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AI Consensus Fit Review

Semrush AI Visibility Platform Fit Review for Historical Trend Tracking

Semrush is a good fit for companies that need historical AI-visibility trends, citation movement, competitor benchmarking, and daily tracking of selected prompts across supported AI platforms, especially if they already use Semrush for SEO.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Semrush is a good fit for companies that need historical AI-visibility trends, citation movement, competitor benchmarking, and daily tracking of selected prompts across supported AI platforms, especially if they already use Semrush for SEO. Five of seven platforms named Semrush during the ranking stage, with an average listed rank of 5.4 and a best rank of 3. Its strongest asset is native historical trend reporting: Visibility Overview supports 1-month, 6-month, and all-time views, and Competitor Research populates with six months of history [1]. The main limitation is uncertainty about snapshot immutability, retention length, and platform coverage, which buyers must verify before purchase.

Research Snapshot

FieldFinding
Platform mentions in ranking stage5 of 7 platforms (deepseek, google, grok, openai, perplexity)
Share of included platform responses71.4%
Average listed rank5.4
Best listed rank3 (deepseek)
Relevant product/model/planSemrush AI Visibility Toolkit, with Prompt Tracking and Visibility Overview; Enterprise AIO may be relevant for large-scale requirements
Overall use-case fitGood, with material verification gaps
Research date2026-09-19

Why Semrush Qualified for This Study

Questions This Section Answers

  • Is Semrush a good choice for AI Visibility Platforms for Historical Trend Tracking?
  • Why did multiple AI platforms rank Semrush for historical AI visibility tracking?

Semrush qualified because it was named by five of the seven platforms evaluated during the ranking stage, giving it a 71.4% share of included platform responses and an average listed rank of 5.4. Deepseek placed it highest at rank 3, followed by grok and perplexity at rank 4, openai at rank 6, and google at rank 10. Two platforms, anthropic and kimi, did not name Semrush in their ranking stage but still evaluated its fit.

The qualification rests on documented historical-trend functionality rather than brand recognition alone. Semrush's own documentation describes historical month selection and 1-month, 6-month, and all-time trend views covering historical metrics, prompts, topics, and cited sources [3]. Competitor Research is documented to populate with six months of historical data [4]. Independent reviewers describe the toolkit as a serious product layer rather than a side feature, with its own reports, pricing, and enough prompt data to support decision-making [5].

Platform agreement on inclusion does not prove product quality. It indicates that multiple AI systems independently associated Semrush with this use case, which is the criterion this study measures.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Historical Trend Tracking

Questions This Section Answers

  • Which Semrush plan should a buyer choose if they need historical AI visibility trend data?
  • Does the $99 per month Semrush AI Visibility Toolkit include historical trend tracking?

The relevant product is the Semrush AI Visibility Toolkit, which includes Visibility Overview, Brand Performance, Competitor Research, Prompt Research, and Prompt Tracking [7]. For large-scale requirements, Enterprise AIO may be relevant, and Semrush One bundles AI visibility with SEO tools [7].

Visibility Overview is the core historical-trend surface. It supports selecting a past month to retrieve historical brand metrics, performing topics, prompts, and cited sources for that period, plus 1M, 6M, and All time trend toggles [9]. The 1M view shows daily reporting for the last 30 days, while 6M and All time present monthly historical data [11].

Prompt Tracking monitors selected prompts daily across ChatGPT Search, Google AI Mode, and Gemini, including visibility, average position, position changes, and cited domains or pages [13]. Brand Performance tracks narrative, sentiment, share of voice, citation percentage, and performance over time, updating weekly [14].

Semrush documentation uses multiple product labels, including AI Visibility Toolkit, AI Visibility, AI Toolkit, Semrush One, and Enterprise AIO [15]. The exact bundle available to a US buyer should be confirmed in the account or sales flow.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree that Semrush does well for historical AI visibility tracking?
  • Does Semrush provide citation trend and competitor movement data over time?

The strongest agreement concerns historical trend availability. Openai, anthropic, grok, and perplexity all cited Semrush documentation showing historical month selection and 1M/6M/All time trend views [16]. This is the single most consistently supported finding across platforms.

