Answer Capsule
Frase is a qualified but partial fit for ecommerce brands evaluating AI SEO tools. Two of the seven included platforms named Frase during ranking discovery — DeepSeek (rank 6) and Perplexity (rank 5) — giving it an average listed rank of 5.5 and a 28.6% share of included platform responses. The strongest reason to consider it is its SERP-to-brief workflow: competitor page analysis, topic and question research, AI-assisted drafting, and combined SEO/GEO scoring in one pipeline suited to buying guides, comparison pages, and category-support content [1]. The main limitation is that Frase is not a product-feed, catalog, or SKU-level AI-visibility platform, and independent reviews say it does not replace technical crawling, backlink analysis, or broad keyword intelligence [3].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 included platforms (DeepSeek, Perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.5 |
| Best listed rank | 5 (Perplexity) |
| Relevant product/model/plan | Frase Starter or Professional plan; Starter suits a single ecommerce site, Professional suits a growing content team (openai) |
| Overall use-case fit | Good for editorial and category-support content; mixed to weak for product-discovery and catalog optimization |
| Research date | 2026-09-18 |
Why Frase Qualified for This Study
Questions This Section Answers
- Why did Frase qualify for a 2026 AI SEO tools study for ecommerce brands?
- How many AI platforms named Frase when ranking AI SEO tools for ecommerce brands?
Frase qualified because two platforms independently named it during ranking discovery, and six of the seven included platforms returned a usable fit assessment for it. DeepSeek placed it at rank 6 and Perplexity at rank 5, producing an average listed rank of 5.5 and a final rank of 10 in the study (openai ranking statistics). Its qualification rests on documented capability in the study's four criteria — content optimization, competitive research, topic analysis, and scalable workflows — rather than on ecommerce-specific product-discovery strength.
Vendor materials describe Frase as connecting strategy and planning, AI-powered competitive research, and content optimization for both traditional SEO and AI search [6]. Independent reviews describe it as analyzing top Google results and producing blueprints for outranking them, with content briefs, competitor page analysis, key topic identification, and search-intent optimization using NLP signals [7]. One review reports it analyzes the top 20 ranking pages in about five seconds and generates a brief with target word count, suggested headings, questions, and recommended terms [10].
Qualification is not the same as endorsement. The same platform set split on fit: OpenAI and Anthropic rated Frase a good fit, DeepSeek, Grok, and Perplexity rated it mixed, and Kimi rated it weak. That spread is the central finding of this review and is carried through every section below. For the full field of tools evaluated against this use case, see the AI SEO Tools for Ecommerce Brands consensus index.
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Ecommerce Brands
Questions This Section Answers
- Which Frase plan is most relevant for a single ecommerce site versus a growing content team?
- Does Frase's Starter plan include enough articles and audit pages for an ecommerce content calendar?
The relevant offering is the Frase content platform on its Starter or Professional plan. OpenAI's assessment states Starter is most relevant for a single ecommerce site while Professional is more suitable for a growing content team (openai). Perplexity's assessment points to Starter or Professional/Team (perplexity). DeepSeek, Grok, and Kimi all referenced "Solo or Team" or "Starter or Team" naming (deepseek, grok, kimi).
That naming split matters. The current public pricing page reviewed uses Starter, Professional, Scale, and Enterprise, and the supplied recommendation text refers to Solo or Team and Starter or Team. Buyers should confirm which tier names apply to their account or region before purchase (openai).
Plan capacity, per the pricing page reviewed: Starter includes one seat, one site, 10 articles, and 50 audit pages per month. Professional includes three seats, five sites, 40 articles, and 250 audit pages per month. Scale includes five seats, up to 10 domains, 100 articles, and 1,000 audit pages per month [11]. Anthropic's assessment describes Professional as adding 30 articles per month and unlimited audit pages, which conflicts with the 40-article figure on the pricing page reviewed — a discrepancy buyers should verify directly [11].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Frase does well for ecommerce content teams?
