Answer Capsule
SE Ranking is a good fit for multi-platform AI visibility monitoring when a buyer also wants conventional SEO, competitor research, and agency reporting in the same account. Two of the seven platforms in this study named SE Ranking during the ranking stage, at an average listed rank of 6.5 and a best rank of 4. The strongest reason to consider it is combined coverage of five AI engines — ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode — with mentions, citations, competitors, sentiment, and prompt-level tracking. The main limitation is check-based consumption: one prompt tracked on one engine consumes one check, so five-platform monitoring drains capacity quickly, and the AI Search add-on requires a separate SE Ranking subscription.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 6.5 |
| Best listed rank | 4 |
| Relevant product/model/plan | SE Ranking platform with AI visibility features and the AI Search add-on, including AI Results Tracker and SE Visible |
| Overall use-case fit | Good (five platforms rated good; two rated mixed) |
| Research date | 2026-09-19 |
Why SE Ranking Qualified for This Study
Questions This Section Answers
- Is SE Ranking a good choice for Multi-Platform AI Visibility Monitoring Tools?
- Why did only two of seven AI platforms name SE Ranking in the ranking stage?
SE Ranking qualified because it meets the study's core criterion: one platform capable of tracking brand visibility across multiple leading AI platforms, including recommendations, mentions, citations, competitor performance, prompt-level results, and historical trends. All seven included platforms evaluated SE Ranking's fit, but only two — anthropic and perplexity — named it during ranking discovery, which is why its platform share is 28.6% [1].
The qualification rests on documented capability rather than ranking prominence. SE Ranking's AI Results Tracker and SE Visible support five named AI engines: ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode [3]. The tools expose brand mentions, links or citations, rankings or position, competitors, cited sources, sentiment, and visibility trends, and SE Visible adds share of voice and competitor comparisons [4].
Independent coverage supports the qualification. One independent review describes SE Ranking as an established platform with integrated AI search tracking [1], and another describes the AI Results Tracker as providing comprehensive monitoring of brand mentions, linked citations, and positioning within AI-generated answers [6]. A third independent review frames SE Ranking as "the SEO suite" with SE Visible as "the dedicated AI visibility platform" [7].
Buyers comparing this option against the wider field can review the full Multi-Platform AI Visibility Monitoring Tools consensus index before deciding.
The Product, Model, Plan, or Service Most Relevant to Multi-Platform AI Visibility Monitoring Tools
Questions This Section Answers
- Which SE Ranking product should a buyer choose for multi-platform AI visibility monitoring: AI Results Tracker or SE Visible?
- Does SE Ranking's AI visibility monitoring require a separate subscription from the SEO platform?
The relevant offering is the SE Ranking platform with AI visibility features plus the AI Search add-on, which includes AI Results Tracker and SE Visible integration [9]. Buyers must choose between two distinct tools, and the platforms did not agree on how cleanly they separate.
AI Results Tracker lives inside the traditional rank-tracking interface and focuses heavily on Google AI Overviews and Google AI Mode, with select integrations for major conversational engines [11]. SE Visible is described as a dedicated, standalone AI visibility application that processes prompts across multiple engines daily, offering sentiment analysis, brand perception scoring, and source domain maps [13]. One independent review notes that SE Visible launched with ChatGPT and Google AI Mode, with Perplexity, Gemini, and Claude on the roadmap [14], while current platform documentation shows both tools supporting the same engine set [15].
The AI Search add-on is not a standalone low-cost product; the underlying SE Ranking subscription is additional [9]. SE Visible is described in reviewed sources as both available standalone and included with the AI Search add-on, but no standalone SE Visible price was verified in the reviewed sources [15]. One independent review states that users must choose between the AI Results Tracker as an integrated add-on and SE Visible as a dedicated standalone application [10].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree SE Ranking does well for multi-platform AI visibility monitoring?
- How many AI engines does SE Ranking track for brand mentions and citations?
The strongest agreement concerns engine coverage and metric breadth. Multiple platforms independently reported that SE Ranking tracks five AI engines — ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode — with prompt-level results, mentions, citations, competitor comparisons, and historical trends [17].