Platforms also agreed that Semrush tracks citations and cited sources. The toolkit reports citations, cited pages, cited sources, and citation opportunities [20], and Brand Performance tracks citation percentage over time [21]. Independent reviewers confirm the toolkit tracks mentions, citations, and cited pages across AI platforms [22].

Competitor movement drew broad support. Competitor Research compares mentions, citations, topic coverage, visibility, audience, and average citation position, with six months of historical data [24]. Independent reviews describe competitor research showing competitive positioning and visibility gaps over time [25].

Platforms further agreed that Semrush separates visibility by platform, allowing side-by-side trend comparison between ChatGPT and Google AI Overviews [27]. Google's response described a unified 0-100 AI Visibility Score tracked over time across Google AI Overviews, ChatGPT, Gemini, and Perplexity [30].

Finally, multiple platforms noted the integration advantage: for teams already using Semrush, adding AI visibility avoids a second login and invoice [31].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Semrush's historical AI visibility data reliable and not overwritten by newer results?
  • Which AI platforms does Semrush actually track, and do independent reviewers agree with Semrush's documentation?

The sharpest disagreement concerns overall fit. Openai, anthropic, and google rated Semrush a good fit. Grok, kimi, and perplexity rated it mixed. Deepseek rated it weak, describing the toolkit as a "beta" offering with limited providers and weekly cadence [33]. This split is material: three platforms see a strong historical-trend tool, and four see meaningful gaps.

Snapshot immutability is unresolved. Semrush provides historical month selectors and daily or monthly trend views, but public documentation does not clearly specify retention duration for every report, raw-response preservation, or immutable exports [34]. Third-party guidance recommends exporting to CSV on a schedule to preserve historical snapshots, suggesting data may be recomputed rather than locked [36]. No platform found documentation confirming that older snapshots are never overwritten.

Platform coverage conflicts. Semrush's newer documentation lists Perplexity, but independent mid-2026 reviews report Perplexity and Claude as limited or absent while Gemini was rolling out [38]. One independent review states Semrush covers only three answer engines: ChatGPT, AI Overview, and AI Mode [40]. Another lists six regional databases: US, UK, Canada, Australia, India, and Spain [41]. Google's response, by contrast, cites 117 regional databases [42]. These figures conflict and should be verified directly.

Scan frequency is disputed. Deepseek and kimi report a weekly cadence based on a competitor comparison page [33], while openai and google describe daily Prompt Tracking and daily rolling prompt-database updates [44]. The likely explanation is that different reports update at different frequencies, but no platform resolved this definitively.

Pricing and packaging are fragmented. Public pages describe the toolkit as a standalone add-on, part of Semrush One, or both [45]. Post-acquisition uncertainty adds to this: independent reviews report Adobe completed its acquisition of Semrush in April 2026, and note that integrations tend to reshuffle tiers and migrate features upmarket [47].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Semrush track prompt-level changes and platform differences for historical trend analysis?
  • How many custom prompts can a buyer track in the $99 per month Semrush AI Visibility Toolkit?

Historical visibility data is the primary strength. Visibility Overview supports historical month selection and 1-month, 6-month, and all-time trend views, with historical data covering brand metrics, performing topics, prompts, and cited sources [50]. Independent reviewers describe trend toggles enabling daily and monthly historical reporting views for long-term comparison [51].

Citation trends are supported through citations, cited pages, cited sources, and citation opportunities [53]. Brand Performance tracks citation percentage and performance over time [54].

Competitor movement is covered by Competitor Research, which compares mentions, citations, topic coverage, visibility, audience, and average citation position, and populates with six months of historical data [55]. Independent reviewers note the toolkit measures presence and position but does not identify the content or citation-source changes that drive competitor movement [56].

Prompt-level changes are tracked daily for selected prompts across ChatGPT Search, Google AI Mode, and Gemini, including visibility, average position, position changes, and cited domains or pages [58]. However, the standalone toolkit documents only 25 Prompt Tracking prompts per account [58], and Prompt Tracking supports desktop searches only [58]. Independent reviewers note prompt snapshots render as raw text requiring manual reading rather than visualized comparison [59].

Platform differences are separated by report. The prompt database covers ChatGPT, Gemini, Google AI Overviews, and Google AI Mode, while Brand Performance also covers Perplexity, and custom Prompt Tracking lists ChatGPT Search, Google AI Mode, and Gemini [62].

