Generative Engine Optimization for AI Overviews and Chat Answers

What is generative engine optimization?

Generative engine optimization (GEO) is the discipline of structuring and strengthening your content so that AI systems that generate answers, rather than just list links, use and cite it. Examples include Google AI Overviews and AI Mode, ChatGPT with search, Perplexity, Microsoft Copilot and Gemini. These systems retrieve passages from the web, synthesise them and often show source links. If your content is not among the retrieved passages, you are invisible in the answer, even if you rank well in classic results.

GEO compared with SEO, AEO and LLMO

• SEO earns rankings and clicks in traditional results.
• AEO targets direct answers, featured snippets and voice responses.
• GEO targets inclusion and citation in synthesised, multi-source AI answers.
• LLMO targets how language models themselves represent your brand.

In practice the work overlaps, which is why we offer an integrated approach through hybrid engine optimization. Our blog post GEO vs AEO vs SEO explains the differences in more detail.

What we do

Query and prompt research

We identify the questions your buyers ask, including long, conversational and multi-step queries that trigger AI answers, and group them by intent: learning, comparing, choosing and buying.

Passage-level content optimisation

Generative systems extract passages, not whole pages. We write and restructure content with clear headings, one idea per section, direct answers up front, concise definitions, specific facts, steps, tables and comparison blocks that are easy to lift accurately.

Evidence and credibility

Content that cites sources, includes original data, names real experts and shows first-hand experience is more trustworthy to readers and to systems evaluating quality. We help add author profiles, references, dates and update notes.

Structured data and clean markup

Valid schema, semantic HTML, descriptive headings, alt text, transcripts and fast, crawlable pages help systems parse your content. We also review robots directives and publish an llms.txt overview.

Topical depth

We build topic clusters so you cover a subject comprehensively, with supporting articles interlinked to a main guide. Depth signals expertise and increases the number of queries where you can appear.

Off-site corroboration

Mentions on reputable publications, reviews, forums, Q&A sites and directories give systems independent confirmation. We support this with digital PR and outreach.

Measurement

We monitor appearance in AI Overviews, citations in chat tools, referral traffic, brand search growth and assisted conversions. Because platforms rarely report this directly, we use a mix of manual prompt testing, third-party tracking tools and analytics.

Realistic expectations

AI answers vary by user, location and time, and platforms change often. We never guarantee citations. What we can do is raise the quality, clarity and authority of your content in ways that help in every channel, including classic search.

Who benefits

Publishers, SaaS companies, ecommerce brands, local service providers, healthcare and finance information sites (with careful compliance), education providers and B2B firms with long research cycles.

Engagement steps

1. GEO audit of current AI visibility and content structure
2. Priority topic and prompt map
3. Content and technical implementation
4. Authority building
5. Monthly reporting and refinement