Core Features

URL Auto-Detection

When you enter a URL, the AEO Tool automatically analyses the page to detect the most likely target keyword, industry vertical, and relevant competitor URLs — so you don't have to research these before running an analysis.

What gets auto-detected

Primary keyword

The tool analyses your page title, H1, meta description, and opening paragraphs to determine the most likely query you're targeting. It uses semantic analysis to identify the question or topic — not just the most frequent word.

The auto-detected keyword is your page's most likely AEO target. If it's wrong (e.g., it detects a brand term when you're targeting an informational query), manually replace it before running the analysis.

Industry / vertical

The page content is classified into one of 25+ industry categories including SaaS, ecommerce, healthcare, finance, legal, education, travel, real estate, and more. Industry affects how recommendations are framed and which competitor benchmarks are applied.

Industry detection is accurate in ~85% of cases. For niche verticals (e.g., B2B manufacturing, specialist professional services), you may need to manually select the closest category.

Competitor URLs

Based on your detected keyword and industry, the tool identifies up to 3 competitor pages that AI engines commonly cite for similar queries. These are surfaced as suggestions — you choose whether to include them in the competitor gap analysis.

Auto-detected competitors are sourced from AI engine citation patterns and search rankings. They may not be your direct business competitors — they're the pages you're competing with for AI answer placement.

Editing auto-detected values

After the tool detects these values, they appear in editable fields before you run the analysis. You can:

  • Change the keyword to a more specific or different target query
  • Switch the industry category from a dropdown
  • Accept, reject, or replace each competitor URL individually
  • Add your own competitor URLs that weren't auto-detected
Best results
The single biggest improvement you can make before running an analysis is to verify the keyword is exactly the question your target user would ask an AI. "best project management software for remote teams" produces better recommendations than "project management software".

How detection works (technical)

The auto-detection pipeline runs in the background as soon as you paste a URL:

  1. The page is fetched and HTML is parsed (JavaScript-rendered content is supported via headless rendering).
  2. Title tag, meta description, H1, H2s, and the first 500 words of body content are extracted.
  3. An LLM classifies the primary topic as a natural-language question (the 'target query').
  4. A separate classifier identifies the industry from a predefined taxonomy.
  5. Competitor detection uses a lookup of common AI citation patterns by keyword + industry pair, supplemented by a live SERP sample.
Note
Detection runs in parallel with page fetch. Most URLs complete detection in 3–8 seconds. Pages behind Cloudflare or aggressive bot protection may fail to fetch — use keyword-only mode in that case.