Answer Capsule
Conductor is a strong fit for enterprise buyers that need AI search visibility measurement connected to content, technical SEO, and execution workflows — but it is a weak fit for small teams, budget-constrained buyers, or anyone who needs transparent published pricing before contacting sales. Two of the seven platforms in this study named Conductor during the ranking stage (deepseek and perplexity), giving it a 28.6% share of included platform responses, an average listed rank of 8.5, and a best listed rank of 8. The strongest reason to consider it is its stated combination of multi-engine AI visibility tracking, competitor benchmarking, citation analysis, and connected content/technical execution in one enterprise platform. The main limitation is that pricing, plan scope, and measurement methodology are not publicly verifiable.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (deepseek, perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 8.5 |
| Best listed rank | 8 |
| Relevant product/model/plan | Conductor AI Search Performance module within Conductor Intelligence; related Monitoring, Creator, and AgentStack capabilities |
| Overall use-case fit | Strong for enterprise buyers; mixed-to-uncertain for smaller or budget-constrained buyers |
| Research date | 2026-09-18 |
Why Conductor Qualified for This Study
Questions This Section Answers
- Why did Conductor qualify for this AI search visibility partner study?
- How many AI platforms named Conductor during the ranking stage?
Conductor qualified because two of the seven platforms in this study — deepseek and perplexity — named it during the ranking stage, and all seven platforms evaluated it for fit. That produces a 28.6% share of included platform responses, an average listed rank of 8.5, and a best listed rank of 8. The two platforms that named it placed it at rank 8 (deepseek) and rank 9 (perplexity) [1].
The platforms that did not name Conductor during ranking still produced detailed fit assessments, which is why this review draws on seven platform responses even though only two platforms named the entity in the ranking stage. Fit ratings ranged from "strong" (openai, google, grok) to "good" (anthropic) to "mixed" (deepseek, perplexity) to "uncertain" (kimi). That spread is itself a finding: the platforms agree Conductor is a credible enterprise option, but they disagree on how well it fits a buyer whose primary need is AI search visibility measurement and execution.
Conductor's stated product scope — AI Search Performance, Conductor Intelligence, Conductor Monitoring, Conductor Creator, and AgentStack — maps directly onto the study's criteria: measuring where a brand appears across AI systems, benchmarking competitors, analyzing recommendations and citations, and implementing changes [3].
The Product, Model, Plan, or Service Most Relevant to AI Search Visibility Partners for Measurement and Execution
Questions This Section Answers
- Which Conductor product or plan is most relevant for AI search visibility measurement and execution?
- Is Conductor AI Search Performance included in Conductor's base plans or sold as a separate module?
The relevant offering is the Conductor AI Search Performance module inside the broader Conductor Intelligence platform, supported by Conductor Monitoring, Conductor Creator, and AgentStack [6]. Conductor's own materials describe AI Search Performance as tracking brand mentions, explicit website citations, sentiment, share of voice, and competitive presence across AI answer engines [11].
Platforms described the product differently, and that inconsistency matters for buyers. OpenAI framed it as "Conductor AI Search Performance and related Conductor Intelligence, Monitoring, Creator, technical SEO, and AI visibility capabilities." Anthropic described it as the "AI Search Performance module (part of Conductor Intelligence platform)" plus a ChatGPT MCP app and AI Topic Map. Google described a "Conductor Enterprise AEO Platform" incorporating Intelligence, Creator, Monitoring, and AgentStack. Kimi referred to the "Conductor Searchlight platform with AI visibility monitoring capabilities." These are not identical product descriptions, and the platforms did not reconcile them.
One point of partial agreement: Grok reported that AI Search Performance is included from the Essentials tier upward [14], while OpenAI reported that entry-level plans may not include full AI tracking [6]. Buyers should treat plan-level inclusion as unresolved and confirm it in writing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Conductor does well for AI search visibility measurement?
- Does Conductor combine AI visibility measurement with content and technical execution?
The clearest area of agreement is that Conductor combines AI visibility measurement with adjacent SEO, content, and technical execution rather than offering measurement alone. OpenAI, Anthropic, Google, Grok, and Perplexity all described some version of this observe-diagnose-implement workflow [15].
