A founder in r/AskMarketing asked whether it made sense to launch a product and churn out articles on the product's site. The top reply said a bunch of new articles probably won't rank for a while. It suggested a few focused pages first, like comparisons, alternatives, case studies and problem-and-solution pages.
Is writing articles/blogs still a valid strategy for SEO?
Suppose I launch a new product, does it ever make sense to focus on just churning out articles on the product's website? My understanding is that you need backlinks from credible sites to increase SEO, so in the short term, it probably won'...
That's close to what the data showed when we looked at content creation for brands from the other end. We checked which brand pages Google and AI answers actually use, in two studies run on October 19, 2026. The answer wasn't the blog, at least not first.
What AI answers quote from brand sites
For our brand sentiment study, we asked ChatGPT and Google 48 questions about 24 brands, like "is Gusto worth it" and "what are the biggest complaints about Ruggable." Between them, the answers cited 54 different pages on those brands' own sites.
| Brand page type | Pages cited | Examples |
|---|---|---|
| Help center and FAQ | 12 | Rover and TaskRabbit fee articles, Chime's FDIC page |
| Product and collection pages | 10 | Allbirds Tree Runners, Casper mattresses |
| Pricing pages | 7 | Close, Copper, Mailchimp, Pipedrive |
| Comparison pages | 7 | Six Copper vs posts, FreshBooks vs QuickBooks |
| Homepage | 5 | Brooklinen, HelloFresh, Ruggable |
| Warranty, returns and policies | 5 | Away's lifetime care, Brooklinen's refund policy |
| Other | 8 | Gusto's reviews page, Lemonade's availability page |
None of the 54 were general how-to blog posts. The answers needed facts about the brand, and they went to the pages that state them plainly, like what it costs, what the fees are and what happens if something breaks. How-to questions are a different story, as our test of business blog examples found.
Comparisons were the one blog format that got through. A single Google AI Overview on whether Copper is worth it cited six of Copper's own comparison posts, against Zoho, Salesforce, Pipedrive and others.
We'd call these pages the reference layer. They're not glamorous, but they're what AI answers quote when a buyer asks about you by name.
Where brand guides win: Google and AI Overviews
The second check flipped the question. We asked 12 general how-to and cost questions, like "how to wash a rug at home," "how to run payroll for a small business" and "how much does a handyman cost per hour."
Brands did well here. Pages from companies that sell something made up 74% of the 84 sources cited across the AI Overviews and 66% of the top 10 results. Eleven of the 12 overviews cited at least one brand.
The brands that won had a clear reason to know the answer. Lowe's, Bissell and Whirlpool were cited for washing a rug. Square, ADP and Paychex covered payroll, and Gusto ranked on the first page too. Rover showed up for dog walker costs, Lemonade and Allstate for renters insurance, and TaskRabbit and Angi for handyman rates.
Some results were nearly all brands. For "what thread count is best for sheets," bedding makers like DreamCloud, Pure Parima and Silk and Snow filled most of the first page, and one of them, California Design Den, held three spots on its own. When a whole category writes about its own product, buyers mostly read brands.
That's the guide layer. Write how-tos where your product or service gives you real experience, and Google treats your page as a source rather than an ad.
How often does ChatGPT mention your brand?
Most founders have no idea. The answer might surprise you.
ChatGPT answers general questions from memory
ChatGPT behaved differently. It answered 7 of the 12 general questions without citing a single source, so no brand got credit, no matter who wrote the best guide.
When it did search, it reached for official sources. For payroll it cited the IRS, the SBA and New York state agencies. For renters insurance it cited the Insurance Information Institute, Progressive and two state insurance departments.
Brands did get through on a few. ChatGPT searched for 5 of the 12 questions, and brand pages appeared in 3 of those 5. It cited HubSpot, Salesforce and Zoho for "what is a crm," Rover for dog walker costs and Housecall Pro for handyman rates. Each of those companies sells the thing the question is about.
So the two layers do different jobs. Guides earn Google rankings and AI Overview citations for general questions. Reference pages are what ChatGPT reads when buyers ask about your brand. Our explainer on how large language models work covers why an assistant answers from memory first.