- Is Frase's SERP-to-brief workflow considered strong across AI platform assessments?
Platforms broadly agreed on three things: Frase's research-to-brief workflow is its core strength, it supports combined SEO and GEO scoring, and it scales by volume across tiers rather than by adding ecommerce-specific capability.
On the workflow, OpenAI describes a SERP-to-brief pipeline for comparison, review, buying-guide, and category-support content (openai). Anthropic describes competitive SERP analysis and topic research at scale (anthropic). DeepSeek describes content optimization scoring and automatic briefs from SERP and topic research [12]. Grok describes extracting headings, questions, and semantic terms from top-ranking pages [14]. Perplexity describes a workflow centered on research, planning, and scalable content operations [15].
On dual SEO and GEO scoring, Anthropic reports Frase optimizes content to be cited by AI engines, not just rank on Google, with a dual scoring system [17]. OpenAI reports the Starter plan includes AI Visibility monitoring for ChatGPT and Google AI, Professional adds Perplexity, and Scale adds Claude and Gemini [20]. Grok reports AI Visibility tracking for purchase-intent prompts [14].
On scaling, Anthropic reports the difference between plans is volume — articles, audit pages, AI platforms tracked, and team seats [21]. OpenAI reports progressively larger article, audit, site, and seat limits across Professional and Scale (openai).
Agreement here reflects consistent platform reporting, not proof of product quality or ecommerce performance.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did AI platforms disagree on whether Frase is a good fit for ecommerce AI SEO?
- Is Frase's AI visibility tracking deep enough for product-discovery prompts?
Fit ratings diverged sharply. OpenAI and Anthropic rated Frase a good fit. DeepSeek, Grok, and Perplexity rated it mixed. Kimi rated it weak, stating Frase lacks SKU-level tracking, AI citation monitoring, prompt testing, and ecommerce schema automation (kimi).
The sharpest conflict concerns AI visibility. Anthropic reports Frase tracks AI visibility across eight platforms including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Grok, Copilot, and DeepSeek [23]. Kimi states Frase does not track visibility across ChatGPT, Perplexity, Gemini, or Google AI Overview, and that its competitive analysis is built around SERP rankings rather than AI answer citations [24]. OpenAI notes AI Visibility coverage is plan-dependent and narrower than specialist AI-visibility platforms, and that the practical depth should be tested during the trial (openai). These positions cannot all be correct as stated; the plan tier and the research date likely explain part of the gap, since Kimi's and DeepSeek's assessments also carry different research dates.
Ecommerce specificity is a second unresolved area. OpenAI reports public evidence does not establish dedicated product-feed SEO, structured product-catalog optimization, marketplace optimization, or ecommerce conversion analytics as core capabilities (openai). DeepSeek reports no reviewed source documents native product-feed, catalog-attribute, or structured-product-data optimization (deepseek). Perplexity reports no verified public evidence of product feed ingestion, merchant center sync, shopping result optimization, or catalog-level AI search management (perplexity). Grok cites independent reviews stating Frase is not built for product page optimization or ecommerce catalog needs [25].
Pricing is a third conflict. Kimi lists Solo at roughly $14.99/month and Team at roughly $114.99/month with a $35/month SEO data add-on [27]. Anthropic notes older reviews still reference discontinued Solo/Basic/Team plans at $15/$45/$115 per month (anthropic). The current pricing page reviewed lists Starter at $39/month yearly or $49 month to month, and Professional at $103/month yearly or $129 month to month [28]. Perplexity reports public pricing is inconsistent across sources and should be verified directly [29].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can Frase optimize ecommerce buying guides, comparison pages, and category-support content?
- Does Frase handle product schema, review markup, or catalog-level structured data for ecommerce?
