Answer Capsule
PromptRush is a good fit for companies that need recurring Perplexity visibility monitoring, citation and source analysis, competitor benchmarking, and historical trend tracking at a low entry price. Three of seven platforms named PromptRush during the ranking stage — a 42.9% share of included platform responses — at an average listed rank of 9.3 and a best listed rank of 8. The strongest reason to consider it is that its Perplexity tracker, citation/source intelligence, and competitor benchmarking are bundled into the $19/month Lite plan with daily scans. The main limitation is that nearly all evidence is company-reported: no independent source located in this study confirmed pricing, citation completeness, measurement methodology, or customer outcomes.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms |
| Share of included platform responses | 42.9% |
| Average listed rank | 9.3 |
| Best listed rank | 8 |
| Relevant product/model/plan | PromptRush Perplexity Visibility Tracker; Lite plan; Standard / Self-Serve Plan |
| Overall use-case fit | Good (platform-reported, pending verification) |
| Research date | 2026-09-19 |
Platforms naming PromptRush during ranking discovery: anthropic (rank 10), google (rank 8), perplexity (rank 10). The remaining four platforms (openai, deepseek, grok, kimi) evaluated fit but did not name PromptRush in the ranking stage.
Why PromptRush Qualified for This Study
Questions This Section Answers
- Is PromptRush a good choice for Perplexity Visibility Tracking Tools?
- How many AI platforms named PromptRush when ranking Perplexity visibility tracking tools?
PromptRush qualified because it is a purpose-built AI visibility platform that explicitly lists Perplexity among the engines it monitors, and because it bundles the four criteria this study screened for: citation tracking, source analysis, competitor benchmarking, and historical monitoring [1]. Independent review coverage describes it as designed around brand mention tracking within AI responses rather than traditional keyword rankings [4].
Three of seven included platforms named PromptRush during ranking discovery, at ranks 10, 8, and 10. That is a minority share, and the average listed rank of 9.3 places it near the bottom of the lists on which it appeared. Qualification here means the entity met the study's inclusion threshold of at least two platform mentions — not that platforms agreed it was a top pick.
One platform, kimi, reported that PromptRush did not appear in an independent 2026 comparison of ten Perplexity rank tracking tools [6]. That is a material negative signal about independent visibility and is carried forward in the disagreement section below.
The Product, Model, Plan, or Service Most Relevant to Perplexity Visibility Tracking Tools
Questions This Section Answers
- Which PromptRush plan is the best fit for a company that only needs Perplexity visibility tracking?
- Does PromptRush sell a Perplexity-only plan, or is Perplexity bundled with other AI models?
The relevant product is the PromptRush Perplexity Visibility Tracker, and the relevant entry plan is Lite at $19/month [7]. PromptRush does not publicly sell a Perplexity-only plan. Perplexity is bundled with other engines: all plans include daily scans across ChatGPT, Gemini, Perplexity AI, Google AI Overviews, and Google AI Mode, with Claude offered as a paid add-on [10].
The tracker is described as monitoring brand mentions, visibility, cited domains and URLs, competitor visibility, and changes over time [7]. PromptRush states that Perplexity answers are grounded in named sources, which makes brand visibility measurable and attributable, and that the product shows the exact URLs Perplexity pulled from when recommending brands [12].
Plan naming is inconsistent across sources. Several platforms reference a "Standard / Self-Serve Plan," but that exact name does not appear on the reviewed pricing page, which displays Lite, Growth, Scale, and Enterprise tiers [8]. Buyers should treat "Standard / Self-Serve" as an unconfirmed label and confirm the actual tier name at checkout.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree PromptRush does well for Perplexity citation tracking?
- Is PromptRush's competitor benchmarking included on the cheapest plan?
Agreement was strong on capability claims and unanimous on the direction of the fit rating, but the underlying evidence is largely PromptRush's own material.