Coverage scale is documented at more than 317 million prompts and responses across covered platforms and 117 regional databases, though coverage remains limited to platforms, regions, and report types Semrush supports [62].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Semrush cost per month, and are there setup or cancellation fees?
  • What extra fees apply when a buyer adds domains, prompts, or users to the Semrush AI Visibility Toolkit?

The documented public price for the standalone AI Visibility Toolkit is $99 per month, with no free trial [65]. Included limits are one folder, one Brand Performance domain, 300 daily AI Analysis queries, 1,000 daily Prompt Research queries, 25 tracked prompts, AI Search Checks for up to 100 pages, and 10 daily CSV exports [65].

Additional costs are reported inconsistently. Openai documents additional Brand Performance domains or locations at $99 each [65]. Anthropic reports per-domain licensing at $99 per month, additional prompts at roughly $60 per 50 prompts, additional user seats at roughly $45 per month, and an optional content-generation add-on at $60 per month [66]. Perplexity notes third-party reporting of possible extra charges for domains, prompts, users, and reports but states these are not consistently documented on the same Semrush pages [69]. One independent review estimates a 10-domain agency portfolio at roughly $1,090 per month for the toolkit alone [70].

Bundle pricing differs by source. Anthropic lists Semrush One Starter at $199 per month, Pro+ at $299 per month, and Advanced at $549 per month [66]. Google lists Starter at $199 per month and Pro+ at $299 per month [71]. Official Semrush pricing excerpts retrieved for this study show SEO + AI Search plans at $139 monthly or $117.33 billed annually, $199 monthly or $165.17 billed annually, $299 monthly or $248.17 billed annually, and $549 monthly or $455.67 billed annually, with annual billing saving up to 17% (official:C2). These official excerpts were retrieved but not verified, and plan names are not fully mapped to the third-party labels.

Contract terms are partially documented. No free trial is documented for the standalone AI Visibility Toolkit [65]. For an existing annual subscription, the add-on is documented as prorated for the remaining annual term and renews with that subscription [65]. Official Semrush pricing text states buyers can cancel, downgrade, or upgrade at any time unless they have custom terms and a signed agreement (official:C2). Public documentation reviewed here does not establish the complete cancellation, refund, renewal, or minimum-term policy for every US purchase path [65].

Pricing confidence is moderate to low across platforms. Current US pricing, packaging, taxes, discounts, and Enterprise AIO pricing should be confirmed in the account or sales flow [65].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Semrush for historical AI visibility trend tracking?
  • Is Semrush best for teams already using Semrush SEO tools?

Semrush is best suited to marketing and SEO teams tracking brand visibility, citations, competitors, and topic-level movement over time [73]. It fits companies needing both broad database-based historical analysis and daily custom-prompt monitoring [74].

It also suits organizations already using Semrush that want AI visibility data integrated with SEO reporting and Position Tracking [75]. Independent reviewers describe the toolkit's real advantage as being already where the team works, removing a login, a second invoice, and internal debate about buying another tool [75].

Enterprise buyers needing larger tracking limits, custom workflows, integrations, and advanced analytics through Enterprise AIO are also a fit [73]. Teams monitoring AI Visibility Score trends and share-of-voice metrics over weeks and months fit the core reporting model [78].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Semrush for historical AI visibility trend tracking?
  • Is Semrush unsuitable for buyers who need comprehensive recommendation-platform coverage?

Buyers requiring comprehensive monitoring of every major recommendation, shopping, or answer platform should look elsewhere [80]. Teams needing unlimited custom prompts, unrestricted locations, or full raw-response archival without confirming enterprise terms are also poorly matched, given the documented 25-prompt limit on the standalone toolkit [81].

Organizations that require third-party validation of modeled visibility, audience, or AI search-volume metrics are not well served, because visibility, audience, and AI-volume figures are modeled or estimated rather than direct measurements of all user responses [82].

Buyers needing daily narrative or citation-change detection should note that Brand Performance updates weekly [86]. Teams requiring automatic export and archival of historical snapshots to external systems for long-term comparison will need manual discipline, since history lives inside Semrush unless exported [87]. Businesses requiring proof of immutable snapshot history and forensic trend analysis with no data overwriting cannot currently confirm that guarantee from public documentation [88].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Semrush for a buyer who needs daily snapshots and prompt-level citation diffing?
  • When should a buyer choose a dedicated AI visibility platform instead of the Semrush AI Visibility Toolkit?

