Answer Capsule
Frase is a good fit for B2B marketing and revenue teams that need SERP-based content research, competitor-page analysis, topic discovery, optimization guidance, and emerging AI-search visibility in one workflow. Four of the seven platforms in this study named Frase during ranking discovery, and it finished seventh overall with an average listed rank of 6.0. The strongest reason to consider it is the combination of research briefs, SEO/GEO scoring, and AI Visibility monitoring aimed at vendor-discovery and comparison content. The main limitation is that Frase is a content optimization layer, not a full keyword, backlink, technical SEO, or buyer-intent intelligence platform, so most B2B teams will need it alongside other tools.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms (anthropic, deepseek, openai, perplexity) |
| Share of included platform responses | 57.1% |
| Average listed rank | 6.0 |
| Best listed rank | 5 |
| Relevant product/model/plan | Frase Professional ($129/month) is the most relevant default; Starter ($49/month) suits a one-site pilot |
| Overall use-case fit | Good, with mixed ratings from two platforms |
| Research date | 2026-09-18 |
Why Frase Qualified for This Study
Questions This Section Answers
- Is Frase a good choice for AI SEO Tools for B2B Companies?
- Why did Frase only appear on 4 of 7 platforms in this AI SEO study?
Frase qualified because four of the seven platforms named it during ranking discovery, and every platform that named it also produced a fit assessment for this use case. The platforms that named Frase were anthropic, deepseek, openai, and perplexity [1]. Its best listed rank was 5, from deepseek and perplexity, and its average listed rank across the four naming platforms was 6.0.
Fit ratings were not uniform. Anthropic, deepseek, openai, and perplexity rated Frase a good fit; google rated it strong; grok and kimi rated it mixed. That spread is itself a finding: the platforms agreed Frase does content research and optimization well, but disagreed about how much of the AI-search and buyer-journey use case it actually covers.
Frase's own materials describe it as a content operating system for AI search, with research, briefs, scoring, publishing, and AI Visibility in one product [5]. Independent reviews broadly describe it as strong for SERP-driven briefs and content optimization while noting that expert review remains necessary [7]. This review treats company-owned pages as vendor claims and independent reviews as partial corroboration, not verification.
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for B2B Companies
Questions This Section Answers
- Which Frase plan should a B2B team choose for comparison pages and vendor-discovery content?
- Is Frase Starter enough for a B2B content program, or is Professional required?
Frase Professional is the most relevant plan for this use case. It lists at $129/month month-to-month or $103/month billed yearly and includes 3 seats, 5 sites, 40 articles, and 250 audit pages per month, plus a content calendar, internal linking suggestions, and channel repurposing [9]. Starter lists at $49/month or $39/month billed yearly with 1 seat, 1 site, 10 articles, and 50 audit pages monthly, which is enough for a one-site pilot but not for an active B2B program [9].
Scale lists at $299/month or $239/month billed yearly with 5 seats, up to 10 domains, 100 articles, and 1,000 audit pages monthly, and adds Claude and Gemini to AI Visibility coverage [9]. Enterprise is custom-priced and is where white-label reports, branded client portals, SSO/SAML, dedicated account management, and SLA options sit [9].
Plan naming is a genuine conflict in the inputs. The ranking-stage data refers to "Basic" and "Team," while Frase's current official pricing page lists Starter, Professional, Scale, and Enterprise [9]. DeepSeek's response also used Basic and Team labels [13]. Buyers should treat the current official names as the ones to quote, and confirm them at purchase.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Frase does well for B2B buying-stage content?
- Does Frase actually support competitor comparison and content gap analysis for B2B teams?
The clearest agreement was on research and brief generation. Platforms across the set described Frase as pulling top-ranking SERP results, analyzing what competing pages cover, and assembling a research brief quickly [14]. One independent review described the shift from roughly an hour of manual competitor reading to about two minutes. Frase's own documentation says Competitor Analysis compares your brand head-to-head against chosen competitors, including who ranks and how they frame the topic [16].
Platforms also agreed on optimization guidance. Frase provides SEO and GEO scores, content optimization, internal-link suggestions on Professional and above, and Content Guard monitoring for pages losing Google performance [17]. Independent reviews describe the same scoring and brief workflow [18].
