Answer Engine Optimisation: Preparing Your Agency for AI-Powered Search

The search landscape is shifting faster than most recruitment agencies realise. Google's AI Overviews — the AI-generated summaries that appear above traditional search results — now show on 64% of recruitment-related queries. This fundamentally changes what it means to 'rank' on Google.

What is AEO and how does Redsun support it?

What AI Overviews Mean for Recruitment

When a candidate searches 'average salary for a senior product manager in London,' Google no longer just shows a list of blue links. It generates a summary paragraph that synthesises information from multiple sources — and credits the websites it draws from. Agencies whose content is cited in these summaries see 3× the click-through rate of a traditional position-one organic result.

But there's a catch: if the AI Overview answers the query completely, many users don't click through at all. This means your content strategy needs to serve two purposes: being authoritative enough to be cited in AI summaries, and providing enough unique depth that users want to click through for more.

Structuring Content for AI Citation

AI Overviews preferentially cite content that is structured, specific, and data-rich. Generic blog posts about 'the importance of competitive salaries' won't be cited. A page titled 'Senior Product Manager Salary London 2025: £85,000-£120,000 by Company Size' with structured data, clear tables, and sourced benchmarks will.

The key structural elements that increase AI citation probability: clear H2/H3 heading hierarchy, direct answers to common questions in the first paragraph, data tables with specific numbers, FAQ sections with concise answers, and proper schema markup (FAQPage, Article, or JobPosting schemas).

Beyond Google: The Multi-Engine Future

Google isn't the only AI search engine that matters. ChatGPT's browsing mode, Perplexity, and Microsoft Copilot all pull from web content to answer queries. Each has slightly different citation preferences, but the common thread is clear: structured, authoritative, data-rich content wins across all of them.

For recruitment agencies, this creates a significant opportunity. Most agencies haven't adapted their content for AI search at all. Those that do — by restructuring their salary guides, market reports, and sector analyses for AI readability — will capture a disproportionate share of a rapidly growing traffic channel.

The Practical Playbook

Start with your highest-value content: salary guides and market reports. Restructure them with clear headings that match search queries, direct answers in the first 50 words of each section, and data presented in table format rather than buried in paragraphs. Add FAQ sections that address the specific questions candidates and clients ask. Implement proper schema markup.

Then monitor: Google Search Console now shows AI Overview impressions separately. Track which queries trigger AI Overviews, whether your content is being cited, and the resulting click-through rates. This data will guide your ongoing content optimisation.

FAQs about AEO for recruitment agencies

How does AEO differ from traditional SEO?

AEO focuses on structuring content for AI extraction and citation, while SEO targets traditional search rankings. AEO requires direct-answer blocks, FAQ schema, and entity markup that help AI engines understand and cite your content. Both work together — strong SEO builds the authority that AEO leverages for AI visibility.

Can small agencies benefit from AEO?

Yes — AI engines prioritise authoritative, specific content over brand size. A niche agency with deep sector expertise frequently outperforms larger generalist competitors in AI recommendations. The playing field favours depth over breadth, making AEO particularly valuable for specialist recruiters.

The agencies that understand answer engine optimisation today will own the recruitment search landscape for the next five years. The window for early-mover advantage is still open — but it won't stay open long.