The fastest way to improve your AI search visibility is to run a VistaCite audit on your own site and work through the .fix_it_plan.md file top to bottom. But some fixes are universally high-leverage regardless of what your specific audit flagged — this doc is the prioritized playbook for those.

The 10 fixes that move the most score per hour of work

1. Make your title tag a claim, not a topic (5 min)

Generic titles like "Solar panels" or "Our Services" score poorly on AEO because they don't match how users query LLMs. Rewrite as a specific claim or question: "Do solar panels work in winter?" or "SEO audit tool for AI search". Target 50–60 characters with the primary keyword near the start. Our own audit dropped 48 points on AEO before we rewrote the title.

2. Add Organization JSON-LD with sameAs (10 min)

Entity disambiguation is how LLMs recognize who your page is about. Paste an Organization schema in your <head> with name, url, description, and sameAs pointing to real authoritative profiles (Wikipedia, Wikidata, LinkedIn, X). Don't use placeholder URLs — Google's Rich Results Test rejects them.

3. Add Article JSON-LD with datePublished + dateModified (10 min)

Answer engines weight freshness. An undated page reads as "possibly five years old — skip it." Add Article or BlogPosting schema with ISO dates. Make the dateModified match a visible "Last updated" line on the page itself — Google flags schemas whose dates don't agree with visible copy.

4. Allow AI crawlers in robots.txt (2 min)

Many sites block GPTBot, ClaudeBot, and PerplexityBot by default — sometimes deliberately, sometimes as a side-effect of overly-aggressive bot blocking. The fix is one text file:

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: Google-Extended
Allow: /

Drop this at the top of your robots.txt and every AI search engine can crawl you.

5. Add a visible author byline and "Last updated" date (5 min)

E-E-A-T signals. Add "Written by {name}" somewhere prominent (ideally linking to an author bio page) and "Last updated {date}" near the title or in the footer. These are plain text — no schema required — and they satisfy both the AEO check and Google's general quality rubric.

6. Rewrite one paragraph as a direct-answer block (10 min)

Identify the most important question your page answers. Write a 60–100 word paragraph that states the answer in sentence 1, the key detail in sentence 2, a concrete specific in sentence 3, and an invitation to continue in sentence 4. Put it immediately after your H1 or the first H2 on the page. This is the chunk ChatGPT and Perplexity will extract if they cite you.

7. Convert one section into a structured list or table (5 min)

Google AI Overviews cite list- and table-structured content disproportionately often. Find a section of your page that's currently prose but could be a bullet list (features, steps, comparisons) and reformat. Three items minimum, five or more is better.

8. Add 2+ authoritative outbound links to .gov / .edu / Wikipedia (5 min)

Princeton's GEO research found that pages that cite their sources get cited more than pages that don't. Find a claim in your content and add a citation link to the source. Target .gov stats, .edu research, Wikipedia articles, or peer-reviewed journals — not other commercial blogs.

9. Increase statistic density (30 min)

Swap vague language for specific numbers. "Significant growth" → "27% year-over-year growth." "Most users" → "84% of 1,200 surveyed users." Each numeric claim increases your GEO score and gives LLMs a quotable anchor. Don't fabricate numbers — use real data from your own analytics or cite industry research.

10. Expand thin content past 1000 words (1–3 hours)

Thin content scores poorly regardless of how well-structured it is. If your page is under 600 words, it will struggle on GEO no matter what you do with schema. Add a methodology section, a worked example, an FAQ block, or a "how we think about X" section. Write for genuine depth, not padding.

The compound plays

After the 10 quick wins, the compound levers are:

Publish case studies with specific numbers that other sites will cite.
Get 2–3 Wikipedia mentions in tangentially related articles where your brand fits legitimately.
Appear on 2–3 podcasts per quarter — the transcripts end up in LLM training data.
Release an open dataset, benchmark, or research that becomes the canonical reference for a specific question in your space.
Write for high-DR publications at least once a quarter so the model's training data has your byline attached to your topic.

These take weeks to months but they're the actual moat. On-page fixes get you to the floor; off-page signals get you cited.

What won't move your AI visibility

Paid ads (they don't show up in AI answers)
Keyword stuffing (modern models penalize it)
Link-building without brand mentions (the model has to ingest text about you, not just links)
Generic blog content that doesn't make specific claims
Social media alone (too ephemeral, not scraped deeply enough)

How to improve your AI search visibility