Answer Capsule
HubSpot AEO is a good fit for companies that want affordable, lightweight AI-search visibility measurement and early-stage GEO optimization, especially if they already use HubSpot. Two of six platforms named it during the ranking stage (kimi and perplexity), giving it a 33% share of included platform responses, an average listed rank of 5.5, and a best listed rank of 1. The strongest reason to consider it is the low $50/month standalone entry price covering prompt tracking, competitor share of voice, sentiment, and citation analysis across ChatGPT, Gemini, and Perplexity. The main limitation is narrow engine coverage and unverified depth for citation-architecture mapping, content-gap modeling, and revenue attribution.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 6 platforms (kimi, perplexity) |
| Share of included platform responses | 33.3% |
| Average listed rank | 5.5 |
| Best listed rank | 1 (kimi) |
| Relevant product/model/plan | HubSpot AEO standalone subscription ($50/month; $45/month annually) and free AEO Grader |
| Overall use-case fit | Good (five platforms rated good; kimi rated uncertain) |
| Research date | 2026-09-19 |
Why HubSpot AEO Qualified for This Study
Questions This Section Answers
- Is HubSpot AEO a good choice for AI Content Optimization Partners for Strategy and Measurement?
- How many AI platforms named HubSpot AEO during the ranking stage for this use case?
HubSpot AEO qualified because it directly addresses several criteria in this use case — prompt identification, visibility measurement, competitor benchmarking, and citation analysis — at a price point that makes it accessible to mid-market content programs. It was named by two of the six included platforms during ranking discovery, with kimi placing it first and perplexity placing it tenth [1].
Five of six platforms rated the fit "good"; kimi rated it "uncertain," citing an inability to verify the product through public search as of September 2026 [3]. That disagreement is material and is preserved throughout this review. Company-owned citations materially outnumber independent citations in the supplied evidence, so HubSpot's own product claims should not be read as independently verified.
The product is relevant to this use case because it combines prompt tracking, brand visibility scoring, competitor share of voice, sentiment, and citation analysis in one subscription, and it can be purchased without adopting HubSpot CMS or a full Marketing Hub plan [1].
The Product, Model, Plan, or Service Most Relevant to AI Content Optimization Partners for Strategy and Measurement
Questions This Section Answers
- Which HubSpot AEO plan should a buyer choose for AI Content Optimization Partners for Strategy and Measurement?
- Does HubSpot AEO require a Marketing Hub subscription, or can it be bought standalone?
The relevant offering is the HubSpot AEO standalone subscription, priced at $50/month or $45/month when billed annually, plus the free AEO Grader for one-time diagnostics [5]. The standalone plan includes 25 tracked prompts and 2,500 answers per month across ChatGPT, Gemini, and Perplexity [8].
HubSpot states the standalone product does not require HubSpot CMS or another HubSpot subscription [10]. HubSpot's help center separately frames access as requiring Marketing Hub Professional or Enterprise, or a HubSpot AEO subscription [11]. These statements are not necessarily contradictory, but plan-access boundaries are not fully clear from the reviewed materials.
Marketing Hub Professional and Enterprise add CRM-powered prompt suggestions and the ability to act on recommendations inside HubSpot content and social tools [12]. The incremental cost of those tiers was not established from the reviewed sources.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree HubSpot AEO does well for AI visibility measurement?
- Is HubSpot AEO's $50/month standalone pricing confirmed across multiple platforms?
Platforms broadly agreed on four points. First, pricing: multiple platforms reported $50/month standalone, with a $45/month annual rate [13]. Second, engine coverage: the product tracks ChatGPT, Gemini, and Perplexity [17]. Third, core measurement features: brand visibility, competitor share of voice, sentiment, and citation analysis showing which domains, pages, and content types appear in AI answers [20]. Fourth, low entry cost and standalone availability without a full HubSpot subscription [17].
Platforms also agreed the product generates prioritized recommendations tied to citation gaps and competitor visibility [23]. Agreement among AI platforms reflects overlapping source material, not independent proof of product quality.
Where the AI Platforms Disagreed or Were Uncertain
Platforms diverged on three issues. First, product verifiability: kimi reported that no public documentation, pricing page, or third-party review confirmed the product's existence as of September 2026, and rated fit "uncertain" [26]. The other five platforms retrieved HubSpot product pages and rated fit "good." This conflict is unresolved in the supplied evidence.
Second, citation-architecture depth: openai and perplexity both flagged that public materials do not clearly verify a dedicated citation-architecture graph, a first-party versus third-party gap taxonomy, or full entity/topic-map functionality [27]. Anthropic described citation analysis as limited to sources appearing in tracked prompts [29].
