Being Cited Is the New Ranking: A Communications Plan for AI Search

For twenty years, the goal of search was simple: rank on page one and win the click. That goal is quietly changing. When people ask Google, ChatGPT, Gemini, or Perplexity a question, they increasingly get an answer instead of a list of links. The brands named inside that answer win attention. Everyone else is invisible, even if they rank.

The numbers make the shift hard to ignore. Pew Research Center found that users clicked a traditional result in only 8% of visits when a Google AI summary appeared, compared with 15% when it did not. Ahrefs’ February 2026 analysis of 300,000 keywords found the top-ranking page earned about 58% fewer clicks when an AI Overview was present. Yet Seer Interactive found that brands cited inside an AI Overview earned 35% more organic clicks and 91% more paid clicks than brands left out.

So the new question for marketing leaders is not only “Do we rank?” It is “Are we the source AI trusts enough to cite?” That is a communications question as much as an SEO one. Here is how we approach it.

What generative engine optimisation really means

Generative engine optimisation (GEO) is the practice of making your brand easy for AI systems to find, understand, trust, and cite. It does not replace SEO. Clean technical foundations, fast pages, and helpful content still matter. But GEO adds two things classic SEO often treated as secondary: what other credible sources say about you, and how clearly your own content answers real questions.

AI trusts what others say about you

Muck Rack’s May 2026 “What Is AI Reading?” study, which analysed more than 25 million links cited by ChatGPT, Claude, and Gemini, found that earned media accounted for about 84% of citations. Paid and advertorial content made up just 0.3%. Muck Rack counts journalism, academic research, government sources, encyclopaedic sites, and third-party content as earned.

The mix is moving, too. In its October 2026 update, Muck Rack reported that journalism’s share of AI citations had dropped from about 27% to 22%, while earned and third-party sources overall stayed at roughly 84%. In other words, it is not enough to chase one big headline. AI rewards a consistent footprint across many credible places.

A one-page communications plan for AI search

We start every GEO engagement with strategy, not tactics. These are the five parts of the plan.

• Define the questions you must own. List the 20 to 30 questions your buyers ask before they shortlist a supplier: “best X for Y”, “how to choose Z”, “X vs Y”. These are your priority prompts.
• Audit your AI visibility. Ask the major AI assistants those questions and record who gets named, which sources are cited, and how your brand is described. Repeat monthly, because answers change.
• Close the earned media gap. Map the publications, associations, research outlets, and review sites that AI cites in your category. Then build a PR and thought leadership plan to be present there with data, expert commentary, and case studies worth citing.
• Make your own content answer-ready. Lead with direct answers, use clear headings, publish original data, keep facts current, and show who wrote it and why they are qualified. Vague brand copy rarely gets cited.
• Keep your story consistent. Your positioning, product names, leadership bios, and key numbers should match across your website, LinkedIn, press materials, and partner pages. Inconsistency confuses people and machines alike.

How to measure it

Traffic alone will undercount your progress, because many AI answers never send a click. We track a small set of measures alongside classic SEO:

• Share of AI answers: how often your brand appears for your priority prompts, compared with competitors.
• Citation sources: which outside pages AI uses when it mentions you, and whether they describe you accurately.
• Sentiment and accuracy: whether AI describes your brand the way you would, and where it gets facts wrong.
• Branded search and direct traffic: people who hear about you in an AI answer often search for you by name later.
• Lead quality: what visitors from AI referrals do once they arrive.

Three mistakes to avoid

• Treating GEO as a technical trick. Schema markup and llms.txt files may help AI read your site, but reports so far show no reliable citation boost from markup alone. Credibility is earned off your site.
• Buying your way in. Paid placements and advertorials barely register in AI citations. Budget is better spent on stories journalists and researchers want to reference.
• Publishing more of the same. AI already has a thousand generic “ultimate guides”. Original data, real expertise, and a clear point of view are what get picked up.

Where to start this quarter

Pick your ten most commercially important questions. Check what AI says today. Identify the three outside sources that appear most often in those answers, and make a plan to earn a place in them. Then rewrite your top five pages so they answer those questions in the first paragraph. It is a small start, but it turns AI search from a black box into a channel you can plan, measure, and improve.

AI search rewards brands that are easy to trust. That has always been the job of good communications. The difference now is that the audience includes machines, and they read everything.

If you want to know how your brand shows up in AI answers today, and what it would take to be the source that gets cited, start a project with us.

Sources

• Google users are less likely to click on links when an AI summary appears in the results. Pew Research Center (July 2025).
• Update: AI Overviews reduce clicks by 58%. Ahrefs (February 2026).
• The State of AI Search and LLM Marketing 2026, summarising Seer Interactive’s citation and click-through findings.
• What Is AI Reading? May 2026. Muck Rack.
• Muck Rack’s “What Is AI Reading?” report finds journalism’s AI citation share falls to 22%. Unite.AI (October 2026).
• GEO, AEO, and SEO in 2026: the enterprise guide to AI visibility. WRITER (2026).