Company research
Company-by-company analysis, with the research and limitations in view.
254 reviews
Ahrefs is a good fit for broad, comparative AI citation-share intelligence, with Brand Radar tracking mentions, citations, AI Share of Voice, cited pages, and competitors across six AI indexes. It is modeled, search-backed measurement, not a census of real user conversations, and public pricing is inconsistent.
7 usable AI responses
Semrush is a good fit for companies that need citation share, cited-page visibility, competitor benchmarking, prompt-level gaps, platform comparisons, and historical AI-search tracking combined with conventional SEO workflows.
7 usable AI responses
OtterlyAI is a good fit for teams needing self-serve, prompt-based AI citation monitoring with domain- and URL-level source data, competitor comparisons, and cross-engine visibility. Base plans cover four engines; Gemini, Claude, and Google AI Mode are paid add-ons.
7 usable AI responses
Profound is a strong fit for companies that need structured AI citation-share intelligence — domain- and URL-level citation data, competitor benchmarking, source categorization, and historical trend tracking across answer engines.
7 usable AI responses
Similarweb is a good fit for broad AI-search visibility, competitive benchmarking, prompt and citation tracking, and optimization workflows, but only a mixed fit for buyers whose primary requirement is a rigorously separated recommendation-share metric.
7 usable AI responses
Conductor is a mixed fit for recommendation share intelligence. It separates mention and citation share of voice and covers multiple AI engines, but public documentation does not clearly define recommendation frequency, recommendation position, or a recommendation-share metric distinct from mentions and citations.
7 usable AI responses
Goodie is a good, but not fully verified, fit for AI recommendation-share tracking. Two of seven platforms named it, at an average rank of 4.5. Its multi-engine monitoring and benchmarking are strengths, but documentation does not confirm recommendation share as a distinct, auditable metric.
7 usable AI responses
Ahrefs is a mixed fit for AI recommendation-share tracking. Brand Radar covers mentions, citations, impressions, and AI Share of Voice across major AI platforms, but public documentation does not clearly define a dedicated recommendation-share metric or recommendation position.
7 usable AI responses
Peec AI is a good fit for monitoring recommendation visibility and competitive position across AI-generated answers, but it is not a fully verified recommendation-share standard. Three of seven platforms named it during ranking, and lower tiers cap model selection at three.
7 usable AI responses
AthenaHQ is a good fit for cross-platform AI search visibility, competitor share-of-voice monitoring, and prompt-level optimization, but public materials do not fully define how recommendation share is separated from mention share, and independent validation is largely absent.
7 usable AI responses
Semrush finished third overall for AI recommendation-share tracking, named by five of seven platforms. It pairs AI visibility metrics with its SEO ecosystem, but no public material clearly documents a distinct recommendation-share metric separate from mentions.
7 usable AI responses
Otterly is a mixed-to-good fit for AI recommendation share tracking. Five of seven AI platforms named it, citing daily multi-engine prompt monitoring, citation tracking, and competitor ranking. Its main gap: no clearly defined standalone recommendation-share metric.
7 usable AI responses
