What are the most common GEO mistakes?
Direct answer
The most common GEO mistakes are burying the answer deep in the content instead of leading with it, skipping schema markup, writing vague headings that do not match user queries, and failing to track AI citation metrics. Many teams also treat GEO as a one-time project rather than an ongoing practice. Avoid these errors by running every page through the SEORav AEO Checklist before publishing.
Key facts
- Burying the answer below introductory filler means AI engines skip your page for a competitor that leads with the answer
- Missing QAPage or FAQPage schema removes the structured signal that helps AI systems identify your content as an answer
- Vague headings like "Our Approach" fail to match question-based queries that users ask generative AI tools
- Treating GEO as a one-time project instead of an ongoing workflow causes citation share to decay as competitors optimize
Stale dates and outdated statistics
Generative engines downweight pages with old dateModified values or statistics from three years ago. A common mistake is updating the visible "Last updated" text without updating the actual schema dateModified field. Engines read the structured data, not the human-readable string. Pages citing 2022 statistics in a 2026 article lose Perplexity citations to competitors with current numbers. Refresh both the schema date and at least one statistic per major section quarterly.
No original data
GEO engines reward unique data points because they want to cite something other competitors can't replicate. Pages that only restate industry averages from public reports rarely earn sustained citations. Original survey data, internal usage statistics, customer outcome numbers, or proprietary benchmarks (even small sample sizes) significantly increase citation probability. A page sharing "across 1,200 of our customers, average implementation took 6.3 weeks" outperforms one citing a Gartner figure everyone else also cites.
Practical takeaway
Quarterly audit: refresh dateModified in schema (not just visible text), update one statistic per H2 section, and add at least one original data point per top-priority page. Restructure long paragraphs into 40 to 80 word extractable blocks. Pages following this routine maintain Perplexity citation share, while static pages typically lose 30 to 50% of citations within two quarters.