Platforms also agreed on the metric set. SE Ranking tracks brand mentions, linked citations, unlinked mentions, competitive benchmarking, sentiment analysis, and historical trends via cached SERP copies; AI Results Tracker shows presence, ranking position, and visibility changes over time, while SE Visible adds sentiment scoring, brand perception metrics, and source domain mapping [22].
A third area of agreement is data-collection method. SE Ranking uses UI-based monitoring — sending queries to AI platforms and capturing responses as a real user would see them — rather than API sampling [27]. One platform reported that data is collected from real browser sessions and kept unedited [29].
Platforms further agreed that AI visibility sits beside a mature SEO suite covering rank tracking, site audits, backlink analysis, and keyword research, which lets teams correlate AI presence with organic performance [30]. API and MCP support is included on all plans, allowing AI visibility data to be pulled into third-party dashboards or queried inside AI assistants [33].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about SE Ranking's refresh frequency and prompt limits?
- Is SE Ranking's AI visibility pricing consistent across sources?
Refresh frequency produced the sharpest conflict. Company sources state that results refresh daily across all tracked prompts and AI platforms [35]. One independent review stated that SE Visible refreshes weekly and described weekly-style reporting cadence as slow for real-time monitoring [37]. The later daily-refresh claims suggest a product update, but the conflict is unresolved in the reviewed sources.
Pricing consistency varied by platform. One platform rated pricing confidence high and published a full tier list [39], while another rated confidence low and reported that public pricing is inconsistent across sources, with different monthly and annual equivalents for the AI Search add-on and the sister SE Visible product [41]. A third platform rated confidence moderate and noted that the total cost depends on the underlying Core, Growth, or Enterprise subscription and selected limits [42].
Engine-list conflicts appeared in the reviewed materials. The AI Search add-on knowledge-base page lists five supported engines, while the subscription page's abbreviated feature text displays four; the more detailed knowledge-base and API documentation identify five engines, including Gemini [42]. One platform reported that public sources conflict on whether Gemini and Perplexity are live, limited, or coming soon [45].
Several items remain uncertain across platforms: whether SE Visible standalone pricing exists publicly [47]; historical retention depth by metric [49]; maximum project or prompt limits for every plan [42]; and enterprise SLA availability [51]. One platform also noted that SE Ranking's own research claims AI Overviews appear for 64% of keywords, which is a company claim rather than independently verified industry consensus [52].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does SE Ranking track competitor visibility and cited sources across AI platforms?
- Can SE Ranking's AI visibility data be exported through an API for custom reporting?
SE Ranking covers the core multi-platform monitoring requirements, with capability depth varying by metric. Platform coverage spans five named engines [53]. Prompt-level monitoring exposes brand mentions, links or citations, rankings or position, competitors, cited sources, sentiment, and visibility trends, though public materials do not fully specify retention duration or refresh frequency for every metric [54].
Competitive and source analysis is a documented strength. AI Results Tracker provides rankings, competitors, and sources views, while SE Visible identifies competitor mentions and shows comparative visibility, share of voice, position, sentiment, prompts, and cited sources [54]. One platform reported that users can compare share of voice, brand mentions, and link presence against up to five competitors, identifying citation gaps and showing which source domains LLMs trust most [56].
Geographic support is documented but narrower than the SEO suite. SE Visible states that tracking is available in 42 countries, with country, city or region targeting and project-level prompt language selection [54]. One platform reported AI visibility tracking in the US, UK, Canada, France, Germany, the Netherlands, and Spain, in English, French, German, Dutch, or Spanish [58]. United States coverage is indicated, but buyers should verify the exact U.S. location and language configurations needed.
Integration and reporting capabilities include API documentation for configuring brands, engines, prompts, statistics, and rankings [59]. One platform reported that the AI Results Tracker API supports brand, engine, prompt, statistics, and rankings resources across five AI engines [59], and that data can be pulled into third-party tools via API or queried live inside AI assistants via MCP [60]. An Insights & recommendations section in the Rankings tab provides actionable recommendations based on AI visibility data [61].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does SE Ranking's AI Search add-on cost per month, and what does each check tier include?
- Are there setup, overage, or cancellation fees on SE Ranking's AI visibility plans?