On citation tracking and source analysis, platforms converged: PromptRush states its tracker records cited domains and URLs associated with brand mentions and aggregates the sources influencing answers [15]. Independent review coverage describes the platform as identifying which sources influence Perplexity's responses and contribute to a brand being mentioned [17]. Google's response characterized the tracker as monitoring the exact URLs and domains Perplexity cites in response to target prompts [18].
On competitor benchmarking, multiple platforms reported that competitor and source tracking is included at every price point, including Lite [20]. One platform flagged that the exact scope of competitor benchmarking on Lite versus higher tiers is unclear [22].
On historical monitoring, platforms agreed that daily scans and visibility trends exist. PromptRush describes daily scans, visibility trends, prompt-level changes, and historical growth or decline monitoring [23]. No platform located a published maximum retention period.
On pricing, four platforms independently reported the same three published tiers — $19, $99, and $279 per month — and a 15% annual discount [26]. G2's listing records the same figures [30].
Fit ratings were not unanimous: anthropic and grok rated PromptRush a strong fit, openai, deepseek, google, and perplexity rated it good, and kimi rated it uncertain. Agreement among platforms does not establish product quality; it establishes that the same company-published claims circulated widely.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did one AI platform rate PromptRush uncertain for Perplexity visibility tracking?
- Is PromptRush's Perplexity citation accuracy independently verified?
The sharpest disagreement is about verifiability. Kimi reported that no independent source in its research corpus verified PromptRush's existence, features, pricing, or tracking accuracy, that PromptRush was absent from an independent 2026 comparison of ten Perplexity tracking tools, and that PromptRush's own website was not surfaced in its search results [31]. Kimi rated the fit uncertain and recommended buyers prefer independently reviewed alternatives unless PromptRush validates claims transparently.
Other platforms reached the opposite conclusion on the same evidence base. Anthropic and grok rated the fit strong, citing purpose-built Perplexity positioning and daily scans from the Lite plan onward [32]. Openai, deepseek, google, and perplexity rated it good while explicitly noting that core claims are company-reported [34].
Refresh cadence is internally inconsistent. PromptRush pages describe daily scans, weekly refresh cycles, and daily or weekly trend reporting in different places [38]. The exact operational cadence for every feature is unclear.
Export and integration capability is disputed. Google's response reported that standard plans omit API, CSV, and webhook exports, and that Claude, Copilot, Grok, DeepSeek, and sentiment analysis are absent from standard plans [41]. Other platforms did not surface this limitation, and no platform confirmed export availability on any self-serve tier.
Historical retention is unresolved across every platform. Perplexity's response stated that publicly verified information does not specify how much historical data is retained [42]. Deepseek reported the retention window is unspecified [35].
Independent evidence is thin. One platform cited a G2 review describing the process as clear and actionable for tracking mentions, citations, competitors, and optimization needs [43]. Another noted that PromptRush's own blog ranks itself first in Perplexity tracker comparisons, introducing potential publication bias [44].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does PromptRush track Perplexity citations at the URL level or only at the domain level?
- How many prompts can a buyer track on the PromptRush Lite plan for Perplexity monitoring?
Citation tracking: PromptRush states the tracker records cited domains and URLs tied to brand mentions and aggregates sources influencing answers [45]. Whether every citation type, redirect, dynamic page, and citation ordering is captured consistently is not established by the public materials [45].
Source analysis: Product materials describe source and citation intelligence covering review sites, publications, forums, directories, domains, and individual URLs, including sources cited for competitors [45]. PromptRush states the platform identifies which websites influence AI answers about an industry and tracks authority shifts over time [48].
Competitor benchmarking: PromptRush states users can compare visibility scores, mention frequency, ranking position, and trends for competitors appearing in the same tracked Perplexity responses [45]. Google's response described share-of-voice analysis of which competitors are named and how often they win recommendations [51].
Historical monitoring: Daily scans, visibility trends, and prompt-level change tracking are described across product pages [47]. Maximum retention, timestamp granularity beyond daily refreshes, and whether raw historical responses remain permanently available are not stated [47].
