Answer Capsule
Keyword Insights is a good fit for SERP-driven topic clustering and conventional SEO content planning, but it is not a proven end-to-end AI-search visibility platform. Four of seven platforms named it during the ranking stage (anthropic, google, grok, perplexity), a 57% share, with an average listed rank of 3.0 and a best rank of 1. The strongest reason to consider it is live Google SERP-based clustering with intent classification, competitor visibility, and content briefs at a moderate $99/month Professional tier. The main limitation is that no reviewed official material establishes direct measurement of ChatGPT, Google AI Overviews, Perplexity, or generative-citation visibility.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms |
| Share of included platform responses | 57.1% |
| Average listed rank | 3.0 |
| Best listed rank | 1 |
| Relevant product/model/plan | Keyword Insights Professional Plan ($99/month with 20,000 credits); standard paid subscription with clustering, search-intent analysis, topical clusters, and content briefs |
| Overall use-case fit | Good for SERP-based topic clusters and content planning; unproven for AI-search visibility |
| Research date | 2026-09-18 |
Platforms naming Keyword Insights in the ranking stage were anthropic (rank 1), grok (rank 2), google (rank 3), and perplexity (rank 6). All seven platforms evaluated fit, but only four named the entity during ranking discovery. Fit ratings were "strong" from grok and "good" from anthropic, deepseek, google, kimi, openai, and perplexity.
Why Keyword Insights Qualified for This Study
Questions This Section Answers
- Is Keyword Insights a good choice for AI SEO Tools for Topic Clusters and Content Planning?
- How many AI platforms named Keyword Insights in the ranking stage for topic clustering and content planning?
Keyword Insights qualified because it was named by four of seven platforms during ranking discovery and because its documented feature set maps directly to the study's category criteria: topic clusters, related questions, search intent, competitor coverage, entities, subtopics, and content opportunities [1]. It cleared the study's two-mention minimum with a 57.1% platform share and an average listed rank of 3.0.
The qualification is not unanimous. Three of seven platforms did not name it in the ranking stage, and the platform that ranked it lowest placed it sixth. Fit ratings clustered at "good," with only grok rating it "strong" [3]. No platform rated it weak or unsuitable for the core clustering and planning use case.
The entity is a company with a single relevant product line rather than a suite. Every platform that named it pointed to the same plan family: the Professional Plan at $99/month with 20,000 credits, or a "standard paid plan" equivalent [4].
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Topic Clusters and Content Planning
Questions This Section Answers
- Which Keyword Insights plan should a buyer choose for topic clustering and content planning?
- Does the Keyword Insights Professional Plan include clustering, search intent, and content briefs in one subscription?
The Professional Plan is the most relevant stated option for this use case. It is listed at $99/month with 20,000 credits, three user seats, ten workspaces, and team sharing [6]. The lower tier is listed as Basic at $58/month with 10,000 credits, and a Premium tier at $299/month with 50,000 credits appears in one platform's pricing summary [8].
The plan bundles the capabilities the study asked about. Clustering groups keywords by live, country-specific Google SERP overlap rather than semantic similarity alone, and supports up to 200,000 keywords per clustering operation according to company documentation [9]. One platform reported a 50,000-keyword per-project limit, and another reported a 5M-keyword ceiling for Enterprise plans — a scale conflict buyers should verify [10].
Intent classification assigns keywords and clusters to informational, transactional, commercial, and other categories using machine learning, LLMs, and live SERP data [11]. Content briefs surface competitor headings and questions from Reddit and Quora, and the company describes AI-generated briefs with key headings, critical questions, and additional topics [13].
Plan naming is inconsistent across sources. The ranking-stage description referred to a "Standard paid plan," while the current pricing page labels the lower tier "Basic" and the next tier "Professional" (official:C2). One platform also referenced a "Standard or higher plan" for advanced clustering [15]. Buyers should confirm the exact tier name at checkout.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Keyword Insights does well for topic clusters and content planning?
- Is Keyword Insights accurate for SERP-based keyword clustering according to multiple AI platforms?