The AI Search add-on is publicly listed at $89 per month for 200 checks, $179 per month for 450 checks, and $345 per month for 1,000 checks, or $71.20, $143.20, and $276 per month respectively with annual billing [62]. The add-on requires an applicable SE Ranking subscription, and the broader platform is separately priced [62].
Base subscription pricing varies by source. The public pricing page shows Core from $103.20 per month and Growth from $223.20 per month, with displayed prices subject to plan and billing configuration [65]. One independent review reported Core at $129 per month and Growth at $279 per month, with annual billing saving 20% and bringing those to roughly $103 and $223 per month [66]. Another independent review reported a realistic small-agency setup of Core annual plus Agency Pack landing at $172.20 per month [68].
Additional fees documented across platforms include the Agency Pack white-label add-on at $69 per month on annual billing [69], extra manager seats starting at $16 per month [69], and API access starting at $45 per month on annual billing [69]. Packages above 1,000 checks require a volume-based discussion with sales [62].
Contract terms are mixed. The AI Search add-on follows the billing cycle and renewal terms of the associated SE Ranking subscription [62]. One platform reported that all plans can be cancelled anytime with no lock-in except annual plans, that annual plans require upfront payment for the full year, and that payments are non-refundable except where the service was not delivered as promised [70]. Terms permit SE Visible to be suspended, restricted, or discontinued if underlying aggregator or third-party AI services change or become unavailable [72].
Best Suited For
Questions This Section Answers
- Who gets the most value from SE Ranking for multi-platform AI visibility monitoring?
- Is SE Ranking a good fit for agencies managing multiple client brands?
SE Ranking is best suited to companies combining SEO and generative-answer visibility monitoring in one account [73]. Buyers who already standardize on SE Ranking for SEO, reporting, and agency workflows gain the most, because the AI Search add-on operates inside the existing account and connects AI visibility monitoring with SEO research, content, backlink, and reporting workflows [75].
Agencies and multi-brand teams needing competitor, prompt, source, mention, citation, sentiment, and visibility analysis are a documented fit [73]. One independent review describes SE Visible as the value-priced, suite-bundled option that suits SMBs and agencies with mainstream needs [78]. Another notes that SE Ranking's best AI visibility features are valuable because they sit beside a mature SEO suite [79].
Buyers who value tracking across ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode in one account are also well matched [75]. One platform summarized the fit as SEO teams and marketing agencies wanting to track brand visibility across the top five AI platforms while keeping traditional SEO and keyword tracking workflows unified [80].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose SE Ranking for multi-platform AI visibility monitoring?
- Is SE Ranking suitable for buyers needing unlimited or highly predictable prompt volumes?
SE Ranking is probably not best for buyers requiring unlimited or highly predictable prompt volumes without usage-based check limits [81]. One platform reported that Growth plan caps at 250 AI prompts daily, and that enterprises managing 20 or more competitor domains or multiple topic clusters hit this quickly [82]. Another noted that prompt caps in the AI Results Tracker compound [83].
Organizations requiring guaranteed data completeness, continuity, or accuracy from AI-answer monitoring are also a poor match. SE Ranking's terms state that SE Visible outputs may be incomplete, outdated, inaccurate, or unavailable and do not guarantee correctness, recency, completeness, continuity, or availability [84]. The service also depends on third-party AI services and an external aggregator [84].
Agencies requiring white-label functionality inside SE Visible specifically should look elsewhere: SE Visible does not currently support white labeling, and SE Ranking's Agency Pack white-label capabilities do not apply to SE Visible [85]. Buyers whose sole need is deep, AI-only prompt monitoring with the widest LLM coverage and verified historical archives are also flagged as a poor fit [86].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to SE Ranking for a buyer who needs more than five AI engines?
- When should a buyer choose a dedicated AI visibility vendor instead of SE Ranking?
Another option may be better when AI visibility is the primary focus and traditional SEO is secondary. One platform recommended dedicated platforms such as Rankscale AI, AthenaHQ, or Scrunch AI for purpose-built tools without SEO suite overhead [87]. Another recommended choosing a specialized AI visibility vendor when the primary requirement is high-volume prompt monitoring, more granular answer-level auditing, or enterprise-grade AI-search reporting rather than an integrated SEO suite [88].
