Gemini is not just another AI chatbot
I will be honest. When Google launched Gemini, I dismissed it as Google's rushed response to ChatGPT. Another AI product that would be quietly deprecated in 18 months.
I was wrong. Gemini search volume has grown 46% in the last quarter. It is deeply integrated into Google Search through AI Mode. And it cites content differently from both traditional Google search and ChatGPT.
I have been actively monitoring Gemini citations across my client portfolio for the past 6 months. Here is what I have found.
How Gemini search differs from ChatGPT and Google
The first thing to understand is that Gemini is not a standalone product. It is woven into Google's ecosystem. When someone uses Google AI Mode (which is powered by Gemini), the citations come from Google's own index. When someone uses Gemini directly (gemini.google.com), it has access to real-time Google search results.
This creates a fundamentally different optimization challenge compared to ChatGPT:
ChatGPT relies primarily on its training data plus Bing search results for web-connected queries. Getting cited by ChatGPT means being in Bing's index and being authoritative enough to be in the training data.
Perplexity is essentially a search engine with AI answers. It indexes the web broadly and cites recent content easily.
Gemini uses Google's index, which means Google's ranking signals directly influence what gets cited. If Google trusts your content, Gemini is more likely to cite it. If Google does not rank you, Gemini probably will not cite you either.
This is actually good news if you are already doing SEO well.
What I have seen Gemini cite (and not cite)
After 6 months of tracking, here are the patterns:
Content that gets Gemini citations:
Comprehensive guides on specific topics. Not "10 tips for X" listicles but genuinely thorough coverage. Our healthcare SEO guide has received citations because it covers YMYL, E-E-A-T, local SEO, schema markup, and content strategy in one place.
Content with specific data and numbers. Gemini loves citing statistics, benchmarks, and original research. Vague claims like "studies show" do not get cited. Specific claims like "77% of patients use search before booking" with a source do.
Content with clear structure. This is consistent across all LLMs but Gemini seems to particularly favour content with clean heading hierarchies, direct answers after headings, and structured data like tables and numbered lists.
Content from domains Google already trusts. This is the biggest factor. Gemini overwhelmingly cites content that already ranks on page 1 of Google for related queries. As Search Engine Land reported, Google AI Mode cites Google's own properties more than any other site. After that, it favours the same authoritative domains that Google organic search favours.
Content that does NOT get Gemini citations:
Thin content that ranks on backlinks alone. I have seen pages that rank well in organic search but get skipped by Gemini because the content itself is thin. Gemini seems to evaluate content depth more aggressively than traditional Google ranking.
Content behind paywalls or heavy JavaScript. Gemini needs to be able to extract and parse your content. If your page requires JavaScript rendering or a login to access the main content, it gets skipped.
Outdated content. Gemini has a strong recency preference. Content from 2023 that has not been updated gets passed over for newer content on the same topic, even if the older content ranks higher in organic search.
Content that copies others. If your content is essentially a rewritten version of what already ranks, Gemini will cite the original. It rewards genuine additions to the conversation, not paraphrased versions of existing information.
The practical optimization checklist
Based on 6 months of observation, here is what I do for every page I want Gemini to cite:
1. Rank in Google first
This is not optional. Gemini pulls from Google's index. If you are on page 3 of Google, you are invisible to Gemini. Focus on traditional technical SEO, on-page optimization, and link building first.
2. Add genuine depth
Read the top 5 results for your target query. Then write something that covers everything they cover plus at least one angle they miss. For every major section, ask: "Is there a specific detail, example, or data point I can add that nobody else has?"
3. Structure for machine extraction
Google has published guidance on ensuring your content performs well in AI features. The key recommendations:
- Use clear, descriptive headings
- Provide direct answers to questions (do not bury the answer)
- Use structured data where appropriate (FAQPage, HowTo, Article schema)
- Include tables and lists for data-heavy content
4. Keep content fresh
Update important pages at least quarterly. Add a visible "Last updated" date. Remove outdated information. Add new developments. Gemini prefers current content.
5. Build entity presence
Gemini understands brands and entities through Google's Knowledge Graph. Make sure your brand has:
- A complete Google Business Profile (especially for local businesses)
- Consistent brand information across the web
- Mentions on authoritative industry sites
- Accurate Wikipedia or Wikidata entries if applicable
6. Do not block Googlebot
This sounds obvious but I have seen it. If your robots.txt blocks Googlebot from crawling content, Gemini cannot access it. Make sure your key content pages are crawlable and indexable. Check your robots.txt and canonical tags.
The metrics I track
Since there is no "Gemini Search Console," tracking Gemini visibility requires manual effort:
- Weekly brand queries in Gemini. I search for client brands and key topics in Gemini and document whether the client is cited.
- GA4 referral traffic. Look for traffic from gemini.google.com in your referral reports.
- AI Mode citation monitoring. Using tools that track Google AI Overview citations at scale.
- Brand mention alerts. Google Alerts for brand mentions, which indirectly feeds Gemini's understanding.
The bottom line
Here is my honest take after 6 months: optimizing for Gemini search is not a separate discipline from SEO. It is SEO with a higher quality bar.
Everything Google has told us for years, create helpful content, build genuine authority, structure your content clearly, keep it fresh, is exactly what Gemini rewards. The difference is that Gemini is less forgiving of mediocre content. You cannot rank in Gemini on domain authority alone. The content itself has to be genuinely better than the alternatives.
For anyone doing SEO properly, that should be good news. The bar is higher but the playbook is the same.
Further reading
- Top ways to ensure content performs well in Google AI features (Google Search Central)
- Google AI Mode is citing Google more than any other site (Search Engine Land)
- Google AI Mode sends traffic on 69% of transactional queries (Search Engine Land)
- Creating helpful, reliable, people-first content (Google Search Central)