A more specialized enterprise AI-search monitoring platform may be better when the buyer needs substantially higher custom-prompt volume, broader platform coverage, raw-response archiving, or formal data-retention commitments [89].

For daily snapshots and prompt-level history, platforms such as Presenc AI (daily snapshots, full prompt history retained indefinitely, multi-year trend lines) and optiseo (daily scans, 12 months history) are positioned as alternatives [91]. For citation diffing across dates, Wellows offers a prompt-level diff of new versus lost citations across selected dates [93].

For broader engine coverage, SE Visible lists ChatGPT, Gemini, AI Mode, Perplexity, and AI Overviews with Claude coming soon [95]. Meev reports share-of-answer tracking across ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews, AI Mode, and DeepSeek [97]. Vazi offers a $29 per month cloud plan with weekly scans or a free self-hosted open-source core [98].

For buyers whose priority is product recommendations rather than search-answer visibility, a platform with stronger recommendation or shopping-system coverage is a better match [99]. For buyers needing unlimited or materially expanded tracking, custom integrations, or enterprise reporting commitments, Enterprise AIO or a custom Semrush package is the relevant path [99].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Semrush before signing a contract for historical trend tracking?
  • Can Semrush demonstrate that older historical snapshots are not overwritten?

Buyers should confirm how many months or years of historical data are retained for Visibility Overview, Competitor Research, Brand Performance, and Prompt Tracking, and whether historical snapshots are immutable or can change after prompt-database, model, platform, or methodology updates [101].

They should also confirm whether raw prompts, responses, citations, cited URLs, timestamps, platform, location, and model metadata can be exported, and whether the current US plan includes all required platforms, especially Perplexity, recommendation systems, and shopping experiences [103].

Additional items to verify include whether the buyer can exceed 25 tracked prompts without moving to Semrush One or Enterprise AIO and at what incremental cost; whether historical competitor comparisons are available for newly added competitors or only after a collection period; what exact locations, languages, devices, and personalization settings are supported; and what cancellation, renewal, refund, and annual-commitment terms apply to the intended purchase path [105].

Finally, buyers should ask how methodology changes are versioned and disclosed in historical reports, and whether Semrush can provide a sample historical export demonstrating that older snapshots are not overwritten [102].

Final AI Consensus Verdict

Semrush is a good fit for AI Visibility Platforms for Historical Trend Tracking, with material caveats. Five of seven platforms named it during ranking, and three of seven rated it a good fit, while three rated it mixed and one rated it weak. The strongest reason to consider it is documented historical trend functionality: month-level historical views, 1M/6M/All time toggles, six months of competitor history, and daily prompt tracking across supported platforms [108].

The main limitation is verification, not capability. Public documentation does not clearly establish retention duration, snapshot immutability, raw-response preservation, or export availability for every historical report [111]. Platform coverage statements conflict between Semrush documentation and independent reviews [113]. Pricing and packaging are fragmented across standalone, bundled, and enterprise paths, with post-Adobe-acquisition roadmap uncertainty [115].

Buyers who already use Semrush and need integrated historical AI-visibility trends alongside SEO reporting have a strong case. Buyers who need guaranteed immutable archives, broad recommendation-platform coverage, or large-scale custom prompt monitoring should verify requirements against alternatives before committing. For the broader category context, see the AI Visibility Platforms for Historical Trend Tracking consensus index.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms, each evaluating Semrush against the same use case: AI Visibility Platforms for Historical Trend Tracking. Each platform returned a fit rating, strengths, limitations, use-case findings, pricing and terms, and questions to verify before buying. Five platforms named Semrush during the ranking stage; two evaluated fit without naming it in ranking. All platform responses were dated 2026-09-19. Citations are platform-reported evidence and were not independently verified by the writer stage. Where platforms cited Semrush's own documentation, that evidence is labeled company-owned; where they cited third-party reviews, it is labeled independent.

