Peec AI ↗
Choose HubSpot AEO if you want an affordable three-engine baseline, a familiar marketing workflow, and recommendations tied to HubSpot. Choose Peec AI if you need a dedicated analytics product with a different prompt and reporting model.
AI visibility monitoring, citation analysis, and prioritized recommendations for growing brands
Clear standalone price lower than many enterprise AI-visibility platforms
Source review: · Public-source research, not a hands-on test
Small and mid-sized brands beginning a structured AI-visibility program
The standalone plan covers three named engines and 25 daily prompts; independent review evidence flags missing Google/Claude/Copilot coverage and recommendation depth.
01 / Editorial assessment
HubSpot AEO is a credible low-cost starting point for a focused AI-search baseline: the current pricing page lists $50/month standalone pricing ($45/month annually), 25 prompts run daily across ChatGPT, Gemini, and Perplexity, and AEO beta allowances inside Marketing Hub Professional and Enterprise. The October 1 Arobis review found strong value and a clear dashboard, but weaker engine coverage, prompt capacity, recommendation depth, agency fit, and outcome evidence. Choose it when a narrow three-engine baseline fits; do not treat visibility or citation observations as proof of traffic or revenue.
02 / Scope, not promises
Standalone paid subscription; also available inside Marketing Hub Pro and Enterprise with broader HubSpot context
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick facts25 prompts run daily on standalone AEO; Marketing Hub Professional lists 25 prompts / 2,500 answers per month and Enterprise 50 / 5,000.
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick factsChatGPT, Gemini, and Perplexity
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick factsPrompt-level AI visibility, competitor share of voice, citation analysis, and AEO recommendations
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick facts$50/month, or $45/month on annual billing, as displayed on the official product page
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick factsBrand visibility, sentiment, competitor share of voice, citations, prompt tracking, and prioritized recommendations
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick factsHubSpot describes a brand visibility score showing how often a business appears in AI answers, alongside sentiment analysis. A score is useful for trend monitoring only when the prompt panel and sampling method remain stable. Do not compare scores from materially different prompt sets as if they were a controlled time series. Sentiment can reveal a perception problem that mention counts hide, but model-generated tone classifications are interpretations. Inspect the underlying answer and sources before treating a negative label as a confirmed customer sentiment trend.
The standalone product includes 25 prompts. HubSpot suggests prompts based on the company, competitors, and industry, and allows the team to track questions relevant to its business. Prompt selection is the most consequential setup decision. Include category questions, comparison questions, problem-aware questions, and high-intent alternatives, then record the exact wording, market, language, and date. Review every suggested prompt: independent testing by Business.com and Big Sea reported that automatically generated prompts were not always specific enough for the tested businesses.
Citation analysis identifies domains, pages, and content types appearing in AI answers for the brand and competitors. This can support a source-gap workflow: find an authoritative page cited for a buyer question, compare its evidence and structure with your own page, and decide whether the opportunity is content, distribution, or product positioning. A citation is not a recommendation guarantee. It may be incidental, query-specific, stale, or produced by a different retrieval path. Preserve the full answer, source URL, engine, model where exposed, prompt, location, and observation date.
HubSpot positions share of voice as the percentage of AI mentions in a category that go to the brand relative to competitors. This is useful for comparative observation, but it is not market share. The denominator, competitor set, prompt mix, engine mix, and mention definition all affect the result. Use the metric to form a question such as “Which commercial prompts consistently omit us while naming these competitors?” Do not translate a share-of-voice percentage directly into demand, sales, or category leadership.
The product turns findings into prioritized recommendations, such as creating a page, fixing a technical issue, publishing a video, or strengthening third-party coverage. Recommendations are hypotheses generated from the observed dataset. They still require a human to check search intent, evidence quality, legal constraints, brand voice, and whether the proposed change adds useful information.
03 / Commercial boundaries
Terms below reflect the 2026-10-09 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
$50/month, or $45/month when paid annually, with 25 prompts run daily across ChatGPT, Gemini, and Perplexity according to the current official pricing pages.
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · OverviewPrice: $50/month · Published scope: 25 prompts across ChatGPT, Gemini, and Perplexity; visibility, sentiment, competitor share of voice, citation analysis, and recommendations
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Pricing and plan limitsPrice: $45/month equivalent · Published scope: Same headline standalone product; confirm the annual commitment and applicable tax at checkout
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Pricing and plan limitsPrice: Not numerically exposed on the product page · Published scope: Page says more prompts can be purchased; confirm unit price and volume limits
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Pricing and plan limitsPrice: Package-dependent · Published scope: AEO is included with expanded prompts and CRM-powered recommendations; confirm the package scope rather than assuming parity with standalone pricing
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Pricing and plan limitsA 28-day no-card trial tracks 25 prompts daily across ChatGPT, Gemini, and Perplexity; the free AEO Grader remains a separate one-time snapshot.
Archived research · Research dated 2026-10-09; confirm current termsResearch excerpt · Quick factsThe current official HubSpot AEO product page checked October 9, 2026 displays the following standalone offer:
| Offer | Price | Published scope |
|---|---|---|
| HubSpot AEO | $50/month | 25 prompts across ChatGPT, Gemini, and Perplexity; visibility, sentiment, competitor share of voice, citation analysis, and recommendations |
| Annual billing | $45/month equivalent | Same headline standalone product; confirm the annual commitment and applicable tax at checkout |
| Additional prompts | Not numerically exposed on the product page | Page says more prompts can be purchased; confirm unit price and volume limits |
| Marketing Hub Pro / Enterprise | Package-dependent | AEO is included with expanded prompts and CRM-powered recommendations; confirm the package scope rather than assuming parity with standalone pricing |
The official product page also says a free trial can track 25 prompts without a credit card. The free AEO Grader is a different product: it provides a one-time diagnostic and should not be described as a permanent monitoring tier. Confirm trial length, data continuity after conversion, cancellation, and any prompt or competitor limits during signup.