Prompt coverage: Lite lists one project and 25 prompts; Growth lists two projects and 150 prompts; Scale lists five projects and 400 prompts [55]. Whether the 25 Lite prompts are shared across all five models or counted per model is not documented [55].
Geographic relevance: PromptRush presents a US analysis option and separately claims multi-country tracking, but the exact Perplexity localization, proxy, language, and regional sampling methodology is not documented [45].
Cross-platform scope: PromptRush is not Perplexity-only. Plans include daily scans across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, with Claude as an add-on [57]. One platform noted this may add dashboard complexity or cost for a Perplexity-focused buyer [47].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does PromptRush cost per month, and are there setup or cancellation fees?
- What are PromptRush's cancellation, renewal, and refund terms for a Perplexity tracking subscription?
Published self-serve pricing is $19/month for Lite (1 project, 25 prompts), $99/month for Growth (2 projects, 150 prompts), and $279/month for Scale (5 projects, 400 prompts), with Enterprise priced as custom [58]. All tiers include daily scans across five AI models, competitor tracking, and source tracking [58]. A 15% annual-payment discount is advertised [58].
Claude tracking is an optional paid add-on on any paid plan. One platform reported add-on pricing of $39/month, $69/month, or $129/month depending on daily Claude prompt capacity [58]; the official pricing page shows Claude Starter at $39/mo, Claude Standard at $69/mo, and Claude Plus at $129/mo (official:C2). Another platform reported the add-on price is not disclosed in its sources [64]. No separate Perplexity surcharge is publicly listed [58].
Contract terms are partially documented. The official pricing page states buyers can cancel anytime from account settings, keep access until the end of the current billing period, and that there are no long-term commitments; upgrades take effect immediately with prorated billing and downgrades apply at the next billing cycle [65]. The terms page states subscriptions automatically renew unless cancelled before the end of the current billing period, that fees are billed in advance via Stripe, that all payments are non-refundable except as expressly stated, and that PromptRush may change subscription fees with 30 days' advance notice (official:C3). The terms page also states a 99% uptime target excluding planned maintenance and force majeure, with basic email support (official:C3).
Refund terms conflict. A 30-day money-back guarantee is advertised on the pricing page and reported by multiple platforms [58], while the terms page states all payments are non-refundable except as expressly stated otherwise (official:C3). Buyers should get the guarantee terms in writing before purchase.
Enterprise pricing, managed GEO support, and customizable tracking systems are stated as custom with amounts unclear [58]. No setup fees were reported by any platform; deepseek and kimi reported pricing could not be verified at all from their sources [66].
Best Suited For
Questions This Section Answers
- Who gets the most value from PromptRush for Perplexity visibility tracking?
- Is PromptRush a good fit for a small marketing team tracking 25 Perplexity prompts?
PromptRush is best suited to US companies that want an affordable self-serve baseline for Perplexity visibility [68]. Marketing, SEO, PR, and growth teams tracking brand mentions, cited sources, competitors, and trends across defined prompts are the clearest fit [68].
It also suits buyers who want Perplexity monitoring combined with other AI platforms in one dashboard, since Perplexity is bundled with ChatGPT, Gemini, Google AI Overviews, and Google AI Mode on every plan [71]. Teams tracking 25 to 400 prompts seeking daily visibility updates fit the published tier structure [73]. Competitive intelligence teams comparing visibility share across similar brands are supported by the benchmarking features [68]. One platform described a team tracking 25 buying-intent prompts on Lite as able to see within a week which prompts cite them on Perplexity and which sites drive citations [75].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose PromptRush for Perplexity visibility tracking?
- Is PromptRush suitable for enterprise buyers who need audited accuracy and governance controls?
Organizations requiring independently audited accuracy, guaranteed citation completeness, or proven enterprise-scale data reliability are not well served by the evidence available [76]. No independent test, audit, methodology review, or public customer evidence verifying Perplexity citation accuracy was located in the reviewed sources [76].
