current reviewed product page presents HubSpot AEO as a paid standalone product, so packaging should be confirmed in the buyer's own account and contract.
For AEO content optimization specifically, the Marketing Hub Pro or Enterprise path matters most, because CRM-powered prompt suggestions and in-platform content actions are tied to those tiers [23].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree HubSpot AEO does well for AEO content optimization?
- Does HubSpot AEO track competitor answers and citations across ChatGPT, Gemini, and Perplexity?
Agreement was strongest on coverage and core monitoring. Platforms consistently reported that HubSpot AEO tracks brand visibility across ChatGPT, Gemini, and Perplexity [26]. They also agreed it reports competitor share of voice, sentiment, and citation sources in one dashboard [30].
A second area of agreement was price accessibility. Multiple platforms cited $50/month or $45/month annual as one of the lowest entry points in the category [33]. A free 28-day trial was also widely reported, with one independent review calling it the longest trial it encountered among AI visibility platforms [36].
A third area was the recommendation layer. Platforms agreed HubSpot AEO converts citation-gap data into a prioritized action list with content type, channel, and content briefs [38]. One review described this as the bridge between insight and execution [39].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is HubSpot AEO strong enough for deep AEO content optimization, or is it mainly a monitoring dashboard?
- Which AI engines does HubSpot AEO fail to track, and does that matter for AEO content optimization?
Fit ratings diverged sharply. Grok rated HubSpot AEO a strong fit [40]. Openai, anthropic, and perplexity rated it good [41]. Google and deepseek rated it mixed [44]. Kimi rated it uncertain, stating it could not verify a standalone product at the stated price [46].
Engine coverage was the most consistent limitation. Platforms reported that Claude, Microsoft Copilot, Google AI Overviews, Google AI Mode, DeepSeek, and Grok are not tracked [47]. One source flagged Claude's omission as a gap given Anthropic's growing referral share [49].
Content optimization depth was disputed. Some platforms described prioritized recommendations with content briefs [51]. Others said the standalone tool is more monitoring than editing, that public sources do not clearly document a full content rewrite workflow, and that the content execution layer is roadmapped rather than live [52].
Attribution was another gap. One independent review stated HubSpot AEO cannot tell you whether anyone visited your site because of an AI answer, and that it does not connect to GA4 [55].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can HubSpot AEO identify the questions buyers ask AI engines, or must prompts be entered manually?
- Does HubSpot AEO improve content structure and completeness, or only report visibility gaps?
HubSpot AEO covers question identification, competing-answer analysis, and recommendation delivery, but with tier-dependent depth.
Question identification. The product page lists prompt tracking and suggestions [57]. Marketing Hub Pro and Enterprise users get prompts auto-generated from CRM data covering industries, competitors, and customer segments rather than generic industry questions [58]. Standalone users must define prompts manually and lose that differentiator [60]. One independent review reported that AI-generated prompts are not very high quality and do not always reflect a business's specific products [61].
Competing-answer analysis. HubSpot AEO shows which competitors appear in AI answers, tracks competitor share of voice, and analyzes sentiment [63]. Users can drill into individual prompts to see the exact AI responses returned, the sources and content types cited, and whether competitors are referenced and why [65].
Content structure and completeness. The Recommendations tab turns citation-gap data into a prioritized action list with content type, suggested channel, priority ranking, and a content brief for each item [66]. HubSpot's own guidance describes mapping user questions, structuring content for quick answers, adding schema markup, and using prioritized content recommendations [67]. Public materials do not fully document page-level content scoring or automated rewriting [57].
AEO support and execution. Brand visibility score, share of voice, sentiment, and citation sourcing are all reported [69]. In Marketing Hub Pro and Enterprise, teams can create blog posts, publish social posts, and draft content without leaving the platform [71]. The full content execution layer is roadmapped for later in 2026 [73].
Capacity. Standalone and Pro tiers support 25 prompts per day across three engines, up to roughly 2,500 answers per month; Enterprise supports 50 prompts [75]. Additional capacity can be added in blocks of 10 prompts [77].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does HubSpot AEO cost per month, and are there setup or cancellation fees?