A third area of agreement was AI-search visibility as a differentiator. Frase's pricing page states that AI Visibility monitors AI engines and alerts the user, and that it never touches content (official:C2). Independent reviews describe dual SEO and GEO scoring as unusual relative to competitors focused only on traditional search.
Finally, platforms agreed that Frase is a layer, not a full stack. Multiple responses placed it as the content execution and optimization layer alongside separate keyword research, intent data, or technical SEO tools [20].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Does Frase track brand citations across ChatGPT, Perplexity, Gemini, and Claude for B2B buyer prompts?
- How reliable is Frase's AI Visibility data for B2B vendor-discovery prompts?
The sharpest disagreement was about AI-engine citation tracking. Google's response described Frase as tracking brand presence, citations, and performance across ChatGPT, Gemini, Perplexity, and Claude, with prompts categorized into Awareness, Consideration, and Decision stages [22]. Kimi's response stated the opposite: that Frase does not appear to offer dedicated tracking of brand mentions or citations across those engines, and that its AI features focus on content creation and SERP analysis [24]. Perplexity's response landed in between, noting that AI Visibility coverage varies by tier and that one independent review claims AI Search Tracking may be an add-on in some plans [26].
This conflict is material for B2B buyers. Frase's own pricing page says AI Visibility is included and that Scale adds Claude and Gemini, and the trial includes AI Visibility on ChatGPT and Google AI (official:C2). But no supplied independent source verifies measurement accuracy, citation completeness, or engine coverage against a buyer's actual target prompts. The vendor-reported nature of these claims should be treated as a limitation, not a settled fact.
A second uncertainty concerns buyer-journey prompt mapping. Google's response described funnel-stage categorization [22]. Kimi's response said Frase does not map specific AI prompts across the buyer journey and that its research is keyword- and topic-based rather than prompt-journey mapped [28]. DeepSeek's response also found no documented buyer-journey prompt tracking feature [29].
A third uncertainty concerns revenue alignment. No supplied source establishes CRM integration, pipeline attribution, buyer-stage classification, or reliable measurement of revenue impact from Frase [30]. Buyers who need AI visibility tied to pipeline should treat that as unproven here.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which Frase features matter most for B2B comparison, alternatives, and vendor-selection pages?
- Can Frase capture the questions B2B buyers actually ask before they contact a vendor?
Frase's research workflow pulls live top-ranking results for a topic, analyzes what competing pages cover, and builds a brief grounded in a target audience [32]. Its Topic Explorer surfaces related topics, user questions from Quora, People Also Ask, and SERPs, and trending topics. For B2B teams writing alternatives articles, comparison pages, and solution-evaluation content, that maps directly onto the research step.
Frase Answers is a conversational widget that captures what visitors ask so teams can create content for it [33]. That is the closest supplied feature to first-party buyer-question discovery, and it is included on every plan including Starter (official:C2). It is not a substitute for interviews, win/loss analysis, CRM data, or validated demand research [32].
Optimization guidance includes SEO and GEO scores, content optimization, internal-link suggestions on Professional and above, and Content Guard, which writes a fix when a published page starts losing Google rank or traffic and republishes it after approval [34]. Approval is the default on every Content Guard change, and opting into autonomous low-risk fixes is a user-controlled switch (official:C2).
Publishing supports WordPress, Webflow, Sanity, Wix, or FraseCMS [34]. FraseCMS hosting is free at 100,000 page views per month with any plan, with Basic at $19/month and Pro at $99/month as add-ons (official:C2).
Independent reviews consistently note that AI drafts require editorial work. One review reported that the Write step produces a fast first draft that should be edited carefully before publishing [35]. Industry data cited in one response put editorial revision rates at 30-65% across programs, with no Frase-specific figure available.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Frase cost per month for a B2B team, and what add-ons raise the real cost?
- What are Frase's cancellation, renewal, and refund terms before a B2B team signs an annual contract?
Current official pricing lists Starter at $49/month month-to-month or $39/month billed yearly, Professional at $129/month or $103/month yearly, Scale at $299/month or $239/month yearly, and Enterprise as custom [36]. Annual billing saves 20% and is billed once a year, with the option to switch back to monthly (official:C2).
