general geo-competitive-analysis

geo-competitive-analysis

This skill should be used when the user asks to "analyze competitor AI search visibility", "competitive analysis for GEO", "see who ranks in AI search", "compare AI citations with competitors", "AI search competitive audit", "who does AI recommend over us", "competitive intelligence for generative search", "benchmark against competitors in AI", or any variation of analyzing, benchmarking, or auditing competitor visibility, citations, and brand presence in AI search engines.
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GEO Competitive Analysis

GEO competitive analysis answers one question: when a buyer asks an AI engine about your category, who gets mentioned — you or your competitors? Unlike SEO competitive analysis (which compares keyword rankings), GEO competitive analysis compares brand mention rates, citation frequency, and recommendation positioning across AI-generated answers.

Most SaaS companies have never checked who AI engines recommend in their category. By the time they do, competitors may have been cited for months and built entrenched authority. Running a GEO competitive analysis first establishes where you stand and reveals exactly what competitors are doing that you're not.

The GEO Competitive Audit Framework

Step 1: Define the competitor set

Include every company an AI engine might recommend alongside or instead of you.

Category Who to include How many
Direct competitors Companies with similar product and same ICP 3-5
Category adjacents Companies in adjacent categories AI might confuse with yours 1-2
Aggregators Review sites, directories that compete for citations (G2, Capterra) 2-3

Rule: If you're unsure whether a company is a competitor in AI search, test it. Ask ChatGPT "What are alternatives to [your product]?" The answer tells you exactly who AI engines consider your competitive set.

Step 2: Build the query matrix

Create a matrix of queries across intent types:

Query type Example queries Why it matters
Category definition "What is [category]?", "How does [category] work?" Tests who owns the category definition
Best-of lists "Best [category] tools", "Top [category] software 2026" Tests who gets recommended
Comparison "[You] vs [Competitor]", "[Competitor A] vs [Competitor B]" Tests how AI positions you vs competitors
Alternatives "[Competitor] alternatives", "Tools like [competitor]" Tests whether you appear when competitors are mentioned
Problem queries "How to [solve problem you solve]" Tests whether you're cited in problem-solving context
Purchase queries "[Category] pricing comparison", "How much does [category] cost?" Tests citation in buying-stage queries

Target: 30-50 queries covering all intent types and all competitors.

Step 3: Run the audit

Test every query across all three major AI engines.

Tracking template:

Query Engine Your brand mentioned? Your brand cited (with source link)? Competitor A mentioned? Competitor B mentioned? Who's #1? Answer accurate?
"Best CRM tools" ChatGPT Yes (3rd) No Yes (1st) Yes (2nd) Competitor A Yes
"Best CRM tools" Perplexity No N/A Yes (1st) Yes (2nd) Competitor A N/A

Record for each result:

  • Mentioned? (brand appears in the generated answer)
  • Cited? (AI engine links to a specific page as source)
  • Position? (1st, 2nd, 3rd in mention order — order implies recommendation strength)
  • Accurate? (facts about your brand are correct)

Step 4: Calculate competitive metrics

Metric Formula What it tells you
Share of Voice (SOV) Your mentions / total competitor mentions across all queries Your relative AI visibility
Citation gap Queries where competitor is cited and you're not Where you're losing and need to fix
Category ownership Who's cited for "What is [category]?" Who AI considers the category authority
Recommendation rate % of "best X" queries where you appear in top 3 How often AI recommends you
Comparison win rate % of "[You] vs [Competitor]" queries where you're positioned favorably How AI positions you head-to-head

Diagnosing Why Competitors Win

When a competitor is cited and you're not, diagnose the root cause.

Common competitive gaps

Gap type How to identify Fix
Content gap Competitor has a page for the query topic, you don't Publish a page targeting that query
Structure gap Both have pages, but competitor's is more extractable Apply AEO formatting: answer-first, tables, Q&A, schema
Recency gap Your page is older than competitor's Update your page with fresh data, new dateModified
Authority gap Competitor has more third-party mentions, reviews, press Invest in GEO source mentions — reviews, guest posts, podcast appearances
Entity gap AI knows your competitor better than it knows you Build entity signals: Wikidata, Organization schema, consistent branding
Schema gap Competitor has structured data, you don't Add FAQPage, Article, and relevant schemas to your pages

Competitor page analysis

When a competitor is cited for a specific query, read their page and score it:

Dimension What to check
First 50 words Do they answer the query immediately?
H2 structure Are H2s question-shaped and matching the target query?
Tables Do they use tables for comparisons and data?
Schema markup Check page source for JSON-LD schemas
Author + date Named author? Published and modified dates?
Content depth Word count, original data, unique insights
Tone Balanced (covers competitors honestly) or one-sided?