Platforms agreed on the core mechanism: Keyword Insights clusters keywords using live Google SERP overlap, not just semantic similarity. Company documentation describes grouping by shared ranking URLs with country-specific live data [16]. Independent reviews describe a default threshold that groups keywords sharing at least 40% of top-ranking URLs, adjustable by the user, and a method comparing the top seven ranking results [17]. One independent review describes grouping keywords that share at least three of the same ranking URLs [19].
Platforms also agreed on intent classification. Multiple sources describe informational, transactional, commercial, and other intent categories derived from the top 10 Google results, with intent labels layered on top of SERP-based clusters [20].
Agreement extended to content planning outputs. Platforms described content briefs with recommended subtopics and entities, competitor visibility benchmarking, and content-gap identification where the buyer has no ranking URL [24].
Pricing agreement was strong on the headline figure. Multiple independent 2026 sources and the official pricing page converge on $99/month for Professional with 20,000 credits [28]. Credit consumption was also widely repeated: 1 credit per keyword clustered, 100 credits per content brief, 200 credits per writing assistant article, and 1,200 credits per AI Writer Agent article [32].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Does Keyword Insights actually track visibility in ChatGPT, Google AI Overviews, or Perplexity?
- Why do sources disagree about Keyword Insights pricing and plan names?
The sharpest disagreement concerns AI-search visibility. No reviewed official material establishes direct tracking of ChatGPT, Google AI Overviews, Perplexity, generative citations, answer inclusion, or recommendation-platform visibility [35]. One platform noted the company markets "topical authority" for Google and AI search and points to Reddit, Quora, and YouTube opportunities AI pulls from, but found no documented entity disambiguation, schema guidance, or quantified AI-citation measurement [39]. Another platform stated plainly that no explicit GEO, AI Overview, ChatGPT Search, or Gemini optimization features were found on the official site as of its research date [41].
Pricing conflicts persist. Capterra listings show a Professional plan at $145/month with 36,000 credits, while the official page and multiple 2026 reviews show $99/month with 20,000 credits [42]. One platform flagged that the official pricing page snippet and third-party pages do not fully agree on plan names, credits, or price history [37].
Entity-mapping depth is uncertain. Company sources say briefs include "recommended subtopics and entities," but independent sources do not verify systematic entity extraction or relationship mapping beyond subtopic inclusion [45]. One platform found the platform does not prominently market entity-based topic modeling or named-entity recognition [46].
Cannibalization detection is contested. One independent comparison states Keyword Insights "does not have dedicated cannibalization detection," while another platform notes the tool identifies when multiple pages rank for the same cluster [47]. The distinction between basic multi-page detection and a dedicated workflow is unresolved in the supplied evidence.
Scale limits conflict. Company documentation claims up to 200,000 keywords per clustering operation and 5M for Enterprise, while one platform reported a 50,000-keyword per-project limit [36].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What topic-cluster and content-planning features does Keyword Insights include for SEO teams?
- Can Keyword Insights export clusters, intents, and content briefs for an existing content workflow?
Topic-cluster identification is the platform's core strength. Clustering uses live, country-specific Google SERP overlap and includes topical-cluster relationships based on NLP, with support for up to 200,000 keywords per operation per company documentation [49]. One platform described grouping "clusters of clusters" using NLP to find semantic relationships between clusters [50].
Search intent and page-type planning are built into the clustering output. The platform classifies keywords and clusters into intent categories using machine learning, LLMs, and live SERP data, and reports dominant intent and ranking URLs [52]. One platform noted recent updates added user-journey mapping (TOFU/MOFU/BOFU) and automated irrelevant-cluster filtering [54].
Related questions and subtopics come from multiple sources. The content-brief workflow surfaces competitor headings and questions from Reddit and Quora, and Keyword Discovery pulls from Google Autocomplete, Reddit, Quora, and People Also Asked in real time [55].
Competitor coverage and content opportunities are reported inside clusters. Clustering reports include ranking URLs, average rank, potential traffic opportunities, difficulty, and SERP features, and content briefs analyze top-ranking articles and competitor headings [49]. A Competitor Visibility tab benchmarks site visibility against competitors for a topic and highlights gaps [58].
Content production connects to planning. The platform links discovery and clustering to content briefs, a writing assistant, and an AI Writer Agent [60]. One platform noted generated content still requires editorial review and fact checking [60].
