AEOCrawler and Otterly solve different problems in AI search optimization. Otterly monitors how your brand appears in AI-generated answers after content is published — tracking mentions, sentiment, and share of voice across multiple AI engines. AEOCrawler scores your content before publication against 9 citability dimensions, so you can optimize for AI citation proactively. Many teams benefit from using both.

If you are evaluating these two tools, the key question is not which one is better — it is which problem you need to solve first. This comparison covers what each tool does, where each one excels, and how they fit together in a complete AEO strategy.

Quick Comparison Table

Feature AEOCrawler Otterly
Primary approach Proactive content scoring Reactive brand monitoring
When it works Before publishing After publishing
Core question answered "Will AI cite this content?" "Is AI mentioning our brand?"
Pricing Free / $19 / $59 / $179 per month From $29/mo
AI engines covered ChatGPT, Perplexity, Google AI Overviews, Claude ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot, AI Mode
Scoring dimensions 9 dimensions N/A
Brand monitoring Not primary focus Core feature
Share of voice tracking No Yes
Sentiment analysis No Yes
Content recommendations Yes, per-page General insights
Citation verification Yes (Accelerator+) — queries Perplexity & ChatGPT No
Best for Content teams optimizing before publish Marketing teams tracking brand visibility
Free tier Yes, Explorer plan 14-day trial

The table makes the difference clear: AEOCrawler is a content optimization tool. Otterly is a brand monitoring tool. They occupy different positions in the proactive vs reactive AEO spectrum.

What Otterly Does Well

Otterly is a well-built monitoring platform that deserves its reputation. Here is what it does effectively:

Multi-engine AI monitoring. Otterly tracks brand visibility across ChatGPT, Google AI Overviews, Perplexity, Gemini, Microsoft Copilot, and Google AI Mode — one of the broadest engine coverage sets in the AEO monitoring category.

Citation and mention tracking. Otterly logs when and where AI engines mention your brand, including the context of each mention. You can see whether you are cited as a recommendation, listed among alternatives, or described in passing — and how that changes over time.

Country-level granularity. AI answers vary by geography. Otterly lets you track visibility by country, which is critical for companies operating in multiple markets.

GEO experiments. Otterly runs weekly Generative Engine Optimization experiments, testing how changes in content or positioning affect AI-generated responses. This gives marketing teams data-driven insights into what shifts AI behavior.

Free tools and educational resources. Otterly offers free tools for quick visibility checks and publishes email courses on AI search optimization, lowering the barrier for teams exploring AEO for the first time.

Industry recognition. Otterly was named a Gartner Cool Vendor, reflecting the quality of their approach and the market relevance of AI search monitoring as a category.

Otterly is a strong product. If your primary need is understanding how AI engines perceive and present your brand today, it delivers.

What AEOCrawler Does Differently

AEOCrawler sits on the other side of the proactive vs reactive divide. Instead of monitoring what AI engines say about you after the fact, it scores your content before publication so you can optimize for AI citability while changes are still free.

Pre-publication scoring. AEOCrawler analyzes a page or draft before it goes live and tells you how likely AI engines are to cite it. This means your content is already optimized for AI citation by the time it reaches the index — you are not publishing first and hoping for the best.

9-dimension scoring framework. Rather than producing a single aggregate score, AEOCrawler evaluates content across 9 specific dimensions that map to how AI engines select sources:

  • Direct Answer Clarity (20%) — Does the content contain a clear, extractable answer block in the first 60 words?
  • Citation Potential (18%) — Does the content contain original data, unique frameworks, or source-worthy information that AI engines would want to reference?
  • Entity Clarity (12%) — Is the brand, product, and terminology used consistently, so AI engines can confidently connect the content to the right queries?
  • Structured Data (12%) — Does the page include relevant schema markup (FAQPage, Article, HowTo) that gives AI engines machine-readable context?
  • Query Coverage (10%) — Does the content address the specific question variations users ask AI engines?
  • Semantic Coverage (10%) — Does the content demonstrate depth and topical authority on the subject?
  • Conciseness (7%) — Is the information density high, with every paragraph earning its place? Or is the content padded with filler that dilutes the signal?
  • Readability (6%) — Is the content structured with clear headings, short paragraphs, lists, and logical flow that both humans and AI can parse easily?
  • Content Freshness (5%) — Is the content recently updated? Pages updated within 2 months receive ~28% more AI citations. AEOCrawler detects freshness via 4 methods — no competitor scores this.

Each dimension gets its own score, so you know exactly what to fix. A score of 62/100 is not actionable. "Your Direct Answer Clarity is 38/100 because your first paragraph is 160 words of context before stating a single fact" is actionable.

Per-page recommendations. For each weak dimension, AEOCrawler generates specific, implementable suggestions — not generic advice like "improve your content structure," but targeted instructions like "add a 40-60 word direct answer block after your H1" or "your entity name appears in 3 variations — consolidate to one."