- What does HubSpot AEO cost if a buyer needs Marketing Hub Pro or Enterprise instead of the standalone plan?
Published pricing is consistent across most sources: $50/month standalone, or $45/month billed annually, including 25 prompts across three engines [78]. The free AI Search Grader costs nothing and requires no account [82].
Costs beyond the base price are where sources diverge. One platform reported optional AEO Answers Limit Increase packs at $20/month each [84]. Another reported additional prompt blocks at roughly $1,000/month per 10-prompt block [85]. These figures conflict and should be verified directly.
Marketing Hub tiers carry substantially higher costs. Marketing Hub Professional starts at $800/month and Enterprise at $3,600/month when billed annually, with AEO included [86]. Onboarding fees were reported at $3,000 for Professional and $7,000 for Enterprise [88]. One source stated Marketing Hub Enterprise requires an annual commitment with no monthly flexibility [86].
Billing terms are disputed. One independent source stated the standalone tool does not currently list an annual billing option [89], while multiple other sources cite $45/month annual pricing [78]. Cancellation, refund, minimum-term, and renewal terms were not specified in the reviewed product page [78]. Pricing confidence was rated high by anthropic, grok, perplexity, and google, and low by deepseek and kimi [92].
Best Suited For
Questions This Section Answers
- Who gets the most value from HubSpot AEO for AEO content optimization?
- Is HubSpot AEO worth it for a small marketing team starting an AEO program?
HubSpot AEO fits best when the buyer already operates inside HubSpot or wants a low-cost entry into AI-visibility tracking. Platforms most often named HubSpot customers wanting AEO monitoring inside an existing CRM and marketing workflow [94]. One review put it plainly: if your CRM, content, marketing automation, and reporting are already in HubSpot, AEO becomes a logical add-on [95].
It also suits marketing teams that need coverage across ChatGPT, Gemini, and Perplexity without adding another platform [94]. Mid-market teams seeking an accessible entry point at $50/month with minimal onboarding friction were named as a good fit [98]. Companies beginning AEO programs that want a free baseline before purchasing paid monitoring are another match [100].
Content teams ready to act on recommendations using built-in HubSpot publishing workflows, especially on Pro or Enterprise tiers, were also named [102].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose HubSpot AEO for AEO content optimization?
- Is HubSpot AEO a poor fit for agencies managing multiple client brands?
Several buyer profiles were repeatedly flagged as poor fits. Agencies managing multiple client brands on separate HubSpot portals face per-portal pricing that scales inefficiently, and 25 prompts can disappear quickly across clients [104]. Teams requiring Claude or Microsoft Copilot tracking will not find them here [106].
Organizations needing attribution linking AI citations to website traffic or conversions are also a weak fit, because HubSpot AEO does not connect to GA4 [108]. Enterprises with complex multi-engine requirements were flagged, since competitors track 6-9+ engines [110].
Buyers needing independently validated citation-lift or revenue outcomes should look elsewhere, because the available evidence is predominantly HubSpot-owned [111]. Teams needing a mature specialist platform with extensively documented content-level optimization workflows were also named as poor fits [111].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to HubSpot AEO for a buyer who needs broader AI engine coverage?
- When is a standalone AEO platform a better choice than HubSpot AEO?
Platforms named specific alternatives for specific gaps. For broader engine coverage including Claude and Copilot, Profound, Otterly.ai, and ContentMonk were named as tracking 6-9+ platforms [113]. For agencies managing multiple client brands, standalone AEO platforms with multi-client workspaces were described as more cost-effective than HubSpot per-portal pricing [115].
For integrated content creation and publication, ContentMonk and AirOps were named as offering end-to-end workflows without separate tool licensing [113]. For GA4 or advanced attribution, Semrush, BrightEdge, or Peec AI were described as providing deeper SEO-to-AEO integration [117]. For deeper competitive analysis, Profound was described as offering more granular share-of-voice and prompt-level benchmarking [113].
For buyers outside the HubSpot ecosystem who do not want to adopt Marketing Hub, standalone tools were described as providing better data depth for a standalone investment [119]. One platform also suggested starting with the free HubSpot grader if the buyer only needs an initial diagnostic [121].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with HubSpot AEO before signing a contract?