Data integration and scale include user-provided keyword lists, Keyword Discovery, Search Console data, country-specific SERPs, and an API for intent processing, with terms stating standard customers can display up to 200,000 keywords per order [49]. One platform reported Google Search Console integration and user-journey mapping as recent additions [54], while another stated no Search Console integration was documented and that API access is limited to higher tiers [50]. That conflict should be verified directly.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Keyword Insights cost per month, and are there setup or cancellation fees?
- What happens to Keyword Insights credits if a buyer cancels or exceeds the monthly allocation?
The headline price is $99/month for the Professional Plan with 20,000 credits, three user seats, ten workspaces, and team sharing [63]. The Basic tier is listed at $58/month with 10,000 credits, and a Premium tier at $299/month with 50,000 credits appears in one platform's summary [65]. Enterprise pricing is custom [63].
Credit consumption drives real cost. Clustering is listed at 1 credit per keyword, content briefs at 100 credits per brief, the Writing Assistant at 200 credits per article, and the AI Writer Agent at 1,200 credits per article [63]. One platform estimated a typical workflow of 15,000–20,000 credits for 10 articles per month at 1,000 keywords each [64]. At 1,200 credits per AI Writer Agent article, the 20,000-credit Professional allocation supports roughly 16 agent-written articles before clustering or briefs are counted.
A $1 seven-day trial with 5,000 one-time credits is advertised, and the trial automatically downgrades to pay-as-you-go at the end unless a subscription is activated [63]. Pay-as-you-go clustering credits are stated to be valid for 30 days [68]. One platform reported pay-as-you-go at $7.99 per 1,000 credits, limited to clustering only [64]. Another reported top-up credits at $5–7 per 1,000 depending on plan [69].
Contract terms are restrictive on refunds. The terms state subscriptions can be canceled in the account or through support, purchases are nonrefundable, and unused subscription services or credits reset at the end of the billing period [68]. One platform reported annual billing offers a 20% discount and that refund policies typically do not support refunds, only cancellations [70]. Another reported annual pricing tiers offer a 20% to 21% discount [70].
Additional fees are not fully exposed. Enabling rank checking inside clustering uses an additional credit per keyword following a September 2025 change [71]. Exact taxes, payment-processing costs, API charges, and overage pricing were unclear from the reviewed pages [63]. Annual Professional pricing, credit rollover, and overage purchase mechanics were not fully exposed [63].
Best Suited For
Questions This Section Answers
- Who gets the most value from Keyword Insights for topic clusters and content planning?
- Is Keyword Insights a good fit for agencies that need bulk clustering and content briefs?
Keyword Insights is best suited to companies that need SERP-based keyword clustering and topical-content architecture, SEO teams planning pages from search intent, ranking URLs, competitor headings, related questions, and content gaps, and agencies needing bulk clustering, topical relationships, content briefs, and optional writing workflows.
Platforms converged on similar buyer profiles. One platform described content teams converting large keyword lists into SERP-validated topic clusters quickly, agencies building topical authority where SERP overlap is the primary clustering signal, and budgets of $99–$299/month seeking clustering without full SEO platform overhead [72]. Another described budget-conscious SMBs looking for a paid tool under $100/month for cluster planning [73]. A third described agencies and SEO teams clustering large lists based on live SERP data and intent, and content planners wanting automated hub-and-spoke architecture maps with built-in briefs [74].
The common thread is a team that already has seed keywords or a discovery process and needs the clustering and briefing layer. One platform noted Keyword Insights is complementary to core tools like Ahrefs, used for discovery, while Keyword Insights is used for clustering [75].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Keyword Insights for AI SEO Tools for Topic Clusters and Content Planning?
- Is Keyword Insights the wrong choice for a buyer who needs AI-search citation tracking?
Buyers requiring direct measurement of visibility or citations in ChatGPT, Google AI Overviews, Perplexity, or other generative-answer systems should not treat Keyword Insights as a solution for that need. The documented workflow is primarily based on Google SERP data, keywords, search intent, competitors, and content briefs [76].
Teams seeking a comprehensive entity graph, knowledge-panel optimization, or recommendation-platform analytics are also a poor fit. One platform found no explicit entity recognition or graph-based entity mapping for content optimization [78]. Another found entity identification limited to brief subtopics [79].