Content workflow integration. AEOCrawler is designed to fit into the editorial process. Content teams score drafts, iterate based on recommendations, and re-score before publishing. This turns AEO from a quarterly reporting exercise into a standard editorial quality gate — similar to how spell-check or readability scoring already works in content workflows.

Citation Verification (Accelerator+). After scoring content, AEOCrawler can verify whether AI search engines actually cite it. The system generates 5 search queries from the page content, queries both Perplexity and ChatGPT in parallel, and checks whether the target URL appears in cited sources — returning a Citation Score (0-100) with per-platform breakdown. Otterly does not offer real-time citation proof against live AI engines. This bridges the gap between proactive scoring and reactive monitoring: you can score your content, optimize it, publish it, and then verify that AI engines are actually citing it.

When to Choose Otterly

Otterly is the right choice when your primary need is visibility intelligence:

  • You want to track how AI engines mention your brand across ChatGPT, Google AI Overviews, Perplexity, Gemini, and Copilot — and how that changes over time.
  • You need share-of-voice reporting to understand your position relative to competitors in AI-generated answers.
  • Your focus is brand monitoring, not content creation. Your marketing team needs to report on AI visibility metrics and track trends.
  • You need multi-engine sentiment tracking to understand not just whether AI mentions you, but how it describes you.
  • You operate in multiple geographies and need country-level visibility data.

Otterly answers the question: "Where do we stand in AI search today?"

When to Choose AEOCrawler

AEOCrawler is the right choice when your primary need is content optimization:

  • You want to optimize content before publishing rather than checking whether it worked after the fact.
  • Your focus is content quality for AI citability. Your content team produces blog posts, landing pages, and guides that need to be structured for maximum AI citation probability.
  • You need per-page scoring with specific recommendations — not just a pass/fail grade, but exactly which dimensions are weak and what to do about them.
  • You want to build AEO into your content workflow as a standard editorial step before every publish.
  • You are starting with content optimization before investing in monitoring. Improve the quality of what you publish first, then measure results.

AEOCrawler answers the question: "Will AI engines cite this content?"

Can You Use Both?

Yes. And for most teams with a serious AEO strategy, using both is the ideal approach.

The two tools serve different stages of the content lifecycle. AEOCrawler operates before publication. Otterly operates after. They do not overlap — they complement each other.

The workflow:

  1. Score with AEOCrawler before publishing. Run your draft through 9-dimension scoring. Fix weak areas — add direct answer blocks, tighten entity consistency, improve information density, add schema markup. Publish content already optimized for AI citation. Then verify with Citation Verification that AI engines are actually citing your URL.

  2. Monitor with Otterly after publishing. Track whether AI engines are citing your content. Monitor share of voice, sentiment, and competitive visibility.

  3. Feed monitoring data back into scoring. When Otterly reveals queries where competitors are cited and you are not, take those queries back to AEOCrawler. Score new or improved content proactively, then publish.

This creates a feedback loop: score, publish, monitor, improve, repeat. Together, they form a complete AEO system.

Frequently Asked Questions

Is AEOCrawler a replacement for Otterly?

No. AEOCrawler and Otterly solve different problems. AEOCrawler scores content for AI citability before publication. Otterly monitors brand visibility in AI answers after publication. They serve different stages of the content lifecycle and work well together in a combined AEO workflow.

Does Otterly offer content scoring?

Otterly's primary function is AI search monitoring — tracking brand mentions, share of voice, and sentiment across AI platforms. It provides general insights based on monitoring data, but it does not offer the per-page, multi-dimensional content scoring and specific recommendations that characterize proactive AEO tools like AEOCrawler.

What are AEOCrawler's 9 scoring dimensions?

AEOCrawler evaluates content across 9 dimensions that map to how AI engines select sources to cite: Direct Answer Clarity (20%), Citation Potential (18%), Structured Data (12%), Entity Clarity (12%), Query Coverage (10%), Semantic Coverage (10%), Conciseness (7%), Readability (6%), and Content Freshness (5%). Each dimension gets an individual score with specific recommendations for improvement.

Which tool is better for small content teams?

For small content teams focused on publishing AI-optimized content, AEOCrawler's free Explorer plan provides immediate value — you can score content before publishing without a budget commitment. Otterly's monitoring becomes more valuable once you have a body of published content to track and are ready to invest in ongoing visibility intelligence.

Can I start with one tool and add the other later?

Yes, and this is the recommended approach for most teams. If your priority is improving content quality, start with AEOCrawler to build AEO into your editorial workflow. If your priority is understanding your current AI visibility, start with Otterly to establish a baseline. In either case, adding the second tool later creates the complete proactive-plus-reactive AEO stack. For more on this framework, see the full guide on proactive vs reactive AEO.

What to Do Next

Choosing between AEOCrawler and Otterly depends on where you are in your AEO journey. If you need to understand how AI engines see your brand today, Otterly provides that visibility. If you need to make your content more citable before you publish it, AEOCrawler gives you the scoring and recommendations to do that systematically.

The strongest approach is both — but start where the biggest gap is. For most content teams, that means scoring first. You cannot monitor your way to better content. You need to build it.

Score your content for free →