Add-ons and overages are where the real monthly cost moves. Extra seats cost $29/month each on Professional and Scale [36]. Pay-as-you-go overages are optional and off by default: Professional lists $5 per extra article, $0.50 per audit page, and $0.25 per AI prompt; Scale lists $4, $0.40, and $0.20 [36]. Starter simply stops at its monthly limits rather than billing overages (official:C2). FraseCMS hosting is free at the base tier, then $19/month for Basic or $99/month for Pro on top of the subscription (official:C2).
Contract terms are the least settled area. Frase's Terms of Service state that the initial term is one year unless the order form says otherwise, that the agreement auto-renews for equal periods unless either party gives at least 30 days' notice of non-renewal, and that all fees paid are final with no refunds (official:C3). The pricing page separately states that yearly billing can be switched back to monthly and that upgrades are prorated immediately while downgrades take effect at the next billing cycle (official:C2). Those two statements sit in tension, and buyers should get the applicable terms in writing.
A 7-day free trial with no credit card is stated on the pricing page, with trial quantities capped at 5 articles, 50 audit pages, 25 AI prompts, and up to 3 seats [36]. Some older sources cited a 5-day trial; the current official page says 7 days (official:C2).
Pricing confidence is high for list prices and moderate for contract mechanics. Independent summaries broadly match the official tiers but differ on plan naming and annual equivalents [38]. One independent review claims AI Search Tracking may be an extra cost in some plans, which the main pricing page does not confirm [39].
Best Suited For
Questions This Section Answers
- Who gets the most value from Frase for B2B vendor-discovery and comparison content?
- Is Frase worth it for a small B2B content team that already has a keyword research tool?
Frase is best suited to B2B content teams producing and refreshing comparison, category, solution, and buying-stage pages [40]. It fits teams that want research briefs, content scoring, internal-link suggestions, publishing, and AI-visibility monitoring in one system rather than across four tools [41].
It also fits teams that already own keyword research and intent data and need a content execution layer. One independent review put it plainly: if your team already uses a separate keyword research tool for search volume and long-tail keywords, Frase fits as the content execution layer [42]. The typical B2B SaaS pattern cited in one response is a research or scoring tool plus a drafting or optimization tool plus a brand-voice tool, with Frase in the optimization slot.
It fits organizations testing how their brand and competitors appear in monitored AI-search prompts, subject to validating engine coverage and prompt limits against their actual targets [41]. And it fits small or mid-sized teams where Professional's 3 seats and 5 sites match the operating shape [41].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Frase for AI SEO Tools for B2B Companies?
- Is Frase a good fit for enterprise B2B teams that need native collaboration and governance?
Frase is probably not the right primary tool for teams that need a full enterprise SEO suite with extensive keyword, backlink, rank-tracking, and technical-audit data [43]. It is also a poor fit for teams seeking validated buyer intent, pipeline attribution, or statistically rigorous voice-of-customer research rather than content and search signals [45].
Enterprise collaboration is a documented weak point. One independent review stated that Frase is not the right primary tool for enterprise, that collaboration gaps are significant, and that the credit system becomes unpredictable and expensive at enterprise scale, with Clearscope or MarketMuse offering better team-based workflows. Another noted that teams should expect to keep Google Docs in the editorial review process [47].
Teams that need white-label reporting or branded client portals without buying Enterprise are also a poor fit, since those are Enterprise-only [43]. And teams whose primary need is account-level intent data for ABM should look at intent platforms instead [44].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Frase for a B2B team that needs deep keyword and backlink data?
- When should a B2B buyer choose a dedicated AI-visibility platform instead of Frase?
Choose Semrush or Ahrefs when the primary need is broad keyword research, competitor domain intelligence, backlink analysis, technical SEO, and rank tracking rather than an integrated content workflow [48]. Choose Surfer SEO or Clearscope when the main requirement is specialized on-page content optimization and editorial scoring with less emphasis on publishing and AI-visibility monitoring [48]. Choose a dedicated AI-visibility platform when prompt coverage, cross-engine measurement, citation verification, and longitudinal competitive tracking matter more than content drafting and optimization [48].
Kimi's response named specific alternatives for AI-engine citation tracking and pipeline attribution, including SEORCE, Kennext, OmniSEO, and Georion, with SEORCE described as offering buyer-journey prompt mapping and pipeline attribution [49]. Those are competitor-published or review-site claims and were not independently tested in this study.