Methodology Limitations

This study relies on platform-reported research, not independent testing. No platform performed hands-on product trials, and no customer experience data was collected. Several findings rest on company-owned documentation, which may not reflect current product behavior. Conflicting claims about platform coverage, scan frequency, pricing, and regional database counts were preserved rather than resolved. Deepseek's response relied on a competitor comparison page rather than Semrush's own documentation, and its pricing confidence was low. Pricing figures vary by source, billing term, and geography, and official pricing excerpts retrieved for this study were not verified. Post-acquisition changes following Adobe's reported April 2026 completion may alter packaging, pricing, and roadmap. Buyers should treat all pricing, coverage, and retention claims as requiring direct confirmation with Semrush.

Explore more ai visibility llm monitoring guidance in the category directory.

Sources

Company-Owned Sources

  • Vazi — AI Visibility Tracking for Brands: https://vazi.io/
  • Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
  • Visibility Tracker — See Every AI Answer | Viali: https://viali.ai/product/visibility-tracking/
  • Semrush AI visibility features: https://www.semrush.com/features/ai-visibility/
  • Semrush Subscription plans & Toolkits: https://www.semrush.com/kb/1011-subscriptions
  • AI Visibility Toolkit: Boost Brand Visibility in AI Search: https://www.semrush.com/kb/1493-ai-visibility-toolkit
  • AI Visibility Brand Performance Reports: https://www.semrush.com/kb/1595-brand-performance-reports
  • Where does the data in Semrush’s AI Visibility Toolkit come from?: https://www.semrush.com/kb/1607-semrush-ai-visibility-data
  • Semrush Features for AI Visibility: https://www.semrush.com/kb/1626-ai-visibility-features
  • Historical Data | Semrush Knowledge Base: https://www.semrush.com/kb/64-historical-data
  • AI Visibility Toolkit Pricing | Semrush: https://www.semrush.com/pricing/ai/
  • Official pricing and terms source: https://www.semrush.com/
  • Official pricing and terms source: https://www.semrush.com/pricing/seo-ai-search/
  • Additional AI research evidence117 records
    1. AI research evidence record openai:semrush_visibility_overview
    2. AI research evidence record openai:semrush_competitor_research
    3. AI research evidence record openai:semrush_visibility_overview
    4. AI research evidence record openai:semrush_competitor_research
    5. AI research evidence record anthropic:11-5
    6. AI research evidence record anthropic:11-7
    7. AI research evidence record openai:semrush_features
    8. AI research evidence record anthropic:12-1
    9. AI research evidence record openai:semrush_visibility_overview
    10. AI research evidence record anthropic:1-15
    11. AI research evidence record anthropic:1-16
    12. AI research evidence record perplexity:c1
    13. AI research evidence record openai:semrush_prompt_tracking
    14. AI research evidence record openai:semrush_brand_performance
    15. AI research evidence record openai:semrush_data_sources
    16. AI research evidence record openai:semrush_visibility_overview
    17. AI research evidence record anthropic:1-15
    18. AI research evidence record grok:web:3
    19. AI research evidence record perplexity:c1
    20. AI research evidence record openai:semrush_metrics
    21. AI research evidence record openai:semrush_brand_performance
    22. AI research evidence record anthropic:20-7
    23. AI research evidence record anthropic:20-8
    24. AI research evidence record openai:semrush_competitor_research
    25. AI research evidence record anthropic:35-3
    26. AI research evidence record anthropic:35-4
    27. AI research evidence record anthropic:6-7
    28. AI research evidence record anthropic:6-8
    29. AI research evidence record anthropic:6-10
    30. AI research evidence record google:1.1.9
    31. AI research evidence record anthropic:40-6
    32. AI research evidence record anthropic:40-7
    33. AI research evidence record deepseek:c1
    34. AI research evidence record openai:semrush_visibility_overview
    35. AI research evidence record openai:semrush_data_sources
    36. AI research evidence record anthropic:43-8
    37. AI research evidence record anthropic:43-9
    38. AI research evidence record anthropic:31-6
