Start With the Question, Not the Keyword
Most GEO content is briefed from a keyword list, and that is the wrong input. A model is not matching a string against a page. It is assembling an answer to a question somebody asked in their own words, from passages it can stand behind.
A keyword tells you what a page is about. A question tells you three harder things: what claim the page has to make, who it has to name, and what has to be true for a model to repeat it without hedging.
Two habits produce the same failure. Content written purely for marketing says what the brand wants said. Content written purely for a model says what a model is assumed to reward. Neither one answers the question a person asked. Write for the customer. The model is working on that same question.
The failure looks the same every time. A brand publishes forty pages, every one of them gets crawled, and almost none get reached for during a real conversation. The pages are readable. They are indexed. They contain no answer to anything anybody asked.
Framing is a separate step, and it comes first. Decide what your brand is claiming before deciding what to publish.
The Five Questions
Five questions cover everything a model needs in order to recommend a brand. They run outward, from the product to the company to the person choosing.
What makes your product special?
The attribute-level claim. What it does, what it is made of, what it does better and by how much.
What sets your brand apart?
The company-level claim. Who you are, how you operate, what you refuse to do that others will.
What customer need are you fulfilling?
The problem in the customer's language, not the category name you file yourself under.
What is keeping a new customer from shopping with you rather than a competitor?
The objection. The reason someone comparing you to an alternative picks the alternative.
What is keeping an existing customer loyal?
The reason for the second purchase, which is rarely the reason for the first.
The first three describe you, and most brands already publish some version of them. The last two describe a decision somebody is making about you, and almost nobody publishes those at all. That asymmetry is the single most common finding when we audit a catalog for AI visibility.
Why These Five and Not a Keyword List
People do not talk to a model in keywords. They describe a situation and ask for a recommendation, and the shape of those prompts is consistent enough to plan against. Every one of them resolves to one of the five.
Questions four and five decide the purchase, and they are the two the catalog cannot answer. A model asked a comparative question still produces a comparison. It builds that comparison out of reviews, forums, and whatever your competitors wrote about the category. Those are the only sources that engaged with the question.
Working Through Each Question
For each question below: what a model needs to find, what most brands publish instead, and the shape of the passage that fixes it.
What makes your product special
- What a model needs
- A specific, bounded attribute claim it can repeat without adding anything. Named subject, one property, and the number or condition that makes it checkable.
- What gets published
- Adjective stacks. Premium construction, thoughtfully designed, built to last. None of it can be repeated. None of it says anything a model could be wrong about.
- What to write
- Replace each adjective with the fact underneath it. "Built to last" becomes the material, the tested cycle count, and the length of the warranty that backs it.
- The test
- Put a competitor's name on the sentence. A sentence that stays true was never a claim.
What sets your brand apart
- What a model needs
- Facts about the company that hold across the whole catalog: how long you have operated, how you make or source, what you will not do, who stands behind the product when it fails.
- What gets published
- An About page written as autobiography. Founding story, values, a photograph of the team. It reads well and contains almost no repeatable fact.
- What to write
- The operating facts, stated plainly and dated. A model recommending a brand needs a reason it can attribute, and "family owned since 1974, all repairs done in house" is a reason. "We care about quality" is not.
- The test
- Remove your logo from the page. A reader who cannot name the company from what is left has read nothing a model can use either.
What customer need you are fulfilling
- What a model needs
- The problem described the way the customer describes it, sitting in the same passage as the product that solves it. This is the bridge between a situation somebody types and a thing you sell.
- What gets published
- Category language. Brands write "technical outerwear" while customers write "I get soaked walking in from the parking lot." Those two phrases never meet on the page, and the model never connects them.
- What to write
- Take the ten situations your support inbox and reviews actually describe. Write each one in the customer's words, then answer it in the same passage. Support tickets are the highest-value content brief most brands already own and never read.
- The test
- Search your own site for the phrase a customer would use. Zero results means you have written about the category and never about the need.
What is keeping a new customer from choosing you
- What a model needs
- An honest account of where you fit against the alternatives, including the cases where you are the wrong answer. Comparative prompts are among the most common purchase questions people bring to a model.
- What gets published
- Nothing, usually. Where a comparison does exist it is a table where the brand wins every row, which a model will treat as marketing and weight accordingly.
- What to write
- Name the objection and answer it in the same passage. Price, switching cost, sizing risk, delivery time, whatever the real one is. Then name the customer you are genuinely not right for.
- The test
- Find the concession. A comparison that concedes nothing carries no information, and it reads as promotional to a model exactly as it does to a person.
What is keeping an existing customer loyal
- What a model needs
- Evidence about what happens after the purchase: durability over time, service, repairs, replacement, how the second and third order differ from the first.
- What gets published
- Acquisition content only. The catalog is written entirely for someone who has never bought, and the entire post-purchase relationship lives in a help center excluded from crawling.
- What to write
- The long-run facts. Reorder rates, repair policy, how the product ages, what owners say after two years. "Worth it" is a question about year three, and it is asked constantly.
- The test
- Check whether your help center and policy pages are crawlable. This is the one failure on the list that is technical rather than editorial, and it is common.
The Passage Has to Survive Being Lifted
Search retrieves pages, and a person decides what to read once they arrive. A model retrieves passages and assembles them, so every sentence you want repeated has to work with everything around it removed.
That constraint separates content that gets cited from content that does not. Three things have to sit inside the sentence rather than around it.
One product line, written both ways.
It is designed for demanding conditions and built with premium materials for lasting performance.
No subject, no measurable claim, nothing a model could be held to.The Harrow parka uses a 20,000mm waterproof membrane and is rated for sustained rain down to minus 10 Celsius, though it is too warm for anything above 12 Celsius.
Named, specific, bounded, and it concedes a limit.Turning the Five Into a Content Map
The five questions do not each become one page. They distribute across page types you already own. This is a framing exercise before it is a production one.
Two of those rows are the ones that move the number. Comparison content, because it answers the question that decides the purchase and almost nobody has written it. Help and policy content, because it answers question five and is frequently blocked from crawling by a robots rule nobody has reviewed in years.
Check which of your existing pages a model has already read and never used. That list is a framing audit you do not have to commission, and it is sitting in your server logs right now.
Knowing Whether the Framing Worked
One measurement judges framing. A page that AI crawlers have read and never fetched into an answer has cleared every other explanation. It was reachable, so robots rules and rendering are fine. It was read, so the model has the content. What is left is the writing.
Crawled but not cited is the closest thing to a direct score on framing. Watched over a few weeks after a rewrite, it settles the question content work usually cannot: whether the change was an improvement or an opinion.
Fix access first. A page a crawler cannot reach will never be cited no matter how well it is written. Once access clears and pages are being read, every remaining gap is a framing gap, and the five questions close it.
Add our GEO, SEO and AI visibility team to yours.
Framing a catalog around these five questions is work, and it runs alongside the team you already have. We write the passages, fix the access problems underneath them, and prove the result from your own server logs. WISLR AI Channel Analytics keeps the standing list of pages crawled but not cited, which is where the audit starts.