Answer Capsule
Rankability is a good fit for companies that need recurring Perplexity citation and competitor monitoring inside a broader AI-search tracking platform. Two of the seven platforms in this study named Rankability during the ranking stage — a 28.6% share of included platform responses — at an average listed rank of 2.5 and a best listed rank of 1. The strongest reason to consider it is citation-level tracking: Rankability states that Tracker records cited pages and URLs, shows citations won or lost, and retains citation history over time [1]. The main limitation is verification: the recommended "Standard plan" does not appear on the current public pricing page, which lists Starter, Core, and Team instead [2].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (grok, perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.5 |
| Best listed rank | 1 |
| Relevant product/model/plan | Rankability Tracker; recommended as "Standard plan," which was not verified. Current public pricing page lists Core as the first plan that includes Perplexity |
| Overall use-case fit | Good |
| Research date | 2026-09-19 |
Why Rankability Qualified for This Study
Questions This Section Answers
- Why did Rankability qualify for this Perplexity visibility tracking study if only two platforms named it?
- Is Rankability a credible option for Perplexity citation tracking, or did it qualify on unrelated SEO features?
Rankability qualified because it cleared the study's minimum-mention threshold and because the platforms that evaluated it mapped its documented capabilities onto all four category criteria: citation tracking, source analysis, competitor benchmarking, and historical monitoring.
Two of the seven included platforms — grok and perplexity — named Rankability during the ranking stage, meeting the minimum of two mentions. Its average listed rank was 2.5, with a best rank of 1 (perplexity). The remaining five platforms evaluated Rankability's fit for this use case but did not name it in their ranked recommendations.
Qualification rests on documented capability rather than on ranking frequency. Rankability states that Tracker records cited pages and URLs, shows citations won or lost, identifies sources preferred by AI systems, and provides citation history over time [3]. It also states that tracking can run daily, weekly, or on a custom schedule, with mentions, citations, positions, competitors, and response data retained as trends or history [3]. Independent coverage describes Rankability as best for source-level Perplexity citation tracking [5] and as offering the deepest page-level citation data among reviewed tools [6].
One platform, deepseek, rated the fit uncertain and reported that it found no verifiable public documentation of Perplexity-specific citation tracking [7]. That response is preserved in this review rather than averaged away.
The Product, Model, Plan, or Service Most Relevant to Perplexity Visibility Tracking Tools
Questions This Section Answers
- Which Rankability plan does a buyer actually need to track Perplexity citations?
- Is the Rankability "Standard plan" real, or should a buyer ask for Core instead?
The relevant offering is Rankability Tracker, but the plan name is unresolved. The recommendation supplied to this study named "Rankability Tracker; Standard plan." The current public pricing page does not list a Standard plan; it lists Starter, Core, and Team, and shows Perplexity included in Core and Team but not Starter [8]. Google's evaluation identified the Core plan as the relevant tier and stated that Perplexity tracking requires Core at $199 per month [9]. Grok reported that a dedicated Perplexity Rank Tracker page lists $99 per month entry while some comparisons indicate Core at $199 per month for full Perplexity features [10].
Rankability's own Perplexity Rank Tracker page describes the product as capturing every text mention and tracking position over time, recording brand mentions, citations, source URLs, and position in Perplexity responses, and showing trend lines for whether visibility is growing or declining [12]. The same page states that a good Perplexity tracker should track both text mentions and source citations, capture actual URLs, and run automatically, and that Rankability's Tracker does all of this [15].
Buyers should treat the plan name as an open question. The conflict is between a recommendation label ("Standard") and the vendor's current public plan names (Starter, Core, Team), and it cannot be resolved from the supplied evidence.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree Rankability does well for Perplexity visibility tracking?
- Does Rankability track Perplexity citations at the URL level, or only brand mentions?
Agreement was strongest on citation tracking, source analysis, competitor benchmarking, and historical monitoring — the four criteria this study was built around. Six of the seven platforms rated Rankability a good or strong fit; one rated it uncertain.
On citation tracking, Rankability states that Tracker records cited pages and URLs and shows citations won or lost [17], and that it records brand mentions, citations, source URLs, and position in Perplexity responses [18]. Grok reported URL-level citation records for monitored keywords, with the exact pages Perplexity links to and flags on shifts over time [19]. Kimi reported that Rankability tracks which specific pages get cited in Perplexity answers, how often, and whether those citations are stable or volatile [21].
