Not all website pages perform equally well in AI search. Some return confident, useful answers. Others fall short, even when the right information is technically there. This gap is typically caused by the clarity of the content on the page, rather than the way the technology is set up. Often, it comes down to a few small, but specific, writing choices.
This guide shares what we’ve learned from real municipal websites, and what a few minor adjustments can do to improve the answers your residents receive.
A Familiar Starting Point: SEO
If you’ve spent any time thinking about SEO (search engine optimization) this will feel familiar. The content practices that improve AI search results are closely aligned with good SEO writing. Clear headers, natural language, and content that is easy to understand at a glance. The underlying goal is the same: be clear enough that any system or person can understand what a page is saying without interpretation.
There is, however, one important difference between AI search and traditional search in how results are surfaced. AI search doesn’t simply match keywords. It interprets intent. That makes clarity in on-page writing even more important.
The Core Pattern
AI behaves like a fast, literal reader. It follows the same cues a person skimming under time pressure would use: plain language, obvious structure, and meaning that doesn’t need to be decoded.
When content is clear and direct, it performs well across a wide range of questions. When it relies on implied meaning, internal terminology, or buried actions, it becomes much harder for the AI search to surface accurately.
The strongest-performing pages tend to do three things well:
- The purpose of the page is obvious
- The audience is clear
- And it’s clear what to do next
Making Each Principle Work in Practice
The purpose of the page is obvious
The first few lines of the page carry most of the weight. When a page opens by naming its topic plainly, both residents and AI search can immediately confirm they’re in the right place. A heading like “Changes to Commercial Waste Collection” paired with a sentence explaining what changed does far more than a heading alone. Pages that bury the core topic in the second or third paragraph consistently perform worse.
Page titles matter too. A title like “Programs and Services” tells neither a resident nor an AI system what the page actually covers. A title like “Recreational Programs for Seniors” does. The more specific the title, the more reliably the page surfaces for the right questions.
The audience is clear.
Vague audience descriptions create real problems. A phrase like “various commercial and institutional properties” forces a resident to decide whether they qualify. Listing groups explicitly—such as commercial properties, industrial properties, places of worship, and non-profit organizations—removes that guesswork. It also means someone searching in everyday language like “church” or “daycare” can still find the right page. Specificity here isn’t about being exhaustive. It’s about being unambiguous. If lists feel cumbersome, use bullet points.
It’s clear what to do next.
This is where a lot of municipal content falls short. Forms and next steps are often presented as links without any surrounding explanation. A link that reads “Tenant Concern Form” doesn’t tell a resident when or why they’d use it. Without a sentence or two of context, the connection between a resident’s problem and the available action gets lost.
The fix is simpler than it sounds. Writing the action into the body copy, even briefly, is usually enough to make it findable. Something like “If you have a concern about your unit or a neighbouring tenant, use the Tenant Concern Form to submit a report” gives both the resident and the AI search system something to work with. The link is still there. It just isn’t left doing all the work on its own.
What Strong Content Looks Like
Here is an example of strong content that comes from a page explaining changes to commercial waste and recycling services. It’s a straightforward policy update, but it handles an impressive range of resident questions well. Website visitors get accurate answers even when they phrase things differently than the page does. Questions about collection timing, weight limits, eligibility, and the reasons behind the change all map back to the same page reliably.
What’s notable is that the page doesn’t try to anticipate every possible question. It just makes the core information very clear.
The page opens by stating what changed, who is affected, and when it takes effect. That clear and concise framing does most of the work. That means:
- A resident can tell within a few seconds whether the page applies to them
- Impacted groups are written out as distinct items rather than bundled into a broad phrase, which makes the page easier to skim
- Options are labeled plainly and described in a single sentence, related pages are named directly
The result is a page that tells you what’s happening, who it affects, and where to go next, without requiring interpretation.
In Summary: The Content Patterns That Matter Most
A few things show up repeatedly in pages that perform well.
- Clear opening copy makes the biggest difference. When the first few lines on the page explain what it covers, who it’s for, and what someone can do there, the content matches a much wider range of questions in AI search.
- Page titles and metadata carry more weight than most content teams realize. Descriptive, specific titles help AI search match pages to the right questions before a resident even reads a word.
- Naming groups explicitly rather than describing them vaguely helps residents and AI search alike. “Places of worship” and “non-profit organizations” work better as labels than as details buried inside a longer sentence.
- Plain language throughout makes everything else work better. Short sentences, active voice, and everyday words instead of internal terminology all reduce the interpretation burden on both residents and AI search.
- Actions need a sentence of context. Even one line explaining when or why someone would use a form can be the difference between that action being found or overlooked.
- Linking to related content by its actual page title, rather than with generic phrases like “click here” or “see other pages,” helps connect information across a site in a way that’s easy to follow.
A Quick Way To Audit Your Own Pages
Try applying these questions to a few of your highest-traffic pages. They’re the ones where improvement will have the most immediate impact.
If you can check off all four boxes, that page is well positioned to be of use to residents and AI search. One that struggles with any aspect is a good candidate for a small, targeted revision.
The Bottom Line
Residents who get clear answers stay confident in their municipality. Residents who don’t go looking elsewhere, or stop looking altogether.
The good news is that the same writing habits that have always made content effective are the ones that make AI search work well. Plain language, specific titles, named audiences, actions with context. No jargon, no buried steps, no vague references.
Small changes to the right pages can make a real and immediate difference. Start with the pages residents visit most, apply these principles, and see what shifts.