Teams needing substantially more than 25 tracked prompts on Lite without moving to a higher tier will hit the plan ceiling [78]. Buyers seeking a Perplexity-only specialist with publicly documented API, export, governance, or advanced statistical controls should look elsewhere; one platform reported that standard plans omit API, CSV, and webhook exports [80].
Teams that need only weekly or quarterly Perplexity scans may find daily scans on all plans exceed their need and inflate cost-per-insight [82]. Buyers with strict procurement or legal review requirements who need published contract and data-processing terms up front should note that enterprise governance terms are not clearly documented in the reviewed sources [83].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to PromptRush for a buyer who needs independently verified Perplexity tracking accuracy?
- When is a custom Perplexity Sonar API pipeline a better choice than PromptRush?
Consider a higher PromptRush tier when the buyer needs more than 25 prompts, multiple projects, shareable reporting, or greater operational scale [84]. Consider another vendor when independently validated accuracy, public methodology documentation, robust API/export capabilities, or enterprise governance are mandatory [85].
Consider a broader AI-visibility platform when the buyer needs extensive model coverage, advanced workflow integrations, or deeper analytics beyond PromptRush's publicly documented scope [87]. Consider a narrower specialist or internal measurement workflow when the buyer only needs Perplexity and wants to avoid paying for bundled monitoring of other AI platforms [87].
Platforms named specific alternatives. Semrush AI Toolkit extends LLM citation monitoring alongside traditional SEO rank data and suits teams already using Semrush [89]. OtterlyAI provides weekly URL-level citation analysis starting at $29/month for cost-conscious teams that do not need daily scans [91]. Clearscope is described as purpose-built for connecting content optimization directly to AI citation measurement [92]. Birdeye is the highest-rated G2 alternative for review management and online reputation if monitoring extends beyond AI visibility [93]. Teams requiring API-first integrations or custom data pipelines may prefer building on the Perplexity Sonar API with custom Python pipelines [94].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with PromptRush before signing a contract for Perplexity tracking?
- Can PromptRush demonstrate Perplexity citation accuracy using the buyer's own prompts?
Ask whether the Perplexity tracker captures every cited URL, citation position, source title, and response snapshot for each run [96]. Ask how many Perplexity queries or repeated runs are included per tracked prompt and how response variability is handled [96]. Ask how long historical responses, citations, and trend data are retained [97].
Ask whether raw responses, citations, competitor data, and historical results can be exported through CSV, API, or another integration, since one platform reported standard plans omit these [99]. Ask whether the 25 Lite prompts are shared across all AI models or counted separately by model [101]. Ask whether prompts can be manually edited, localized to US English, scheduled at a chosen cadence, and segmented by product or market [101].
Ask what competitor benchmarking includes: user-defined competitors, automatically detected brands, ranking position, share of voice, and citation share [96]. Ask whether usage caps, overage fees, setup fees, onboarding charges, or enterprise minimum commitments exist [101]. Ask for written cancellation, renewal, refund, and annual-billing terms, given the conflict between the advertised 30-day money-back guarantee and the terms page's non-refundable language [101]. Ask whether PromptRush can provide an accuracy demonstration or sample export using the buyer's own Perplexity prompts [96].
Final AI Consensus Verdict
PromptRush is a good fit for a focused US Perplexity visibility-monitoring program, especially when the buyer values citation and source analysis, competitor benchmarking, and daily trend tracking at a low entry price [103]. Three of seven platforms named it during ranking discovery, at an average listed rank of 9.3 and a best rank of 8 — a minority position with below-median placement.
The consensus is conditional, not settled. Two platforms rated the fit strong, four rated it good, and one rated it uncertain because it could not verify PromptRush from independent sources [106]. Treat PromptRush as a platform-reported solution pending verification of methodology, retention, exports, prompt limits, and measurement accuracy [103]. It is not yet a clearly proven best choice for enterprise buyers requiring independent validation, extensive scale, or Perplexity-only specialization [103].