Buyers needing an all-in-one rank-tracking, backlink, technical-audit, and AI-search monitoring suite should look elsewhere. One platform noted the tool lacks native backlink or full technical SEO features [80]. Another noted no backlink analysis, site audits, or rank tracking [81].
Teams that need very high-volume clustering without watching monthly credit consumption, or buyers who need simple flat-rate pricing with no usage-based tradeoffs, are also flagged as poor fits [82]. One platform noted credit-based usage may limit scale for very large lists without top-ups [80].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Keyword Insights for a buyer who needs Google Search Console-native clustering?
- When should a buyer choose a full SEO suite or an AI-search visibility platform instead of Keyword Insights?
Choose an AI-search visibility platform instead when the primary requirement is monitoring mentions, citations, answer inclusion, or share of voice in ChatGPT, Google AI Overviews, Perplexity, or similar systems. One platform named Floyi for explicit AI Authority scoring and ChatGPT Search/Gemini tracking, and Topical Map AI for "AI Search / GEO Optimized" positioning [83].
Choose a broader enterprise SEO suite when the buyer also needs mature backlink intelligence, technical auditing, rank tracking, content optimization, and competitive research in one system. One platform noted Semrush or Ahrefs better fit teams requiring a full SEO platform with clustering as a secondary feature [85].
Choose a semantic or entity-focused content platform when entity relationships, knowledge graphs, and semantic coverage matter more than Google SERP-based clustering. One platform named CognitiveSEO or MarketMuse for entity emphasis, and Profound or Clearscope for native generative-engine optimization [86].
Choose a GSC-native clustering tool when cannibalization detection based on actual site performance data is the priority. One platform named SEOcluster.ai, starting at $29/month, for cannibalization detection based on actual Google Search Console data, and noted Keyword Insights does not have dedicated cannibalization detection in its clustering workflow [87].
Choose a lower-cost or unlimited-brief option when budget or brief volume is the constraint. One platform named Frase at $39/month billed yearly with a cluster map, and RibatAI for unlimited briefs on paid tiers [89].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Keyword Insights before signing a contract?
- Which Keyword Insights features are credit-metered add-ons versus included in the Professional Plan?
Confirm whether the current Professional plan includes all required clustering, intent, topical-cluster, brief, API, and Search Console functionality, or whether some features are separately metered. One platform reported Google Search Console integration as a recent addition, while another stated no Search Console integration was documented — verify directly [91].
Confirm the exact annual Professional price, renewal price, tax treatment, and cancellation timing. The official page shows an annual view with a stated 20% saving, but the exact annual amount was not fully exposed [93].
Confirm whether unused credits ever roll over, and what happens to credits or workspaces after cancellation or downgrade. The terms state unused subscription services or credits reset at the end of the billing period, and pay-as-you-go clustering credits are valid for 30 days [94].
Confirm current costs and limits for rank checking, API calls, content briefs, Writer Assistant usage, and AI Writer Agent articles. Rank checking inside clustering uses an additional credit per keyword following a September 2025 change [95].
Confirm which US locations, languages, devices, and SERP features are supported for clustering and intent analysis. One platform reported live SERP data from 212 countries and 127 languages [96].
Confirm whether Keyword Insights provides any direct AI-search monitoring, generative citation tracking, or integrations with ChatGPT, Google AI Overviews, Perplexity, or other answer engines. No reviewed official material established these capabilities [97].
Confirm whether clusters, intents, questions, entities, competitor headings, and content briefs can be exported in the required formats, and what data-retention, privacy, training-use, and customer-content policies apply to uploaded keyword lists, Search Console data, briefs, and generated content.
Confirm the current plan name and price. Capterra listings show $145/month for Professional, while the official page and multiple 2026 reviews show $99/month [99].
Final AI Consensus Verdict
Keyword Insights is a good fit for AI SEO Tools for Topic Clusters and Content Planning when the buyer's priority is SERP-validated clustering, intent classification, competitor coverage, and content briefs. Four of seven platforms named it in the ranking stage, with an average listed rank of 3.0 and a best rank of 1. Six platforms rated the fit "good" and one rated it "strong" [101].
The consensus is narrower than the fit ratings suggest. Platforms agreed on the clustering mechanism, intent classification, content briefs, and the $99/month Professional headline price. They disagreed or expressed uncertainty about AI-search visibility, entity-mapping depth, cannibalization detection, scale limits, and plan naming [102].
