Generative Engine Optimization
Be the brand ChatGPT recommends.
ChatGPT, Claude, Perplexity, Gemini, and Copilot answer over a billion queries per day. We make sure your brand is in those answers — through entity optimization, citation building, and structured AI visibility tracking.
Outcomes
Brand presence across every AI engine.
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1B+
ChatGPT queries / day
Your customer is asking an LLM for a recommendation. We make sure your brand is in the answer.
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5
Engines monitored
ChatGPT, Claude, Perplexity, Gemini, and Copilot — all tracked monthly.
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Entity
Knowledge Graph presence
Get your business into Wikidata, Google Knowledge Graph, and LLM training data.
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Citations
Inbound LLM mentions
Track every time an LLM cites your site as a source. Monthly visibility report.
What's included
The full GEO toolkit.
Setup work is one-time. Monitoring is monthly. Both included in Authority Build's first 30 days free.
- GEO baseline audit: current brand mentions across 5 LLMs
- Entity optimization: Wikidata, Google Knowledge Graph submission
- llms.txt file: AI-friendly site manifest
- Citation-worthy content patterns (data, statistics, original research)
- Author bios with E-E-A-T signals on every page
- Topical authority architecture (pillar + cluster pages)
- Inbound link strategy with industry publications
- Press release distribution for newsworthy updates
- Quora, Reddit, and forum presence strategy
- Brand mention monitoring across ChatGPT, Claude, Perplexity, Gemini, Copilot
- Prompt-level positioning analysis (what users actually ask)
- Monthly GEO visibility report with citation tracking
How we work
Baseline. Setup. Build. Monitor.
- 01
Baseline
We probe each of the 5 LLMs with 50 industry-specific prompts. Map current brand mentions vs. competitors.
- 02
Entity setup
Wikidata profile, Google Knowledge Graph submission, llms.txt deployment, E-E-A-T author bios.
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Citation building
Pitch original data + insights to industry publications. Build inbound links that LLMs actually scrape.
- 04
Monitor
Monthly re-probe of 5 LLMs. Track citation gains. Adjust strategy based on prompt-level data.
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What's the difference between AEO and GEO?
AEO targets Google products (AI Overviews, featured snippets, PAA). GEO targets standalone AI engines (ChatGPT, Claude, Perplexity, Gemini, Copilot). Different surfaces, overlapping but distinct techniques.
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Can you actually influence what ChatGPT says about my brand?
Yes — through structured data, entity optimization (Wikidata, Knowledge Graph), and citation building. LLMs train on the open web. The more authoritative sources mention your brand correctly, the more likely it appears in their answers.
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How do you measure GEO results?
We probe each LLM with 30-50 industry prompts monthly and track: (1) whether your brand is mentioned, (2) in what context, (3) how it compares to competitors. You see the actual responses in monthly reports.
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What if an LLM mentions my brand incorrectly?
We document it and submit correction signals through the structured data layer (Wikidata edits, Knowledge Graph corrections, schema updates, fresh authoritative citations). Most issues self-correct within 60-90 days as models retrain.
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Is GEO worth it for small local businesses?
It depends on whether your customers use AI to find services. For most local trades (plumbing, electrical, foundation repair), search is still Google-dominant. For professional services (legal, financial, consulting), AI search adoption is much higher. We assess fit in the free audit.
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