    39. AI research evidence record anthropic:39-2
    40. AI research evidence record anthropic:24-11
    41. AI research evidence record anthropic:24-17
    42. AI research evidence record google:1.1.7
    43. AI research evidence record kimi:optiseo-compare
    44. AI research evidence record openai:semrush_prompt_tracking
    45. AI research evidence record perplexity:c6
    46. AI research evidence record perplexity:c7
    47. AI research evidence record anthropic:13-2
    48. AI research evidence record anthropic:13-3
    49. AI research evidence record anthropic:13-7
    50. AI research evidence record openai:semrush_visibility_overview
    51. AI research evidence record anthropic:1-15
    52. AI research evidence record anthropic:1-16
    53. AI research evidence record openai:semrush_metrics
    54. AI research evidence record openai:semrush_brand_performance
    55. AI research evidence record openai:semrush_competitor_research
    56. AI research evidence record anthropic:35-3
    57. AI research evidence record anthropic:35-4
    58. AI research evidence record openai:semrush_prompt_tracking
    59. AI research evidence record anthropic:41-4
    60. AI research evidence record anthropic:41-5
    61. AI research evidence record anthropic:41-6
    62. AI research evidence record openai:semrush_data_sources
    63. AI research evidence record openai:semrush_features
    64. AI research evidence record google:1.1.7
    65. AI research evidence record openai:semrush_pricing
    66. AI research evidence record anthropic:12-1
    67. AI research evidence record perplexity:c3
    68. AI research evidence record google:1.4.2
    69. AI research evidence record perplexity:c7
    70. AI research evidence record anthropic:16-3
    71. AI research evidence record google:1.3.2
    72. AI research evidence record perplexity:c5
    73. AI research evidence record openai:semrush_features
    74. AI research evidence record openai:semrush_prompt_tracking
    75. AI research evidence record anthropic:40-6
    76. AI research evidence record anthropic:40-7
    77. AI research evidence record google:1.3.9
    78. AI research evidence record anthropic:20-8
    79. AI research evidence record google:1.1.9
    80. AI research evidence record openai:semrush_features
    81. AI research evidence record openai:semrush_prompt_tracking
    82. AI research evidence record openai:semrush_metrics
    83. AI research evidence record anthropic:22-13
    84. AI research evidence record anthropic:22-14
    85. AI research evidence record anthropic:22-15
    86. AI research evidence record openai:semrush_brand_performance
    87. AI research evidence record anthropic:43-9
    88. AI research evidence record openai:semrush_data_sources
    89. AI research evidence record openai:semrush_prompt_tracking
    90. AI research evidence record openai:semrush_data_sources
    91. AI research evidence record deepseek:c3
    92. AI research evidence record kimi:presenc-historical
    93. AI research evidence record deepseek:c4
    94. AI research evidence record kimi:wellows-history
    95. AI research evidence record deepseek:2
    96. AI research evidence record kimi:se-visible
    97. AI research evidence record kimi:meev-tracker
    98. AI research evidence record kimi:vazi-pricing
    99. AI research evidence record openai:semrush_features
    100. AI research evidence record google:1.3.9
    101. AI research evidence record openai:semrush_visibility_overview
    102. AI research evidence record openai:semrush_data_sources
    103. AI research evidence record openai:semrush_prompt_tracking
    104. AI research evidence record openai:semrush_features
    105. AI research evidence record openai:semrush_pricing
    106. AI research evidence record openai:semrush_competitor_research
    107. AI research evidence record anthropic:43-9
    108. AI research evidence record openai:semrush_visibility_overview
    109. AI research evidence record openai:semrush_competitor_research
    110. AI research evidence record openai:semrush_prompt_tracking
    111. AI research evidence record openai:semrush_data_sources
    112. AI research evidence record anthropic:43-9
    113. AI research evidence record anthropic:31-6
    114. AI research evidence record anthropic:24-11
    115. AI research evidence record perplexity:c6
    116. AI research evidence record perplexity:c7
    117. AI research evidence record anthropic:13-7