For teams that need intent data to identify which accounts are researching a category, the alternatives named were 6sense, Bombora, and Demandbase [54]. For technical SEO and site architecture, the alternatives named were Screaming Frog, Semrush, and Ahrefs [54]. For budget-constrained teams buying a first SEO tool, RankIQ or SE Ranking were named as offering broader feature coverage at lower cost [54].
Questions to Verify Before Buying
Questions This Section Answers
- What should a B2B buyer confirm with Frase before signing an annual contract?
- Which Frase limits and add-on costs should a B2B team verify before committing?
Confirm whether AI Visibility covers the exact US engines, languages, locations, and buying prompts the team needs, and how citations are validated [55]. Confirm whether target competitors, comparison pages, and non-ranking sources are included in competitive analysis, or whether analysis is limited to live SERP results [55].
Confirm the plan's actual capacity against your program: domains, seats, articles, audit pages, prompts, and historical reporting periods [55]. Confirm whether CRM, analytics, Search Console, and marketing-automation integrations exist for your attribution workflow [55].
Get the exact cancellation, renewal, refund, data-export, and content-ownership terms in writing, given the tension between the Terms of Service auto-renewal language and the pricing page's switch-to-monthly language (official:C3, official:C2). Confirm what additional charges apply to AI prompts, article generation, audit pages, FraseCMS traffic, API usage, and extra seats [55].
Confirm whether Frase Answers question data can be exported or accessed through an API and segmented by account, funnel stage, product, or geography [55]. Confirm what human-review controls, approval logs, and permissions apply before publishing or before any automated Content Guard change [55]. Finally, run a representative trial using real comparison and vendor-discovery prompts before committing annually [55].
Final AI Consensus Verdict
Frase is a good fit for B2B marketing and revenue teams that need content research, competitor-page analysis, topic discovery, optimization guidance, and early AI-search visibility in one workflow. Four of seven platforms named it, its best listed rank was 5, and its average listed rank was 6.0. Fit ratings split between good, strong, and mixed, and the split tracks a real disagreement about how much of the AI-engine citation and buyer-journey prompt use case Frase actually covers.
Professional is the most relevant default plan for a small or mid-sized team, and Starter is appropriate for a one-site pilot. Frase should usually complement, rather than replace, a broader SEO intelligence stack and independent buyer-research systems. Buyers should verify AI Visibility engine coverage, prompt limits, overage rates, and contract terms before committing to an annual plan.
How This Review Was Produced
This review was produced from seven platform responses to a single prompt asking which AI SEO tools they would recommend for B2B companies, and why. Each platform returned a fit assessment, use-case findings, pricing and terms, limitations, and questions to verify before buying. Frase was named during ranking discovery by four of the seven platforms: anthropic, deepseek, openai, and perplexity. The remaining three platforms evaluated fit without naming Frase in the ranking stage.
The study date is 2026-09-18. Platform-reported research dates differ: deepseek reported 2026-01-23, while anthropic, google, grok, kimi, openai, and perplexity reported 2026-09-18. DeepSeek's response also ran without search enabled, which is a material limitation for its pricing and feature claims.
Company-owned pages were used for pricing, plan structure, and feature descriptions. Independent reviews were used for corroboration and for limitations. Where the two conflicted, both positions are reported rather than resolved. This review is a synthesis of platform-reported evidence, not independent product testing. For the full ranking across all evaluated tools, see the AI SEO Tools for B2B Companies consensus index.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-18, and deepseek's response is dated 2026-01-23 and ran without search enabled. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named Frase during ranking discovery; all seven platforms evaluated fit, but three did not name it in the ranking stage. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated.