Frase's fit for this use case is concentrated in editorial and category-support content, not product data. The table below maps each study criterion to the platform-reported finding.
| Criterion | Assessment | Platform-reported finding |
|---|---|---|
| Content optimization | Advantage | Analyzes ranking pages and scores drafts for SEO and GEO; score is a comprehensiveness signal, not a ranking guarantee |
| Competitive research and topic analysis | Advantage | Reads ranking pages, extracts structure and coverage, surfaces questions and related keywords, identifies gaps, converts findings into briefs; supports country and language targeting |
| AI-search visibility | Advantage, plan-dependent | Starter covers ChatGPT and Google AI; Professional adds Perplexity; Scale adds Claude and Gemini |
| Scalable workflows | Advantage | Starter: 1 seat, 1 site, 10 articles, 50 audit pages. Professional: 3 seats, 5 sites, 40 articles, 250 audit pages, content calendar, internal-linking suggestions |
| Ecommerce-specific capability | Unclear | No reviewed evidence of product-feed SEO, structured product-catalog optimization, marketplace optimization, or ecommerce conversion analytics |
| Technical and off-page SEO | Limitation | Not a substitute for a technical crawler, backlink database, or broad keyword platform |
| AI-generated content quality | Limitation | Useful first drafts that may require substantial editing for brand-sensitive content |
| Evidence of outcomes | Unclear | Vendor reports a 4.8/5 rating across G2 and Capterra and displays customer logos; reviewed public evidence does not independently establish ecommerce ranking, revenue, conversion, or AI-citation outcomes |
Two operational caveats apply to ecommerce content specifically. First, external citation accuracy: one review reports that when Frase has crawled the buyer's own site citations are accurate, but when sourcing external authorities the destinations diverge from the claims, so external links should be treated as drafts requiring verification [31]. That matters for product claims, comparisons, and review content. Second, AI writing quality: independent reviews describe output as sometimes generic and requiring editorial oversight [35].
For buyers whose core problem is catalog or product-page optimization rather than editorial content, the broader ai seo content optimization category directory covers the tool types that address that layer.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Frase cost per month for an ecommerce content team, and what do overages add?
- What are Frase's cancellation, renewal, and refund terms for an annual plan?
Listed pricing is comparatively clear on the current pricing page, but real spend for ecommerce teams is often higher than the entry tier. OpenAI rates pricing confidence high; Perplexity rates it low because public sources conflict; DeepSeek rates it low because tier naming and amounts could not be confirmed (openai, perplexity, deepseek).
| Plan | Yearly billing | Monthly billing | Included capacity |
|---|---|---|---|
| Starter | $39/mo | $49/mo | 1 seat, 1 site, 10 articles, 50 audit pages |
| Professional | $103/mo | $129/mo | 3 seats, 5 sites, 40 articles, 250 audit pages |
| Scale | $239/mo | $299/mo | 5 seats, up to 10 domains, 100 articles, 1,000 audit pages |
| Enterprise | Custom | Custom | Custom limits |
Additional costs reported: extra seats at $29/month on Professional and Scale; optional pay-as-you-go overages on Professional at $5 per extra article, $0.50 per audit page, and $0.25 per AI prompt, with Scale at $4, $0.40, and $0.20; and optional FraseCMS hosting at $19/month Basic or $99/month Pro on top of the platform plan, with a free tier up to 100,000 page views monthly [38]. Anthropic separately reports a Rank-Ready automated article add-on at $3.50 each (anthropic).
Contract terms reported: a seven-day free trial with no credit card required; yearly billing saves 20%; upgrades are prorated and downgrades take effect at the next billing cycle [38]. Anthropic reports month-to-month or annual billing with annual locked in for 12 months, cancel anytime with access retained until the end of the current billing period, and no long-term contract required (anthropic). The official terms page states the initial term is one year, auto-renews for equal periods unless either party gives at least 30 days' non-renewal notice, and that all fees paid are final with no refunds (official:C3). That auto-renewal and no-refund language conflicts with the "cancel anytime" characterization and should be confirmed at checkout.