- How many prompts and engines does the contracted HubSpot AEO plan actually include?
Buyers should confirm packaging first: whether they are purchasing standalone HubSpot AEO, a beta feature, or AEO bundled with Marketing Hub Pro or Enterprise [122]. They should also confirm which engines, geographic settings, languages, and answer types are included in the contracted plan [122].
Capacity questions matter next. Buyers should ask how many prompts, competitors, domains, users, reports, and historical data points are included, and what the price and expiration policy is for additional prompts [122]. They should confirm whether the product analyzes individual pages and competing answers, or only brand-level visibility and citations [122].
Commercial terms need verification. Buyers should ask about annual commitment, renewal, cancellation, refund, and beta-service terms, and whether CRM, contact, seat, onboarding, implementation, or support charges are added to the advertised price [122]. They should also ask what independent customer evidence exists for citation rate, visibility, qualified traffic, or revenue impact [122].
Final AI Consensus Verdict
HubSpot AEO is a good fit for AEO content optimization when the buyer is already in the HubSpot ecosystem or wants affordable AI-visibility monitoring across ChatGPT, Gemini, and Perplexity. Six of seven platforms named it, with an average listed rank of 5.83 and a best rank of 1. Its strongest case is price plus integration: $50/month standalone, included in Marketing Hub Pro and Enterprise, with citation analysis, competitor share of voice, sentiment, and prioritized recommendations [131].
Its limits are equally clear. Only three engines are tracked, Claude and Google AI Overviews are absent, prompt caps start at 25, there is no GA4 attribution, and page-level content scoring or automated rewriting is not fully documented [134]. The product launched in public beta in April 2026 and the content execution layer is still roadmapped [137].
Treat HubSpot AEO as a developing, platform-reported solution rather than a fully independently validated specialist content-optimization system. Verify packaging, prompt economics, page-level optimization depth, and total HubSpot subscription cost before purchase.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms: anthropic, deepseek, google, grok, kimi, openai, and perplexity. Each platform evaluated HubSpot AEO against the AEO Content Optimization Tools use case, covering question identification, competing-answer analysis, content structure and completeness, and Answer Engine Optimization support. Six of the seven platforms named HubSpot AEO during ranking discovery. The consensus index for this category is available at AEO Content Optimization Tools, and the broader directory is at ai seo content optimization.
Platform fit ratings were: strong (grok), good (openai, anthropic, perplexity), mixed (google, deepseek), and uncertain (kimi). All platform outputs were labeled platform-reported and not independently verified. Company-owned citations materially outnumbered independent citations in the supplied evidence.
Methodology Limitations
Several limitations apply. Company-owned citations materially outnumber independent citations, so HubSpot's capability and pricing claims should not be described as independently verified. Platform-reported research dates differ from the authoritative run date of 2026-09-18; deepseek reported a research date of 2026-01-15, and its search was disabled, so its claims require explicit verification before being treated as current.
Factual conflicts remain unresolved. Standalone billing flexibility is disputed: one source states no annual billing option exists for the standalone tool, while others cite $45/month annual pricing. Additional prompt pricing is reported as both $20/month per pack and roughly $1,000/month per 10-prompt block. Enterprise onboarding fee amounts were not disclosed in available sources. The content execution layer timing was described as roadmapped for later in 2026, but its status as of September 2026 was not confirmed.
