How to improve your GeoScored results

Prioritized fixes organized by effort level. Start with quick wins, then work through each category. Your scan runs all 55 checks. Every check that fails is an opportunity below.

Quick Win Under 30 minutes
Moderate 1–4 hours
Significant Ongoing or developer time

Quick Wins

Quick Win Under 30 minutes each

These four fixes are the highest-signal, lowest-effort changes you can make. Most content teams can complete all four in a single afternoon without developer involvement.

  1. Unblock AI crawlers

    Check your robots.txt file. If you have Disallow rules for AI crawlers, remove them. If your file blocks all bots with User-agent: *, add specific Allow rules for AI crawlers above the catch-all.

    # Allow AI crawlers explicitly
    User-agent: GPTBot
    Allow: /
    
    User-agent: ClaudeBot
    Allow: /
    
    User-agent: Google-Extended
    Allow: /
    
    User-agent: PerplexityBot
    Allow: /
    
    User-agent: Bytespider
    Allow: /
    
    # Existing catch-all
    User-agent: *
    Disallow: /admin/

    Not technical? Your robots.txt is at yoursite.com/robots.txt. Most CMS platforms (WordPress, Webflow, Squarespace) let you edit it in settings without touching code.

  2. Fix heading hierarchy

    Every page needs exactly one H1. H2s come after the H1. H3s come after H2s. Do not skip levels (no H1 directly to H3). AI engines use heading hierarchy to understand page structure and extract candidate answers. A broken hierarchy makes that extraction unreliable.

    Broken hierarchy

    <h1>Page title</h1>
    <h3>Subsection</h3>  ← skips H2
    <h2>Another section</h2>

    Correct hierarchy

    <h1>Page title</h1>
    <h2>Main section</h2>
    <h3>Subsection</h3>

    Not technical? Most CMS editors enforce this automatically if you use the heading dropdown (H1, H2, H3) instead of making text bold or large with formatting tools.

  3. Add Organization schema

    Add a JSON-LD Organization block to your homepage <head>. This gives AI engines a structured, authoritative source for your brand identity. Validate it with Google's Rich Results Test.

    <script type="application/ld+json">
    {
      "@context": "https://schema.org",
      "@type": "Organization",
      "name": "Your Company Name",
      "url": "https://yoursite.com",
      "logo": "https://yoursite.com/logo.png",
      "description": "One sentence describing what you do.",
      "sameAs": [
        "https://linkedin.com/company/yourcompany",
        "https://x.com/yourhandle"
      ]
    }
    </script>

    Not technical? Paste the code block above into a custom HTML or header code section in your CMS. WordPress users can use a plugin like Yoast SEO or add it to functions.php.

  4. Update publication dates

    Add or update dateModified meta tags on your most important pages. AI engines weight recent content higher. If your CMS does not update this automatically, add it to your page head:

    <meta property="article:modified_time" content="2026-03-01T09:00:00Z">

    Not technical? Update this date whenever you make substantive changes to the page content, not for typo fixes. Most blog platforms (WordPress, Ghost, Webflow CMS) update this automatically on publish.

AI Discovery Fixes

Moderate

These fixes address whether AI crawlers can find and access your content in the first place. A high-quality page that is blocked from AI crawlers scores zero on discovery regardless of its content quality.

AI crawler access

Beyond Quick Win #1, review your server configuration for X-Robots-Tag HTTP headers. Some hosting providers block AI crawlers at the server level even when robots.txt is permissive. Test by making a HEAD request to your pages and checking for X-Robots-Tag: noindex or none in the response headers.

Reference: robotstxt.org for the full robots.txt specification.

JavaScript rendering gap

AI crawlers read HTML, not executed JavaScript. If your critical content is loaded asynchronously after the initial page render, crawlers may not see it. Test by viewing your page source (Ctrl+U or Cmd+U) and comparing it to what you see in the browser. If important content is missing from the source, you have a rendering gap.

The fix is server-side rendering (SSR) or static generation. Both ensure content is in the initial HTML. Single-page applications (React, Vue, Angular) built without SSR typically have this gap on most pages.