Cost-per-article estimates also conflict across sources, ranging from roughly $2.58 to roughly $9.80 per article depending on plan and utilization (anthropic). Independent analysis reports most small teams land on Professional rather than Starter, widening the gap between listed pricing and actual spend [39].
Best Suited For
Questions This Section Answers
- Is Frase a good choice for an ecommerce brand whose main need is buying-guide and comparison content?
- Which ecommerce content teams get the most value from Frase's Starter or Professional plan?
Frase is best suited to ecommerce brands whose primary AI-SEO need is scalable creation and optimization of SERP-informed editorial content, with basic AI-search visibility monitoring (openai). Specifically:
- Ecommerce brands building comparison guides, buying guides, review content, category education, and other purchase-intent editorial pages (openai).
- Single-site brands with moderate content volume that want research, briefing, writing, optimization, publishing, and limited AI-visibility tracking in one workflow (openai).
- Small in-house content teams that value scalable editorial workflows more than full technical SEO or backlink intelligence (openai).
- Content teams needing competitive SERP analysis and topic research at scale, and brands optimizing for both Google rankings and AI search citations on informational content (anthropic).
- Agencies managing multiple ecommerce client content calendars with unified SEO workflows (anthropic).
Starter is appropriate for a single site and moderate output; Professional is more suitable for a small content team or higher-volume workflow (openai). Anthropic's assessment adds that Frase's pricing is competitive relative to Surfer SEO ($99/mo+), Clearscope ($170/mo+), and MarketMuse ($149/mo+) (anthropic).
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Frase for ecommerce AI SEO?
- Is Frase the wrong tool for a brand that mainly needs product-feed or catalog optimization?
Frase is probably not the right primary tool for several ecommerce buyer profiles:
- Brands primarily optimizing product feeds, marketplace listings, or large catalogs rather than editorial and category content (openai).
- Enterprise ecommerce organizations requiring deep technical crawling, backlink intelligence, extensive keyword databases, or broad AI-engine and prompt-level monitoring (openai).
- Teams that need strong independent evidence of rankings, conversions, or AI-citation improvements before purchase (openai).
- Ecommerce brands focused primarily on product discovery, internal site search, or on-page product data optimization (anthropic).
- High-volume product catalog management or SKU-level SEO automation (anthropic).
- Brands competing in voice search or visual product search (anthropic).
- Small ecommerce teams with very limited content output — under two to three articles per month — where per-article cost becomes prohibitive (anthropic).
- Ecommerce brands needing SKU-level AI visibility tracking, catalog-scale schema and PDP optimization, AI prompt testing, competitor share-of-voice in AI answers, or revenue attribution to AI-driven discovery (kimi).
Independent reviews cited by Grok state Frase is not suited for ecommerce product pages or bulk generation and is not useful for product page optimization or ecommerce catalog pages [42]. DeepSeek's assessment reaches a similar conclusion: Frase is a plausible partial fit for blog and category content rather than a purpose-built choice for product-comparison or purchase-intent prompts (deepseek).
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Frase for an ecommerce brand that needs product-feed or catalog optimization?
- When should an ecommerce buyer choose Semrush, Ahrefs, or a specialist AI-visibility platform instead of Frase?
Several platform assessments named specific alternative scenarios. OpenAI recommends choosing Semrush or Ahrefs when broad keyword research, competitor domains, backlink analysis, technical SEO, and rank tracking are higher priorities than an integrated content-brief workflow; a specialist AI-visibility platform when deeper prompt-level measurement, wider engine coverage, panel data, or enterprise-grade AI-search analytics are needed; marketplace-focused tools such as DataDive or Jungle Scout when Amazon or marketplace listing optimization is primary; and a dedicated technical crawler such as Screaming Frog or Sitebulb when large-catalog crawl diagnostics are central (openai).
