Google AI Overview Readiness Guide | Sticky Frog
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Google AI Overview
Readiness Guide.

24 checks across four categories. Find out exactly where your content stands, and what to fix to get cited in AI Overviews.

24 checks
4 categories
Tick as you go
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Content Structure
AI Overviews pull from content that answers questions directly and clearly. Structure is the foundation.
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Your page has a clear, question-based H1
AI Overviews favour pages that directly answer a question. "What is X?" or "How to Y" headings match query intent precisely.
3 points
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The first paragraph provides a direct, concise answer (40–60 words)
AI systems look for an "answer paragraph" near the top of the page. Don't bury the answer after 3 paragraphs of context.
3 points
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Subheadings (H2/H3) are question-format or clearly descriptive
Each subheading should signal a subtopic AI can extract independently. Avoid clever or vague headings.
2 points
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Key terms are defined on the page
If your content uses specialist terminology, define it. AI systems extract definitions and use them in overviews.
2 points
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Content uses numbered lists or bullet points for step-by-step information
Structured lists are highly extractable. AI Overviews regularly pull numbered steps directly into responses.
2 points
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Page includes a dedicated FAQ section
FAQ sections with clear Q&A pairs are one of the most reliable triggers for AI Overview inclusion.
2 points
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Technical Signals
Schema markup and technical implementation help AI systems understand and categorise your content accurately.
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FAQ schema markup is implemented on question-based pages
FAQ schema explicitly tells Google which content is a question and which is the answer, directly improving AI Overview eligibility.
3 points
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Article or HowTo schema is in place where relevant
Structured data helps AI systems categorise your content type and extract relevant passages more reliably.
3 points
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Page loads in under 3 seconds on mobile
Core Web Vitals are a ranking factor that affects AI Overview eligibility. Slow pages are deprioritised.
2 points
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Author markup with real author entity is present
E-E-A-T requires clear authorship. Author schema linking to a Person entity improves trust signals for AI retrieval.
2 points
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Page is indexed and has no noindex tags
Sounds obvious, but confirm in Search Console. AI Overviews only pull from indexed content.
1 point
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Meta description accurately summarises the page answer
While not a direct ranking factor, a clear meta description signals strong content-to-query alignment.
1 point
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Authority & Trust (E-E-A-T)
Google uses Experience, Expertise, Authoritativeness and Trust signals to decide which sources to cite in AI Overviews.
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Content includes first-hand experience or original insight
The "Experience" in E-E-A-T. Content that shares real-world experience or proprietary data signals authenticity AI favours.
3 points
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Your brand has external citations, press, industry sites, podcasts
Third-party mentions are the strongest authority signal. AI systems look for consensus across the web before citing a source.
3 points
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Author has a detailed bio with credentials and links to social profiles
A credible author entity strengthens E-E-A-T. Link the author bio to LinkedIn, publications, or other authority signals.
2 points
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Content cites external sources and data where relevant
Outbound links to authoritative sources signal research rigour. AI systems value content that contextualises claims.
2 points
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Page has a clear "last updated" date
Freshness matters for AI Overviews, especially for topics where information changes. Date-stamped content is preferred.
1 point
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Depth & Uniqueness
AI systems prioritise content that adds something beyond what's already available, original ideas, data, or frameworks.
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Content introduces a named framework, methodology, or original term
Proprietary concepts are uncitable without referencing you. They force AI to credit the source, the strongest citation signal available.
3 points
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Content includes original data, research, or statistics
Original data is one of the most powerful AI citation triggers. If you've run a survey or have proprietary data, publish it.
3 points
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Content goes beyond what AI can already summarise from existing sources
Ask: "could ChatGPT generate this without my page?" If yes, the content has no competitive advantage. Add perspective, nuance, or data.
2 points
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Content addresses a specific, high-intent query rather than a broad topic
AI Overviews are triggered by specific queries. Focused, intent-matched content is far more likely to be cited than broad explainers.
2 points
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Content length is appropriate, comprehensive but not padded
There's no ideal word count. AI prefers content that fully answers a query without unnecessary padding. Quality over quantity.
1 point

You're AI Overview ready.

Your content is well-positioned for AI Overview inclusion. Focus on maintaining freshness and expanding your external citation signals.

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Frequently Asked Questions

Common questions about AI search, AEO, and how Sticky Frog helps B2B businesses get cited by AI engines.

What is AEO (Answer Engine Optimisation)?

AEO stands for Answer Engine Optimisation. It is the practice of structuring your website content, entity data, and online presence so that AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite your business in their generated answers. Unlike traditional SEO, which targets click-through traffic, AEO targets citation: being the source an AI engine recommends when someone asks a relevant question.

Why does AI search visibility matter for B2B businesses?

B2B buyers increasingly use AI tools like ChatGPT and Perplexity to generate vendor shortlists before making contact. If your business is not cited by these AI engines, you are invisible to these buyers at the most critical point in their decision-making process. AI shortlisting makes AI search visibility a strategic priority for any B2B business.

What is the difference between SEO, AEO, and GEO?

SEO focuses on ranking in traditional Google search results. AEO (Answer Engine Optimisation) focuses on being cited in AI-generated answers on ChatGPT and Perplexity. GEO (Generative Engine Optimisation) focuses on appearing in outputs of generative AI tools. Sticky Frog specialises in AEO for B2B businesses and professional services.

What is an llms.txt file and does my website need one?

An llms.txt file is a plain-text file at the root of your domain that tells AI language model crawlers what content to index, trust, and cite. It is the AI equivalent of robots.txt. Most business websites do not yet have one, making it a meaningful competitive advantage in AI search visibility.

How long does it take to see results from AEO?

AI search visibility improvements can begin within 4 to 8 weeks for technical fixes like schema markup and llms.txt. Content-driven citation builds over 3 to 6 months. The AI Visibility Accelerator is a minimum 6-month engagement delivering results across ChatGPT, Perplexity, Google AI Overviews, YouTube, and Reddit.