Engine breadth is a documented trigger. One platform reported that SE Ranking does not track Claude, Microsoft Copilot, Grok, or other platforms beyond the five listed, and recommended alternatives when coverage of additional AI platforms like Claude or Copilot is required [89]. Another reported that SE Visible supports five engines while competitors such as GrackerAI and WriteWorks cover ten or more [92].
Enterprise governance needs are another trigger. One platform recommended choosing a platform with explicit enterprise SLAs and contractual data-retention guarantees when continuity, reproducibility, and governance matter more than bundled SEO functionality [88]. Another recommended alternatives when the buyer needs enterprise-grade, independently audited methodology [95]. Cost transparency is a further trigger: one platform noted that dedicated platforms publish single all-in pricing while SE Ranking's configuration model obscures true spend [87].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with SE Ranking before signing a contract?
- Which limits and refresh details should be verified before purchasing the AI Search add-on?
Buyers should confirm the exact AI Results Tracker limits included in the chosen Core, Growth, or Enterprise plan before buying the add-on, and how many prompts, projects, brands, users, and historical months are included and how limits are pooled across projects [96]. Refresh frequency for each supported AI engine and geographic configuration should be confirmed in writing, given the daily-versus-weekly conflict in reviewed sources [97].
Engine availability should be verified for the exact plan being quoted, including whether AI Overview and AI Mode results are available for the required U.S. locations and query types [96]. Buyers should also confirm whether the intended purchase requires both an SE Ranking SEO subscription and SE Visible, or whether SE Visible can operate standalone [100].
Export and continuity questions matter. Buyers should confirm whether raw answers, citations, source URLs, competitor data, and historical time series can be exported through the UI or API, and what happens to data and access if an underlying AI provider or aggregator changes availability [96]. Volume packages, overages, or automatic upgrades above 1,000 checks, and their exact prices, should be confirmed, along with cancellation, renewal, refund, and data-retention terms for the specific billing arrangement [96].
Final AI Consensus Verdict
SE Ranking earns a good fit rating for multi-platform AI visibility monitoring, with two of seven platforms naming it in the ranking stage at an average listed rank of 6.5 and a best rank of 4. Five platforms rated the fit good and two rated it mixed. The consensus is that SE Ranking covers the core multi-platform monitoring requirements and is particularly attractive when AI visibility must be connected to SEO and agency workflows [103].
The consensus is equally clear that SE Ranking should be treated as a good integrated-suite option rather than an unquestionably best-in-class specialist. Buyers should validate check economics, refresh and retention details, U.S. localization, export and API depth, white labeling, and the contractual limitations on data reliability before committing [105]. Platform agreement on these capabilities does not prove product quality; it reflects what the reviewed sources reported.
How This Review Was Produced
This review evaluated SE Ranking only for the Multi-Platform AI Visibility Monitoring Tools use case. Seven AI platforms were asked which multi-platform AI visibility monitoring tools they would recommend and why. All seven evaluated SE Ranking's fit, but only two named it during the ranking stage, which is why the platform mention count is two rather than seven. Fit ratings came from each platform's own assessment: five rated the fit good and two rated it mixed.
The report preserves conflicts rather than resolving them. Where platforms disagreed on refresh frequency, pricing, engine lists, or product architecture, both positions are stated with their citation IDs. Company-owned citations materially outnumber independent citations in the reviewed materials, so company claims are labeled as such and are not described as independently verified.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-19. One platform's research is dated 2026-02-14, roughly seven months earlier, and its findings may not reflect the product as of the study date [108]. Platform-reported dates are provenance metadata and do not independently prove freshness.
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. One platform ran without search enabled, so its claims require explicit verification before being described as current facts [108].
Company-owned sources materially outnumber independent sources in the reviewed materials. Several factual conflicts remain unresolved: daily versus weekly refresh for SE Visible [110]; whether the AI Search add-on covers four or five engines [112]; whether SE Visible standalone pricing exists publicly [114]; and historical retention depth by metric [116]. Missing research was not interpreted as disagreement. No independent benchmark of SE Ranking's AI-visibility accuracy was found in the reviewed materials [109].