Third, product maturity: one HubSpot listing describes the product as beta, and Google's research notes it launched in public beta on April 14, 2026 [27]. Feature-stability commitments should be verified.
Pricing also shows a minor internal conflict: product pages state $50/month standalone while some materials show $45/month annual, and the reviewed catalog emphasizes the $50/month base [27].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does HubSpot AEO identify commercially important prompts and measure citation visibility for a large content program?
- Can HubSpot AEO map citation architecture and first-party versus third-party content gaps?
Prompt identification and tracking: HubSpot AEO suggests prompts using company, competitor, and industry context, supports manually added questions, and tracks visibility at the individual-prompt level [32]. Users can filter by answer engine, buyer-journey phase, and product or service relevance [34]. The standalone plan includes 25 prompts; additional capacity is sold separately [35].
Recommendation and citation visibility: the product reports brand visibility, sentiment, competitor share of voice, and citation analysis across ChatGPT, Gemini, and Perplexity [32]. Citation analysis identifies domains, pages, and content types, including owned content, competitor domains, social platforms, and user-generated content [38].
Competitor and source-pattern analysis: HubSpot states AEO compares competitor visibility and share of voice and shows which sources drive brand and competitor visibility [40]. Public materials do not establish the depth of source clustering, weighting, or historical export functionality [32].
Citation architecture and content-gap mapping: the product exposes cited domains, pages, and content types and provides prioritized recommendations with content briefs, including suggested titles, audiences, and citation patterns [41]. Public documentation does not clearly verify a dedicated citation-architecture graph or a comprehensive first-party versus third-party gap taxonomy [32].
Content optimization and ongoing GEO strategy: HubSpot positions AEO as converting visibility data into recommendations for content to create or update [40]. Marketing Hub Pro and Enterprise add CRM-powered recommendations and in-platform execution [32]. The standalone product appears more measurement-and-recommendation oriented than a complete managed GEO strategy service [32].
Measurement reliability and coverage: the free grader is explicitly a one-time snapshot; ChatGPT and Gemini results are based on training data while Perplexity uses live search [46]. HubSpot documents 4–8 weeks to initial citation appearances with significant variation by topical competition [47]. Public materials do not independently validate score comparability, sampling methodology, or business-outcome attribution [32].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does HubSpot AEO cost per month, and what do additional prompts cost?
- What contract, trial, and cancellation terms apply to the HubSpot AEO standalone plan?
Known costs: $50/month standalone; $45/month when billed annually; $20/month per AEO Answers Limit Increase pack adding 10 prompts and 1,000 answers per month; applicable taxes may apply [48]. A 28-day free trial is advertised [51]. The free AEO Grader is a one-time diagnostic, not ongoing measurement [53].
Additional fees: extra prompt and answer capacity; Marketing Hub Pro or Enterprise costs if the buyer wants CRM-powered recommendations and in-platform execution, with the incremental price not established from the reviewed sources [48]. Google's research notes that generating blog posts from recommendations requires Marketing Hub Professional or Enterprise and consumes 1,000 HubSpot Credits per post [54].
Contract and cancellation terms: the reviewed sources do not clearly specify cancellation timing, renewal mechanics, refunds, minimum commitment, or annual-plan cancellation terms [48]. Pricing confidence is moderate across platforms because of the $50 versus $45 discrepancy and unclear plan boundaries.
Best Suited For
Questions This Section Answers
- Who gets the most value from HubSpot AEO for AI search visibility tracking?
- Is HubSpot AEO worth it for a company already using HubSpot Marketing Hub?
HubSpot AEO best suits marketing teams starting structured AI-search visibility tracking, companies that need prompt, competitor, share-of-voice, sentiment, and citation monitoring at a low entry price, and HubSpot customers who want recommendations connected to CRM and content workflows [56].
It also fits single-brand B2B organizations with established content foundations and clear buyer questions ready to track, and buyers who want a free baseline assessment before committing [59]. Existing Marketing Hub Professional or Enterprise customers may already have access bundled at no additional cost [61].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose HubSpot AEO for AI Content Optimization Partners for Strategy and Measurement?
- Is HubSpot AEO suitable for agencies managing multiple client brands?
Large enterprises requiring extensive prompt volumes, many brands or regions, broad answer-engine coverage, or advanced governance are not well served by the standalone plan [62]. Buyers seeking a managed strategic consulting partner rather than software should look elsewhere [62].