Platforms also broadly agreed on the measurement surface: brand mentions, citations, sentiment, share of voice, and competitive benchmarking across major AI engines. Conductor's own documentation states it tracks ChatGPT, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, and Claude [20]. Google reported six-plus AI platforms tracked [23].
A third area of agreement is enterprise positioning. Independent coverage describes Conductor as suited to enterprise-scale content operations [24], and Anthropic cited Forrester Wave Leader status in Q3 2025 with the highest AI-integrated SEO scores, plus SoftwareReviews Gold Medalist status for four consecutive years [26]. These are third-party recognitions, but they were surfaced through platform-reported research rather than independently validated by this study.
Finally, platforms agreed that Conductor offers developer and agent access. Anthropic and Google both described a native MCP server and API access to AI visibility data [28].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Where do AI platforms disagree about Conductor's fit for AI search visibility measurement?
- Is Conductor's AI visibility data collection methodology independently verified?
Fit ratings diverged sharply. OpenAI, Google, and Grok rated Conductor a strong fit; Anthropic rated it good; DeepSeek and Perplexity rated it mixed; Kimi rated it uncertain. The disagreement is not about whether Conductor has AI visibility features — it is about whether those features are documented and verifiable enough for a buyer whose primary need is AI search visibility measurement and execution.
Pricing is the most consistent uncertainty. OpenAI reported a starting price of approximately $1,500 per month from a Conductor-authored guide, with low pricing confidence [31]. Anthropic reported custom sales-led pricing with real-world enterprise deals ranging from $26,800 to $500,000+ annually and a median of $48,950 for mid-market deployments [32]. Google reported $30,000–$150,000+ per year plus implementation fees from $20,000 upward [33]. Grok reported custom quotes only, often $150K+/year for full features [35]. Perplexity reported value-based pricing tied to AI Response Credits with no verified public list price [36]. DeepSeek and Kimi both reported no public pricing at all [38]. These figures conflict and should be treated as indicative, not verified.
Data collection methodology is a second disagreement. Anthropic reported that Conductor pulls AI answers via official APIs rather than UI scraping, and cited an independent Surfer SEO analysis arguing API-based collection is less representative of real user-facing results [40]. No platform reported an independent 2026 study directly comparing Conductor's API method to UI scraping accuracy.
Engine coverage is a third uncertainty. Anthropic reported six engines with emerging platforms like DeepSeek and Grok requiring an Enterprise AIO tier upgrade, and noted Conductor lacks the 50+ country and 28-language granularity of some competitors [41]. Kimi could not verify which specific AI models Conductor tracks [39]. DeepSeek could not verify platform coverage or refresh cadence [38].
Citation architecture depth is a fourth. Anthropic cited independent reporting that most AI visibility tools, including Conductor, provide dashboard reporting on citations but fewer explain citation architecture or why competitors outperform [43]. DeepSeek could not locate public documentation of a citation-architecture or recommendation-analysis feature at the requested depth [38].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What AI search visibility features does Conductor offer for measurement and execution?
- Can Conductor benchmark competitors and analyze citations across ChatGPT, Gemini, Perplexity, and Claude?
Conductor's stated capabilities map to the study's criteria as follows.
AI engine coverage. Conductor's materials state coverage across ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode, Claude, Grok, Copilot, and other systems [44]. Anthropic reported six engines tracked, with DeepSeek and Grok requiring an Enterprise AIO tier upgrade [46]. The exact engine list by plan should be verified.
Visibility measurement. The platform is described as measuring brand presence, share of voice, sentiment, recommendations, cited pages, competitive presence, and changes over time [44].
Competitor benchmarking. Competitive benchmarking is listed as supported, including competitor presence, sentiment, recommendations, and share-of-voice comparisons versus up to 50 competitors [44].
Citation and source analysis. Conductor distinguishes brand mentions from website citations and shows which pages earn AI visibility by topic [50]. Public materials do not fully document sampling methodology, prompt design, refresh frequency, or statistical confidence [44].
Execution capability. Conductor connects AI visibility data to an AI Writing Assistant, content optimization, real-time website monitoring, technical health alerts, and integrations [44]. Anthropic noted the workflow involves Conductor Creator draft generation and then optimization or publishing — not a single automated end-to-end loop [53].
Developer and agent access. Conductor offers a native MCP server and an ai_search_response API endpoint for programmatic access to AI results [55]. Google described AgentStack as a suite of native LLM apps, developer infrastructure, and turnkey agents [57].
