B2B companies - how are you approaching AI search optimization? Traditional SEO playbook doesn't seem to apply
Community discussion on how B2B companies optimize for AI search. Real experiences from B2B marketers implementing AEO and GEO strategies.
We’re a challenger brand trying to capture traffic from people searching for alternatives to the market leader. Think “[Big Competitor Name] alternative” and “best [Big Competitor] alternatives 2026.”
Our situation:
What we’ve tried:
Questions:
The potential here is huge - these are high-intent searches from people ready to switch.
I’ve helped dozens of challenger brands crack alternative queries. The strategy for AI search is genuinely different from traditional SEO.
Traditional SEO for alternatives:
AI Search for alternatives:
The winning content structure for AI:
Lead with the answer First paragraph: “The best [Competitor] alternative for [specific use case] is [Your Brand] because [specific reason].”
Comprehensive comparison table 8-12 factors, 3-5 solutions Include specific data points, not vague claims
Use-case specific recommendations “Best for small teams: X” “Best for enterprise: Y” “Best for budget-conscious: Z”
Original differentiation “Unlike [Competitor], we offer [specific feature]” AI extracts these explicit comparisons
Social proof Customer quotes from people who actually switched Specific metrics: “Saved 40% time” not “saves time”
The key insight: AI prioritizes WHAT you say over WHO you are. Domain authority matters less.
This is exactly right. We’re a 3-year-old company competing against a 15-year incumbent.
What changed our alternative query visibility:
Traditional SEO ranking: Page 3 (basically invisible) AI mention rate: Now 45% of relevant queries
The difference? Our comparison page has:
We can’t beat them on backlinks. We CAN beat them on content depth and original insights.
The content structure that works for alternative queries:
Section 1: Direct Answer (first 100 words) Immediately answer: What’s the best alternative? Why?
Section 2: Quick Comparison Table Side-by-side with key factors Make it extractable (AI loves tables)
Section 3: Detailed Feature Comparison Each major feature gets its own subsection Include screenshots/specifics
Section 4: Use Case Recommendations “If you need X, choose Y” Specific scenarios with clear guidance
Section 5: Pricing Comparison Complete transparency including hidden costs Include actual numbers, not ranges
Section 6: Migration/Switching Guide Practical help for people ready to switch Shows you understand their journey
Section 7: Social Proof Real quotes from real customers Specific results, not generic praise
Total length: 2,500-4,000 words But structured so AI can extract specific sections.
We can’t compete for “[Competitor] alternative” broadly.
But we’re winning for niche variations:
Example results:
Strategy:
Long-tail alternative queries have:
We get 200 visitors/month from these niche alternative queries, converting at 8%. That’s better ROI than trying to compete for the head term.
Specific tactics for alternative query content:
1. Be genuinely honest AI systems and users can detect promotional fluff. Acknowledge where competitors are stronger. “[Competitor] is better if you need X. We’re better if you need Y.”
2. Use explicit differentiation language “Unlike [Competitor], we…” “What sets us apart from [Competitor]…” “[Competitor] requires X, while we offer Y”
These explicit statements are what AI extracts for answers.
3. Include negative keywords in your content People searching “[Competitor] problems” or “[Competitor] limitations” Address these in your comparison content “If you’re frustrated with [Competitor’s known issue], here’s how we solve it”
4. Create multiple entry points Main comparison page: “[Competitor] vs [You]” Alternative query page: “Best [Competitor] Alternatives” Migration page: “How to Switch from [Competitor]” Use case pages: “Best [Category] for [Use Case]”
5. Update regularly Add “Updated January 2026” prominently Include competitor’s latest features Show you’re tracking the market actively
Freshness signals matter for AI citations.
Track your alternative query visibility specifically:
What to monitor:
Using Am I Cited or manual testing:
Track across platforms:
What to measure:
Our tracking revealed: We were mentioned in ChatGPT but not Perplexity. Different content was being cited. Adjusted our strategy to strengthen Perplexity visibility specifically.
You can’t improve what you don’t measure.
Don’t forget review sites for alternative queries:
G2, Capterra, TrustRadius matter because:
Optimize your review site presence:
Request specific review types:
Example prompt to customers: “Would you be willing to share how [Your Product] compares to [Competitor] based on your experience? This helps others making similar decisions.”
The switcher narrative is powerful for alternative queries.
Reddit is huge for alternative query visibility:
AI systems cite Reddit heavily. When someone posts “What’s a good alternative to [Competitor]?” the responses influence AI answers.
Authentic participation:
What works:
What doesn’t work:
We’ve seen single Reddit threads with genuine recommendations drive AI visibility for specific alternative queries.
Often overlooked: Migration content helps with alternative queries.
People searching for alternatives often need help switching. Create:
“How to Migrate from [Competitor] to [Your Product]”
This content:
Bonus: Include time/effort estimates “Most customers complete migration in 2-3 hours” Specific numbers reduce anxiety and improve conversions.
AI loves specific, helpful, action-oriented content.
This thread is exactly what we needed. New strategy based on this:
Phase 1: Niche Focus Instead of “[Competitor] alternative” broadly, targeting:
Phase 2: Content Restructure Rebuilding our comparison page with:
Phase 3: Ecosystem Building
Phase 4: Tracking
Key insight: AI search gives us a real shot at competing. We can’t beat them on authority, but we can beat them on content quality and specificity.
Thank you all for the strategies.
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Monitor where you appear when users search for alternatives to competitors across ChatGPT, Perplexity, and Google AI. Identify gaps and opportunities in your competitive positioning.
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