Treat Keyword Insights as an SEO planning foundation rather than a proven end-to-end AI-search visibility platform. The Professional Plan is the most relevant stated option, but credit consumption, annual pricing, AI-search coverage, and current feature entitlements should be verified before purchase [105]. Buyers whose core requirement is generative-answer visibility should evaluate dedicated AI-search platforms alongside it.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — anthropic, deepseek, google, grok, kimi, openai, and perplexity — each of which evaluated Keyword Insights against the study's category criteria for AI SEO Tools for Topic Clusters and Content Planning. The study used the run research date of 2026-09-18 as the authoritative study date. Platform-reported research dates ranged from 2026-04-14 (deepseek) to 2026-09-19 (anthropic, google, grok, kimi, perplexity), with openai reporting 2026-09-18.
Ranking statistics reflect only the four platforms that named Keyword Insights during ranking discovery: anthropic, google, grok, and perplexity. All seven platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. Fit ratings were "strong" from grok and "good" from the remaining six.
Evidence in this review is platform-reported and was not independently verified by the writer stage. Company-owned sources are labeled as such in the Sources section, and independent sources are separated. Where platforms disagreed, the conflict is described rather than resolved. No personal testing, customer experience, or independent benchmark verification was performed.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-18, and those dates are provenance metadata rather than independent proof of freshness. One platform (deepseek) reported a research date of 2026-04-14, roughly five months earlier than the run date, and its pricing confidence was rated "low" [107].
Official-site retrieval failed for one or more platform mentions, and no failed fetch was used as a verified domain key. One platform noted that official-site caching failed during retrieval, so exact pricing and plan details were based on third-party pages [107]. Another noted official site retrieval failed for direct URL fetch, with product details relying on search-indexed content [108].
Pricing conflicts were not resolved. Capterra listings show $145/month for Professional with 36,000 credits, while the official page and multiple 2026 reviews show $99/month with 20,000 credits [109]. Annual Professional pricing, credit rollover, overage mechanics, API pricing, and exact rank-checking limits were not fully exposed in the reviewed text [112].
Scale limits conflict across sources. Company documentation claims up to 200,000 keywords per clustering operation and 5M for Enterprise, while one platform reported a 50,000-keyword per-project limit [113].
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Company-reported performance claims, including time savings and ranking gains, lack independent validation in the reviewed evidence [115].
AI-search and recommendation-platform capabilities were not established by the reviewed official materials [115]. This limitation applies directly to the study's stated scope, which includes content opportunities relevant to both search engines and AI systems.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- Important Changes to Rank Tracking: https://changelog.keywordinsights.ai/important-changes-to-rank-tracking/
- Floyi | Build Topical Authority: https://floyi.com/
- RibatAI — the AI SEO topic-cluster content planner: https://ribatai.com/
- Topical Map Generator - AI-Powered Topical Maps for SEO: https://topicalmap.ai/
- Topic Clusters: Build Topical Authority on Purpose — Frase: https://www.frase.io/features/clusters
- SEO Topical Authority for Google and AI Search Visibility | Keyword Insights: https://www.keywordinsights.ai/
- Keyword Insights Year in Review: https://www.keywordinsights.ai/blog/2025-product-updates/
- How To Write A Content Brief: https://www.keywordinsights.ai/blog/how-to-write-an-optimised-content-brief/
- 17 Best Keyword Clustering Tools (Free & Paid Tested) – Complete 2026 Guide: https://www.keywordinsights.ai/blog/keyword-clustering-tools/
- Understanding Context and Intent: https://www.keywordinsights.ai/blog/search-intent-analysis/
- User Intent: What is User Intent and How to Optimize For It: https://www.keywordinsights.ai/blog/user-intent/
- Keyword Insights Documentation - Learning Center: https://www.keywordinsights.ai/docs/
- Features - Keyword Insights: https://www.keywordinsights.ai/features/
- Keyword Clustering Tool – Group Keywords by SERP Similarity: https://www.keywordinsights.ai/features/keyword-clustering/
- Keyword Intent Tool - Identify Search Intent At Scale: https://www.keywordinsights.ai/features/search-intent/
- Unbeatable pricing - Keyword Insights: https://www.keywordinsights.ai/pricing/
- Terms & Conditions - Keyword Insights: https://www.keywordinsights.ai/terms-conditions/
- Pricing - MarketMuse: https://www.marketmuse.com/pricing/
- Official pricing and terms source: https://www.keywordinsights.ai/pricing/#price-comparison