On source analysis, Rankability states that Tracker identifies sources preferred by AI systems [17]. Anthropic reported that Tracker captures the actual URLs Perplexity cites and tracks which domains Perplexity relies on [18]. Google reported that the platform monitors the exact source URLs Perplexity references for each tracked keyword [24].
On competitor benchmarking, Rankability states that Tracker records competitive position in AI answers, identifies brands appearing in the same response, and tracks changes in share or position over time [17]. Anthropic reported competitor extraction and comparison that shows when competing brands appear in Perplexity answers while yours does not [26]. Kimi reported prompt-level ranking data enabling share-of-voice comparison against competitors on identical prompts [21].
On historical monitoring, Rankability states that tracking runs daily, weekly, or on a custom schedule and that mentions, citations, positions, competitors, and response data are retained as trends or history [17]. Anthropic reported that Tracker records mention, citation, and link data across multiple scans over time [30]. Google reported daily scans on tracked keywords with position shifts and share-of-voice changes compiled over time [32].
Agreement among AI platforms reflects shared source material, not independent proof of product quality. Most of the supporting claims trace back to Rankability's own pages.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether Rankability tracks Perplexity brand mentions without a citation?
- Which Rankability claims about Perplexity tracking are unverified and should a buyer confirm directly?
Disagreement clustered around plan naming, pricing, brand-mention coverage, and independent verification. One platform rated the fit uncertain outright.
Deepseek rated the fit uncertain, reporting that no verifiable public evidence confirms Rankability tracks Perplexity citations or answers, and that all four evaluation criteria remained unclear for this use case [34]. Deepseek's research ran without search enabled and is dated 2026-01-15, eight months before the study date — a provenance difference disclosed in the methodology limitations below.
Kimi reported an explicit gap: Rankability does not track brand mentions when Perplexity names a brand without citing its URL [35]. This conflicts with Google's finding that Rankability tracks brand text mentions even without a hyperlink [36] and with Rankability's own claim that Tracker captures every text mention [38]. The supplied evidence does not resolve which is correct.
Pricing and plan naming conflicted across sources. G2 lists $199, $399, and $799 tiers [39]. EchoWi lists $99, $199, $399, and $799 [41]. One review reported plans starting at $149 per month [42]. PikaSEO reported Starter at $79 per month [43], and AICiteKit reported Solo at $79 and Core at $199 [44]. Rankability's own pages state public self-serve pricing starts at $99 per month [45]. The current pricing page lists Core at $199 per month or $1,990 annually, Starter at $99 per month without Perplexity, and Team at $399 per month [47].
Other unresolved points: whether historical data is exportable at full citation-URL granularity, how long it is retained, and whether Perplexity scans use a fixed or variable result environment [47]. Anthropic reported that credit consumption rates are not published, making cost per tracked keyword impossible to calculate independently [41]. One independent review noted that data updates are not always as instantaneous as some high-frequency organic trackers [49]. No independent evidence was verified for accuracy, completeness, or customer outcomes [47].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Rankability track Perplexity citations, source URLs, competitors, and history in one dashboard?
- How many AI platforms does Rankability cover alongside Perplexity, and does that matter for a Perplexity-only buyer?
Rankability's documented capabilities cover all four study criteria, but they are delivered as a general AI visibility module rather than a Perplexity-only product.
| Criterion | Documented capability | Assessment |
|---|---|---|
| Citation tracking | Records cited pages and URLs; shows citations won or lost; records citations, source URLs, and position in Perplexity responses | Advantage |
| Source analysis | Identifies sources preferred by AI systems; captures actual URLs Perplexity cites and tracks which domains it relies on | Advantage |
| Competitor benchmarking | Records competitive position in AI answers; identifies brands in the same response; tracks share or position changes | Advantage |
| Historical monitoring | Daily, weekly, or custom schedules; mentions, citations, positions, competitors, and response data retained as trends | Advantage |
| Tracking scale | Core lists 125 active prompts, three workspaces, unlimited seats, daily tracking, API/MCP access; each prompt runs across every enabled platform | Neutral |
| Independent validation | Reviewed evidence is primarily Rankability's own product and pricing material | Unclear |
Platform coverage extends beyond Perplexity. Anthropic reported that Tracker monitors Perplexity alongside ChatGPT, Google AI Overviews, Gemini, Claude, Brave Search, and DuckDuckGo in one dashboard [50]. Google reported that Starter covers ChatGPT, Google AI Mode, and Claude; Core adds AI Overviews and Perplexity; Team adds Gemini, Grok, and Copilot [51]. Kimi reported four-engine coverage, fewer than competitors offering six [52]. These counts conflict and should be confirmed with the vendor.
