What ranks in the top results
Ahrefs studied 1,000,000 pages from the top 10 results across 100,000 searches. Source: Ahrefs, July 2026
Webiyo writes the pages only your business could have written. AI helps us research and draft. A person checks every claim against a named, dated source, edits the whole piece, and approves it before it goes live. Every page gets a review date, so its facts don't go stale.
Every statistic has a named, dated sourceA person approves everythingReviewed on a schedule
Replace it if it is a recalled model or the breakers trip under normal load. Repair makes sense when one breaker has failed and the rest of the panel is sound.
That is the rule our lead electrician uses on every call, and it is why two homes with the same symptom can get different quotes.
An illustration of the kind of page we write. The details come from your business.
Anyone can generate a page in ten seconds, which is why those pages are worth so little. The web is filling up with the same competent, generic article, written for no one in particular.
of 900,000 newly published pages contained AI-generated content
Ahrefs, May 2025were purely AI. Another 71.7% were a mix of AI and human writing
Ahrefs, May 2025were purely human
Ahrefs, May 2025of the content marketers Ahrefs surveyed said they use AI to help create content
Ahrefs, May 2025Google's guide to AI search names the trap: don't recycle what others have already said, or what a generative AI model could easily produce. If a model can write your page in ten seconds, an AI engine has little reason to send anyone to it. The pages that get named have something a model cannot supply: a real price, a real decision rule, a real number with a real source.
Google's spam policy targets many pages generated mainly to manipulate rankings, however they were made. The test is intent and value, not the tool. Then look at what ranks.
Ahrefs studied 1,000,000 pages from the top 10 results across 100,000 searches. Source: Ahrefs, July 2026
more visibility in generative engines from adding quotations, statistics and sources. A research benchmark, not a promise.
Researchers tested rewrites across 10,000 queries. Adding quotations, statistics and sources lifted visibility most. Keyword stuffing did not help. Source: Princeton and IIT Delhi
How often ChatGPT used the page
Across 1.4 million ChatGPT prompts, pages with plain, descriptive URLs were picked more often than opaque ones. Source: Ahrefs, April 2026
Across 16.975 million URLs, the pages AI assistants linked to were 25.7% fresher than Google's organic results. It varies by engine. Source: Ahrefs, July 2025
Pages with low or moderate AI content earned 2 to 3 times the impressions of pages with high AI content, across 80,861 pages tracked in Search Console. Ahrefs' conclusion is that Google does not punish AI content, it punishes bad content. We read it the same way: the risk is a page no person has checked, cut, or added anything to. So we use AI the way an editor uses a fast research assistant. It is never the author.
Sources: Ahrefs, July 2026 · Google spam policies, scaled content abuse · Google's guidance on generative AI content
Google's guidance on helpful content includes a list of self-check questions. We use them as a scorecard, and a piece is not approved until it passes.
It should be obvious, with a byline that leads to a real person and real background.
If automation or AI helped, readers should be able to find that out where it makes sense to say so.
To help someone with a specific problem, not to catch a keyword.
Original information, research, reporting or analysis, not a summary of what already ranks.
Substantial value compared with the other pages in the results.
They should finish feeling they learned enough, not needing to search again.
Google also says E-E-A-T is not itself a ranking factor and there is no score to hit. It describes signals its systems look for, so we build those signals into the writing. Source: Google, creating helpful content
Who is asking, what they are trying to decide, and which page currently answers it, and how well.
A short call with you or whoever does the work. The material only your business has comes from this call: how you price, how you decide, what you have seen go wrong.
Every claim traced to a primary source: the study, the agency, the regulator. Each source gets a name and a date. If we cannot confirm it, it does not go in.
AI helps here, organizing the research and writing a first pass. Nothing at this stage is publishable.
Every draft runs through a checker built to fail it: filler phrases, a statistic without a named and dated source, a link to a page that does not exist, missing dates.
A person reads all of it, cuts the padding, and fixes what is wrong. Nothing goes live without a person's sign-off.
Every piece gets a review date tied to how fast its facts change. Pages with prices or statistics come back sooner.
We never change a page's "updated" date without changing something on the page.
Send us your website. The free audit shows where you show up on Google and in AI answers, and what we'd fix first, within 24 hours.
One page for each thing you sell, with the specifics: what is included, how it is priced, how long it takes, who it is for.
The page every customer looks for and most businesses hide. How pricing works, what moves it, and the ranges you would quote.
Repair or replace, do it yourself or hire someone, written from the decision rules you use.
Direct answers to the questions customers ask before they call, built from your real calls and emails.
Who is behind the work, in specifics that can be checked.
Pages that still rank but say things that are no longer true.
"How to choose an electrician: check that they are licensed, read their reviews, and get more than one quote."
An illustration of the difference in kind, not a client example. The details come from your business, which is why they cannot be generated.
Agency content programs commonly run $5,000 to $20,000 a month for full service, or $400 to $1,200 per piece for one-off B2B work. Most of the gap between the cheap end and the expensive end is research and editing time, the two steps a model cannot skip for you.
Ours is scoped to how many pages you need and how fast the facts in them change, not billed per word. Tell us what you want to be picked for and we will tell you what it would take.
Something we didn't cover? Ask us
AI helps us research and draft. It never publishes anything. Every claim is checked against a named source, a person edits the whole piece, and nothing goes live without a person's approval.
Not for using AI. Google's spam policy targets many pages generated mainly to manipulate rankings without helping anyone, however they were made. Ahrefs' July 2026 study found AI content across the top 10 results, and found that heavier AI use tends to come with weaker performance, which it reads as a quality problem and not a penalty. A page a person has checked and added real substance to is the opposite of what that policy targets.
A model can only work from what is already published, which is why its output tends to be the commodity content Google warns against. We start from what only your business has: how you price, how you decide, what you have seen go wrong. Then we verify every outside claim against its source and have a person edit the result.
If you want us to. Google suggests explaining how content was created where it makes sense for your readers, along with a clear byline. We can add a short note to each piece. It is your call.
No. Google says you do not need to write a special way for generative AI or break content into tiny pieces. We lead with the direct answer because readers want it first, then give the detail and the evidence. That works for people and machines alike.
Yes to both, at no extra charge. Structured data goes wherever it accurately describes what is on the page. It is not an AI shortcut: Ahrefs found no meaningful lift in AI mentions after 1,885 pages added it. We add an llms.txt file too, though Google says it ignores them, and Ahrefs found that 97% of the llms.txt files it checked received zero requests in a month. Neither one replaces a page worth quoting.
It depends on the facts in it. Pages with prices, statistics, rules, or service details have a shelf life and get reviewed sooner. Evergreen explainers can go longer. ChatGPT in particular leans toward newer pages, so a page with outdated facts loses ground even when it is otherwise strong.
Only if each page has something real to say about that place. Google's doorway abuse policy names pages targeted at specific cities or regions that funnel people to one place as a violation. If it is the same page with the town name swapped, we will not write it.
A short call with whoever does the work, real numbers for anything you want quoted, your existing pages, and the questions customers ask most. Then your approval before anything goes live.
No, and nobody can. What we can do is write pages built on what the research shows helps, then show you week by week, through Answer Check, whether AI engines are mentioning you for the questions each page targets.
Send us your website and tell us the page you most want AI engines and Google to pick you for. We will tell you what is missing from it.
Audit back in 24 hoursMonth to month, no contractPlans from $397 a month