We asked 5 models 'best CRM for a small team' 300 times. Here is what happened.
Aug 2026 · 9 min read
Resources
Everything we know about GEO, written down.
The GEO Guide
Generative Engine Optimization is the practice of making sure large language models recommend and accurately represent your brand in AI-generated answers.
- 01Why AI answers are a distribution channel
- 02The dimensions of GEO
- 03Machine access: robots.txt, llms.txt, rendering
- 04Answerability and structured content
- 05Entity consistency and the knowledge graph
- 06Reviews and third-party authority
- 07Measuring share of voice against competitors
- 08Building a 90-day GEO roadmap
Blog
Field notes on AI search
Your pricing page is probably invisible to ChatGPT. Here is the fix.
Aug 2026 · 5 min read
llms.txt, explained: what to put in it and why it matters
Jul 2026 · 6 min read
Share of voice is the only GEO metric your CEO will remember
Jul 2026 · 4 min read
FAQ
Common questions
The headline Overall GEO Score uses website readiness when available, followed by measured AI visibility or available website optimization signals. AI Visibility, Recommendation Performance and Competitive Position remain separate report metrics.
ChatGPT (GPT-4o), Claude, Perplexity, Google AI Overviews / Gemini and Microsoft Copilot, depending on which providers the audit backend is configured to run. Each prompt is run multiple times per model and aggregated.
You can run a free audit and see your score without signing up. An account is used to save audits and track progress over time.
SEO optimises for ranked links on a results page. GEO optimises for being recommended and represented accurately inside an AI-generated answer, where there is often no list of links at all.
Typically a few minutes. The processing screen shows live status while the backend crawls your site and probes the configured AI engines.
Yes. Re-running produces a fresh score against the current state of your site and the models.
Documentation
How the audit works
Audits GEO measures how large language models and AI answer engines perceive and represent a brand. It combines live model probing with a technical crawl.
Prompts
Buyer-intent prompts derived from keyword research and interviews
Models
The AI engines the audit backend is configured to run
Runs
Each prompt run multiple times per model and aggregated
Crawl
Your site fetched both rendered and raw-HTML
Scoring
Weighted dimensions, 0–100, calibrated against a benchmark set