GEO Content Program

Last updated October 14, 2026. Written by the Third Coast AI team.

The GEO content program is a monthly engagement in which Third Coast AI writes or rewrites the pages on your site that AI engines need in order to name and cite you, using briefs modeled on the pages those engines already trust, a publish gate that checks every page against the decision factors before it goes live, and a verification step that re-runs the original prompt set to see whether the answers changed. It follows an AI search visibility audit, it runs in monthly cycles, and it is priced as a monthly retainer, with the fee quoted after a short scoping call.

The program exists because the audit always produces the same finding in different clothes: the site does not say, in a form an engine can lift, the things that would make the engine choose you. Fixing that is writing work, but it is writing with a very specific target, and the target is set by the engines rather than by a keyword tool.

Which pages does the program produce?

Four kinds, in roughly this order of priority. First, decision-factor pages that state and prove the criteria the engines use when they compare companies in your category. Second, comparison and buyer's-guide pages that answer the hidden searches behind the buyer's question. Third, correction pages that fix what the engines get wrong about you, often a pricing page, a service-area page or a plain statement of what you do and do not do. Fourth, the regional and use-case pages that let a prompt with a town or an industry in it find you.

We do not write volume for its own sake. Glenn Gabe documented a site that published 850,000 AI-generated URLs and received a manual action from Google, and the pattern of rapid rise and crash is common enough that practitioners have a name for it. A typical month in our program is four to eight pages written or rebuilt, each one aimed at a named prompt cluster, and the number goes down rather than up as the site gets healthier.

Why model briefs on cited pages instead of on keywords?

Because the engines have already shown us what they like. For each topic cluster in your prompt set, the audit captured which pages were cited and how often. We read those pages closely, and the brief for your page describes their shape: where the direct answer sits, how many sourced statistics appear, whether there is a table or a definition, how the headings are phrased, how long the page is, and what the cited pages all say that yours does not.

The research backs this up. Aggarwal and colleagues at Princeton tested nine tactics in the first GEO paper (KDD 2024) and found that adding quotations lifted citation visibility by about 41%, adding statistics by about 33%, and citing sources by about 28%, while keyword stuffing cut it by 9%. Zhang and Yao's 2026 follow-up on 21,000 citations found statistics-heavy content was absorbed into answers at a 62% higher rate. A brief built on those patterns, and on the specific cited pages for your topic, is a better target than a keyword density score.

Does every page go through a gate before it is published?

Yes, and the gate is the part clients come to value most. Before a page goes live it is checked against a fixed list, and if it fails, it goes back to the writer.

• The first 150 to 200 words answer the page's question directly, without a warm-up.
• Every decision factor assigned to the page is stated plainly and backed by a number, a named source or a verifiable claim.
• At least three sourced statistics, at least one attributed quote, at least one list and one table or definition, because those are the elements the Princeton and Zhang and Yao studies measured.
• Headings phrased the way buyers ask, varied so the page does not read as a template.
• Nothing invented: no claims, awards, numbers or client names that cannot be shown. Anything we cannot verify is marked for you to confirm or cut.
• Visible in the raw HTML, since ChatGPT's retrieval does not execute JavaScript, with schema that matches the visible text.
• Written in your voice. The engines are reading for substance, and your customers are reading for whether they trust you.

Will I know whether it worked?

That is what verification is for. After each monthly batch is indexed, we re-run the prompts the batch was aimed at and record whether you are now named, where, and whether the new page is among the citations. We also keep the fact-check prompts running, because an engine that was wrong about your pricing last month can be wrong in a new way this month. The report you get is the prompt-level change, not a vanity score, and the bad months are in it alongside the good ones.

We ask for a six-month initial term because that is how long the loop realistically takes to show a trend rather than noise, and because freshness is a real signal: half of Perplexity's citations are to content under 13 weeks old, and for freshness-sensitive queries 76% of ChatGPT's top-cited pages are under 30 days old. After six months the engagement goes month to month.

Who does the writing?

A small writing team based in Holland, Michigan, where this method runs every week for clients in restaurants, home services, swim schools, consumer food, climbing gyms, legal and professional services. Your subject-matter expert reviews every page before it goes live, and if you would rather your own team write from our briefs, the program can be scoped as briefs plus gate plus verification only, which costs less and works well for companies with a marketing writer on staff.

Should I expect traffic to go up?

Not necessarily, and we would rather say that now. Glenn Gabe's panel of sites still shows AI search sending under 1% of visits to most of them. What changes is who gets named when a buyer asks, and what those visitors do when they arrive: Semrush logs a 4.4 times higher conversion rate for AI-search visitors than for classic organic traffic. The measure we report is being named and cited for the prompts that matter, and the business measure you should watch is inbound lead quality. .

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