Author name: Pierre

Uncategorized

Peec AI vs Otterly AI vs Profound: Which AEO Tool Fits Your Team in 2026?

Uncategorized /

Which AEO tracking tool should you choose in 2026? Otterly AI is the most accessible entry point at $29/month with broad platform coverage and a GEO audit tool. Peec AI offers deeper analytics and sentiment tracking from $89/month with unlimited seats. Profound is the enterprise standard at $399/month (real entry point) with exclusive prompt volume data and content generation. The right choice depends on your team size, budget, and whether you need monitoring only or monitoring plus execution. This comparison is based on hands-on evaluation of all three platforms, verified pricing as of April 2026, and cross-referenced user feedback from G2, independent reviews, and practitioner communities. AEO Guide may earn a commission from tools that offer affiliate programs. This does not influence our rankings or recommendations. Where no affiliate program exists, we say so. Why These Three Tools and Not Others The AEO tracking market exploded from near-zero to an estimated $1.2-2 billion in 2026. Dozens of tools now compete for attention. We selected Peec AI, Otterly AI, and Profound because they represent three distinct tiers that most B2B marketers will evaluate: Otterly AI is the budget-friendly starting point with the lowest barrier to entry. Peec AI is the mid-market workhorse for teams that need clean data without enterprise complexity. Profound is the enterprise benchmark that Fortune 500 brands use for board-level reporting. Other tools exist (Scrunch AI, Semrush AI Toolkit, Ahrefs Brand Radar, Quattr), and they are covered in our complete AEO tools comparison. This article focuses on the three-way decision most teams face when they graduate from “should we track AI visibility?” to “which tracker do we buy?” Peec AI: Mid-Market Monitoring With Clean Analytics What it does Peec AI is a Berlin-based AI search analytics platform that tracks brand visibility, position, and sentiment across AI engines. Founded in early 2025, it raised $29 million and reached a $100 million+ valuation by November 2025. Customers include Axel Springer, Chanel, n8n, ElevenLabs, and TUI. The platform tracks three core metrics at the prompt level: how often your brand is mentioned (visibility), where you appear in the answer (position), and whether the framing is positive, neutral, or negative (sentiment). The Actions feature, launched in early 2026, converts citation gaps into a scored task queue, clustering opportunities into owned media and earned media categories. What it tracks Base plans include daily tracking across ChatGPT, Perplexity, and Google AI Overviews. Claude, Gemini, DeepSeek, and Grok are available as add-ons at $20-30/month each. Coverage spans 115+ languages and multiple regions. Pricing (April 2026) Peec AI uses a credit-based model. One prompt tracked across one model for one day equals one credit. Starter: $89/month. Minimum 900 credits (roughly 10 prompts across 3 models). 7-day free trial. Pro: $212/month. Expanded prompt capacity. Growth: $530+/month. Looker Studio connector, advanced reporting. Enterprise: Custom pricing. All plans include unlimited seats, which is a genuine differentiator at this price range. Adding extra AI engines pushes costs up quickly. Pros Sentiment analysis that no competitor at this price tier matches. You see not just whether you are cited, but how you are framed. Unlimited seats on all plans. Agencies and larger teams avoid per-user billing surprises. The Actions feature bridges the gap between “here is your data” and “here is what to do next” with scored opportunities. Clean, uncluttered UI. Multiple reviewers describe it as the least overwhelming AEO dashboard on the market. Direct Slack access to the founding team on all plans. Consistently praised in every independent review. Cons No content creation or optimization tools. It diagnoses problems but does not fix them. No AI crawler analytics. You cannot see how GPTBot, ClaudeBot, or PerplexityBot crawl your site. No traffic or ROI attribution. You know you are cited, but not how many visitors that generates. Add-on pricing for extra AI engines adds up. Tracking 6 engines instead of 3 can double your monthly bill. No SOC 2 certification. Enterprise procurement teams in North America may require this. Peec AI is the best option for mid-market teams and agencies that already have content and SEO resources in place and need clean visibility data to guide strategy. It is a thermometer, not a doctor. If your team can act on data without hand-holding, the price-to-value ratio is strong. Otterly AI: The Most Accessible Entry Point What it does Otterly AI is a GEO monitoring platform launched in October 2024 that grew to 20,000+ users and earned Gartner Cool Vendor recognition in 2025. It focuses on making AI visibility tracking accessible to teams of any size, with a setup process that takes under 10 minutes. The standout feature is the GEO Audit tool, which evaluates 25+ on-page factors and delivers SWOT-style recommendations. The AI Keyword Research Tool converts existing keywords into conversational prompts that match real user behavior in AI search. The Brand Visibility Index provides a single KPI for share of AI voice. What it tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot. Gemini and AI Mode are add-ons on lower tiers. Coverage spans 50+ countries. Pricing (April 2026) Lite: $29/month. 15 search prompts. Free trial available. Standard: $189/month. 100 search prompts. Premium: $489/month. 400 search prompts. Enterprise: Custom pricing. SSO, advanced onboarding. Add-ons: extra 100 prompts for $99. Gemini add-on: $59 (Standard) to $149 (Premium). Also available through the Semrush App Center at slightly different pricing. Pros Lowest entry price in the AEO market at $29/month. No other serious tool comes close. Full free trial before committing. Most enterprise competitors require a demo call just to see the product. GEO Audit with 25+ on-page factors is genuinely useful. Reviewers consistently call it the most detailed structural analysis at this price tier. Semrush App Center integration. Teams already in the Semrush ecosystem add Otterly without switching contexts. Share of AI Voice metric provides a single, boardroom-friendly number for reporting. Strong integrations: HubSpot, Trello, Slack, CSV exports. Cons Weekly data refresh on lower tiers, not daily. In a market where 70% of AI Overview citations change every