Agencies needing multi-client account structures, white-label reporting, or consolidated client campaign management are also a poor fit; independent evidence states the standalone plan is not designed for multi-client accounts or white-label reporting [63]. Organizations earlier in their SEO journey without established domain authority will see slower citation velocity, since the tool adds a measurement layer but does not create visibility where none exists [64]. Teams requiring proven independent evidence of content-generated pipeline or revenue impact should treat company-reported outcomes as unverified [62].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to HubSpot AEO for a buyer who needs Google AI Overviews coverage?
- When is a specialist AEO agency or enterprise platform a better choice than HubSpot AEO?
Choose a dedicated enterprise AEO/GEO platform when the buyer needs higher prompt volumes, multi-market governance, broader engine coverage, or more advanced historical and source analytics [67]. HubSpot AEO does not monitor Google AI Overviews, Claude, or Copilot, which is a material gap for buyers whose criteria include the full AI search landscape [68].
Choose a specialist agency or consultancy when the buyer needs research, editorial planning, digital PR, technical implementation, and ongoing human strategy rather than software recommendations alone [67]. Verified alternatives cited by platforms include Clear Cited (audits from $500, retainers from $2,950/month), Cite Solutions, Profound, OmniSEO, and Novel Cognition ($5,000 audit; $25,000 buildout) [70].
Choose Marketing Hub Pro or Enterprise instead of standalone AEO when CRM-connected recommendations and execution inside HubSpot are central requirements [67]. Use the free AEO Grader first when the buyer only needs a one-time baseline rather than continuous monitoring [75].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with HubSpot AEO before signing a contract?
- Does HubSpot AEO track Google AI Overviews, and what is the roadmap if not?
Verify the exact annual billing commitment, renewal policy, cancellation process, and refund policy [76]. Confirm whether the 25 prompts are shared across brands, products, markets, and users, and how additional prompts are billed [77]. Ask which exact models, regional variants, search modes, and answer types are included for ChatGPT, Gemini, and Perplexity [76].
Confirm whether raw answers, cited URLs, prompt histories, and competitor data can be exported through CSV or API, and how visibility, sentiment, share-of-voice, and citation metrics are sampled, normalized, and recalculated [76]. Ask whether citation analysis distinguishes first-party, third-party, earned-media, user-generated, and paid sources, and whether the product generates a structured content-gap or citation-architecture map versus only prioritized recommendations [76].
Clarify which capabilities require Marketing Hub Pro or Enterprise rather than standalone AEO, what data is retained, and whether CRM or website data is used to train models or shared with subprocessors [76]. Ask what support, onboarding, and strategic services are included in the standalone plan [76]. Buyers should also confirm directly with HubSpot whether the product is generally available or still in beta, given the conflicting signals in the reviewed materials [76].
Final AI Consensus Verdict
HubSpot AEO earns a good fit rating for AI Content Optimization Partners for Strategy and Measurement from five of six platforms, with kimi rating it uncertain. It is a low-cost, standalone entry point for prompt tracking, competitor share of voice, sentiment, and citation analysis across ChatGPT, Gemini, and Perplexity, and it fits naturally into existing HubSpot workflows. It is not a clearly verified best choice for enterprise-scale strategy and measurement, managed content optimization, broad platform coverage, or independently validated business-impact attribution. Buyers whose criteria require Google AI Overviews coverage, multi-client agency infrastructure, or rigorous causal measurement should treat HubSpot AEO as one component of a broader stack rather than the sole partner.
How This Review Was Produced
This review synthesizes fit-research responses from six AI platforms — openai, anthropic, google, grok, perplexity, and kimi — each of which evaluated HubSpot AEO against the same use case: AI Content Optimization Partners for Strategy and Measurement. Two of the six platforms named HubSpot AEO during ranking discovery. All six produced fit assessments, use-case findings, pricing summaries, limitations, and verification questions. The research date is 2026-09-19. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied evidence.