A content creation process for brands
Here's the order we'd use, built from what got cited and ranked in both checks.
- Build the reference layer first. Publish a pricing page with current numbers, help articles on fees, limits and eligibility, and clear warranty and returns pages.
- Make product pages complete. List specs, sizes, materials and care in plain text rather than inside images, since answers quoted product pages for Allbirds and Casper.
- Write comparison pages against the real alternatives. Copper's six cited posts show the payoff. Our post on comparison pages that rank in ChatGPT covers the format.
- Add how-to guides where you have hands-on expertise. A cookware brand should explain seasoning, and a payroll company should explain payroll.
- Answer cost questions honestly, with ranges. Rover, TaskRabbit and Lemonade won cost questions by giving real numbers.
- Review the reference layer every quarter. An old price on a help page becomes an old price in an AI answer.
Use the Comparison SEO Strategy early to get more bottom-of-funnel traffic.
I take simple bulleted notes on strategies and tactics and figured id share this one. Let me know your thoughts. I call this one the ... Comparison SEO StrategyWho's this for? Founders building a SaaS Founders/Marketers doing SEO marketing...
On comparisons, one reply in an r/indiehackers thread on the comparison SEO strategy added a useful warning. Obvious matchups are crowded, so a new brand should start with the long tail, comparing itself with niche tools buyers in its own workflow actually consider.
What the two layers look like for three kinds of brands
The mix changes with what you sell. Here's how it looked for the brands in our checks.
| Brand type | Reference layer that got cited | Guide layer that won |
|---|---|---|
| Software | Pricing pages for Close, Copper and Mailchimp, plus Pipedrive's plan help article | CRM explainers from HubSpot, payroll guides from ADP and Square |
| Products | Allbirds and Casper product pages, Away's lifetime care page | Rug washing from Lowe's and Bissell, wool shoe care from Keen |
| Services and marketplaces | Fee articles from Rover and TaskRabbit, Chime's FDIC page | Cost guides from Rover, TaskRabbit and Angi |
Software buyers ask what it costs and how it compares, so pricing and comparison pages carry the most weight. Product buyers ask about specs, durability and returns. Service buyers ask about fees and what happens when something goes wrong.
Whatever you sell, write down the five questions buyers ask most before they pay, and make sure each one has a page on your site that answers it in the first paragraph.
Keep the reference layer current
Reference pages only help while they're right. A growth marketer in r/growthmarketing asked ChatGPT about their company and got a paragraph about a product they'd killed in 2022.
In our brand study, ChatGPT quoted exact numbers from these pages. The prices it gave for Close, ClickUp and Wave matched each vendor's pricing page on the day we checked. That's the upside of a current reference layer. The downside is that an outdated page gets quoted just as faithfully.
Help centers deserve the same care as the blog. ChatGPT cited Rover's fee article for both the "worth it" and the complaints questions, and TaskRabbit's two fee articles when asked whether it was worth it. A help article can end up doing more selling than a landing page.
15 hours a week manually. Or 15 minutes with RankControl.
Track citations, monitor competitors, and fix content gaps across every AI search engine. Automatically.
Content creation for brands, by the hour
Here's a rough monthly budget for one brand doing this by hand, by our estimate.
| Task | Hours a month |
|---|---|
| Updating pricing, help and policy pages | 3 to 5 |
| Filling gaps in product pages | 2 to 4 |
| Writing one or two comparison pages | 6 to 10 |
| Writing two to four how-to guides | 10 to 16 |
| Checking Google and AI answers | 2 to 3 |
| Total | 23 to 38 |
The reference work is the cheapest part and the most often skipped. Most teams spend their hours on new blog posts and leave the pricing FAQ from two years ago untouched. Our guide to AI content creation covers how to write the guide layer once the basics are in place.
Doing it by hand or with help
You can do all of this with your own team and a calendar. Or RankControl can write and publish the guides and comparison pages from your brand profile, once you approve each one, and check your Google rankings and AI citations every week, so you can see which pages buyers and AI answers actually use.
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