
Vincent JOSSE
Vincent is an SEO Expert who graduated from Polytechnique where he studied graph theory and machine learning applied to search engines.
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If you want to rank in Google AI Overviews and AI Mode, stop looking for one magic trick. There is none.
The practical goal is simpler: make your pages easy for Google to retrieve, understand, trust, and quote when it builds an AI answer. That means clear answers, strong source signals, useful formats, and a monitoring loop that treats AI search as its own visibility layer.
Google’s own guidance says sites are eligible for AI features through normal Search crawling and snippet controls, not through a special AI opt-in. In other words, classic SEO still matters, but it is no longer enough by itself. AI Overviews and AI Mode can reach the same conclusion while citing different sources, and those citations can change every few days.
So the strategy is not “rank once and relax.” The strategy is to build a repeatable system.
The reality
Here is the no-bullshit version of what current AI search data implies.
The important takeaway: you are not only optimizing pages. You are optimizing a source ecosystem.

Pick the right queries
Do not start by rewriting your whole site. Start with queries where AI Overviews and AI Mode are likely to appear.
The best candidates usually have informational or commercial investigation intent. Think:
How to solve a specific problem
Best tools for a specific use case
X vs Y comparisons
Step-by-step setup questions
Mistakes to avoid
Checklists before doing something risky or expensive
Definitions with practical implications
Trends, benchmarks, and predictions
The worst first targets are usually pure bottom-funnel queries like pricing, login, coupon, near me, and direct brand searches. Those can still matter for SEO, but they are not where AI Overviews appear most often.
Build a query sheet with these columns:
Use Google Search Console, your keyword tool, competitor pages, and manual Google checks. For AI Mode, convert keywords into natural prompts. For example, turn “Salesforce alternatives for agencies” into “What are the best Salesforce alternatives for agencies and why?”
That small change matters because AI Mode behaves more like a question-answering system than a keyword results page.
Build answer assets
A page that ranks in classic search can still be a bad citation candidate. AI systems prefer passages that are easy to lift into an answer.
Your page needs extractable answer assets. These are short, self-contained blocks that answer one sub-question clearly.
A strong citation block usually has four parts:
Bad block:
AI search is changing the way people discover content, and brands should adapt by creating high-quality content that matches user intent and provides value.
Better block:
To improve AI Overview visibility, create indexable pages that answer one informational query directly, then support the answer with comparison tables, cited facts, clear headings, and internal links to related pages. This helps Google retrieve a useful passage and verify it against the broader topic context.
The second version is more useful because it is specific, complete, and action-oriented.
Use this structure across the page:
If you want a deeper formatting checklist, read our guide on AI Overview SEO page formatting.
Use winning formats
AI Overviews and AI Mode cite pages that help them answer questions quickly. Some formats naturally do this better than others.
The key is matching the format to how your buyer actually asks questions.
For BlogSEO’s audience, the highest-leverage formats are usually tools listicles, comparison articles, how-to tutorials, checklists, case studies, and step-by-step guides.
Example: if you sell email marketing services, a generic post like “What is email marketing?” is usually weak. A stronger AI search asset would be “Mailchimp vs Mailgun: which email platform is better for marketing?” because it matches a real decision and forces concrete comparison.
Example: if you sell LinkedIn ghostwriting, “5 mistakes to avoid when posting on LinkedIn” can work because the answer is naturally chunked into citeable sections.
Example: if you sell business setup services in Dubai, “The 8 steps to start a company in Dubai” works because AI Mode can use the page to answer a process query directly.
For more structure ideas, see our guide to SEO blog examples that get cited by Google’s AI Overview.
Build clusters
One page is rarely enough.
Because AI Mode and AI Overviews can cite different sources for the same conclusion, you need topic depth. That means a hub and several supporting pages that all reinforce the same entity relationships.
A simple cluster for an AI SEO platform could look like this:
Every support page should link back to the hub. The hub should link to each support page. Related support pages should link to each other when the next step is natural.
Do not use repetitive exact-match anchors everywhere. Use descriptive anchors that help users and crawlers understand the relationship. For example, “AI Overview page formatting checklist” is better than repeating “AI Overview SEO” ten times.
If you need a scalable internal linking workflow, use the ideas in our guide on ranking with internal links that scale.
Add proof
AI search systems need confidence. Generic content gives them little reason to cite you.
Add proof that is hard to fake and easy to verify:
Original data from your product, customers, surveys, or experiments
Screenshots or workflow examples where relevant
Expert quotes with names and credentials
Clear citations to reputable sources
Updated dates for time-sensitive topics
Author or reviewer information for trust-sensitive subjects
Specific examples instead of abstract advice
This does not mean every article needs a full research study. It means every important claim should have a reason to be trusted.