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- GrackerAI AI Visibility: https://gracker.ai/ai-visibility
- AI Visibility Monitoring - GrackerAI Platform: https://gracker.ai/platform/ai-visibility/monitoring
- AI Search Add-on - Knowledge Base - SE Ranking: https://help.seranking.com/
- What is the AI Results Tracker?: https://help.seranking.com/hc/en-us/articles/16335384225948-What-is-the-AI-Results-Tracker
- How to use AI Results Tracker: Rankings – Knowledge Base: https://help.seranking.com/hc/en-us/articles/16335399186460-How-to-use-AI-Results-Tracker-Rankings
- AI Search Add-on – Knowledge Base: https://help.seranking.com/hc/en-us/articles/22120452776476-AI-Search-Add-on
- Multi-Engine LLM Monitoring | Track Every AI Engine | LLM Metrix: https://llmmetrix.com/features/multi-engine-monitoring
- Cross-Platform AI Brand Mention Monitoring | Presenc AI: https://presenc.ai/use-cases/cross-platform-ai-brand-mention-monitoring
- SE Ranking — AI SEO Software That Gets Results: https://seranking.com/
- SE Ranking — AI visibility / AI Results Tracker product page: https://seranking.com/ai-results-tracker.html
- AI Search Visibility Tool: Optimize for AI Search: https://seranking.com/ai-visibility-tracker.html
- AI Results Tracker - SE Ranking API Documentation: https://seranking.com/api/project/ai-result-tracker/
- Features, Data & Pricing Answered - SE Ranking FAQ: https://seranking.com/faq.html
- SE Ranking: Terms of Service: https://seranking.com/legal/terms-of-service.html
- Subscription - SE Ranking: https://seranking.com/subscription.html
- Visibility Tracker — See Every AI Answer | Viali: https://viali.ai/product/visibility-tracking/
- SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
- SE Visible 2026 Plans: New Features & Updates: https://visible.seranking.com/blog/sevisible-plans-for-2026/
- AI Brand Visibility Tool - See What AI Says About You: https://www.mentionlytics.com/product/ai-visibility/
- AI Visibility Tool & Platform: Track AI Search Visibility Across 10+ AI platforms: https://www.writeworks.ai/platform/features/ai-search-visibility
- Official pricing and terms source: https://seranking.com/api-pricing.html
Additional AI research evidence116 records
- AI research evidence record anthropic:2-9
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:2-11
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:35-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-4
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:35-19
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record google:source_tracker_kb
- AI research evidence record anthropic:2-11
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-5
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:35-7
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record google:source_visible_dashboard
- AI research evidence record anthropic:9-1
- AI research evidence record anthropic:28-4
- AI research evidence record anthropic:28-13
- AI research evidence record anthropic:18-7
- AI research evidence record anthropic:20-8
- AI research evidence record anthropic:7-5
- AI research evidence record anthropic:25-3
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:35-20
- AI research evidence record grok:0
- AI research evidence record grok:11
- AI research evidence record perplexity:c8
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c2
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-23
- AI research evidence record deepseek:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:18-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record google:source_tracker_kb
- AI research evidence record google:source_visible_landing
- AI research evidence record anthropic:7-17
- AI research evidence record openai:c6
- AI research evidence record anthropic:20-8
- AI research evidence record anthropic:21-13
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:source_ai_add_on
- AI research evidence record openai:c4
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:13-6
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:10-5
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record anthropic:28-13
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:29-2
- AI research evidence record anthropic:28-4
- AI research evidence record google:source_tracker_kb
- AI research evidence record openai:c1
- AI research evidence record anthropic:18-13
- AI research evidence record anthropic:35-23
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-9
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record grok:11
- AI research evidence record kimi:se-visible
- AI research evidence record kimi:grackerai-features
- AI research evidence record kimi:writeworks-features
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:7-5
- AI research evidence record anthropic:26-2
- AI research evidence record perplexity:c2
- AI research evidence record kimi:se-visible
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:10-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:28-13
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-23
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:7-5
- AI research evidence record anthropic:26-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-23
Independent Sources
- SE Ranking AI Visibility Tracker: Powerful Agency Guide: https://bullseyeinternet.com/put-the-se-ranking-ai-visibility-tracker-to-work-for-your-agency/