Plan naming and pricing conflict across sources. The ranking-stage data used Basic and Team labels, while current official pricing lists Starter, Professional, Scale, and Enterprise. Older sources cite a $45/month Starter price and a 5-day trial; current official pages state $49/month and 7 days. Frase's AI Visibility and buyer-question capabilities are vendor-reported, and no supplied independent source confirms measurement accuracy, citation completeness, or revenue outcomes. Exact cancellation, refund, data-retention, and non-Enterprise service-level terms were not verified from the reviewed sources. Whether Frase can reliably distinguish informational searches from high-intent B2B vendor-discovery prompts is unclear. No personal testing, customer experience, or guaranteed performance is claimed anywhere in this review.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- Deep Research | Frase Crash Course: https://docs.frase.io/content/deep-research
- Deep Research | Frase Crash Course: https://docs.frase.io/feature-reference/deep-research
- Georion Enterprise AI Visibility Platform: https://georion.app/solutions/enterprise
- Frase Pricing, Packages, and Add-ons - Help Center: https://help.frase.io/pricing-plans
- Kennext - AI-Powered SEO + AEO Audits for B2B SaaS: https://kennext.ai/
- Meev AI SEO Agent That Writes and Publishes the Fix: https://meev.ai/growth-agent
- SEORCE Product Features and Plans: https://seorce.com/product
- SEORCE - AI-Powered SEO Platform for B2B: https://seorce.com/solutions/b2b
- AI Visibility Tracking: Monitor AI Mentions & Citations: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGxj7Q5mqOtEb1qBLx-Y_82sVHx7M1Xsz-jlVwx8mvjqW3Xa3UGb6-ud1NSRJSs-cuIsmj0HTfZPkvQPQxeRH5lVYfl9EbjgngRFVrkTpnHm7SbMJGopjdgqXDeb8-XRI7m
- Frase – AI Content Optimization Tool: https://www.frase.io
- How to master GEO and SEO content research with AI: 4 steps with examples | Frase: https://www.frase.io/blog/how-to-master-geo-038-seo-content-research-with-ai-4-steps-with-examples
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- SEO Content Optimization Tool - Frase: https://www.frase.io/features/seo-content-optimization
- Frase Pricing | SEO & GEO Content Platform Plans: https://www.frase.io/pricing
- Frase Reviews 2026 — What Thousands of Teams Say: https://www.frase.io/reviews
- Official pricing and terms source: https://www.frase.io/company/terms
Additional AI research evidence58 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-3
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:1
- AI research evidence record openai:c2
- AI research evidence record perplexity:7
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record grok:web:1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:11
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record grok:web:6
- AI research evidence record perplexity:8
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:22-2
- AI research evidence record perplexity:10
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.3
- AI research evidence record kimi:toolchase_omniseo_2026
- AI research evidence record kimi:seorce_product_2026
- AI research evidence record perplexity:1
- AI research evidence record perplexity:14
- AI research evidence record kimi:seorce_solutions_2026
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record perplexity:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c1
- AI research evidence record grok:web:1
- AI research evidence record perplexity:11
- AI research evidence record perplexity:14
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:26-6
- AI research evidence record openai:c1
- AI research evidence record kimi:seorce_solutions_2026
- AI research evidence record kimi:seorce_product_2026
- AI research evidence record kimi:kennext_2026
- AI research evidence record kimi:toolchase_omniseo_2026
- AI research evidence record kimi:georion_2026
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:8
- AI research evidence record anthropic:22-2
Independent Sources
- Frase Review: I Priced the Plans Per Article. Entry Is $4.90 Each: https://crawlraven.com/blog/frase-review
- Frase Review 2026: The SEO Workflow Built for the AI Search Era: https://dailyaireviews.com/frase-io-review-2026/
- Frase Pricing 2026: Plans, Cost & Free Tier: https://getpulsesignal.com/pricing/frase
- Frase Pricing 2026: Plans, Real Costs, and Where Teams Overspend | Spike AI: https://getspike.ai/blog/frase-pricing-plans-cost/
- Frase Review 2026: Is It Still Worth It for Content Teams? | Spike AI: https://getspike.ai/blog/frase-review-is-it-worth-it/
- What Is a B2B Buyer? Definition, Behavior & Buying Journey (2026: https://martal.ca/what-is-a-b2b-buyer-lb/
- Frase Review 2026: The Content Research Tool for Teams That Write to Rank: https://pagecontent.io/blog/frase-seo-review