Two structural notes matter for this use case. First, prompt allowances are shared across enabled AI platforms, so enabling Perplexity may consume the same allowance rather than creating a separate Perplexity quota [53]. Second, Rankability does not publish specialized Perplexity-only features; citation tracking and mention capture are part of the general AI visibility module shared with other engines [50]. Kimi also reported that Rankability does not include PerplexityBot crawler tracking, so it cannot diagnose why a page is not being cited [52].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Rankability cost per month for Perplexity tracking, and is there a cheaper Perplexity-only option?
- What are Rankability's cancellation, refund, and fixed-term contract terms before a buyer commits?
Published pricing is inconsistent across sources, and the current public pricing page does not list a Standard plan. The most directly supported figures come from Rankability's own pricing page.
| Plan | Listed price | Perplexity included? | Source |
|---|---|---|---|
| Starter | $99/month | Not listed as included | |
| Core | $199/month; $1,990/year | Yes | |
| Team | $399/month | Yes | |
| Agency | $799/month | Not specified in supplied evidence |
Conflicting figures from other sources include $79 entry tiers [54], $149 starting pricing [56], and credit-based tiers at $99, $199, $399, and $799 [57]. The current pricing page lists Core with 125 active prompts, three workspaces, unlimited seats, daily tracking, and API/MCP access [58]. Anthropic reported that Core includes 30,000 credits per month and two to three seats, and that annual billing carries a 17% discount [59]. These figures do not reconcile with the prompt-based description on the current pricing page.
Additional fees are partly unpublished. The pricing page states that additional AI platforms can be added à la carte but does not publish the amount, and it does not publish overage pricing for prompts or workspaces [58]. Anthropic reported that extra credits, seats, and clients are available as add-ons [57].
Contract terms conflict materially. Rankability states that monthly billing can be cancelled in one click or at any time on its Tracker page, and that monthly plans offer a seven-day free trial [58]. Anthropic reported month-to-month billing available, one-click cancellation with no retention call, and one-month credit rollover [57]. Grok reported cancellation in one click with no retention call [60]. However, Rankability's legal terms describe fixed-term plans, including 12-month commitments identified at checkout, where monthly charges are installments toward a total contract price and are not a month-to-month subscription; the same terms state that all payments are final and strictly non-refundable to the fullest extent permitted by law (official:C3). Annual cancellation, refunds, renewal timing, and data-retention terms were not verified [58]. Buyers should confirm in writing which structure applies to the plan they purchase.
Best Suited For
Questions This Section Answers
- Who gets the most value from Rankability for Perplexity visibility tracking?
- Is Rankability worth it for an agency managing Perplexity visibility across multiple clients?
Rankability is best suited to buyers who want Perplexity monitoring as part of a broader AI-search and SEO tracking program, not as a standalone Perplexity tool.
The strongest fits, based on supplied evidence:
- Companies wanting Perplexity monitoring alongside ChatGPT, Google AI, Claude, or other AI platforms [61].
- Teams needing citation-level source analysis, competitor comparisons, scheduled tracking, and historical visibility trends [63].
- Organizations that also want traditional SEO, local, video, API, reporting, and multi-workspace capabilities [61].
- Agencies managing multiple clients across AI and traditional search visibility, including white-label reporting and multi-client workflows [69].
- SEO teams wanting granular, source-level citation analytics that link specific content pages to AI citation performance [71].
Google's evaluation summarized the agency case directly: Rankability is a strong option for agencies and cross-functional teams tracking Perplexity citations as part of a broader SEO and generative engine optimization strategy [72]. Anthropic reached a similar conclusion, noting the all-in-one design reduces vendor sprawl for teams already invested in content optimization [73].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Rankability for Perplexity visibility tracking?
- Is Rankability a poor fit for a buyer who only needs Perplexity brand mentions without citations?
Several buyer profiles are a weak match, and the platforms were more consistent on this than on pricing.
- Buyers seeking only Perplexity tracking at the lowest possible cost [75].
- Solo operators or small businesses with limited budgets, given a $199 per month minimum for Perplexity access [76].
- Teams needing brand mention tracking when Perplexity names a brand without citing its URL — kimi reported this as an explicit gap [78].
