Search visibility no longer guarantees a visit. A Pew Research Center analysis found that users shown an AI-generated Google summary clicked a traditional result only 8% of the time, compared with 15% when no summary appeared. One quarter ended the session without clicking anything.
Brands now need to appear inside the answer itself. Answer Engine Optimisation and Generative Engine Optimisation address that challenge at different levels, while conventional SEO remains the foundation beneath both.
AEO structures the answer AI can lift
Answer Engine Optimisation focuses on direct retrieval. Question-led headings, concise answer-first paragraphs and appropriate FAQ or HowTo schema help a system extract a clear response for snippets, voice assistants and “People Also Ask” results.
The work is tactical. If a user asks a specific question, AEO makes the relevant passage easy to identify and cite. The source recommends answers of roughly 40–80 words rather than an introduction that hides the conclusion.
This matters as impressions rise but clicks fall. BrightEdge reported that Google impressions increased 49% after AI Overviews launched, while click-throughs declined almost 30%. Seer Interactive found a 61% organic CTR decline for queries with AI Overviews.
AEO accepts that the answer may satisfy the user without a visit. The brand gains visibility through citation, not only traffic.
GEO builds authority beyond the company website
Generative Engine Optimisation targets systems such as ChatGPT, Perplexity and Gemini that synthesise across many sources. It relies on semantic topic clusters, strong entity information, multimodal assets and credible mentions across publications, directories, review sites and user-generated content.
This broader web presence matters because research cited in the source found that a brand’s own website represents only 5–10% of sources used by AI discovery platforms. A company can optimise its pages perfectly and remain absent if the wider information ecosystem does not confirm its relevance.
Traditional rankings are also becoming a weaker proxy. BrightEdge found that 89% of AI Overview citations came from pages ranked beyond position 100. Structure and authority signals can surface material that conventional position alone would overlook.
Being cited has measurable value. Seer reported 35% more organic clicks and 91% more paid clicks for brands included in AI Overviews compared with those omitted.
Discovery strategy needs both layers
AEO and GEO are not competing replacements for SEO. AEO makes individual answers extractable. GEO makes the brand a trusted entity across the sources a generative system consults.
The practical starting point is an audit. Teams can ask major AI platforms the questions customers use, record whether the brand appears and examine which sources receive citations instead. The gaps reveal whether the problem is missing direct answers, weak external authority or both.
Marketing leaders are responding. Research cited in the source says 32% rank GEO as their top 2026 priority, 97% report positive results and 93% are building capability internally. High-maturity organisations already spend nearly twice as much as lower-maturity peers.
The urgency grows as AI progresses from recommending to acting. An agent that books or buys may choose among cited brands without presenting ten links for a person to compare.
Clicks will still matter, but they no longer describe the entire discovery journey. Brands need to measure citation presence, source diversity and how accurately AI systems describe them.
The new front door may be an answer assembled elsewhere. AEO helps a useful passage pass through it; GEO helps ensure the brand is trusted enough to be invited in.
This also changes reporting. Marketing teams should track which questions trigger mentions, whether descriptions are correct and which independent sources influence the answer. Visibility without accuracy can spread a misconception faster than an ordinary search result.