Methodology Limitations
Platform-reported dates are provenance metadata and do not independently prove freshness. Platform mentions count only platforms that named the entity during ranking discovery, not all platforms that evaluated fit. The supplied URLs were collected from platform responses and were not independently validated. Conflicting product names, pricing, and capabilities were preserved rather than resolved. No-search model claims require explicit verification before being described as current facts. Missing research was not interpreted as disagreement. AI-platform agreement reflects overlapping source material and does not prove product quality. No personal testing, customer experience, or independent verification was performed for this review.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- AEO Insights: Building an Informed Answer Engine Strategy: https://blog.hubspot.com/marketing/aeo-insights
- AEO metrics every marketer should track in 2026: https://blog.hubspot.com/marketing/aeo-metrics
- The role of citations in AEO: Why citations matter more than backlinks for AI visibility: https://blog.hubspot.com/marketing/citations-in-aeo
- HubSpot AEO vs. Profound: Features, pricing, and use cases: https://blog.hubspot.com/marketing/hubspot-vs-profound
- Best AEO tools for website optimization in 2026: https://blog.hubspot.com/website/aeo-website-optimization-tools
- B2B AI Visibility Services | Cite Solutions: https://cite.solutions/b2b-ai-visibility-services
- AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
- How Clear Cited Works — full-stack AEO + SEO: https://clearcited.com/how-it-works/
- AEO — Answer Engine Optimization (LLM Optimization) | Contently: https://contently.com/platform/llm-optimization/
- AI Search Optimization Services | Enleaf Multi-Platform Visibility: https://enleaf.com/services/ai-search-optimization/
- Introducing HubSpot AEO: The answer to showing up in AI search engines: https://ir.hubspot.com/news-releases/news-release-details/introducing-hubspot-aeo-answer-showing-ai-search-engines
- Optimize content and improve brand visibility for AI: https://knowledge.hubspot.com/ai/optimize-content-and-improve-brand-visibility-for-ai
- HubSpot Product & Services Catalog: https://legal.hubspot.com/hubspot-product-and-services-catalog
- AI Optimization Consulting Services | Novel Cognition: https://novcog.us.com/services
- An AEO Masterclass for Winning AI Visibility: https://offers.hubspot.com/first-on-the-field-an-aeo-masterclass
- Professional AI Optimization Services | OmniSEO: https://omniseo.com/services/
- HubSpot AI Search Grader - Free Tool Overview and Documentation: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE49eE53IWbDBrmADb8ytSa2tUCWXB6pReWKQ6IfOq3n6t5k74rYNyi_KMPreegZv7SRdggoDPr1PDjMx0fEShyxAxMgE1Yrsw7FNpk_-wPhUmsEDp2qGEODgZjxrjNL7ZgNSgY7Ts5rqpmBphT
- Comparing HubSpot AEO and Rank Prompt for Answer Engine Optimization: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGWwlhgoUFbpT9GOY3gAuf-IFLntbE6amTFr-iFZ-QAnzsED5OUDrMrswFFJSLW7PIPsjUe-dyL8r6vZuRB0gf_oGUq1Sv8CeKl5eCAqX7b0R-LskmFWF_Qxby1Ufo0liwtNXX46dE9XV0GbBimYH582QaLLA==
- HubSpot Official Website - Product Search: https://www.hubspot.com
- Generative Engine Optimization Tool | HubSpot: https://www.hubspot.com/aeo-grader/generative-engine-optimization-tool
- AI Search Grader: Free One-Time AEO Brand Check: https://www.hubspot.com/ai-search-grader
- Introducing HubSpot AEO: Now businesses can understand how they appear across answer engines: https://www.hubspot.com/company-news/hubspot-aeo
- AEO (Answer Engine Optimization) – Definition, FAQs & How HubSpot Helps: https://www.hubspot.com/glossary/aeo-answer-engine-optimization
- HubSpot AEO | See How Your Brand Shows Up in AI Search: https://www.hubspot.com/products/aeo
- HubSpot AEO | Answer Engine Optimization Software: https://www.hubspot.com/products/aeo-varb
- Show Up in AI Search with Answer Engine Optimization (AEO) | HubSpot: https://www.hubspot.com/products/marketing/aeo-guide
- AI Powered Content Optimization | Profound: https://www.tryprofound.com/features/agents/content-optimization
- Official pricing and terms source: https://www.hubspot.com/pricing/marketing
Additional AI research evidence80 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record kimi:hubspot-official
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c5
- AI research evidence record anthropic:4-2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:22-8
- AI research evidence record openai:c5
- AI research evidence record anthropic:4-2
- AI research evidence record perplexity:c1
- AI research evidence record grok:10
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-5
- AI research evidence record google:1.1.2
- AI research evidence record openai:c3
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:4-6
- AI research evidence record kimi:hubspot-official
- AI research evidence record openai:c1
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:32-1
- AI research evidence record google:1.1.2
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:23-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:6-17
- AI research evidence record anthropic:6-18
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:32-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:20-10
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:22-8