Content visibility

Avoid hiding content behind tabs, accordions, or "read more" buttons on initial page load. AI crawlers read what is in the HTML at load time. Content that requires a user interaction to reveal may not be indexed, even if it is technically present in the HTML.

If you use accordions for FAQ content, test whether the answer text is in the HTML source when the accordion is collapsed. If it is only injected on click, the content is invisible to crawlers.

Indexability

Remove noindex from pages you want AI engines to find. Check both the meta robots tag (<meta name="robots" content="noindex">) and the HTTP X-Robots-Tag response header. Either one is sufficient to prevent indexing. Accidental noindex directives on important pages are a common cause of low discovery scores.

Content Quality Fixes

Moderate

Content quality determines whether AI engines extract your text as a candidate answer, and whether they attribute it to your site when they do. These fixes target how AI models read and evaluate your writing.

Answer-first writing

Lead every section with the key takeaway. Put the conclusion before the evidence. AI engines extract the first sentence of sections as candidate answers. If your first sentence is context-setting ("In this section, we will explore..."), AI passes over it in favor of a page that leads with the actual answer.

Burying the answer

"In this section, we will look at various factors that can influence how AI models understand your content, including structure, density, and freshness..."

Answer-first

"AI models prioritize content that leads with specific, verifiable claims. Three factors drive extraction: structured hierarchy, fact density, and recent modification dates."

Fact density

Include specific numbers, dates, percentages, and named sources. Research shows content with verifiable statistics has higher AI citation rates (Aggarwal et al., 2024). Vague claims ("studies show that...") are harder for AI to verify and less likely to be cited than specific, attributed claims ("a 2024 study by Aggarwal et al. found...").

Passage self-containment

Write paragraphs that make sense without surrounding context. AI engines extract individual passages. A paragraph that starts with "As mentioned above" or "Building on this" loses meaning when extracted alone.

Each paragraph should state its subject explicitly. Replace "It works by..." with "The schema markup works by..." Replace "This approach..." with "The server-side rendering approach...".

Readability

Target an 8th-grade reading level for non-technical content. Use short sentences (under 25 words). Break complex ideas into multiple sentences. AI engines prefer clear, direct language because it parses unambiguously. Tools like Hemingway Editor or the Flesch-Kincaid score in Microsoft Word can measure your current level.

Content depth

Aim for at least 800 words on important pages. Cover subtopics with dedicated H2 sections. Thin pages signal low authority to AI models. A page with 200 words on a topic competes poorly against a 1,200-word page that covers the same topic with specifics and examples.

Brand Authority Fixes

Significant

Brand authority is the hardest pillar to improve quickly because it depends on external signals: what other credible sources say about you, not just what you say about yourself. These fixes build the infrastructure for AI models to find and trust your brand.

Knowledge graph entry

Create or claim your Wikidata entry. AI models trained on web data treat Wikidata as an authoritative source for entity facts. A Wikidata entry with consistent, accurate facts about your organization gives AI models a verified source to cite.

Include: official name, founding date, headquarters location, website URL, industry classification, and founder(s). Link from your about page to your Wikidata entry using sameAs in your Organization schema.

E-E-A-T signals

Experience, Expertise, Authoritativeness, Trustworthiness (E-E-A-T) are the signals AI engines use to evaluate whether a source is worth citing. Add author bylines with credentials to articles and guides. Link to author profile pages. Include an about page with company history, team expertise, and industry involvement.

If your content has no identified author, AI models cannot attribute expertise to a person. Anonymous content scores lower on authority than bylined content from the same site.

Brand entity consistency

Ensure your brand name, description, and key facts are consistent across your website, schema markup, social profiles, and business listings. AI models cross-reference multiple sources when building their representation of a brand. Inconsistent information (different company names on LinkedIn vs. your website, conflicting founding years) creates ambiguity that models resolve by reducing confidence in all sources.

AI brand check (full scan)

The AI Brand Check in a full GeoScored scan queries ChatGPT, Google Gemini, Claude, Perplexity, and Llama about your brand directly. If AI models have incorrect information about your company, the fix is upstream: update your about page, schema markup, Wikidata entry, and social profiles with consistent, accurate information. Model training data refreshes on a lag of months to years, so corrections take time to propagate.