Kimi could not verify that a standalone HubSpot AEO product exists at the stated price and treated the offering as unverified. The supplied URLs were collected from platform responses and were not independently validated. No personal testing, customer experience, or guaranteed performance claims are made in this review.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- AI Visibility Platform for Answer Engine Optimization | AEO Platform: https://aeo-platform.com/
- Answer Engine Optimization Services | Get Featured in AI…: https://aeoengine.ai/services/answer-engine-optimization
- AEO mentions vs. citations: Key differences explained - HubSpot Blog: https://blog.hubspot.com/marketing/aeo-mentions-vs-citations
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- How to Use HubSpot AEO Step-by-Step: https://knowledge.hubspot.com/aeo/how-to-use-hubspot-aeo
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- AI Search Grader: Free One-Time AEO Brand Check, No Account Required: https://www.hubspot.com/ai-search-grader
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- HubSpot AEO pricing discussion: https://www.hubspot.com/pricing/marketing
- HubSpot AEO | See How Your Brand Shows Up in AI Search: https://www.hubspot.com/products/aeo
- Answer Engine Optimization for Marketers | Breeze - HubSpot: https://www.hubspot.com/products/artificial-intelligence/use-cases/optimize-ai-search
- HubSpot AEO beta coverage: https://www.hubspot.com/products/marketing/aeo
- Show Up in AI Search with Answer Engine Optimization: https://www.hubspot.com/products/marketing/aeo-guide
- HubSpot AEO Tutorial: How to Show Up in AI Search: https://www.youtube.com/watch?v=6QjZUtx_CPo
Additional AI research evidence138 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-6-1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:source-11-5
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.5
- AI research evidence record anthropic:source-5-3
- AI research evidence record anthropic:source-35-6
- AI research evidence record anthropic:source-28-7
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:source-11-5
- AI research evidence record perplexity:c12
- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c9
- AI research evidence record google:1.4.1
- AI research evidence record deepseek:c3
- AI research evidence record kimi:hubspot-blog
- AI research evidence record anthropic:source-44-3
- AI research evidence record anthropic:source-30-5
- AI research evidence record google:1.3.6
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-8-1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source-6-1
- AI research evidence record anthropic:source-8-2
- AI research evidence record grok:5
- AI research evidence record anthropic:source-18-12
- AI research evidence record anthropic:source-10-13
- AI research evidence record grok:1
- AI research evidence record anthropic:source-10-15
- AI research evidence record anthropic:source-43-9
- AI research evidence record anthropic:source-36-5
- AI research evidence record anthropic:source-36-6
- AI research evidence record grok:5
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-42-3
- AI research evidence record perplexity:c1
- AI research evidence record google:2.2.9
- AI research evidence record deepseek:c3
- AI research evidence record kimi:hubspot-blog
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-38-9
- AI research evidence record anthropic:source-35-1
- AI research evidence record anthropic:source-35-2
- AI research evidence record anthropic:source-36-5
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:source-38-2
- AI research evidence record anthropic:source-6-10
- AI research evidence record anthropic:source-28-2
- AI research evidence record anthropic:source-28-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-30-5
- AI research evidence record anthropic:source-35-10
- AI research evidence record anthropic:source-44-3
- AI research evidence record anthropic:source-10-10
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:source-6-1
- AI research evidence record anthropic:source-3-2
- AI research evidence record anthropic:source-4-3
- AI research evidence record anthropic:source-36-5
- AI research evidence record openai:c3
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:source-8-1
- AI research evidence record anthropic:source-8-2
- AI research evidence record anthropic:source-43-4
- AI research evidence record anthropic:source-6-8
- AI research evidence record anthropic:source-38-2
- AI research evidence record anthropic:source-6-10
- AI research evidence record anthropic:source-30-9
- AI research evidence record google:2.2.8
- AI research evidence record anthropic:source-30-11
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source-10-13
- AI research evidence record google:1.1.4
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:source-30-11
- AI research evidence record anthropic:source-13-7
- AI research evidence record google:2.4.2
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:source-18-21
- AI research evidence record perplexity:c3
- AI research evidence record grok:1
- AI research evidence record deepseek:c4
- AI research evidence record kimi:hubspot-blog
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-37-7
- AI research evidence record anthropic:source-37-3
- AI research evidence record anthropic:source-3-2
- AI research evidence record anthropic:source-10-2
- AI research evidence record anthropic:source-18-12
- AI research evidence record openai:c2
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:source-43-1
- AI research evidence record anthropic:source-43-4
- AI research evidence record anthropic:source-37-14
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-38-9
- AI research evidence record anthropic:source-28-2
- AI research evidence record anthropic:source-28-3
- AI research evidence record anthropic:source-42-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-41-1
- AI research evidence record anthropic:source-42-4
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-37-14
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source-28-3
- AI research evidence record google:2.3.5
- AI research evidence record anthropic:source-42-3