Anthropic recommends dedicated ecommerce search platforms such as Algolia, Searchspring, Luigi's Box, or Voyado when the primary goal is on-site product search, discovery, or catalog optimization; SEMrush, Ahrefs, or dedicated keyword research tools when keyword research depth, volume data, and intent modeling are needed; Surfer SEO for stronger data visualization and ranking correlations; and Clearscope for enterprise-grade editorial simplicity at higher cost (anthropic).
DeepSeek recommends a product or catalog SEO platform when product-feed, catalog, and structured-product-data optimization across AI shopping surfaces is the priority, and a specialized AI-visibility tracker when direct monitoring of AI answer prompts for product queries is needed (deepseek).
Kimi names specific alternatives with reported pricing: eCommerce Insights ($99+/mo), ReFiBuy, or SEORCE ($249+/mo) for SKU-level AI visibility tracking; Briezo ($29+/mo) or BuzzView for prompt monitoring and AI answer auditing; Autviz Atlas or eCommerce Insights for catalog-scale schema automation and PDP fixes; SEORCE for revenue attribution from AI recommendations; and VISNIB or Beniz.ai for AI-native competitive intelligence with recommendation readiness scoring (kimi). These are vendor-owned sources describing their own products and should be treated as vendor-reported, not independently verified.
Questions to Verify Before Buying
Questions This Section Answers
- What should an ecommerce buyer confirm with Frase before signing an annual contract?
- Which Frase plan limits and AI engine coverage should be verified before purchase?
The platform assessments converged on a verification checklist. Buyers should confirm:
- Whether Frase can optimize the buyer's exact Shopify, BigCommerce, or other ecommerce page types, including product and collection pages, without harming template or structured-data controls (openai).
- Which AI engines, prompts, locations, languages, and historical periods are available under the selected plan for United States monitoring (openai).
- Whether product schema, review markup, price, availability, variant, and merchant-feed issues are detected, or only content issues (openai).
- Whether the selected plan includes enough articles, audit pages, AI prompts, seats, domains, and API/MCP capacity for the expected catalog and publishing volume (openai).
- The exact annual renewal, cancellation, refund, downgrade, and overage terms at checkout (openai, official:C3).
- Whether AI-visibility results are based on reproducible monitoring, and how prompt selection, sampling, citation attribution, and false positives are handled (openai).
- Which integrations support the buyer's CMS, approval workflow, analytics, Google Search Console, and ecommerce data stack (openai).
- Whether briefs, scores, prompts, historical data, and content assets can be exported if the buyer later changes tools (openai).
- Whether the content workflow includes editorial review and citation verification steps, given the external citation accuracy issue (anthropic).
- How many articles per month the team publishes, and whether that pace fits the plan's article cap without immediate upgrade or overages (anthropic).
- How many team members need access and across how many domains, since seat and domain limits often force an upgrade from Starter to Professional (anthropic).
- Which AI search platforms matter most to the brand, and whether the plan's tracking tier covers those surfaces (anthropic).
- Whether the current official plan name and USD price match the tier recommended for this use case (deepseek).
- Whether the plan supports the required monthly article volume for the ecommerce content calendar (grok).
- Whether Frase supports any integration with ChatGPT, Perplexity, or Gemini APIs for prompt testing or answer monitoring (kimi).
Final AI Consensus Verdict
Frase is a good fit for ecommerce brands whose primary AI-SEO need is scalable creation and optimization of SERP-informed comparison, review, buying-guide, and supporting category content, with basic AI-search visibility monitoring. It should usually be paired with a broader SEO suite or technical crawler for product-catalog, backlink, technical, and rank-tracking requirements (openai). Starter is appropriate for a single site and moderate output; Professional is more suitable for a small content team or higher-volume workflow (openai).
That verdict is not unanimous. Six of the seven included platforms returned a usable fit assessment, and they split: two rated Frase good, three rated it mixed, and one rated it weak. The disagreement centers on whether Frase's AI-visibility and ecommerce capabilities are sufficient for product-discovery and purchase-intent AI search, and on conflicting pricing and tier naming across sources. Buyers should treat the fit as conditional on editorial content being the primary need, verify current pricing and plan names directly, and confirm AI engine coverage for the specific prompts that matter to their catalog.