The fix is usually structural, not topical. Most citation gaps come from format and structure differences, not from one company knowing more than another.


Competitive Monitoring

Weekly monitoring (15 min)

  • Spot-check 5 priority queries across engines
  • Flag any new competitors appearing in your category queries
  • Note any changes in your mention position

Monthly competitive report

Section Content
SOV trend Your share of voice vs top 3 competitors, trended over time
Gains Queries where you gained a citation this month
Losses Queries where you lost a citation this month
New threats Competitors who appeared for the first time
Action items Top 5 fixable gaps for next month

Quarterly deep audit

Full re-run of the GEO competitive audit:

  1. Re-test all 30-50 queries across all engines
  2. Recalculate all competitive metrics
  3. Re-analyze top competitor pages for structural changes
  4. Update strategy based on competitive shifts
  5. Present findings to stakeholders

Competitive Response Playbook

When a competitor is cited and you're not

Urgency Situation Response
High Competitor cited for "[You] vs [Competitor]" — your own comparison query Publish or rewrite your comparison page within 1 week. AEO-optimize with answer-first structure, tables, schema
High Competitor cited for "Best [category] tools" — category leadership query Publish comprehensive listicle/comparison page. Build review volume. Add category definition content
Medium Competitor cited for "[Competitor] alternatives" — you're not listed Publish your own "[Competitor] alternatives" page with your brand included
Medium Competitor cited for problem queries you should own Publish targeted how-to content answering the specific problem query
Low Competitor cited for their own brand queries Normal. Focus on your own brand queries instead

When a competitor's AI description is wrong about you

AI engines sometimes describe your product inaccurately in comparison to competitors. This is fixable.

Process:

  1. Document the inaccuracy (screenshot, exact text)
  2. Identify the likely source (which page is the AI reading?)
  3. If the source is your own page — fix the content to make the correct fact extractable
  4. If the source is a competitor's page — publish your own page with the correct information, better structure, and more authority signals
  5. If the source is a third-party site — reach out to correct the information, or publish your own authoritative page that outcompetes it
  6. Re-test in 2-4 weeks

Pre-Audit Checklist

Before running a GEO competitive analysis:

  • [ ] Competitor set defined (3-5 direct + 1-2 adjacent + 2-3 aggregators)
  • [ ] Query matrix built (30-50 queries across all intent types)
  • [ ] Testing accounts set up for ChatGPT, Perplexity, and Gemini
  • [ ] Tracking spreadsheet created with all required fields
  • [ ] Baseline measurement plan defined (test over 2-3 sessions for reliability)
  • [ ] Responsible person assigned for ongoing monitoring
  • [ ] Response playbook shared with content team
  • [ ] Reporting cadence set (weekly spot-check, monthly report, quarterly deep audit)
  • [ ] Access to competitor pages for structural analysis

Anti-Pattern Check

  • Never checking who AI recommends in your category → You might be invisible while competitors get recommended daily. Run the basic 30-query audit this week. It takes 2-3 hours and shows you exactly where you stand
  • Only testing in one AI engine → ChatGPT, Perplexity, and Gemini cite different sources and recommend different products. A competitor winning in Perplexity but losing in ChatGPT requires different tactics than one winning everywhere
  • Assuming your SEO position = your AI position → A company ranking #1 in Google for your category keyword may not be the one AI engines recommend. GEO and SEO have different authority signals. Always test AI engines directly
  • Reacting to individual test results instead of trends → AI engine responses vary between sessions. Don't panic over one bad result or celebrate one good one. Track trends over weeks and months
  • Copying competitor content instead of improving on it → If a competitor is cited because they have a great comparison table, don't copy their table. Build a better one — more complete, more accurate, more recent, with original data they don't have
  • Only monitoring, never acting → A competitive report that sits in a Google Doc helps no one. Every monthly report should produce 3-5 specific action items with owners and deadlines
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