Multi-platform AI recommendation research
One marketing need.
Multiple leading AI platforms.
One transparent consensus.
Research on the agencies, platforms, and tools AI systems put forward. See where they agree, where they differ, and why.
Research before opinion
We measure what AI systems actually recommend. The underlying dataset determines the results, with one vote per platform and commercial relationships outside the ranking calculation.
Inside the methodologyA shared question. Independent responses.
Our standard research universe. Each study reports its actual usable responses.
Publication standard
As part of the launch of AI Marketing Consensus Index, our affiliated research team at CiteWorks Studio contacted approximately 100 of the third-party articles and websites that appeared most frequently among citations in our AI marketing research. Eight publishers responded. Seven of those eight offered some form of paid inclusion, placement, or participation.
This was a limited outreach study and should not be interpreted to mean that the same percentage applies to all publishers or citations. But the finding reinforced one of the principles behind AI Marketing Consensus Index:
You cannot purchase a ranking, recommendation, score, or position on this site.
Companies appear in our research because they are identified and recommended through the AI systems and methodology we track. If your company is not included today, the way to get included is to earn greater visibility and recommendation across the underlying AI ecosystem. Advertising supports this research, but advertising never affects our rankings, methodology, scores, inclusion decisions, or editorial conclusions.
Find your marketing need
Start with the problem you need to solve.
Find agencies for generative search strategy, AI visibility, and implementation.
02Compare platforms that track where brands appear across AI answers.
03Understand competitive benchmarks, search audits, and market signals.
04Explore source mapping, citation intelligence, and authority-building services.
05Research software for content optimization and generative search discovery.
From the publication
Profound leads this 7-platform AI consensus index with 6 of 7 mentions at an average position of 1.5, followed by Semrush and Scrunch. The ranking covers 10 qualifying enterprise AI visibility and LLM monitoring providers.
7 usable AI responses
Profound leads this 7-platform AI consensus index for AI visibility measurement and GEO/AEO strategy, named by 5 of 7 platforms at an average position of 1.2. Otterly.AI and Peec AI are the strongest self-serve alternatives, while Semrush and Ahrefs suit teams folding AI visibility into an existing SEO stack.
7 usable AI responses
Profound is the consensus leader for AI Visibility Solutions for Citation Architecture and Recommendation Intelligence, named by 5 of 7 platforms with an average listed position of 1.6 and a best position of 1.
7 usable AI responses
Profound is the consensus leader for understanding why competitors get recommended, named by 6 of 7 platforms. Peec AI offers source- and URL-level gap explanations at transparent self-serve pricing, while Scrunch leads for citation-level analysis by URL, domain, persona, and funnel stage.
7 usable AI responses
Profound leads a 7-platform AI consensus index for recommendation and citation data, named by 6 of 7 platforms at an average position of 1.17. Peec AI and OtterlyAI are the strongest alternatives for mid-market and low-cost citation monitoring.
7 usable AI responses
Profound is the consensus leader for historical trend tracking in AI visibility, named by 6 of 7 platforms at an average listed position of 1.5. Scrunch, Semrush, and OtterlyAI follow for citation-level date-range analysis, existing SEO workflows, and self-serve daily prompt monitoring.
7 usable AI responses
Profound is the consensus leader for tracking AI recommendation share, named by 6 of 7 platforms. Peec AI is the strongest alternative for prompt-level share-of-voice, while Semrush and SE Ranking fit buyers who want AI tracking inside an existing SEO workflow.
7 usable AI responses
Profound leads the 7-platform AI consensus index for monitoring high-intent commercial prompts, named by 6 of 7 platforms at an average position of 1.0. Peec AI, Semrush, Otterly.AI, AthenaHQ, Scrunch AI, and Ahrefs follow as strong alternatives for specific buyer needs.
7 usable AI responses
Profound is the consensus leader for AI visibility platforms built around source intelligence, named by 5 of 7 platforms at an average listed position of 1.6. Peec AI and Otterly AI tie on mentions but rank lower, making them the strongest alternatives for multi-project teams and lower-cost self-serve buyers.
7 usable AI responses
Profound is the consensus leader for competitor citation analysis, named by all seven platforms studied (100.0% share, average listed position 2.57, best position 1). It is the only entity in this index with unanimous platform mentions, and platforms consistently describe it as the enterprise-oriented option for…
7 usable AI responses
Profound is the consensus leader for citation architecture analysis, named by all six AI platforms studied and ranked first by four.
6 usable AI responses
AthenaHQ leads this 7-platform AI consensus index for citation intelligence and source and domain tracking, named by 6 of 7 platforms at an average position of 1.33. Semrush and Peec AI follow, with fit guidance for SEO suites, prompt-level analysis, and low-cost entry.
7 usable AI responses
Profound leads this 7-platform AI consensus index for citation tracking, named by 6 of 7 platforms at an average position of 1.17. Peec AI and OtterlyAI tie on mentions, while Semrush suits buyers already running an SEO workflow.
7 usable AI responses
Across the publication
Brands appearing most consistently and prominently across eligible research categories. Scores combine recommendation frequency and listed position within each category; they are not a universal best-fit or product-quality rating.
Based on 135 current studies across 5 eligible categories. Updated .
Read the signals clearly
An AI platform puts a company forward as a solution to the specific question.
A company appears in the response. That alone does not mean it is recommended.
A source is referenced in an answer. Citation presence does not prove causation or endorsement.
Human interpretation. Transparent interests.
AI Search & Visibility Research Reviewer. Review attribution appears only where a review has taken place. The role is to examine interpretation, context, and factual claims; the AI data determines the recommendation counts.
About Mark and his roleNo. Affiliate, advertising, and related-business relationships do not create recommendation votes. Related companies can rank poorly or be absent from a study.
Yes. Each study is a dated snapshot. New models, prompts, and company offerings may produce different results. Historical research should be read with its original date and denominator.
The network of first-party and third-party sources appearing around AI answers and recommendations. We distinguish source patterns from evidence of causation.