- Buyers wanting PerplexityBot crawl diagnostics to understand why pages are not cited [78].
- Organizations requiring independently audited accuracy, guaranteed citation inclusion, or clearly documented Perplexity-specific methodology [75].
- Buyers whose required account configuration is specifically called Standard and who need that plan to be publicly documented [75].
- Buyers who need to evaluate feature fit before a $2,400-plus annual commitment, since the reviewed evidence does not confirm a free trial on the current pricing page [80].
Anthropic also reported that organic keyword tracking is less robust than specialized rank trackers and that the interface has a steep learning curve, which limits value for buyers whose primary need is traditional rank tracking [81].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Rankability for a buyer who needs cheap Perplexity-only tracking?
- When should a buyer choose a dedicated AI visibility tool instead of Rankability's all-in-one platform?
Alternatives become preferable when the buyer's need is narrower, cheaper, or more Perplexity-specific than Rankability's all-in-one positioning.
Anthropic named several lower-cost or more specialized options: Otterly at roughly $29 per month and Akii at $49 per month for lower entry points; Profound at roughly $499 per month or Rankscale at €20 per month for citation-focused depth; LLMrefs or Topify for AI-only focus without traditional SEO rank tracking; and EchoWi or LLM Pulse for transparent per-query pricing [83]. Kimi named Searchable or Otterly AI for brand mention tracking without URL citation, xSeek for PerplexityBot crawl diagnostics, Searchable at $125 per month or SE Ranking Visible at $189 per month for six-engine coverage, Otterly AI at $29 per month entry for agency white-label reporting, and Keyword.com at $29 per month or AWR at $49 per month for the tightest budgets [84]. Google suggested Cairrot or LLMrefs at $39 to $79 per month for dedicated low-cost AI-only tracking, and GrackerAI or Profound for enterprise-level diagnostics and sentiment analysis [85].
Openai framed the tradeoff as scope: choose a Perplexity-focused or lower-cost tracker when the buyer needs only Perplexity monitoring and does not need Rankability's broader SEO, local, video, API, or multi-platform stack, and choose a larger enterprise platform when independently documented data-quality controls, formal governance, or substantially higher prompt and workspace volumes are required [86]. Perplexity noted that buyers needing clearly documented Perplexity-specific tracking, independently verified pricing and contract terms, or stronger public documentation on historical depth should look elsewhere [87].
These alternatives are named as reported by the evaluating platforms. This study did not independently test them.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Rankability before signing a contract for Perplexity tracking?
- Which Rankability plan details, limits, and terms are undocumented and need written confirmation?
The supplied platform responses converged on a verification checklist. Buyers should get written answers before committing.
Plan and pricing:
- Which current plan provides Perplexity access, and is it officially called Core rather than Standard? [89]
- Can the account track Perplexity alone, and what is the effective cost for Perplexity-only use? [89]
- Are prompt allowances shared across platforms, and what are the overage prices? [89]
- What is the exact plan name, monthly price, annual discount, and seat or client limit for the entry tier in the United States? [90]
- What does one credit buy in terms of Perplexity operations — one prompt, one scan of N prompts, or one comparison? [91]
Data and coverage:
- How are Perplexity citations normalized when the same source appears with different URLs, tracking parameters, or page versions? [89]
- Can the buyer export every cited URL, citation position, response snapshot, competitor, timestamp, and historical change through the UI or API? [89]
- What Perplexity locations, languages, devices, and search modes are supported? [89]
- How far back does historical Perplexity citation data persist, and is there a retention limit? [91]
- Does the platform track brand mentions in Perplexity answers when no URL is cited? [92]
- Does Rankability use Perplexity's official API, web scraping, or synthetic prompt execution, and how does that affect result accuracy? [91]
Terms and process:
- What are annual renewal, cancellation, refund, retention, and deletion terms, and does a fixed-term commitment apply? [89]
- Can Rankability provide a live Perplexity-specific sample report using the buyer's prompts and competitors? [89]
Final AI Consensus Verdict
Rankability is a good, not unqualified, fit for Perplexity visibility tracking. Six of seven platforms rated the fit good or strong; one rated it uncertain. The two platforms that named it in the ranking stage placed it at an average rank of 2.5 with a best rank of 1.