How This Review Was Produced
This review evaluates Frase only for the AI SEO Tools for Ecommerce Brands use case. It draws on fit-research responses from seven included platforms — OpenAI, Anthropic, DeepSeek, Grok, Kimi, and Perplexity among those returning usable assessments — plus the ranking statistics from the discovery stage. The study research date is 2026-09-18. Platform-reported research dates differ: DeepSeek's assessment carries a research date of 2026-06-09, while the other platforms report 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
Citations are platform-reported evidence, not independently verified facts. Company-owned sources describe vendor capabilities and pricing; independent sources are third-party reviews and directories. Where a claim rests only on a platform's assertion without a retrieved citation, it is labeled platform-reported. No personal testing, customer experience, or independent verification was performed for this review.
Methodology Limitations
Six of the seven included platforms returned a usable fit assessment; the fit findings are therefore not unanimous and should not be described as consensus agreement on product quality. Platform mentions in the ranking stage count only platforms that named Frase during ranking discovery, which is a narrower measure than platforms that assessed fit.
The supplied URLs were collected from platform responses and were not independently validated. Platform-reported research dates differ from the authoritative run date. Pricing, plan names, and capability claims conflict across sources — including Solo/Team versus Starter/Professional/Scale naming, AI-visibility engine coverage, article limits, and cost-per-article estimates — and this review does not resolve those conflicts by guessing. Buyers should verify current pricing, plan structure, AI engine coverage, and contract terms directly with Frase before purchase. Publicly reviewed evidence does not prove that Frase improves ecommerce revenue, rankings, conversions, or AI citations.
Sources
Company-Owned Sources
- Frase - AI SEO & GEO Operating System: https://1234.cms.frase.io/pricing
- Beniz.ai - AI Discovery Infrastructure: https://beniz.ai/
- Briezo Product - AI Shopping Intelligence: https://briezo.com/product
- AI Visibility for Ecommerce - BuzzView: https://buzzview.ai/lp/ai-visibility-for-ecommerce
- Plans & Pricing | Frase Crash Course: https://docs.frase.io/get-started/plans-and-pricing
- Compare AI Visibility Tools - eCommerce Insights: https://ecommerceinsights.ai/compare/
- SEORCE - AI-Powered SEO Platform for Ecommerce: https://seorce.com/solutions/ecommerce
- VISNIB - AI Visibility Intelligence for Ecommerce: https://visnib.com/
- Autviz Atlas - Ecommerce and D2C SEO Automated: https://www.autviz.com/ai-employees/atlas/ecommerce-d2c-seo/
- Frase - AI Content Optimization and SEO Research: https://www.frase.io
- The New Frase: Built for Content Teams in the AI Search Era | Frase: https://www.frase.io/blog/introducing-the-new-frase-content-intelligence-platform
- Frase SEO Research and Pricing: https://www.frase.io/features/seo-research
- Frase Plans and Pricing: https://www.frase.io/pricing
- Official pricing and terms source: https://www.frase.io/company/terms
Additional AI research evidence43 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record openai:c3
- AI research evidence record grok:11
- AI research evidence record grok:14
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:5-11
- AI research evidence record openai:c2
- AI research evidence record deepseek:frase_home
- AI research evidence record deepseek:g2_frase
- AI research evidence record grok:0
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:3-5
- AI research evidence record anthropic:3-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:20-5
- AI research evidence record anthropic:4-10
- AI research evidence record kimi:frase-2026
- AI research evidence record grok:11
- AI research evidence record grok:14
- AI research evidence record kimi:frase-pricing-2026
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:38-5
- AI research evidence record anthropic:38-6
