How to Improve Your GEO Score: A Fix-Order Guide
Every step below is grounded in what our audits of universities, booking sites, hospitality chains, and nonprofits found between August and September 2026 — the same gaps repeat across 28 sites.
Know What You're Optimizing
The GEO score is a weighted rollup of six dimensions: AI citability, brand authority, content E-E-A-T, technical GEO, schema markup, and platform optimization. You don't need to master all six to start — you need to fix the three that are almost certainly dragging you down, in the right order. A free GEO audit reports each dimension 0-100 so you can see which one is your floor.
The One-Day Fixes (Do These First)
1. Give AI crawlers access. If your robots.txt doesn't explicitly allow GPTBot, ClaudeBot, and PerplexityBot, AI engines may never fetch your pages. Our hospitality audit found five readable robots.txt files with zero AI crawler rules, and three chains (Hilton, Hyatt, IHG) returning 403 to plain-text requests entirely. Check your site against all 14 bots with the AI Crawler Check — if you're blocked, the fix is a few lines in robots.txt (our AI crawler guide has the template).
2. Add llms.txt. It's a plain file at /llms.txt describing your top pages for AI crawlers. It's the single most frequently missing asset we see: only 1 of 8 hospitality chains had one, 3 of 8 booking sites, 0 of 6 nonprofits. No account, no CMS plugin, no schema — just a text file. Validate yours with the llms.txt Checker.
3. Fix entity schema. AI engines confirm who you are through JSON-LD. We audited universities where MIT and Stanford homepages had zero structured data, and a hospitality batch where zero of eight sites had hotel- or restaurant-level entities. Add at minimum Organization (with sameAs), and Article on blog posts — our Schema Checker flags what's missing in one run.
4. Make passages citable. Zhou et al. (2024) showed cited passages cluster at 134-167 words, self-contained and answer-first. Rewrite your thin H2 sections into definition-first paragraphs with a concrete number or named entity in each. Run the Citability Check on your homepage and top pages to see which paragraphs extract cleanly.
These four are achievable today and typically move the score 15-25 points combined. Do them before touching content volume.
The Slow Variables (Start Now, See Results in Months)
Brand authority. Mentions across YouTube, Reddit, Wikipedia, and LinkedIn correlate strongly with AI citations — Ahrefs' 75,000-brand study found mentions outperform backlinks by ~3x. There's no quick fix; create the footprint and let it compound. Our brand mentions guide covers the priority order.
Content E-E-A-T. Author names, bios, publication dates, and original data on every page. AI engines weight human-verified authorship that conventional publishing pages often lack.
Technical depth. SSR that renders text without JavaScript, no bot walls, healthy core web vitals. This is rarely the first bottleneck for the sites we scan — citability and platform issues are — so audit it, but don't lead with it.
What the Audit Data Says You're Probably Missing
Across our four 2026 audit batches, nearly every site missed at least two of three things: an llms.txt file, AI-crawler rules in robots.txt, or entity-level schema. The pattern is consistent enough that you can bet on it — check those three before anything else, because the fix is free and the check takes minutes per asset.
A Two-Week Improvement Cycle
- Week 1, day 1: Full audit → fix AI crawler access, add llms.txt, fix schema errors (the one-day list above).
- Week 1, days 2-5: Rewrite the five highest-traffic thin sections into citable passages.
- Week 2: Re-run the audit, compare dimension scores, launch the brand-authority content plan (YouTube + Reddit).
- Repeat monthly. The score that matters is the trend line, not the single read.