The case for Rankability rests on documented coverage of all four study criteria — citation tracking, source analysis, competitor benchmarking, and historical monitoring — inside a platform that also handles traditional SEO and multiple AI engines [93]. The case against rests on verification gaps: the recommended Standard plan is not on the current public pricing page [97], Perplexity-only economics are unclear [98], brand-mention coverage without a citation is disputed [99], and the reviewed evidence is mainly vendor-reported [97].
Buyers who want Perplexity monitoring alongside other AI platforms and traditional search should evaluate Rankability seriously. Buyers who need cheap Perplexity-only tracking, brand mention coverage without citations, or independently audited accuracy should compare alternatives first and confirm plan details in writing.
How This Review Was Produced
This review evaluates Rankability only for the Perplexity Visibility Tracking Tools use case. It is not a broad company review.
Seven AI platforms evaluated Rankability's fit against four category criteria: citation tracking, source analysis, competitor benchmarking, and historical monitoring. Each platform returned a fit rating, a direct answer, strengths, limitations, pricing and terms, and questions to verify before buying. Two platforms — grok and perplexity — named Rankability during the ranking stage, meeting the study's minimum of two mentions. The remaining five evaluated fit without naming it in their ranked recommendations.
The study date is 2026-09-19. Platform-reported research dates are provenance metadata and do not independently prove freshness. All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. 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.
Methodology Limitations
- Platform-reported research dates differ from the authoritative run date. Deepseek's response is dated 2026-01-15 and ran without search enabled; the other six platforms are dated 2026-09-19.
- Conflicting product names, pricing, and capabilities were not resolved by guessing. The Standard plan conflict, the brand-mention conflict, and the pricing conflicts are described as conflicts, with verification steps for buyers.
- Most supporting evidence is company-owned. Of the deduplicated sources, 14 are owned, 17 are independent, and one is unclear. No independent source verified Perplexity citation accuracy, coverage consistency, or customer outcomes.
- Agreement among AI platforms reflects shared source material and does not prove product quality.
- No personal testing, customer experience, or independent verification was performed for this review.
- Pricing, plan names, and platform coverage counts conflict across sources and should be confirmed directly with the vendor before purchase.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Rankability Official Website: https://www.rankability.com/
- 22 best AI search rank tracking & visibility tools for 2026: https://www.rankability.com/blog/best-ai-search-visibility-tracking-tools/
- 10 best rank trackers for enterprise SEO (2026: https://www.rankability.com/blog/best-enterprise-rank-trackers/
- How to Track Brand Mentions in Perplexity (2026 Guide) | Rankability Blog: https://www.rankability.com/blog/how-to-track-brand-mentions-in-perplexity/
- 10 best LLM SEO rank trackers for agencies (2026) | Rankability Blog: https://www.rankability.com/blog/llm-seo-rank-trackers
- Rankscale AI Review for Agencies (2026): Is It Worth It for Client AI Visibility? | Rankability Blog: https://www.rankability.com/blog/rankscale-ai-review/
- ChatGPT Rank Tracker — Track Mentions, Citations & AI Visibility | Rankability: https://www.rankability.com/chatgpt-rank-tracker/
- Rankability vs Moz Pro: SEO Platform Comparison 2025: https://www.rankability.com/comparisons/rankability-vs-moz-pro/
- Google Rank Tracker — Daily Keyword Rank Tracking & SERP Monitoring | Rankability: https://www.rankability.com/google-rank-tracker/
- LLM Rank Tracker: Monitor Your Brand's LLM Visibility | Rankability: https://www.rankability.com/llm-rank-tracker/
- Perplexity Rank Tracker — Track Citations, Sources & Brand Mentions | Rankability: https://www.rankability.com/perplexity-rank-tracker/
- Pricing | Rankability: https://www.rankability.com/pricing/
- Tracker: SEO & AI Search Rank Tracking for Agencies | Rankability: https://www.rankability.com/products/tracker/
- Official pricing and terms source: https://www.rankability.com/terms/
Additional AI research evidence100 records
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-1
- AI research evidence record kimi:s1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record google:2.1.1
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:1-29
- AI research evidence record anthropic:1-30
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-27
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record kimi:s1
- AI research evidence record anthropic:1-29
- AI research evidence record anthropic:12-5
- AI research evidence record google:1.3.1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-4
- AI research evidence record kimi:s6
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:2-3
- AI research evidence record google:1.1.1
- AI research evidence record google:1.1.3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:10-4
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:15-1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:1-1
- AI research evidence record google:2.1.1
- AI research evidence record kimi:s1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:13-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-4
- AI research evidence record grok:14
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:12-5
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:18-8
- AI research evidence record anthropic:37-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record google:2.1.1