Citation Readiness Fixes

Moderate

Citation readiness is about making your content easy for AI engines to identify, attribute, and reference. Schema markup, meta tags, and social tags are the structured signals that help AI engines understand what your page is about and who created it.

Schema markup

Add JSON-LD for the page types you publish: Article for blog posts, FAQPage for FAQ sections, Organization for your homepage, BreadcrumbList for all pages. Each schema type signals to AI engines how to categorize and extract the content on that page.

Validate all schema markup with Google's Rich Results Test before deploying.

Meta tags

Write unique title tags (50-60 characters) and meta descriptions (150-160 characters) for every page. Include your primary keyword in both. Generic or duplicate title tags signal low quality to both search engines and AI models.

<title>How to Improve AI Search Visibility | Your Company</title>
<meta name="description" content="Step-by-step fixes for improving your AI search presence. Covers crawlability, content structure, schema markup, and brand authority.">

Social tags

Add Open Graph and Twitter Card tags to every page. These are read by AI engines as additional structured signals about page identity and purpose.

<!-- Open Graph -->
<meta property="og:title" content="Page Title">
<meta property="og:description" content="Page description.">
<meta property="og:image" content="https://yoursite.com/og-image.png">
<meta property="og:type" content="article">

<!-- Twitter Card -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="Page Title">
<meta name="twitter:description" content="Page description.">

Content freshness

Publish and update content regularly. Update the dateModified timestamp when you make substantive changes. Freshness signals help AI engines determine whether your content reflects current information. A page last modified three years ago ranks below an equivalent page modified last month, even if the content is identical.

Site Health Fixes

Significant

Site health issues are often invisible to content teams but visible to every crawler. Broken links, slow load times, and missing security headers all signal neglect to AI engines evaluating your site's trustworthiness.

Link health

Fix broken internal and external links. Set up 301 redirects for moved pages. Broken links (404 responses) encountered during a crawl signal that a site is not actively maintained. Tools like Screaming Frog, Ahrefs, or the free Broken Link Checker can check your site's link health in under an hour for most sites.

Image optimization

Add descriptive alt text to every image. Alt text is read by AI crawlers, screen readers, and search engines as a description of the image's content. Decorative images should have empty alt text (alt=""). Informative images should describe what is shown.

Use modern image formats (WebP, AVIF) and enable lazy loading with loading="lazy" on below-the-fold images to improve page load time.

Page speed

Enable gzip or brotli compression on your server. Minimize render-blocking CSS and JavaScript. Use a CDN for static assets. Slow pages cost crawl budget and signal low technical quality.

Measure your current scores with Google PageSpeed Insights. Target 90+ on mobile.

Security headers

Ensure HTTPS on all pages. Add Strict-Transport-Security, X-Content-Type-Options, and X-Frame-Options headers. Sites without HTTPS are treated as untrusted by browsers and crawlers alike. Missing security headers signal inadequate maintenance to technical evaluators.

Emerging Signals

Informational

These items do not affect your GEO score. They track specifications and signals with growing adoption but limited evidence of AI search impact. We include them so you have the full picture.

llms.txt

llms.txt is an emerging specification for a plain-text file at yoursite.com/llms.txt that describes your site's most important pages. It does not affect your GEO score. Current evidence from multiple independent studies finds no AI search engine reads llms.txt today: zero correlation with AI citation frequency across 300,000 domains (SE Ranking, 2025), and 0.1% of AI crawler traffic touches the file (Otterly, 90-day experiment, 2025).

We include it as an informational signal because adoption is growing (844,000+ sites) and the specification may gain traction. If you implement it, follow the spec at llmstxt.org and list your most important pages. It has proven value for AI development tools (Cursor, Claude Code) that consume documentation.

This check is informational. It does not affect your GEO score.

After you make changes

Fixes only count when they are verified. Rescan after implementing changes to confirm they are working correctly. Use this cadence as a guide:

Scenario Frequency Why
After implementing fixes Immediately Verify the fix worked as intended
During active optimization Weekly Track progress across all checks
Maintenance mode Monthly Catch regressions from CMS updates or new content
Minimum Quarterly AI algorithms and crawler behavior change over time

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