From Search to Synthesis: Answer Engine Optimization in the AI Age

By CJ Collins

“Distribution now has two audiences: human journalists and machine summarizers.” CJ Collins offers tips for communicators to ensure discoverability of content through answer engine optimization (AEO).

For nearly two decades, communications teams have built content for Google. Headlines, keywords, metadata and backlinks guided how we drafted press releases, blogs and corporate announcements. However, with the increased use of artificial intelligence (AI) assistants for searches, that centre of gravity is shifting.

“More and more people are going to be turning to tools like ChatGPT, as well as Copilot, Perplexity, Meta and others for search,” said Emily Baillie, an AI and marketing trainer and professor with Compass Content. “That means businesses and nonprofits that rely on search traffic are now having to rethink their strategy.”

Most generative AI systems do not return source links, except when referencing live web material (as ChatGPT does). Their primary function is synthesis: condensing and prioritizing information for the user. In this emerging era of synthesis over search, communicators must ask: how can we ensure our messages are discoverable and meaningful?

Adopting Answer Engine Optimization (AEO)

Answer engine optimization, or AEO, builds on search engine optimization but adapts to the way AI responds in full sentences to natural questions.

“Answer engine optimization takes a conversational approach,” Baillie said. “We want to make sure our content is optimized for that, if it makes sense. And we want to make sure the content itself is high quality.”

Communicators can take steps to maximize AEO, so their content appears in AI answers.

1.     Treat AI Iike a new distribution channel

AI assistants draw on two broad sources: historical training data, which are static snapshots of the public web, and live retrieval, where the system searches the internet or connected knowledge bases in real time. If your content is not discoverable to either source, it is unlikely to appear in an AI answer.

“This is changing the game,” Baillie said. “People are getting the answer they need from inside the AI tool.” She noted the rise of zero click behaviour, where users read a synthesized response and do not visit a website. The implication is that distribution now has two audiences: human journalists and machine summarizers.

Communicators should design releases, advisories and explainer pages that machines can interpret instantly. That includes clear titles that mirror likely questions, scannable subheads and concise summaries high on the page. “AI search engines are going to want to pull information that is clear, useful and answers a question,” Baillie said. “Case studies, testimonials and personalized posts from leaders are the kinds of things AI can’t easily replace.”

2.     Publish on crawlable, high authority platforms

If a release sits only on a paid wire behind a login, most AI systems will not see it. To maximize visibility, host releases in a public newsroom on your site and cross publish to platforms with strong authority signals.

“Reviews are super important, and coverage on third party sites is super valuable,” Baillie said. She pointed to rankings, credible lists and sector roundups as signals that help answer engines choose sources. “If your organization is ranked on another website, that’s really going to help.”

In practice, that means:

• Publishing in a public newsroom with permanent URLs with fast load times.
• Cross posting adapted versions to LinkedIn Articles, Medium or Substack, which are frequently crawled.
• Marking up pages with schema so machines can parse the who, what, when and where.
• Ensuring executive profiles on LinkedIn are active and link back to authoritative resources.

Strong SEO still matters. “If you have really strong SEO already, that’s going to help your answer optimization,” Baillie said. AI systems often default to sources search engines already trust.

3.     Write for machines and humans

Traditional SEO rewarded tight keyword clusters. AEO rewards clarity, authority and question led structure. Users ask AI tools for specific outcomes, not just nouns. Communicators should mirror that voice.

Use direct, question driven phrasing: What is the impact of policy X on small exporters. Why our product reduces processing time by 30 per cent. Add statistics, quotes and short FAQs that map to common queries. “If you have a basic prompt, you’ll get a basic answer,” Baillie said of working with AI. The same applies to what AI finds on your site. Thin or vague copy yields thin or vague summaries.

Baillie warned against shipping the first draft machine copy. “I see a lot of brands use the first draft of AI and it’s very apparent,” she said. “It looks like the brand has been phoning it in. That’s disengaging at a time when brands need to work really hard to stand out.”

Make pages skimmable for people and parsable for models. Lead with the answer, support with credible detail, and trim filler. “We don’t want fluff,” Baillie said. “We want clear descriptions of each product or service in plain language so the AI tools can pull from that.”

4.      Build credibility signals

Answer engines weigh trust. They prefer sources with consistent identity, independent validation and signals of real-world relevance.

Backlinks from trade associations and reputable media matter. So do reviews and third-party rankings. “It’s like validation,” Baillie said. “A robust LinkedIn presence or media mentions in reputable outlets can all support answer optimization.”

Consistency also counts. Publish at a steady cadence so your brand becomes a familiar presence in the data. Human-centred assets help: original case studies, named experts with clear credentials and quotes and reference material others can cite. As Baillie put it, “If people can get anything they want from AI, why would they visit your website? They’ll come because you have resources, downloads, videos, human profiles and opinions they can’t get anywhere else.”

5.      Measure, learn and adapt

Measurement for AEO is at an early stage. Baillie expects new tools to emerge but recommends hands-on testing now. “Start looking up your own brand on various AI platforms and test it out,” she said. “Are you ranking? Are you mentioned? If not, who is being mentioned and why?” Use AI for competitive analysis, then validate the findings before acting.

She also urged teams to invest in skills. Prompting is now a communications craft. “Learning how to structure a prompt, what to ask for and how to ask it can unlock a lot of possibilities,” she said. More broadly, the durable skill is continuous learning. “It’s not about what school you went to,” Baillie said. “It’s about how well you can adapt, upskill and apply what you’re learning in real time.”