Independent Sources

  • Semrush AI Visibility Toolkit Review (2026: https://aitoolrush.com/reviews/semrush-ai-visibility-toolkit
  • AI Visibility Toolkit Pricing: Semrush's Real Cost | AuditAE: https://auditae.app/blog/real-cost-of-semrush-ai-visibility-audit
  • Semrush AI Visibility Toolkit Review: Is It Enough for AI Search Optimization?: https://dageno.ai/blog/semrush-ai-visibility-toolkit-review
  • Semrush Review: Is the AI Visibility Toolkit Enough? (2026: https://getmint.ai/resources/semrush-review
  • AI Visibility Tracker: Continuous Share-of-Answer Tracking | Meev: https://meev.ai/ai-visibility-tracker
  • Semrush AI Visibility Toolkit Review (2026): Pricing: https://meev.ai/reviews/semrush-ai-visibility-toolkit
  • AI Visibility Dashboard - optiseo: https://optiseo.com/ai-visibility-dashboard/
  • Historical Trend Analysis for AI Brand Mentions | Presenc AI: https://presenc.ai/use-cases/historical-ai-brand-mention-trends
  • Semrush AI for Search Visibility | Refact: https://refact.co/insights/ai-automation/semrush-ai-search
  • Semrush AI Visibility Toolkit Review (2026): Pricing and Limits | Sightivo: https://sightivo.com/blog/semrush-ai-visibility-toolkit-review
  • Semrush Review (2026) - AI Visibility Toolkit, Pricing, and Honest Verdict | Trakkr: https://trakkr.ai/reviews/semrush-review
  • Semrush AI Visibility Pricing 2026: Plans, Limits and True Cost | Trakkr: https://trakkr.ai/reviews/semrush-review/pricing
  • SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
  • Citation Performance History for AI Visibility | Wellows: https://wellows.com/features/performance-history/
  • Semrush AI Visibility Toolkit review (2026: https://www.01net.com/en/seo/tools/semrush/ai-visibility-toolkit/
  • Semrush AI Visibility Toolkit Review: Is It Worth Adding to Your Stack? | Am I Cited: https://www.amicited.com/blog/semrush-ai-visibility-toolkit-review/
  • Semrush Historical Data: Competitive Intelligence Framework (Guru Plan: https://www.flyingvgroup.com/seotools/semrush-historical-data/
  • Semrush Review: Is the AI Visibility Toolkit Enough for 2026? - GetMint: https://www.getmint.ai/blog/semrush-review
  • Semrush AI Visibility Toolkit Review: What It Tracks and What It Misses: https://www.honeyb.ai/blog/semrush-ai-toolkit-review
  • Semrush AI Visibility Toolkit: What It Does, Pricing and Alternatives: https://www.honeyb.ai/blog/semrush-ai-visibility-toolkit
  • Semrush AI Visibility Toolkit review: what it gets right (and wrong: https://www.tryprofound.com/blog/semrush-ai-visibility-toolkit-review
  • Additional AI research evidence117 records
    1. AI research evidence record openai:semrush_visibility_overview
    2. AI research evidence record openai:semrush_competitor_research
    3. AI research evidence record openai:semrush_visibility_overview
    4. AI research evidence record openai:semrush_competitor_research
    5. AI research evidence record anthropic:11-5
    6. AI research evidence record anthropic:11-7
    7. AI research evidence record openai:semrush_features
    8. AI research evidence record anthropic:12-1
    9. AI research evidence record openai:semrush_visibility_overview
    10. AI research evidence record anthropic:1-15
    11. AI research evidence record anthropic:1-16
    12. AI research evidence record perplexity:c1
    13. AI research evidence record openai:semrush_prompt_tracking
    14. AI research evidence record openai:semrush_brand_performance
    15. AI research evidence record openai:semrush_data_sources
    16. AI research evidence record openai:semrush_visibility_overview
    17. AI research evidence record anthropic:1-15
    18. AI research evidence record grok:web:3
    19. AI research evidence record perplexity:c1
    20. AI research evidence record openai:semrush_metrics
    21. AI research evidence record openai:semrush_brand_performance
    22. AI research evidence record anthropic:20-7
    23. AI research evidence record anthropic:20-8
    24. AI research evidence record openai:semrush_competitor_research
    25. AI research evidence record anthropic:35-3
    26. AI research evidence record anthropic:35-4
    27. AI research evidence record anthropic:6-7
    28. AI research evidence record anthropic:6-8
    29. AI research evidence record anthropic:6-10
    30. AI research evidence record google:1.1.9
    31. AI research evidence record anthropic:40-6
    32. AI research evidence record anthropic:40-7
    33. AI research evidence record deepseek:c1
    34. AI research evidence record openai:semrush_visibility_overview
    35. AI research evidence record openai:semrush_data_sources
    36. AI research evidence record anthropic:43-8
    37. AI research evidence record anthropic:43-9
    38. AI research evidence record anthropic:31-6
    39. AI research evidence record anthropic:39-2
