You ran the GEO score check. The report came back with a number, a list of a dozen issues tagged high, medium, and low priority, and no clear answer to the one question that actually matters: what do you fix first? Most teams stall right here. They stare at a 40 out of 100, forward the report to whoever manages the website, and nothing changes for weeks because nobody agreed on which three items actually move the number.
Your GEO Score Is a Diagnosis, Not a To-Do List
A GEO score compresses dozens of technical and content signals into one number, which is exactly why it’s frustrating to look at on its own. If you haven’t run one yet, Topify’s free GEO Score Checker returns a 0 to 100 grade in under 30 seconds and tags each finding by priority instead of dumping a flat checklist. Even a good checker can’t decide for you which three fixes are worth doing this week versus which twelve are worth ignoring for now.
That’s the gap most teams fall into.
Across the domains Topify has scanned, most sites block at least one major AI crawler or ship no structured data at all, which means the same three problems show up again and again regardless of industry. Once you know what those three are, the report stops being a wall of findings and turns into an order of operations.
Fix 1: Unblock the AI Crawlers Reading Your Site
Before anything else on the report matters, the AI engines have to be able to reach your pages. GPTBot, PerplexityBot, ClaudeBot, and Google-Extended all respect robots.txt, and a surprising number of sites still block one or more of them, often without anyone deciding to.
This is usually the fastest fix on the list. Technical audits of AI-readiness consistently rank unblocking AI crawlers as the highest-impact, lowest-effort change a site can make, often closer to ten minutes of work than a full sprint.
It’s also the one fix that gates everything else. Schema markup, clean answer formatting, and fast page loads don’t help if the crawler never gets past robots.txt in the first place. Check this one first, not because it’s glamorous, but because every other fix on your list depends on it.
Checking it doesn’t require any tooling. Open your robots.txt file directly and look for user-agent lines matching GPTBot, PerplexityBot, ClaudeBot, or Google-Extended, then confirm none of them carry a blanket disallow. Teams that inherited their robots.txt from an agency or a CMS default are the ones most likely to find a surprise here, since older configurations sometimes blocked “unknown bots” as a blanket security measure long before AI crawlers existed.
Fix 2: Give AI Something Structured to Quote
Once crawlers can reach your pages, the next question is whether they can tell what those pages are actually about. Schema.org markup, particularly Article, FAQPage, and Organization types, turns loose prose into labeled facts a model can lift directly into an answer.
Sites that skip this step tend to have the same gap. Analysis of AI search readiness across a large set of domains found that missing Organization and Person structured data was the single biggest difference between sites that get cited and sites that don’t. Adding FAQ or HowTo schema to your key pages is often the next lever after that.
One caveat worth flagging, since a lot of GEO advice treats it as mandatory: llms.txt. It’s a reasonable file to have, but it’s not the priority its popularity suggests. A review of over 500 million AI bot traffic events found that AI search crawlers almost never fetch llms.txt in practice, and separate research reached the same conclusion after removing it as a variable from a citation-prediction model with no drop in accuracy. Ship it if you have a spare hour. Don’t let it push robots.txt and schema down your list.
Schema itself doesn’t need to be complicated to matter. A single FAQPage block on your pricing or product page, listing the three questions prospects actually ask, is often enough to start showing up as a direct answer rather than a buried mention. Organization schema on your homepage does something similar at the brand level, giving AI models a clean, unambiguous record of who you are before they try to guess from unstructured text.
Fix 3: Rewrite for Answer-First Extraction
Why Paragraph Order Decides Whether You Get Cited
The last fix is the one that has nothing to do with code. AI systems tend to pull from the part of a page that answers the question most directly, which usually means the first sentence or two after a heading, not a conclusion buried in paragraph four.
Rewriting your key pages so each section leads with its answer, one idea at a time, is a content edit, not a technical one. Guides on technical GEO frame this the same way: front-loading answers and keeping one idea per heading is an ongoing habit, and it’s what decides whether a section gets extracted at all.
In practice, this often means moving your best paragraph to the top and cutting the throat-clearing that came before it. A page that opens with three sentences of company history before answering “what does this product do” reads fine to a human skimming for context. A model looking to extract a citable answer will often quote whatever comes first, history included, which is rarely the sentence you wanted surfaced.
The payoff shows up faster than most teams expect. Sites that ship these fixes together commonly move from a 30 to a 70 GEO score within two weeks, largely because the three problems compound. Unblocking crawlers gets you seen, schema gets you understood, and answer-first formatting gets you quoted.
How to Know the Fixes Actually Worked
A GEO score isn’t a one-time grade. It shifts as AI engines re-crawl your site, so the only way to confirm a fix landed is to check again after you ship it, not to assume it worked because the change looked right in a code review.
For a handful of pages, re-running a free checker every week or two is manageable. It gets harder once you’re tracking dozens of pages across multiple AI platforms, watching for a schema change that quietly breaks, or trying to tell whether a competitor’s content update is why your citations dropped. That’s the kind of ongoing tracking platforms like Topify’s Comprehensive GEO Analytics are built around, scoring visibility, sentiment, position, and four other signals across ChatGPT, Gemini, and Perplexity so you’re not re-running a manual check every time you want an answer. If that sounds like where you’re headed, it’s worth taking a look at what a full GEO tracking setup involves.
Conclusion
A GEO score tells you where you stand. It doesn’t tell you what to do Monday morning, and that’s the part most reports leave out. Unblock the crawlers first, since nothing else counts until they can reach your pages. Add structured data second, so what they find is actually quotable. Rewrite your key pages third, so the answer they pull is the one you meant to give. Do those three in order, recheck the score, and you’ll usually see the number move within weeks rather than quarters.
FAQ
Q: How often does a GEO score actually update?
A: It updates whenever the underlying signals change, which mostly means whenever AI crawlers re-index your site after you ship a fix. There’s no fixed schedule, so re-running a checker a few days after a change is a reasonable way to confirm it landed.
Q: Do these three fixes have to happen in order?
A: Not strictly, but unblocking crawlers first makes the biggest difference, since schema and content changes on a page AI can’t reach won’t register in your score at all.
Q: Is llms.txt worth setting up before the other three fixes?
A: It’s low-cost to add, but current data shows AI crawlers rarely fetch it, so it shouldn’t come before unblocking crawlers or adding schema on your priority list.
Q: My GEO score went up. What should I check next?
A: Whether the higher score is translating into actual citations and mentions across the AI platforms your audience uses, which is a different metric than the technical score itself and usually needs ongoing tracking rather than a one-time check.