- Frase Review: Features, Pricing & Workflow Fit - Slate: https://slatehq.com/blog/frase-review
- How B2B Buyers Use AI to Find Vendors | SwiftOtter: https://swiftotter.com/blogs/b2b-buyers-ai-search-vendor-research
- Best AI SEO Tools for B2B SaaS in 2026 | Ranked: https://thesmarketers.com/blogs/best-ai-seo-tools-b2b-saas-2026/
- Omniseo Review 2026: Pricing, Features & Alternatives: https://toolchase.com/tool/omniseo/
- Frase Pricing 2026: Plans, Real Costs & Is It Worth It?: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGnWve2DsZKrLGV12cc1CsrzIm2RWAiX_zXR2yis7C9eqjtJ_SmFcRa6mSub15k497izZmodYdxRB9zvSeWN6eTcakWvrTYpHT9SUFvVOZtSnnc2Q1j4HzeeVNluCACHQ==
- Frase Review 2026: SEO, GEO, Pricing & Hands-On Tests: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGox6SfSIyjQOfB5G66xTX4Uf9ihPhIfBULdCghw18AbOIraLsdh0MyPRxuEy28hi5TMBFHbx-fFluSsgwkxJUkQNbh5aFLVMDNsqo5vORb6fWFdK-LATPBPzc=
- Frase Pricing & Plans: Full Breakdown 2026 - HyperWrite: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH0xksVpZKC08WDBMVBCVoODRMHlui_csZUjvjv2Su1YJMu4uIdXZ4rkGelecjW3_n9A0bRo1DBSs9vIh8x_7X3IRUVVqX6dKAfH50-y3jxZJbawxp_V80GCBFM4ZgePRkVz_j_GVpbdzU=
- Frase Review 2026: AI SEO Features, GEO, Pricing & Use cases: https://work-management.org/marketing/frase-review/
- B2B Buyer Journey: Definition, Stages & What It Means for You: https://www.airfleet.co/glossary/b2b-buyer-journey/
- An honest look at Frase AI pricing: What's the real cost?: https://www.eesel.ai/blog/frase-ai-pricing
- Frase review: How we use it for research-heavy content | Embarque: https://www.embarque.io/post/frase-review
- Frase.io Pricing: https://www.g2.com/products/frase-io/pricing
- How AI Has Changed the B2B Buying Process in 2026: https://www.geisheker.com/how-ai-changed-b2b-buying-process/
- Frase Pricing & Plans: Full Breakdown 2026: https://www.hyperwriteai.com/blog/frase-pricing
- Frase Review for Agencies (2026): Is It Worth It, and What Are the Alternatives? | Rankability Blog: https://www.rankability.com/blog/frase-content-optimization-tool-review/
- B2B Buyers Choose A Vendor Before They Reach Out – 3 Ways to Be Visible When It Counts: https://www.searchenginejournal.com/b2b-buyers-choose-a-vendor-before-they-reach-out-3-ways-to-be-visible-when-it-counts/570499/
- Frase Review 2025: Features, Pricing, Pros & Cons: https://www.semrush.com/blog/frase-review/
- Frase Pricing: Every Plan Compared (2026: https://www.softwr.com/pricing/frase
- Frase.io Review: AI Content Optimization Tool Testing (2026: https://www.stackmatix.com/blog/frase-io-review
- Frase review: pricing, verdict, fit: https://www.theseoagent.ai/blog/frase-review
- Frase Review (2026): Pricing, Features, Alternatives: https://www.tooljunction.io/ai-tools/frase
Additional AI research evidence58 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-3
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:1
- AI research evidence record openai:c2
- AI research evidence record perplexity:7
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record grok:web:1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:11
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record grok:web:6
- AI research evidence record perplexity:8
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:22-2
- AI research evidence record perplexity:10
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.3
- AI research evidence record kimi:toolchase_omniseo_2026
- AI research evidence record kimi:seorce_product_2026
- AI research evidence record perplexity:1
- AI research evidence record perplexity:14
- AI research evidence record kimi:seorce_solutions_2026
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record perplexity:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c1
- AI research evidence record grok:web:1
- AI research evidence record perplexity:11
- AI research evidence record perplexity:14
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:26-6
- AI research evidence record openai:c1
- AI research evidence record kimi:seorce_solutions_2026
- AI research evidence record kimi:seorce_product_2026
- AI research evidence record kimi:kennext_2026
- AI research evidence record kimi:toolchase_omniseo_2026
- AI research evidence record kimi:georion_2026
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:8
- AI research evidence record anthropic:22-2
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- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 49
- Ranking mentions
- 4 of 7
- Platform share
- 57%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
31 independent · 18 company-owned
Evidence support
22 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 5b9e1c0d47b8fd05fab1aa695a4b0fb8f97d9cce48d271f3b35d31d811561d9a