Services / Competitive Intelligence

AI Competitive Intelligence for Agencies

Find out who AI platforms cite instead of your client, across which platforms, for which queries — and exactly why those competitors are being selected.

Most agencies know their clients' Google competitors. They have zero visibility into who dominates AI-generated recommendations. We map the AI citation landscape and tell you what to do about it.

40
Sessions per query
4
AI platforms
10
Sessions each
3+
Query variations

The Problem

The Blind Spot in Agency Competitive Analysis

When someone asks ChatGPT to recommend a marketing agency, law firm, or SaaS tool, the answer includes citations. Those citations are the new competitive battlefield — and most agencies have no idea who's winning it.

Traditional tools (SEMrush, Ahrefs, Moz) show Google rankings. They don't show who ChatGPT recommends, who Perplexity cites, or who Claude references. The AI competitive landscape is often completely different from the SERP landscape.

Our research confirms this: Google top-3 vs. AI citation overlap is just 6.8% for ChatGPT and 32% for Perplexity at the URL level — but domain-level overlap reaches 28.7–49.6%. AI platforms draw from the same trusted domains, but pick different pages.

Process

How It Works

1

Query Generation

Our query generator ingests your client's Google Search Console and Bing Webmaster Tools data, classifies each keyword by intent (SERVICE, INFORMATIONAL, BRANDED, NAVIGATIONAL), and produces 3+ AI-native prompt variations per keyword — covering Discovery, Validation, Comparison, Informational, and Review-Seeking intents weighted for the client's vertical.

2

Multi-Platform Scraping

Queries run across ChatGPT, Claude, Perplexity, and Google AI Mode using 10 separate browser sessions per platform (40 total per query), each with its own account. This eliminates personalization bias and surfaces genuinely consistent citation patterns.

Platform-specific extraction (SSE stream interception for Claude/Perplexity, DOM-based for ChatGPT/Google AI Mode) captures all cited URLs plus fan-out queries — the web searches AI platforms trigger internally during response generation. One-off mentions are filtered; what remains are URLs that AI platforms reliably recommend.

3

Deep Competitive Analysis

For each top-cited competitor URL (typically the top 3), we run comprehensive analysis:

  • Technical GEO factors — Schema, heading structure, content-to-HTML ratio, word count, timestamps
  • Readability scoring — Flesch-Kincaid level, sentence complexity, vocabulary accessibility
  • Persuasion patterns — Social proof, authority signals, emotional vs. rational balance
  • Content structure — Answer capsules, front-loading, list usage, section organization
  • Platform-specific factors — Bing indexation, cross-index visibility, robots.txt access

All findings are cross-referenced against our GEO Knowledge Base to generate actionable advice grounded in empirical citation data.

Deliverables

What You Get

  • Citation landscape map — Who gets cited for which queries across which platforms
  • Competitor deep-dives — Technical GEO, readability, and persuasion scoring for each top-cited URL
  • Gap analysis — Differences between your client's content and cited competitors, prioritized by impact
  • Query-level breakdown — Where your client appears, where they don't, and what content would change that
  • Fan-out query intelligence — The actual web searches AI platforms trigger internally, revealing their research process
  • Optimization roadmap — Prioritized actions with estimated effort and expected impact

Under the Hood

The Technology Behind It

Three proprietary tools work together: the query generator (GSC data to realistic consumer queries), the multi-platform scraper (automated cross-platform citation extraction), and the GEO Knowledge Base (empirically grounded optimization recommendations). No existing SEO tool provides this combination — which is why we built it ourselves.

Good to Know

Limitations

AI citations vary by session and time. Our 10-sessions-per-platform approach mitigates variance, but this is a point-in-time snapshot. For ongoing tracking, pair with AI Visibility Monitoring.
Snapshot, not continuous monitoring. The AI citation landscape shifts as models update and competitors change content. We recommend quarterly re-runs.
Platform access can change. AI platforms may update interfaces or rate limits. We maintain scraping infrastructure continuously and are transparent about any limitations at engagement time.
Insights require action to create value. A report identifies gaps but doesn't implement changes. Pair with AI SEO Audits and GEO Content Strategy for a complete optimization cycle.

Explore

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AI SEO Audits

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Read the research → From the blog → How we work →

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