How This Review Was Produced
This review was produced from seven AI-platform fit-research responses collected for the study date 2026-09-19, covering the use case "Perplexity Visibility Tracking Tools" for US companies monitoring brand mentions, recommendations, and citations in Perplexity responses. Each platform evaluated PromptRush against four criteria: citation tracking, source analysis, competitor benchmarking, and historical monitoring.
Platform mentions in the ranking stage count only platforms that named PromptRush during ranking discovery. All seven platforms evaluated fit, but only three named the entity in ranking. Fit ratings were recorded per platform and are reported as supplied. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-19. Deepseek's response carries a research date of 2026-06-13, roughly three months earlier, and deepseek reported search was not enabled, so its claims rest on model knowledge rather than retrieved evidence [108]. Platform-reported dates are provenance metadata and do not independently prove freshness.
Conflicting product names, pricing, and capabilities were not resolved by guessing. The "Standard / Self-Serve Plan" referenced by several platforms is not clearly identified by that exact name on the reviewed pricing page, which displays Lite, Growth, Scale, and Enterprise [109]. Refresh cadence is described inconsistently across PromptRush pages as daily, weekly, or both [109]. Refund terms conflict between the advertised 30-day money-back guarantee and the terms page's non-refundable language [109].
No independent source located in this study confirmed PromptRush's pricing, performance, citation completeness, or customer outcomes [111]. One platform reported that PromptRush's own blog ranks itself first in Perplexity tracker comparisons, introducing potential publication bias [113]. Citation detection accuracy for Perplexity specifically is not independently validated, and general industry data shows accuracy varies by AI engine [114]. Missing research was not interpreted as disagreement.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Perplexity Visibility Tracker: Track Rankings & Citations — CrowdReply: https://crowdreply.io/features/perplexity-visibility-tracker
- How to Track AI Search Engine Citations & Sources: The Complete Guide for 2026: https://otterly.ai/blog/how-to-track-ai-search-engine-citations-sources/
- Perplexity Visibility Tracker: Free Brand Audit | SolCrys: https://solcrys.com/perplexity-visibility-tracker/
- AI Citation Tracking Tools for Brands: The Complete Guide to Measuring Your Visibility in AI Search: https://www.clearscope.io/blog/ai-citation-tracking-tools-for-brands
- Perplexity Visibility Tracker: Monitor Brand Mentions & Citations | GEOflux: https://www.geoflux.ai/perplexity-visibility-tracker
- Promptrush: https://www.promptrush.ai/
- 7 Best Perplexity Rank Trackers for 2026 (Tested & Priced: https://www.promptrush.ai/blog/best-perplexity-rank-tracker/
- How to Rank on Perplexity: A Practitioner's Guide: https://www.promptrush.ai/blog/how-to-rank-on-perplexity/
- How It Works | Inside PromptRush's AI Visibility Tracker: https://www.promptrush.ai/how-it-works/
- LLM SEO Tool | PromptRush: https://www.promptrush.ai/llm-seo-tool/
- Perplexity Visibility Tracker — Track Brand Citations in AI: https://www.promptrush.ai/perplexity-visibility-tracker/
- Pricing Plans | PromptRush: https://www.promptrush.ai/pricing/
- Perplexity Visibility Tracker: Monitor Your Citations & Rankings | RankZero: https://www.rankzero.io/trackers/perplexity
- Official pricing and terms source: https://www.promptrush.ai/terms-and-conditions/
Additional AI research evidence114 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-5
- AI research evidence record grok:0
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-5
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record grok:11
- AI research evidence record anthropic:7-4
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-7
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-5
- AI research evidence record anthropic:10-13
- AI research evidence record google:1.3.1
- AI research evidence record google:1.4.5
- AI research evidence record anthropic:3-2
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:24-3
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record google:1.2.9
- AI research evidence record kimi:searchable-comparison
- AI research evidence record anthropic:10-1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.4
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:24-3
- AI research evidence record google:1.2.8
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:38-1
- AI research evidence record anthropic:29-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-5
- AI research evidence record openai:c3
- AI research evidence record anthropic:24-1
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:3-2
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:24-7
- AI research evidence record perplexity:c6
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record google:1.2.9