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:source-36-10
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:source-30-11
- AI research evidence record perplexity:c11
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:source-13-7
- AI research evidence record anthropic:source-41-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-6-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-28-3
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:source-35-6
- AI research evidence record anthropic:source-38-2
Independent Sources
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- 5 Best HubSpot AEO Alternatives (2026): Top GEO & AI Search Tools: https://www.youtube.com/watch?v=INdSKcgdzzw
Additional AI research evidence138 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-6-1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:source-11-5
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.5
- AI research evidence record anthropic:source-5-3
- AI research evidence record anthropic:source-35-6
- AI research evidence record anthropic:source-28-7
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:source-11-5
- AI research evidence record perplexity:c12
- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c9
- AI research evidence record google:1.4.1
- AI research evidence record deepseek:c3
- AI research evidence record kimi:hubspot-blog
- AI research evidence record anthropic:source-44-3
- AI research evidence record anthropic:source-30-5
- AI research evidence record google:1.3.6
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-8-1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source-6-1
- AI research evidence record anthropic:source-8-2
- AI research evidence record grok:5
- AI research evidence record anthropic:source-18-12
- AI research evidence record anthropic:source-10-13
- AI research evidence record grok:1
- AI research evidence record anthropic:source-10-15
- AI research evidence record anthropic:source-43-9
- AI research evidence record anthropic:source-36-5
- AI research evidence record anthropic:source-36-6
- AI research evidence record grok:5
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-42-3
- AI research evidence record perplexity:c1
- AI research evidence record google:2.2.9
- AI research evidence record deepseek:c3
- AI research evidence record kimi:hubspot-blog
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-38-9
- AI research evidence record anthropic:source-35-1
- AI research evidence record anthropic:source-35-2
- AI research evidence record anthropic:source-36-5
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:source-38-2
- AI research evidence record anthropic:source-6-10
- AI research evidence record anthropic:source-28-2
- AI research evidence record anthropic:source-28-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-30-5
- AI research evidence record anthropic:source-35-10
- AI research evidence record anthropic:source-44-3
- AI research evidence record anthropic:source-10-10
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:source-6-1
- AI research evidence record anthropic:source-3-2
- AI research evidence record anthropic:source-4-3
- AI research evidence record anthropic:source-36-5
- AI research evidence record openai:c3
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:source-8-1
- AI research evidence record anthropic:source-8-2
- AI research evidence record anthropic:source-43-4
- AI research evidence record anthropic:source-6-8
- AI research evidence record anthropic:source-38-2
- AI research evidence record anthropic:source-6-10
- AI research evidence record anthropic:source-30-9
- AI research evidence record google:2.2.8
- AI research evidence record anthropic:source-30-11
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source-10-13
- AI research evidence record google:1.1.4
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:source-30-11
- AI research evidence record anthropic:source-13-7
- AI research evidence record google:2.4.2
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:source-18-21
- AI research evidence record perplexity:c3
- AI research evidence record grok:1
- AI research evidence record deepseek:c4
- AI research evidence record kimi:hubspot-blog
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-37-7
- AI research evidence record anthropic:source-37-3
- AI research evidence record anthropic:source-3-2
- AI research evidence record anthropic:source-10-2
- AI research evidence record anthropic:source-18-12
- AI research evidence record openai:c2
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:source-43-1
- AI research evidence record anthropic:source-43-4
- AI research evidence record anthropic:source-37-14
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-38-9
- AI research evidence record anthropic:source-28-2
- AI research evidence record anthropic:source-28-3
- AI research evidence record anthropic:source-42-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-41-1
- AI research evidence record anthropic:source-42-4
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-37-14
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source-28-3
- AI research evidence record google:2.3.5
- AI research evidence record anthropic:source-42-3
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:source-36-10
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:source-30-11
- AI research evidence record perplexity:c11
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:source-13-7
- AI research evidence record anthropic:source-41-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:source-6-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source-36-10
- AI research evidence record anthropic:source-28-3
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:source-35-6
- AI research evidence record anthropic:source-38-2
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 47
- Ranking mentions
- 6 of 7
- Platform share
- 86%
- Final consensus rank
- #2
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
22 independent · 25 company-owned
Evidence support
25 direct · 3 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 1a4ee34da53848947de409a3da99efd25b1e718176552925dc42cac4864fa9ae