For example, a weak claim is “AI Overviews are changing SEO.” A stronger claim is “Ahrefs found that AI Overviews reduced clicks to the #1 result by 58%, which means teams should measure citation visibility and assisted conversions instead of relying only on organic sessions.”
That sentence gives an AI system something concrete to work with.
Fix retrieval
You cannot be cited if your content is hard to access or parse.
Before obsessing over advanced tactics, check the basics:
Google’s documentation on AI features and your website is worth reading because it makes one thing clear: normal Search controls still matter.
Schema is still useful for traditional SEO and for making entities explicit. Use Article, FAQPage, Product, Review, HowTo, Organization, and BreadcrumbList when they genuinely fit the page. But do not treat schema as the main lever. Ahrefs found no meaningful citation lift from adding schema markup, with AI Overviews actually dipping 4.6% in the tested dataset.
Use schema as a supporting signal, not as a strategy.
Win outside Google
One uncomfortable finding from Ahrefs: 67% of ChatGPT’s top 1,000 citations come from sources marketers cannot directly influence, including Wikipedia, homepages, and app stores. Only 32.3% were influenceable content like educational pages, reviews, news, and blog posts.
The takeaway is not “give up.” It is “stop thinking your blog is the whole game.”
Work on assets you can influence:
Do not manipulate Wikipedia. Do not spam directories. Do not buy fake mentions. AI search is noisy now, but low-quality entity manipulation is a bad long-term bet.
The YouTube signal is especially important. Ahrefs found YouTube mentions had the highest correlation with AI brand visibility among the factors studied, at 0.737. For practical purposes, turn your best AI-search pages into short videos, publish transcripts, use consistent terminology, and connect the article and video through natural links.
Measure citations
You cannot manage AI search with only a rank tracker.
For each priority query, track:
Because AI Overviews change every 2.15 days on average, high-value queries should be checked at least twice per week. For lower-value queries, weekly or biweekly checks are fine.
Do not panic when citations rotate. The wording and sources can change while the meaning stays almost identical. Ahrefs found 70% of content differed between consecutive AI Overview observations, but semantic similarity stayed at 0.95.
That means your job is to match and support the stable answer better than competitors.
If you want to build your own tracker, read our tutorial on AI Overview monitoring bots.
Act on signals
Here is how to turn AI search monitoring into fixes.
The worst move is rewriting everything after one snapshot. AI citations are volatile. Make changes only after you see a pattern across multiple checks.
30-day plan
Use this if you want to move fast without creating chaos.
Keep the first sprint small. You are trying to learn which formats, queries, and proof types move visibility for your site.
Once you see traction, scale the pattern.
Common mistakes
The fastest way to waste time is to optimize for myths.
Do not do these:
Do not rely on schema alone to win AI citations.
Do not chase every AI Overview query. Focus on topics that can drive business outcomes.
Do not publish generic AI content with no proof, examples, or original angle.
Do not create several pages for the same intent and cause cannibalization.
Do not measure only clicks, since AI Overviews can reduce clicks even when visibility improves.
Do not copy cited competitors. Reverse-engineer the structure and build something more useful.
Do not ignore YouTube, directories, reviews, and third-party mentions.
AI search rewards clarity, coverage, credibility, and distribution. Boring, but true.
FAQ
Can you guarantee a Google AI Overview citation? No. Nobody can guarantee AI Overview or AI Mode citations. You can only increase the odds by making pages indexable, useful, extractable, trusted, and well-connected within a broader topic cluster.
Do traditional Google rankings still matter? Yes, but they are not the whole game. Strong organic rankings can help discovery and trust, but AI Mode and AI Overviews often cite different sources. Track both classic rankings and AI citations.
Does schema help you rank in AI Overviews? Schema can help clarify entities and support traditional SEO, but Ahrefs found no meaningful citation impact from adding schema markup. Treat it as technical hygiene, not a primary AI search lever.
Which content format should I create first? Start with the format that matches buyer intent. For software and services, tools listicles, comparison articles, how-to guides, checklists, and case studies usually have the best mix of citation potential and business value.
How often should I monitor AI Overviews? For high-value queries, check at least twice per week. AI Overviews change every 2.15 days on average, so monthly tracking is too slow for competitive topics.
Should I optimize product pages for AI Mode? Yes, but do not expect product pages alone to win informational AI answers. Build supporting educational, comparison, and checklist content that links naturally to your product or service pages.
Scale it
Ranking in Google AI Overviews and AI Mode is not a one-page project. It is an operating system: find the right queries, publish the right formats, make pages easy to cite, build topic depth, earn external signals, and monitor the AI layer continuously.
BlogSEO helps automate the execution side: keyword research, website structure analysis, competitor monitoring, AI-powered article generation, brand voice matching, internal linking automation, auto-scheduling, and publishing across multiple CMS integrations.
If you want to build AI-search-ready content without managing every brief, link, and publish step manually, start a 3-day free trial of BlogSEO or book a demo.