Additional AI research evidence117 records
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.2
- AI research evidence record grok:web:3
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.3.2
- AI research evidence record openai:c_pricing
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.3.2
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_intent
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c_brief
- AI research evidence record anthropic:37-3
- AI research evidence record deepseek:1
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:9-14
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:12-12
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:20-5
- AI research evidence record anthropic:43-2
- AI research evidence record openai:c_intent
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:1-11
- AI research evidence record anthropic:20-1
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:16-2
- AI research evidence record perplexity:c11
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:12-10
- AI research evidence record google:1.3.3
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_features
- AI research evidence record openai:c_clustering
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.2
- AI research evidence record kimi:kwi-site-2024
- AI research evidence record perplexity:c13
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:37-3
- AI research evidence record deepseek:1
- AI research evidence record anthropic:38-19
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c_intent
- AI research evidence record openai:c_intent_blog
- AI research evidence record google:1.1.4
- AI research evidence record openai:c_brief
- AI research evidence record anthropic:1-7
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:1-11
- AI research evidence record anthropic:20-1
- AI research evidence record openai:c_features
- AI research evidence record openai:c_terms
- AI research evidence record deepseek:1
- AI research evidence record openai:c_pricing
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:12-10
- AI research evidence record google:1.3.3
- AI research evidence record openai:c_terms
- AI research evidence record grok:web:0
- AI research evidence record google:1.4.4
- AI research evidence record openai:c_rank_changes
- AI research evidence record anthropic:12-2
- AI research evidence record deepseek:1
- AI research evidence record google:1.3.2
- AI research evidence record google:1.4.2
- AI research evidence record openai:c_clustering
- AI research evidence record openai:c_features
- AI research evidence record deepseek:1
- AI research evidence record anthropic:37-3
- AI research evidence record grok:web:0
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:floyi-com-2024
- AI research evidence record kimi:topicalmap-ai-2024
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:1
- AI research evidence record anthropic:38-19
- AI research evidence record anthropic:38-3
- AI research evidence record kimi:frase-clusters-2024
- AI research evidence record kimi:ribatai-2024
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_terms
- AI research evidence record openai:c_rank_changes
- AI research evidence record anthropic:2-20
- AI research evidence record openai:c_features
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c13
- AI research evidence record google:1.3.1
- AI research evidence record grok:web:3
- AI research evidence record openai:c_features
- AI research evidence record anthropic:38-19
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_terms
- AI research evidence record deepseek:1
- AI research evidence record kimi:kwi-site-2024
- AI research evidence record perplexity:c13
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_features
- AI research evidence record openai:c_brief
- AI research evidence record perplexity:c1
Independent Sources
- 8 Best Keyword Clustering Tools for Topic Authority in 2026: https://bestpage.ai/best-tools/seo/best-keyword-clustering-tools
- Best Keyword Clustering Tools for SEO in 2026: https://clusterview.ai/blog/best-keyword-clustering-tools/
- Best AI SEO Tools for Content Planning: https://dg10.agency/seo-tools/
- Keyword Insights AI Keyword Clustering Tool Profile: https://gappsy.com/software/keyword-insights/
- Keyword Insights Review 2026: Is It Worth It for Content Clustering?: https://guestpost.uk/keyword-insights-review/
- 5 Best Keyword Clustering Tools for SEO Tested in 2026: https://loopo.org/blog/keyword-clustering-tools
- SEOcluster.ai vs Keyword Insights | Performance-First vs SERP-Based Clustering: https://seocluster.ai/compare/seo-cluster-ai-vs-keyword-insights
- Keyword Insights Review and Competitors: https://tooljunction.io/keyword-insights-review/
- Keyword Insights Reviews, Pricing & Alternatives (2026: https://toolradar.com/tools/keyword-insights
- Best AI Keyword Clustering Tools 2026: What Most SEOs Get Wrong: https://topicalmap.ai/blog/auto/best-ai-keyword-clustering-tools-2026-what-most-seos-get-wro
- Keyword Insights In-Depth Cost Review: https://topicfinder.com/keyword-insights-review/
- Keyword Insights Pricing and Reviews: https://www.capterra.com/p/10007358/Keyword-Insights/