Crawler monitoring. Conductor provides 24/7 monitoring of AI bot crawl activity including GPTBot and PerplexityBot, with real-time alerts and identification of crawlability blocks [58].
Analytics integration. Conductor unifies AI visibility with GA4 and Adobe Analytics to connect citations to traffic, engagement, and conversions [60].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Conductor cost per month, and are there setup or cancellation fees?
- What contract length and renewal terms should a buyer expect from Conductor?
Conductor does not publish standard retail pricing. Its pricing page describes a "value focused" and "usage-based" model built around value rather than seats, with no listed dollar figures (official:C2). All platform-reported pricing figures conflict and should be treated as indicative.
| Source | Reported figure | Confidence |
|---|---|---|
| OpenAI (Conductor-authored guide) | ~$1,500/month starting price | Low |
| Anthropic (Vendr and Madx Digital data) | $26,800–$500,000+ annually; median $48,950 mid-market | Moderate |
| Google (Vendr, CheckThat) | $30,000–$150,000+ annually; implementation $20,000+ | Moderate |
| Grok | Custom quotes only; often $150K+/year for full features | Moderate |
| Perplexity | Value-based, tied to AI Response Credits; no verified list price | Low |
| DeepSeek | No public pricing located | Low |
| Kimi | No public pricing located | Low |
Additional cost considerations reported by platforms: AI tracking may require a higher tier or add-on [61]; AI Search Credits are metered per platform and query volume [62]; onboarding and implementation services are typically separate line items, with first-year total cost often running 1.5–2x subscription price [62]; custom API integrations and agent deployments may incur additional licensing or usage fees [63].
Contract terms are also unclear. Anthropic reported an annual licensing model with custom contracts, no standard month-to-month option, and a free 3-week trial [62]. Google reported annual or multi-year subscription commitments with no self-service monthly plans [64]. Perplexity reported no verified public contract length, cancellation rule, or refund policy [65]. Conductor's terms of use page covers website use, not subscription contracts (official:C3).
Best Suited For
Questions This Section Answers
- Is Conductor a good choice for enterprise teams that need AI search visibility measurement and execution?
- Which buyers get the most value from Conductor's AI Search Performance module?
Conductor is best suited to enterprise marketing and SEO teams managing multiple brands, markets, or large content operations [67]. It fits organizations that want one platform for AI visibility measurement plus content and technical execution, rather than separate point tools [67].
It also fits teams that need competitive benchmarking, citation analysis, AI-engine coverage, and workflow integrations in a single system [67]. Buyers who need to connect AI visibility data to GA4 or Adobe Analytics for ROI measurement are a stated fit [71].
Organizations that want programmatic access to AI visibility data via MCP server or API to power internal agents or BI workflows are also a stated fit [72]. Highly regulated industries requiring SOC 2 Type 2 and ISO 27001 certifications are a stated fit per Google's assessment [75].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Conductor for AI search visibility measurement and execution?
- Is Conductor a poor fit for small teams or buyers needing transparent published pricing?
Conductor is probably not the best fit for small teams seeking inexpensive self-serve monitoring [76]. Buyers needing fully disclosed public pricing and simple month-to-month terms are also a poor fit, since all platforms reported custom or quote-based pricing [76].
Organizations wanting an independent specialist consultancy to implement changes — rather than primarily a software platform — are a stated poor fit [76]. Buyers evaluating purely on AI visibility measurement without existing or planned enterprise SEO deployment may find the breadth and cost overscoped [80].
Teams needing coverage of emerging or niche AI engines beyond the six major platforms without a tier upgrade are a stated poor fit [81]. Buyers requiring multi-country or multi-language tracking granularity comparable to OtterlyAI's 50+ countries and 28 languages are also a stated poor fit [81]. Mid-market teams with budgets under $50k annually and no appetite for sales negotiation are a stated poor fit [80].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Conductor for low-cost AI visibility monitoring?
- When should a buyer choose a specialist AI visibility tool over Conductor?
A lower-cost specialist such as Otterly.AI may be better when the primary need is basic AI-answer monitoring and citation tracking rather than enterprise execution [82]. Profound or Athena may be better when citation mechanics, competitive intelligence, and AI-answer diagnostics matter more than integrated content and technical SEO execution [82].