- SE Ranking Pricing 2026: Total Cost & Competitors - SE Ranking: https://checkthat.ai/brands/se-ranking/pricing
- SE Ranking Pricing 2026: Every Plan, Add-On & Hidden Cost Explained | CrawlRaven: https://crawlraven.com/blog/se-ranking-pricing
- Best AI Rank Trackers and AI Search Visibility Tools 2026 - Daily Emerald: https://dailyemerald.com/185228/promotedposts/best-ai-rank-trackers-and-ai-search-visibility-tools-2026/
- SE Ranking AI Visibility Tracker Review (2026): Two Products, Five Engines, and Who It Fits: https://linkeddit.com/blog/se-ranking-ai-visibility-tracker-review
- SE Ranking Review (2026): Pricing, Features & Alternatives: https://maxaeo.ai/ai-tools/tool/se-ranking/
- SE Ranking Review 2026: We Tested the Full SEO Suite: https://organikpi.com/blog/reviews/se-ranking-review/
- 25 Best AI Search Tracking and Visibility Tools for 2026 - Radarkit: https://radarkit.ai/blog/best-ai-search-rank-tracking-and-visibility-tools/
- SE Ranking Pricing (2026: https://realcostlabs.com/se-ranking-pricing/
- SE Ranking Pricing 2026: How Much SE Ranking ... - Rank Tracker: https://serpstracker.com/se-ranking-pricing
- SE Ranking (AI Visibility module) review — pricing, features, alternatives: https://theanswerenginereport.com/tools/se-ranking
- SE Ranking Review 2026: Pricing & AI Visibility | ToolChase: https://toolchase.com/tool/seranking/
- SE Ranking Review: SEO Suite First, AI Search Second: https://trakkr.ai/reviews/seranking-review
- SE Ranking AI Search Features: Tracker, SE Visible & SEO Suite | Trakkr: https://trakkr.ai/reviews/seranking-review/features
- SE Ranking reviews on G2: https://www.g2.com/products/se-ranking/reviews
- SE Ranking's AI visibility tracker review for agencies (2026): is it worth it for client AI visibility? | Rankability Blog: https://www.rankability.com/blog/se-rankings-ai-visibility-tracker-review/
- SE Ranking review | TechRadar: https://www.techradar.com/pro/software-services/se-ranking
- SE Ranking AI Visibility Tracker Review 2026 - Analyze AI: https://www.tryanalyze.ai/blog/se-rankings-ai-visibility-tracker-review
Additional AI research evidence116 records
- AI research evidence record anthropic:2-9
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:2-11
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:35-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-4
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:35-19
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record google:source_tracker_kb
- AI research evidence record anthropic:2-11
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-5
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:35-7
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record google:source_visible_dashboard
- AI research evidence record anthropic:9-1
- AI research evidence record anthropic:28-4
- AI research evidence record anthropic:28-13
- AI research evidence record anthropic:18-7
- AI research evidence record anthropic:20-8
- AI research evidence record anthropic:7-5
- AI research evidence record anthropic:25-3
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:35-20
- AI research evidence record grok:0
- AI research evidence record grok:11
- AI research evidence record perplexity:c8
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c2
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-23
- AI research evidence record deepseek:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:18-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record google:source_tracker_kb
- AI research evidence record google:source_visible_landing
- AI research evidence record anthropic:7-17
- AI research evidence record openai:c6
- AI research evidence record anthropic:20-8
- AI research evidence record anthropic:21-13
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:source_ai_add_on
- AI research evidence record openai:c4
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:13-6
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:10-5
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record anthropic:28-13
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:29-2
- AI research evidence record anthropic:28-4
- AI research evidence record google:source_tracker_kb
- AI research evidence record openai:c1
- AI research evidence record anthropic:18-13
- AI research evidence record anthropic:35-23
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-9
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record grok:11
- AI research evidence record kimi:se-visible
- AI research evidence record kimi:grackerai-features
- AI research evidence record kimi:writeworks-features
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:7-5
- AI research evidence record anthropic:26-2
- AI research evidence record perplexity:c2
- AI research evidence record kimi:se-visible
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:10-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:28-13
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-23
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:7-5
- AI research evidence record anthropic:26-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-23
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
- 40
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #8
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
18 independent · 22 company-owned
Evidence support
34 direct · 6 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 7cd55f7f4e785a63d45c07be659bbe0c0543338137255b268c04afb2a384bf5f