- AI research evidence record anthropic:7-4
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:34-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record google:1.2.8
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:28-7
- AI research evidence record anthropic:21-15
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:9-4
- AI research evidence record anthropic:9-9
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record deepseek:c1
- AI research evidence record google:1.2.8
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record grok:0
- AI research evidence record kimi:searchable-comparison
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record anthropic:29-6
- AI research evidence record anthropic:26-5
Independent Sources
- How to automate reports brand visibility trends perplexity: https://aivisbilityplan.com/perplexity-visibility/automate-reports-brand-visibility-trends-perplexity
- PromptRush: local tracking, AI Overviews and Gemini - Cited·Index: https://citedindex.com/tools/promptrush
- Otterly.ai vs PromptRush — AI Visibility Tool Comparison: https://otterly.ai/blog/otterly-vs-promptrush
- 12 Powerful Perplexity Rank Tracking Tools For 2026: https://seosandwitch.com/perplexity-rank-tracking-software/
- Top 10 ChatGPT visibility tracker tools to monitor your brand in AI search: https://usa.inquirer.net/185495/chatgpt-visibility-tracker-tools
- Top 10 PromptRush Alternatives & Competitors in 2026 | G2: https://www.g2.com/products/promptrush/competitors/alternatives
- PromptRush Reviews 2026: Details, Pricing, & Features | G2: https://www.g2.com/products/promptrush/reviews
- Best Perplexity Rank Tracking Tools in 2026: Tested and Compared: https://www.searchable.com/blog/best-perplexity-tracking-tools
- AI Visibility Tool for Brand Monitoring — Sona: https://www.sona.com/blog/ai-visibility-tools-for-brand-monitoring/
- AI Citation Tracking Tools: Monitor Your Brand (2026: https://www.stackmatix.com/blog/ai-citation-tracking-tools
- 12 best AEO and GEO tools in 2026: https://www.thebusinessrover.com/es/blog/best-aeo-geo-tools
- Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
- The Best AI Visibility Tools to Track Your Brand in 2026: https://www.utilities-online.info/best-ai-visibility-tools-2026
- AI Visibility Tool Directory: https://www.visibilityatlas.app/tools
Additional AI research evidence114 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-5
- AI research evidence record grok:0
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-5
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record grok:11
- AI research evidence record anthropic:7-4
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-7
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-5
- AI research evidence record anthropic:10-13
- AI research evidence record google:1.3.1
- AI research evidence record google:1.4.5
- AI research evidence record anthropic:3-2
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:24-3
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record google:1.2.9
- AI research evidence record kimi:searchable-comparison
- AI research evidence record anthropic:10-1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.4
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:24-3
- AI research evidence record google:1.2.8
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:38-1
- AI research evidence record anthropic:29-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-5
- AI research evidence record openai:c3
- AI research evidence record anthropic:24-1
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:3-2
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:24-7
- AI research evidence record perplexity:c6
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record google:1.2.9
- AI research evidence record anthropic:7-4
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:34-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record google:1.2.8
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record openai:c3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:28-7
- AI research evidence record anthropic:21-15
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:9-4
- AI research evidence record anthropic:9-9
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record deepseek:c1
- AI research evidence record google:1.2.8
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record grok:0
- AI research evidence record kimi:searchable-comparison
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c1
- AI research evidence record kimi:searchable-comparison
- AI research evidence record anthropic:29-6
- AI research evidence record anthropic:26-5
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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
- 28
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #5
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
14 independent · 14 company-owned
Evidence support
20 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 8ba28b41bafd503655a3f46ea3aec3fcbd347655b706e24c0ed187aa144baeb8