The practical cost is therefore more than the headline subscription when a team needs multiple markets, brands, prompt sets, seats, exports, or higher-tier HubSpot functionality. Ask for a written allowance matrix before procurement.
04 / The tradeoffs
The standalone plan covers three named engines and 25 daily prompts; independent review evidence flags missing Google/Claude/Copilot coverage and recommendation depth.
05 / Choose by the job
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Choose HubSpot AEO if you want an affordable three-engine baseline, a familiar marketing workflow, and recommendations tied to HubSpot. Choose Peec AI if you need a dedicated analytics product with a different prompt and reporting model.
Choose HubSpot AEO if 25 prompts cover your initial questions. Choose Otterly.ai when its plan, engine coverage, or monitoring scale better fits your required prompt matrix.
Choose HubSpot AEO if citation analysis and HubSpot workflow integration are priorities. Choose Profound when enterprise answer intelligence, broader research depth, or custom commercial support justifies a larger evaluation.
Choose HubSpot AEO if you already operate in HubSpot. Choose Ahrefs Brand Radar when broader SEO data and brand-monitoring context matter more than a standalone AEO workflow.
06 / What we can substantiate
The current independent signal is mixed but useful: Arobis AI reports strong value and dashboard clarity after a 28-day review, while flagging the three-engine scope, 25-prompt ceiling, recommendation quality, and weak agency fit. G2 provides a much larger 4.4/5 broader Marketing Hub sample with positive ease-of-use and integration themes plus recurring pricing and feature-limit concerns. These sources support usability and procurement questions, not causal claims about AI visibility or revenue.
Independent hands-on review; it assesses one product configuration and does not prove causal traffic, citation, or revenue impact.
Snapshot: 2026-10-09 · View source
Platform-level review sample, not an AEO-specific rating or efficacy benchmark.
Snapshot: 2026-10-09 · View source
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
| Source | Evidence type | Checked |
|---|---|---|
| HubSpot AEO product page ↗ | Cited in archived research | See research context |
| HubSpot Marketing pricing ↗ | Cited in archived research | See research context |
| HubSpot’s free AI Search Grader ↗ | Cited in archived research | See research context |
| Arobis AI HubSpot AEO review ↗ | Cited in archived research | See research context |
| G2 HubSpot Marketing Hub reviews ↗ | Cited in archived research | See research context |
| Big Sea three-week test ↗ | Cited in archived research | See research context |
| Business.com HubSpot AEO review ↗ | Cited in archived research | See research context |
| Salesdorado HubSpot AEO Grader review ↗ | Cited in archived research | See research context |
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
| Source | Public signal | What it supports | Confidence / bias |
|---|---|---|---|
| HubSpot AEO product page | $50/month, $45/month annual equivalent, 25 prompts, ChatGPT/Gemini/Perplexity, visibility, citations, competitor share of voice, recommendations; checked October 9, 2026 | Current advertised commercial scope and feature set | High for vendor-published facts; not outcome proof |
| HubSpot AI Search Grader | Free one-time diagnostic across five score dimensions; separate from continuous AEO monitoring; checked October 9, 2026 | Product boundary between the free snapshot and paid monitoring | High for published product distinction; vendor-authored |
| Business.com HubSpot AEO review | Editors Score 8.1/10 after hands-on testing; praised affordability and usability, while flagging prompt quality, 25-prompt scale, and support limits; updated August 5, 2026 | Directional usability and buying-friction evidence | Medium; disclosed commercial relationships and editorial methodology |
| Big Sea three-week test | Tested the AEO workflow across three organizations; reported manual competitor/ICP correction, prompt-selection effort, and baseline variability | Operational setup friction and interpretation cautions | Medium; practitioner test from a marketing agency, not a controlled efficacy study |
| Salesdorado AEO Grader review | Tested the free Grader on noCRM; reported materially different engine scores and warned that model freshness and source quality affect interpretation | Directional evidence about the one-time Grader, not proof of paid-product outcomes | Medium; single hands-on test, commercially oriented publisher |
| HubSpot customer proof on product page | Vendor-selected customer quotes describe ease of use and visibility improvements | Illustrative customer claims and positioning | Low-medium; vendor-selected, not independent or audited |
The strongest independent positive signal is usability relative to price. Business.com found the dashboard easy to navigate and highlighted filters for engine, date range, location, and customer profile. It also valued the combination of visibility, sentiment, citations, and recommendations in the entry product.
These sources support a practical onboarding and workflow hypothesis. They do not establish that HubSpot AEO causes citation growth or improves revenue.
The recurring concerns are narrow prompt capacity, the need to correct auto-generated prompts and competitors, and the risk of over-interpreting unstable scores. Big Sea’s hands-on account also found that the tool adds a measurement layer to existing content rather than creating visibility by itself.
No independent source checked for this profile proves a causal lift in rankings, AI citations, traffic, qualified leads, or revenue. HubSpot’s case studies and customer quotes should be read as vendor-reported examples, not as controlled evidence.
Trust the official page for the displayed price, named engines, prompt allowance, and advertised capabilities. Treat Business.com and Big Sea as useful but bounded practitioner evidence: they tested usability and setup, not causal business outcomes. Treat the free Grader’s score as a directional baseline, especially when model knowledge dates and retrieval modes differ.
The page distinguishes official product claims, independent practitioner evidence, vendor-selected proof, and AICiteKit interpretation. None of the sources independently proves rankings, AI citations, traffic, leads, or revenue.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.