- Keyword Insights Software Pricing, Alternatives & More 2026: https://www.capterra.com/p/230999/Keyword-Insights/
- Keyword Insights Coupon Codes & Price Checks: https://www.colormango.com/product/keyword-insights-discount-coupon/
- Keyword Insights Review 2026: Features, Pricing and Alternatives: https://www.gappsy.com/tools/keyword-insights/
- Keyword Insights Reviews & Features: https://www.getapp.ie/software/1020084/keyword-insights
- Keyword Insights Review: https://www.softwaretestinghelp.com/keyword-insights-review/
- AI Keyword Clustering Tools: 2026 SEO Guide: https://www.successtechservices.com/ai-keyword-clustering-tools/
- Keyword Insights Review (2026): Pricing, Features: https://www.tooljunction.io/ai-tools/keyword-insights
Additional AI research evidence117 records
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.2
- AI research evidence record grok:web:3
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.3.2
- AI research evidence record openai:c_pricing
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.3.2
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_intent
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c_brief
- AI research evidence record anthropic:37-3
- AI research evidence record deepseek:1
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:9-14
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:12-12
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:20-5
- AI research evidence record anthropic:43-2
- AI research evidence record openai:c_intent
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:1-11
- AI research evidence record anthropic:20-1
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:16-2
- AI research evidence record perplexity:c11
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:12-10
- AI research evidence record google:1.3.3
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_features
- AI research evidence record openai:c_clustering
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.2
- AI research evidence record kimi:kwi-site-2024
- AI research evidence record perplexity:c13
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:37-3
- AI research evidence record deepseek:1
- AI research evidence record anthropic:38-19
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c_intent
- AI research evidence record openai:c_intent_blog
- AI research evidence record google:1.1.4
- AI research evidence record openai:c_brief
- AI research evidence record anthropic:1-7
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:1-11
- AI research evidence record anthropic:20-1
- AI research evidence record openai:c_features
- AI research evidence record openai:c_terms
- AI research evidence record deepseek:1
- AI research evidence record openai:c_pricing
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:12-10
- AI research evidence record google:1.3.3
- AI research evidence record openai:c_terms
- AI research evidence record grok:web:0
- AI research evidence record google:1.4.4
- AI research evidence record openai:c_rank_changes
- AI research evidence record anthropic:12-2
- AI research evidence record deepseek:1
- AI research evidence record google:1.3.2
- AI research evidence record google:1.4.2
- AI research evidence record openai:c_clustering
- AI research evidence record openai:c_features
- AI research evidence record deepseek:1
- AI research evidence record anthropic:37-3
- AI research evidence record grok:web:0
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:floyi-com-2024
- AI research evidence record kimi:topicalmap-ai-2024
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:1
- AI research evidence record anthropic:38-19
- AI research evidence record anthropic:38-3
- AI research evidence record kimi:frase-clusters-2024
- AI research evidence record kimi:ribatai-2024
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_terms
- AI research evidence record openai:c_rank_changes
- AI research evidence record anthropic:2-20
- AI research evidence record openai:c_features
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c13
- AI research evidence record google:1.3.1
- AI research evidence record grok:web:3
- AI research evidence record openai:c_features
- AI research evidence record anthropic:38-19
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_terms
- AI research evidence record deepseek:1
- AI research evidence record kimi:kwi-site-2024
- AI research evidence record perplexity:c13
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c_pricing
- AI research evidence record openai:c_clustering
- AI research evidence record anthropic:2-19
- AI research evidence record openai:c_features
- AI research evidence record openai:c_brief
- AI research evidence record perplexity:c1
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
- 7
- Source records
- 38
- Ranking mentions
- 4 of 7
- Platform share
- 57%
- Final consensus rank
- #5
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
19 independent · 19 company-owned
Evidence support
33 direct · 5 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 e006d8ed0af7f76cd47614738d7094e50d119469b6450bcaf92603cf39e13c23