How Gaplens Works

Gaplens finds the gap between what your website covers and what people actually ask AI about your category. Traditional SEO tools tell you which keywords you rank for. Gaplens tells you which questions your content doesn’t answer — the ones AI is answering from your competitors’ sites instead.

The core concept is bridge questions: the questions people ask between initial research (“What is project management software?”) and taking action (“Acme PM pricing”). Questions like “Can I migrate from Asana?” or “How long does onboarding take?” These decision-stage queries are exactly what people now ask AI assistants — and if your site doesn’t answer them, AI finds the answer elsewhere.

An audit produces three things:

• Bridge question coverage: Which questions your site answers, which it partially covers, and which are complete gaps.
• Extraction readiness scores: A 0-100 score for each page based on how easily AI can extract answers from your content structure.
• Prioritized recommendations: Specific actions your team can take, ranked by impact — including a Top 5 Actions list to focus on first.

When you enter a URL, Gaplens first looks for a sitemap (sitemap.xml). If one exists, it uses the sitemap to discover pages. If not, it starts from the URL you provide and follows internal links to find pages across your site.

For each page, the crawler extracts:

• Headings: The full heading hierarchy (H1 through H6) that reveals how content is organized.
• FAQ structure: Explicitly labeled question-and-answer sections that AI can extract directly.
• Lists and tables: Structured data formats that make content easier for AI to parse.
• Paragraphs and body content: The actual text that gets matched against bridge questions.

The crawler respects a 500ms delay between requests to avoid overloading your server. Pages are fetched server-side using the rendered HTML — the same way most AI crawlers access your content.

Limitations to know about: Content that requires JavaScript to render may not be fully visible to the crawler. Pages behind login walls, paywalls, or authentication cannot be analyzed. The crawl is limited to the pages discoverable through your sitemap or link structure, so deeply buried or orphaned pages may not be included.

Bridge questions are the questions people ask between their initial research and actually taking action. They sit in the decision stage — after someone knows what something is, but before they’re ready to commit.

Consider someone evaluating project management tools:

• Research: “What is project management software?” “Best PM tools 2025”
• Bridge: “Can I migrate from Asana?” “How long does onboarding take?” “What happens to my data if I cancel?”
• Action: “Acme PM pricing” “Acme PM sign up”

Most websites cover research (blog posts, guides) and action (pricing pages, sign-up flows). The bridge stage — where the actual decision happens — is almost always a content gap. And it’s exactly where AI assistants are now answering questions.

Gaplens provides industry-specific templates with common bridge question patterns for legal, healthcare, finance, SaaS, e-commerce, and education. Each industry has characteristic patterns — healthcare patients ask about treatment timelines and insurance coverage, SaaS buyers ask about migration and integrations, legal clients ask about case viability and costs. You can also define custom questions specific to your business.

Bridge questions follow recognizable patterns across industries: “Can I...?” (capability), “How long does...?” (timeline), “How much does...?” (cost), “What happens if...?” (risk), “Should I...?” (validation). These action-oriented patterns distinguish bridge questions from top-of-funnel informational queries.

Gaplens produces two types of scores: bridge question coverage and extraction readiness.

Bridge question coverage is the percentage of your bridge questions that your site answers. Each question is matched against your crawled pages using a two-layer system — first pattern matching with generated variants, then AI semantic analysis for cases where the answer exists but uses different language. A question is marked as “covered” when a page clearly answers it, not just mentions the topic.

Extraction readiness is a 0-100 score for each page based on structural signals that determine how easily AI can pull answers from your content:

• Direct answer leads (+30): Does the first paragraph under each heading directly answer the implied question?
• First paragraph quality (+20): Is the opening paragraph substantial enough to serve as a standalone answer?
• FAQ structure (+20): Does the page include explicitly structured question-and-answer sections?
• Lists and structured data (+10): Are there scannable formats AI can reference directly?
• Heading hierarchy (+10): Is the content organized with clear, descriptive headings?
• Content depth (+10): Is there enough substance to be a credible source?

A score above 60 means the page is well-structured for AI extraction. Below 30 means AI will likely skip it in favor of better-structured competitors. Between 30 and 60, the page has some extractable content but significant room for improvement.

Gaplens produces reports in two formats: an Excel workbook for detailed analysis and a PDF summary for sharing with stakeholders.

The Excel report includes five sheets:

• Executive Summary: Overall coverage percentage, average extraction score, and key findings at a glance.
• Bridge Question Gaps: Every bridge question with its coverage status and which page (if any) answers it.
• Content Inventory: Every crawled page with its extraction readiness score and structural breakdown.
• Recommendations: Specific, actionable improvements prioritized by impact.
• Page Details: Deep structural analysis of each page — headings, FAQ sections, content signals.

The PDF report is a 3-page summary highlighting the executive verdict, Top 5 Actions to take first, and key metrics. It’s designed for sharing with team leads or clients who need the big picture without the full data.

Top 5 Actions is the most actionable part of any report — five specific recommendations ranked by impact that your team can start on immediately. These are pulled from the full recommendations and represent the changes most likely to improve your AI visibility.

You can also generate shareable links for completed audits, giving stakeholders read-only access to the full results without needing a Gaplens account.