AEO Fundamentals

AEO Content Checklist: 15 Points to Optimize Any Page for AI Engines

AEO Fundamentals /

AEO Content Checklist: 15 Points to Optimize Any Page for AI Engines What is an AEO content checklist? An AEO content checklist is a structured set of on-page criteria that increase the probability of your content being selected and cited by AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini — when they generate responses to user queries. If you have ever wondered why a competitor’s page gets cited in AI answers while yours does not, the gap is rarely about writing quality. It is almost always structural. AI engines do not reward prose — they reward clarity, specificity, and the right technical signals. This checklist gives you a concrete, repeatable process to close that gap on any page you publish. Work through these 15 points in order. Some take two minutes. Some require a genuine rewrite. All of them matter. The Foundation: Structure AI Engines Can Parse 1. Lead with the answer The single most impactful change you can make to any page is moving the answer to the first paragraph. AI engines retrieve content by relevance and evaluate it by how directly it addresses the query. A page that makes the reader wade through context and background before delivering the answer trains AI models to look elsewhere. State what the page is about and what the reader will learn in the first 40 to 60 words. Then expand. The inverted pyramid is not a new idea — it is just more consequential now than it was in the SEO era. 2. Include at least one explicit definition block AI engines are entity-oriented. When they encounter a page that defines a concept clearly — what it is, what it does, and how it relates to adjacent concepts — they are significantly more likely to use that page as a citation source for definition queries. Write a definition block for the primary concept on every page. Format it so it reads as a standalone unit: a short paragraph that could be extracted and quoted verbatim. Do not bury the definition in the middle of a longer paragraph. 3. Structure the page with descriptive H2s and H3s Heading structure does two things for AEO. First, it gives AI crawlers a navigational map of your content, which improves retrieval accuracy. Second, many AI engines use headings as extraction anchors — the content immediately following an H2 or H3 is more likely to be pulled as a citeable unit than content in the middle of a long section. Write headings that describe what the section answers, not just what it covers. “How to add FAQPage schema to WordPress” is more extractable than “Schema implementation.” Match your headings to the natural language queries your audience types into AI tools. 4. Keep paragraphs short and self-contained A paragraph that makes one clear point is more useful to an AI engine than a paragraph that makes three connected points. When an AI system extracts a section of text to include in a generated answer, it pulls a unit of meaning. Long, multi-idea paragraphs get truncated or skipped. Four to six sentences per paragraph as a working maximum. Each paragraph should be readable in isolation without requiring context from the paragraph before it. 5. Use numbered or bulleted lists for processual content Any content that describes steps, criteria, comparisons, or collections performs better in AI search when formatted as a list rather than prose. Perplexity in particular shows a strong preference for structured list content when answering “how to” and “what are” queries. The formatting rule is simple: if you can reasonably number it, number it. Reserve prose for context, explanation, and argument. Use lists for the content itself. Content Depth: What AI Engines Evaluate 6. Answer the primary question and the three most likely follow-up questions A single well-answered question might earn you one citation. A page that anticipates what the reader asks next — and answers those questions too — builds topical depth that AI engines associate with expertise. Perplexity and ChatGPT both show a preference for sources that cover a topic comprehensively rather than sources that answer one narrow question well. Before you publish, identify the three questions a reader would naturally ask after reading your main answer. Add a section, a callout, or an FAQ block that addresses each one. 7. Include specific data, statistics, or named examples Vague claims do not get cited. Specific, verifiable ones do. “Many marketers report improved AI visibility after implementing schema” is ignorable. “Otterly.ai’s 2026 citation study across 1M+ AI responses found that pages with FAQPage schema were cited 34% more frequently than equivalent pages without it” is quotable. Every major claim on your page should be supported by a specific figure, a named source, or a concrete example. If you do not have proprietary data, cite credible third-party research directly — with attribution. AI engines weight pages that cite sources more heavily than pages that assert without evidence. 8. Establish entity clarity throughout the page Entity clarity means making unambiguous what every important noun on your page refers to. “The tool” is ambiguous. “Otterly.ai” is not. “The platform” requires context. “Perplexity AI’s citation tracking feature” does not. This is not about keyword repetition — it is about semantic precision. AI language models build knowledge graphs from text. Pages that name entities clearly and consistently give those models better signal to build on. Go through your draft and replace every ambiguous pronoun or generic noun with the specific entity it refers to. 9. Cover the topic at the depth the query deserves There is no universal word count target for AEO. A page answering “what is FAQPage schema” does not need 3,000 words. A page covering “how to build a complete AEO content strategy for a B2B SaaS company” probably does. The correct depth is the minimum required to answer the topic authoritatively, with nothing important missing. What you should avoid is padding. AI engines — particularly Claude and ChatGPT — have been trained on

Scroll to Top