GEO · Multi-Engine Visibility
Visibility Across Bing Copilot, Gemini, and Perplexity
Google isn’t the only AI search anymore. Bing Copilot, Gemini, Perplexity, and ChatGPT each have their own signal preferences — we optimize for each, not just one.
OVERVIEW
What is Multi-Engine AI Visibility?
WHY IT MATTERS
Why it matters now
WHAT WE DELIVER
What we deliver
Per-engine baseline
We test your target queries across Bing Copilot, Gemini, Perplexity, ChatGPT, and Claude — and document where you appear in each.
Engine-specific signal map
For each engine, the specific signals and source patterns that drive citation in your industry. Bing isn't Perplexity, and our optimization plan reflects that.
Source platform optimization
LinkedIn (heavily used by Bing), Wikidata (used by Gemini), Reddit and Quora (referenced by Perplexity), industry vertical sites (used by ChatGPT) — strategic optimization across each.
Schema and structure
Page-level optimization that all engines benefit from: clean structure, FAQ sections, proper schema, defined entities.
Multi-engine monitoring
Weekly tracking across all engines so you see which are converting on which queries.
Quarterly strategy review
AI engine landscape changes fast. We re-evaluate signal preferences and adjust strategy quarterly.
HOW IT WORKS
How it works
- 1. Baseline (week 1)
We test your target queries across all major AI engines and document where you currently appear in each. - 2. Optimization (months 1-3)
Engine-specific work executed in priority order. Most clients see citation gains in 2-3 engines by month 2. - 3. Tracking & evolution (ongoing)
Weekly monitoring, monthly reports, quarterly strategy reviews as the AI search landscape shifts.
FREQUENTLY ASKED
Frequently asked questions
Is this different from regular AEO?
AEO usually focuses on ChatGPT and Perplexity. Multi-engine AI visibility extends that to Bing Copilot, Gemini, and any vertical-specific AI tools relevant to your industry. The signals partially overlap but the source-platform strategies differ.
Which engine should I prioritize?
Depends on your audience. B2B and enterprise: Bing Copilot first (heavy LinkedIn integration). Consumer-tech-savvy audiences: Perplexity. Mass-market consumer: Gemini and ChatGPT. We’ll prioritize based on where your customers actually search.
How much overlap is there between engines?
Roughly 40-60% of optimization tactics carry across all engines (clean schema, FAQ structure, entity clarity). The other 40-60% is engine-specific (LinkedIn presence, Wikidata, source platform mix). We do both layers.
How long does multi-engine optimization take?
First citation lift on a new engine usually shows up in 4-8 weeks. Sustained presence across all engines compounds over 4-8 months. Quarterly reporting tracks the trajectory.
What does it cost?
Most engagements start at $1,800/month including monitoring across all engines and optimization work for the top 2-3 engines. Multi-location and high-priority queries scale up. Free 30-min discovery call to scope.
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BEFORE WE TALK
Before we talk, find out where you stand.
Run your own free AEO Scorecard. We test 3 of your real customer queries against ChatGPT and Claude, score your visibility, and email you a personalized report — including the businesses getting cited instead of you.
NEXT STEP
Ready to talk?
30-minute discovery call. No pitch deck, no pressure. Tell us what you’re trying to do and we’ll tell you whether we can help.