Peec AI or comparable tools may be better when API-based data collection, multilingual coverage, or a narrower monitoring workflow is prioritized [82]. An independent AEO consultancy or agency may be better when the buyer needs hands-on implementation, digital PR, technical remediation, and content production rather than software-led execution [82].
Kimi's assessment named Meev, SE Visible, Viali, ReachLLM, Amplitude AI Visibility, and Centium as alternatives with clearer feature alignment and transparent entry points for dedicated AI visibility measurement [84]. Anthropic named OtterlyAI, Profond, Semrush's AI Visibility Toolkit, Frase, and Dageno AI as alternatives depending on budget, language coverage, or workflow integration needs [90]. Google named QuickSEO, AIClicks, and AirOps Page360 as alternatives for SMB, agency, or unified-dashboard needs [92].
These alternative recommendations come from platform-reported research and were not independently validated by this study. Buyers should verify each alternative's current capabilities and pricing directly.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Conductor before signing a contract?
- Which AI engines, prompts, and regions are included in a Conductor quote?
Platforms converged on a similar verification list. Buyers should confirm which exact AI engines, regions, languages, prompt types, and answer formats are included in the quoted plan, and whether ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Grok, and Copilot are all included or separately priced [93].
Buyers should also confirm how prompts are selected, localized, refreshed, deduplicated, and weighted; how Conductor distinguishes a brand mention, recommendation, citation, source influence, and referral attribution; and whether the platform can show the exact cited URL, passage, source category, competitor comparison, and change history for each observation [93].
Additional items to verify: data-retention limits, export options, API limits, MCP permissions, and integration costs; which features are excluded from the reported starting price; whether seats, brands, domains, markets, tracked prompts, AI responses, crawl volume, or users are metered; what implementation, onboarding, consulting, training, and support services are included; and what contract length, renewal, cancellation, refund, SLA, security, and data-processing terms apply [93].
Finally, buyers should request a proof of concept using their real prompts, competitors, markets, and citation targets, and ask what evidence demonstrates that recommendations led to measurable improvements in AI visibility or qualified traffic [93].
Final AI Consensus Verdict
Conductor is a strong fit for enterprise buyers that need AI search visibility measurement connected to content, technical SEO, and execution workflows in one platform. Three platforms rated it strong, one rated it good, two rated it mixed, and one rated it uncertain. The strongest reason to consider it is the stated combination of multi-engine AI visibility tracking, competitor benchmarking, citation analysis, and connected content and technical execution. The main limitation is that pricing, plan-level AI tracking inclusion, measurement methodology, and contract terms are not publicly verifiable, and company-owned citations materially outnumber independent ones in the evidence base.
Buyers should require a plan-level demonstration and written pricing before committing. The fit is weakest for small teams, budget-constrained buyers, and organizations that need transparent published pricing or independently validated measurement methodology.
How This Review Was Produced
This review synthesizes seven platform fit-research responses collected for the study "Best AI Search Visibility Partners for Measurement and Execution." Each platform evaluated Conductor against the same use case: measuring where a brand appears across AI systems, benchmarking competitors, analyzing recommendations and citations, mapping citation architecture, identifying why competitors outperform, and implementing changes. Two of the seven platforms named Conductor during the ranking stage; all seven produced fit assessments. The consensus index for this study is available at AI Search Visibility Partners for Measurement and Execution, and the broader category directory is at ai search geo agencies.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-18. DeepSeek's research date was 2026-02-20; all other platforms reported 2026-09-18. 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. Company-owned citations materially outnumber independent citations in this evidence base, so company claims should not be described as independently verified.
DeepSeek's research was conducted with search disabled, so its findings are model-reported rather than retrieved. No-search model claims require explicit verification before being described as current facts.
Platforms disagreed on product naming, pricing, engine coverage, and data collection methodology. This review describes those conflicts rather than resolving them. Missing research was not interpreted as disagreement.
Explore more ai search geo agencies guidance in the category directory.