    40. AI research evidence record anthropic:24-11
    41. AI research evidence record anthropic:24-17
    42. AI research evidence record google:1.1.7
    43. AI research evidence record kimi:optiseo-compare
    44. AI research evidence record openai:semrush_prompt_tracking
    45. AI research evidence record perplexity:c6
    46. AI research evidence record perplexity:c7
    47. AI research evidence record anthropic:13-2
    48. AI research evidence record anthropic:13-3
    49. AI research evidence record anthropic:13-7
    50. AI research evidence record openai:semrush_visibility_overview
    51. AI research evidence record anthropic:1-15
    52. AI research evidence record anthropic:1-16
    53. AI research evidence record openai:semrush_metrics
    54. AI research evidence record openai:semrush_brand_performance
    55. AI research evidence record openai:semrush_competitor_research
    56. AI research evidence record anthropic:35-3
    57. AI research evidence record anthropic:35-4
    58. AI research evidence record openai:semrush_prompt_tracking
    59. AI research evidence record anthropic:41-4
    60. AI research evidence record anthropic:41-5
    61. AI research evidence record anthropic:41-6
    62. AI research evidence record openai:semrush_data_sources
    63. AI research evidence record openai:semrush_features
    64. AI research evidence record google:1.1.7
    65. AI research evidence record openai:semrush_pricing
    66. AI research evidence record anthropic:12-1
    67. AI research evidence record perplexity:c3
    68. AI research evidence record google:1.4.2
    69. AI research evidence record perplexity:c7
    70. AI research evidence record anthropic:16-3
    71. AI research evidence record google:1.3.2
    72. AI research evidence record perplexity:c5
    73. AI research evidence record openai:semrush_features
    74. AI research evidence record openai:semrush_prompt_tracking
    75. AI research evidence record anthropic:40-6
    76. AI research evidence record anthropic:40-7
    77. AI research evidence record google:1.3.9
    78. AI research evidence record anthropic:20-8
    79. AI research evidence record google:1.1.9
    80. AI research evidence record openai:semrush_features
    81. AI research evidence record openai:semrush_prompt_tracking
    82. AI research evidence record openai:semrush_metrics
    83. AI research evidence record anthropic:22-13
    84. AI research evidence record anthropic:22-14
    85. AI research evidence record anthropic:22-15
    86. AI research evidence record openai:semrush_brand_performance
    87. AI research evidence record anthropic:43-9
    88. AI research evidence record openai:semrush_data_sources
    89. AI research evidence record openai:semrush_prompt_tracking
    90. AI research evidence record openai:semrush_data_sources
    91. AI research evidence record deepseek:c3
    92. AI research evidence record kimi:presenc-historical
    93. AI research evidence record deepseek:c4
    94. AI research evidence record kimi:wellows-history
    95. AI research evidence record deepseek:2
    96. AI research evidence record kimi:se-visible
    97. AI research evidence record kimi:meev-tracker
    98. AI research evidence record kimi:vazi-pricing
    99. AI research evidence record openai:semrush_features
    100. AI research evidence record google:1.3.9
    101. AI research evidence record openai:semrush_visibility_overview
    102. AI research evidence record openai:semrush_data_sources
    103. AI research evidence record openai:semrush_prompt_tracking
    104. AI research evidence record openai:semrush_features
    105. AI research evidence record openai:semrush_pricing
    106. AI research evidence record openai:semrush_competitor_research
    107. AI research evidence record anthropic:43-9
    108. AI research evidence record openai:semrush_visibility_overview
    109. AI research evidence record openai:semrush_competitor_research
    110. AI research evidence record openai:semrush_prompt_tracking
    111. AI research evidence record openai:semrush_data_sources
    112. AI research evidence record anthropic:43-9
    113. AI research evidence record anthropic:31-6
    114. AI research evidence record anthropic:24-11
    115. AI research evidence record perplexity:c6
    116. AI research evidence record perplexity:c7
    117. AI research evidence record anthropic:13-7

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Study date
September 19, 2026
Platforms analyzed
7
Source records
45
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#3

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

24 independent · 21 company-owned

Evidence support

23 direct · 4 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 c4261b2aed74936be48ca63eaaf1461ddb3cc47084ae00124dd4f840d729446c