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c5
- AI research evidence record grok:10
- AI research evidence record openai:c4
- AI research evidence record google:1.1.1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record grok:0
- AI research evidence record anthropic:11-13
- AI research evidence record perplexity:c4
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-12
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c1
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:28-9
- AI research evidence record kimi:clearcited-pricing
- AI research evidence record kimi:cite-solutions-pricing
- AI research evidence record kimi:tryprofound-features
- AI research evidence record kimi:omniseo-services
- AI research evidence record kimi:novcog-services
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:22-8
- AI research evidence record google:1.1.2
Independent Sources
- HubSpot AEO Review: Features, Pricing, Pros & Cons, and Is It Worth It in 2026?: https://almcorp.com/hubspot-aeo-review/
- An Honest Review of the New HubSpot AEO Grader Tool: https://bigsea.co/articles/hubspot-aeo-grader/
- HubSpot Pricing 2026: Plans, Cost & Free Tier: https://getpulsesignal.com/pricing/hubspot
- HubSpot AEO: Guide to AI Search Visibility: https://vantagepoint.io/blog/hs/hubspot-aeo-answer-engine-optimization-complete-guide
- Everything You Need to Know About HubSpot's AI Search Grader for Brand Visibility: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFJP2fRoexdujw0iTnqq74CCK0FpKzI4W75PWDNWJm_LlZzqzI6pBOpuS8OQ5Z-AdAEhbHvkO48pqyfEPUI0KfVrz7LwUxQkwK-NQjTLhZqrB8QV47v1GxlwFphEjhp90g2rUh2ZOZLPfNa50-ttsD6C-ccVlrWR7JJKZ4kjA==
- HubSpot AEO Tool Explained, Pricing, Features, and Standalone Purchase FAQ: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFmTUP2pciFF3V_DeMvFixQCYCXraLiiWr7HI478D2ieCS3-Mo6OgvMQen0tiRJ91d_ZAGip-_06f-VT5Oz5kJjLfqhmln3v3H0GDPDMasmba7EOOnOBl3ajGXN9Q==
- HubSpot AEO Review (2026): 28 Days Inside the $50 Tool, What It Hides, and 9 Alternatives: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGfcjnn2leh5iUaPxo5A3IOWYljqWzfZm9XeabVSrK1Nu1UzFg5k-3XlF3ahUSMLB5j1cwt1XntAV_1zdI-_-kzY_1Riuahhj0p6f2EE6SdOIHo8ZvHy_Vtaiz0oHntud-6fHgy
- How to Use the HubSpot AEO Tools to Grow Your Visibility in AI Search: https://www.cronyxdigital.com/blog/hubspot-aeo-tools
- HubSpot AEO Reviews & Product Details: https://www.g2.com/products/hubspot-aeo/reviews
- HubSpot AEO Tool: Track & Improve Your AI Search Visibility: https://www.onthefuze.com/hubspot-insights-blog/hubspot-aeo-tool-2026
- HubSpot AEO review (2026) for agencies: is it worth it, and what are the alternatives?: https://www.rankability.com/blog/hubspot-aeo-review/
- HubSpot AEO Review 2026: Pricing, Features & Alternatives: https://www.saasworthy.com/blog/hubspot-aeo-review
- HubSpot AEO Search Strategy (2026 Overview, Features, Examples, and Pricing: https://www.streamcreative.com/hubspot-aeo-pricing-and-overview
Additional AI research evidence80 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record kimi:hubspot-official
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c5
- AI research evidence record anthropic:4-2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:22-8
- AI research evidence record openai:c5
- AI research evidence record anthropic:4-2
- AI research evidence record perplexity:c1
- AI research evidence record grok:10
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-5
- AI research evidence record google:1.1.2
- AI research evidence record openai:c3
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:4-6
- AI research evidence record kimi:hubspot-official
- AI research evidence record openai:c1
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:32-1
- AI research evidence record google:1.1.2
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:23-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:6-17
- AI research evidence record anthropic:6-18
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:32-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:20-10
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:22-8
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c5
- AI research evidence record grok:10
- AI research evidence record openai:c4
- AI research evidence record google:1.1.1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record grok:0
- AI research evidence record anthropic:11-13
- AI research evidence record perplexity:c4
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-12
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c1
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:28-9
- AI research evidence record kimi:clearcited-pricing
- AI research evidence record kimi:cite-solutions-pricing
- AI research evidence record kimi:tryprofound-features
- AI research evidence record kimi:omniseo-services
- AI research evidence record kimi:novcog-services
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:22-8
- AI research evidence record google:1.1.2
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 19, 2026
- Platforms analyzed
- 6
- Source records
- 41
- Ranking mentions
- 2 of 6
- Platform share
- 33%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
13 independent · 28 company-owned
Evidence support
20 direct · 4 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 fa576c0853c3c66587933199bd2b2d5ce3b01994c5fb4963e7ff6108a5665f86