- AI research evidence record kimi:s1
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.4
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.3
Independent Sources
- Rankability Review 2026: An Undefined Credit | EchoWi: https://echowi.ai/blog/rankability-review/
- MaxAEO vs Rankability: Which Is Better for AI Search Visibility in 2026?: https://maxaeo.com/maxaeo-vs-rankability
- Best Rankability Alternatives: 6 Tools Worth Using Instead in 2026: https://nightwatch.io/blog/best-rankability-alternatives/
- 14 Best Perplexity Rank Tracking Tools (2026) - Omnia: https://omnia.so/blog/perplexity-rank-tracking-tools
- Rankability Review 2026: Pricing, Features, and Better Alternatives | PikaSEO: https://pikaseo.com/articles/rankability-review
- Best Perplexity Rank Trackers: 18 Compared (Sept 2026: https://seoturtle.com/seo-insights/best-perplexity-rank-trackers-2026
- Perplexity Visibility Tracker: Free Brand Audit: https://solcrys.com/perplexity-visibility-tracker/
- Rankability Pricing 2026: Plans Start at $149/Month | TMB: https://thatmarketingbuddy.com/pricing/rankability
- Perplexity Visibility Tracker - Tracking LLM: https://trackingllm.com/tools/perplexity-visibility-tracker/
- Free Perplexity Visibility Tracker | Track Your Brand Visibility: https://trackmyvisibility.com/free-tools/perplexity-visibility-tracker/
- Profound vs Rankability in 2026: 4 Deciding Factors: https://ustechautomations.com/resources/blog/profound-vs-rankability-2026
- Rankability Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030486/Rankability/
- Rankability Pricing 2026: https://www.g2.com/products/rankability/pricing
- Perplexity Visibility Tracker: Monitor Brand Mentions & Citations | GEOflux: https://www.geoflux.ai/perplexity-visibility-tracker
- Perplexity Visibility Tracker: Monitor Your Citations & Rankings | RankZero: https://www.rankzero.io/trackers/perplexity
- Which Best Online Perplexity Rank Tracker Wins In 2026?: https://www.scalenut.com/blogs/best-online-perplexity-rank-tracker
- Best Perplexity Rank Tracking Tools in 2026: Tested and Compared: https://www.searchable.com/blog/best-perplexity-tracking-tools
Additional AI research evidence100 records
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-1
- AI research evidence record kimi:s1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record google:2.1.1
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:1-29
- AI research evidence record anthropic:1-30
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-27
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record kimi:s1
- AI research evidence record anthropic:1-29
- AI research evidence record anthropic:12-5
- AI research evidence record google:1.3.1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-4
- AI research evidence record kimi:s6
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:2-3
- AI research evidence record google:1.1.1
- AI research evidence record google:1.1.3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:10-4
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:15-1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:1-1
- AI research evidence record google:2.1.1
- AI research evidence record kimi:s1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:13-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-4
- AI research evidence record grok:14
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:12-5
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:18-8
- AI research evidence record anthropic:37-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record google:2.1.1
- AI research evidence record kimi:s1
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.4
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.3
Other Sources
- Rankability - AICiteKit: https://www.aicitekit.com/tools/rankability/
Additional AI research evidence100 records
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-1
- AI research evidence record kimi:s1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record google:2.1.1
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:1-29
- AI research evidence record anthropic:1-30
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-27
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record kimi:s1
- AI research evidence record anthropic:1-29
- AI research evidence record anthropic:12-5
- AI research evidence record google:1.3.1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-4
- AI research evidence record kimi:s6
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:2-3
- AI research evidence record google:1.1.1
- AI research evidence record google:1.1.3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:10-4
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:15-1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:1-1
- AI research evidence record google:2.1.1
- AI research evidence record kimi:s1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:13-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-4
- AI research evidence record grok:14
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:12-5
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:18-8
- AI research evidence record anthropic:37-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record google:2.1.1
- AI research evidence record kimi:s1
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.4
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-27
- AI research evidence record anthropic:1-28
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record kimi:s1
- AI research evidence record google:1.1.3
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
- 32
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #9
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
17 independent · 14 company-owned · 1 unclear
Evidence support
21 direct · 11 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 c0d9b560ea46fe04a9f9182975091986f6f8585ede43b6c9dcb9d13908af32b3