- AI research evidence record anthropic:38-7
- AI research evidence record anthropic:4-14
- AI research evidence record anthropic:17-15
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c2
- AI research evidence record anthropic:27-13
- AI research evidence record anthropic:27-14
- AI research evidence record anthropic:27-15
- AI research evidence record grok:11
- AI research evidence record grok:14
Independent Sources
- Frase Pricing 2026: What Small Teams Actually Pay: https://aiflowreview.com/frase-pricing/
- Frase Review: AI Content & SEO Tool: https://bulkbase.ai/review/frase-review-ai-content-generation-tool-for-content-marketers-and-seo
- Frase Review 2026: The SEO Workflow Built for the AI Search Era: https://dailyaireviews.com/frase-io-review-2026/
- How to Use Frase.io: A Real Step-by-Step Walkthrough (2026: https://dailyaireviews.com/how-to-use-frase-io/
- Frase Review 2026: https://digitalbydefault.ai/blog/frase-seo-content-review-2026
- Frase Review for Canadian SEO 2026: https://ottawaseo.com/reviews/frase/
- Frase Review (2025): Features, Pricing, and Pros & Cons: https://searchatlas.com/blog/frase-review/
- Frase Pricing 2026: New Plans, Costs & What Changed: https://toolfinderlab.com/articles/frase-pricing-2026
- Frase Review 2026: Is $49/Month Worth It?: https://toolfinderlab.com/articles/frase-review-2026
- Frase Review 2026 - SEO & GEO Platform: https://tooliverse.ai/tools/frase
- Frase.io Review 2026: Details, Pricing & Features: https://vettedthis.com/software/marketing/seo-tools/frase-io-review-details-pricing-features/
- Frase Pricing 2026: https://www.capterra.com/p/197955/Frase/pricing/
- An honest Frase AI review for 2026: The ultimate SEO tool? | eesel AI: https://www.eesel.ai/blog/frase-ai-review
- Frase Reviews and Pricing: https://www.g2.com/products/frase/reviews
- Frase Pricing & Plans: Full Breakdown 2026: https://www.hyperwriteai.com/blog/frase-pricing
- Frase Review: https://www.sellerstacked.co/reviews/frase
- Frase Pricing 2026: Plans, Features & SEO Content Value | ShelbyAI: https://www.shelby-ai.com/pricing/frase/
- Frase Review 2026: AI Content Optimization That Actually Ranks | ShelbyAI: https://www.shelby-ai.com/reviews/frase-review/
- Frase.io Review: AI Content Optimization Tool Testing (2026: https://www.stackmatix.com/blog/frase-io-review
- Frase Review: Pricing, Features and Alternatives: https://www.theanswerenginereport.com/tools/frase
- Frase Review 2026: Is It Still Worth It?: https://youraisoft.com/frase-review/
Additional AI research evidence43 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record openai:c3
- AI research evidence record grok:11
- AI research evidence record grok:14
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:5-11
- AI research evidence record openai:c2
- AI research evidence record deepseek:frase_home
- AI research evidence record deepseek:g2_frase
- AI research evidence record grok:0
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:3-5
- AI research evidence record anthropic:3-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:20-5
- AI research evidence record anthropic:4-10
- AI research evidence record kimi:frase-2026
- AI research evidence record grok:11
- AI research evidence record grok:14
- AI research evidence record kimi:frase-pricing-2026
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:38-5
- AI research evidence record anthropic:38-6
- AI research evidence record anthropic:38-7
- AI research evidence record anthropic:4-14
- AI research evidence record anthropic:17-15
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c2
- AI research evidence record anthropic:27-13
- AI research evidence record anthropic:27-14
- AI research evidence record anthropic:27-15
- AI research evidence record grok:11
- AI research evidence record grok:14
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
- 35
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #10
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
21 independent · 14 company-owned
Evidence support
28 direct · 7 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 8b5794ea6601e9a35a936f84de4d17a78e6bd08a5b94dbc930a70b7af89553e1