Sources
Company-Owned Sources
- AI Visibility Platform | Analyze and Amplify Your Brand in AI Search: https://amplitude.com/ai-visibility
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Additional AI research evidence95 records
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_1
- AI research evidence record google:1.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_7
- AI research evidence record grok:3
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_9
- AI research evidence record google:1.1.1
- AI research evidence record grok:2
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:cit_1
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record google:1.3.2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:cit_2
- AI research evidence record anthropic:cit_16
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record google:1.2.1
- AI research evidence record google:1.2.2
- AI research evidence record grok:4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:conductor_website
- AI research evidence record anthropic:cit_19
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_21
- AI research evidence record anthropic:cit_6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:cit_1
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_7
- AI research evidence record anthropic:cit_6
- AI research evidence record anthropic:cit_8
- AI research evidence record anthropic:cit_9
- AI research evidence record anthropic:cit_10
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:cit_14
- AI research evidence record anthropic:cit_15
- AI research evidence record anthropic:cit_5
- AI research evidence record openai:c1
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- AI research evidence record openai:c1
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- AI research evidence record anthropic:cit_9
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_5
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- AI research evidence record perplexity:c4
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- AI research evidence record anthropic:cit_17
- AI research evidence record anthropic:cit_20
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- AI research evidence record anthropic:cit_10
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record perplexity:c4
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Additional AI research evidence95 records
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_1
- AI research evidence record google:1.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_7
- AI research evidence record grok:3
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_9
- AI research evidence record google:1.1.1
- AI research evidence record grok:2
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:cit_1
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record google:1.3.2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:cit_2
- AI research evidence record anthropic:cit_16
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record google:1.2.1
- AI research evidence record google:1.2.2
- AI research evidence record grok:4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:conductor_website
- AI research evidence record anthropic:cit_19
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_21
- AI research evidence record anthropic:cit_6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:cit_1
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_7
- AI research evidence record anthropic:cit_6
- AI research evidence record anthropic:cit_8
- AI research evidence record anthropic:cit_9
- AI research evidence record anthropic:cit_10
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:cit_14
- AI research evidence record anthropic:cit_15
- AI research evidence record anthropic:cit_5
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record google:1.2.2
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record anthropic:cit_9
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_5
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record google:1.3.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_18
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record anthropic:cit_20
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:meev_tracker
- AI research evidence record kimi:se_visible
- AI research evidence record kimi:viali_tracking
- AI research evidence record kimi:reachllm_platform
- AI research evidence record kimi:amplitude_visibility
- AI research evidence record kimi:centium_platform
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_10
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record perplexity:c4
Other Sources
- Conductor Pricing 2026: Custom Plans, No Free Trial | TMB: https://thatmarketingbuddy.com/pricing/conductor
- Conductor Review 2026: Enterprise Answer Engine Optimization: https://thatmarketingbuddy.com/software/conductor
Additional AI research evidence95 records
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_1
- AI research evidence record google:1.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_7
- AI research evidence record grok:3
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_9
- AI research evidence record google:1.1.1
- AI research evidence record grok:2
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:cit_1
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record google:1.3.2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:cit_2
- AI research evidence record anthropic:cit_16
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record google:1.2.1
- AI research evidence record google:1.2.2
- AI research evidence record grok:4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:conductor_website
- AI research evidence record anthropic:cit_19
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_21
- AI research evidence record anthropic:cit_6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:cit_1
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_3
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_7
- AI research evidence record anthropic:cit_6
- AI research evidence record anthropic:cit_8
- AI research evidence record anthropic:cit_9
- AI research evidence record anthropic:cit_10
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:cit_14
- AI research evidence record anthropic:cit_15
- AI research evidence record anthropic:cit_5
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record google:1.2.2
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record anthropic:cit_9
- AI research evidence record anthropic:cit_4
- AI research evidence record anthropic:cit_5
- AI research evidence record anthropic:cit_11
- AI research evidence record anthropic:cit_12
- AI research evidence record google:1.1.4
- AI research evidence record google:1.3.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_18
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record anthropic:cit_20
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:meev_tracker
- AI research evidence record kimi:se_visible
- AI research evidence record kimi:viali_tracking
- AI research evidence record kimi:reachllm_platform
- AI research evidence record kimi:amplitude_visibility
- AI research evidence record kimi:centium_platform
- AI research evidence record anthropic:cit_20
- AI research evidence record anthropic:cit_10
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record anthropic:cit_17
- AI research evidence record perplexity:c4
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 44
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
17 independent · 25 company-owned · 2 unclear
Evidence support
27 direct · 11 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 a9950110ea24667bdbf6b45cb50e65876fbbace23144a91a9c93efd15e3a04ca