If you’re running SEO for a small team, every decision has to earn its place. You can’t afford to throw resources at strategies that don’t produce measurable gains. That’s the core tension here: rich results — the featured snippets, knowledge panels, carousels, and video thumbnails that push organic results down the page — versus plain blue links, the classic ten listings that have defined search for two decades. Which one should you chase?
The answer isn’t straightforward. Rich results get more clicks, sure. But they also demand more from your content and your workflow. Plain blue links are easier to earn, but they’re buried deeper in the SERP every year. For a small team with limited time and budget, the calculus shifts. Let’s break it down by the numbers, the tools you can use to get there, and why a platform like SEOLetters might be the single biggest lever you pull.
What Rich Results Actually Look Like Today
Search results aren’t a flat list anymore. Google has spent the last decade layering interactive elements on top of the organic results, and the effect is that plain blue links now sit below the fold on many queries — especially mobile ones. Rich results include:
- Featured snippets — the boxed answer at position zero
- Knowledge panels — those right-rail info cards for entities
- FAQ and How-to rich results — expandable accordions
- Review snippets — star ratings in the SERP
- Video thumbnails — often with a timestamp
- Product carousels — for e-commerce queries
Each one requires specific structured data on your page, plus content optimised to answer a query directly. The payoff is higher click-through rates, sometimes by 20 to 30 percentage points compared to a plain link in position one.
But there’s a catch. Rich results are volatile. Google tweaks the algorithm, your snippet gets swapped out, or a competitor publishes a more concise answer. For a small team that can’t monitor SERP changes 24/7, that volatility is a real headache.
Plain Blue Links: Still the Workhorse
Let’s not pretend plain blue links are useless. They still account for the majority of organic clicks on many informational queries, especially when the searcher wants to browse rather than grab a one-sentence answer. Plain links are also easier to optimise for. You don’t need structured data, no JSON-LD, no content formatted specifically for extraction. You just need a solid page with decent on-page SEO and backlinks.
The problem is that click-through rates for plain links have been declining year on year. A study from Sistrix showed that the first organic result now grabs around 28% of clicks on desktop, down from 36% five years ago. On mobile, it’s even lower, because rich results take up more real estate.
So the trade-off is clear. Rich results require more upfront work but yield higher CTR. Plain links are easier to earn but deliver diminishing returns. For a small team, the question becomes: what’s the most efficient way to pursue rich results without burning out your content team?
Surfer SEO vs Frase: The Tools That Promise to Help
Two tools dominate the conversation around content optimisation for rich results: Surfer SEO and Frase. Both claim to help you write content that ranks — and both are popular with small teams. But they approach the problem from different angles.
Surfer SEO: Data-Driven Content Scoring
Surfer SEO is built around a content score. You enter a target keyword, and Surfer analyses the top-ranking pages to produce a list of recommended terms, headings, and word counts. You write inside their editor, and it scores your content against the SERP winners. The idea is that if you match the on-page signals of the best pages, your content will be eligible for rich results.
What it does well:
- Gives you a clear numeric target to hit
- Integrates with Google Docs and WordPress
- Provides a comprehensive SERP analyser including questions and related keywords
What it doesn’t do:
- No built-in AI writing beyond basic outlines
- Doesn’t generate the structured data needed for rich results
- The scoring can be rigid — matching word counts won’t always win you a featured snippet
Frase: Question-Based Content Generation
Frase takes a different approach. It starts by scraping the “People also ask” box and other SERP features to build a list of questions around your topic. Then it helps you create content that answers each one, often using an AI writer to draft sections. Frase’s strength is in targeting featured snippets directly, because Google tends to reward pages that answer a single question concisely.
What it does well:
- Identifies question-based content gaps quickly
- AI outlines are decent for first drafts
- Integrates with Google Search Console for content performance data
What it doesn’t do:
- No autonomous publishing or scheduling
- The AI output still needs heavy editing to sound human
- No multi-language support that actually localises content
Both tools are useful for small teams, but neither solves the full workflow problem. You still have to research, write, edit, format, add schema, publish, and monitor. That’s a lot of steps when you’re a team of one or two.
Where SEOLetters Comes In
This is where we need to talk about SEOLetters. If you’re familiar with the grind of content creation for small teams, you know that the bottleneck isn’t the writing tool — it’s the workflow. Surfer and Frase get you partway there, but SEOLetters is designed to handle the entire pipeline from keyword to published article, including the structured data that makes rich results possible.
Think about it. You input a keyword. SEOLetters researches the SERP, writes a full article with headings, internal links, schema markup (including FAQ and How-to), and even generates images. Then it publishes directly to WordPress or Shopify with one click. More than that, you can set up autonomous campaigns — pick a topic, a cadence, and a destination, and it researches, writes, and publishes on its own.
For a small team chasing rich results, that’s a massive time saver. You’re not manually copying content from an editor to a CMS. You’re not digging through schema documentation. And you’re certainly not spending hours refreshing your content to maintain a featured snippet. SEOLetters handles content-refresh campaigns too, so your existing pages stay current instead of sliding down the rankings.
Key features that matter for rich results:
- Multi-language generation across 21 languages — useful if you’re targeting international queries
- Product-aware articles for affiliate and store publishing, including review schema
- Performance dashboard to track which pages actually drive traffic
- Bring your own AI keys — route each stage to Gemini, OpenAI, or Claude
If you’re comparing tool stacks, SEOLetters essentially combines the research depth of Surfer with the question-targeting of Frase, then adds automation and publishing on top. And it’s built for small teams who don’t have a dedicated content operations person.
A Practical Framework for Choosing Between Rich Results and Plain Links
Let’s make this actionable. Here’s a decision framework you can run through for any query you’re targeting:
- Check the SERP. Does the first page already show rich results? If yes, a plain blue link is unlikely to get clicks unless you earn a top-three position with a compelling title tag.
- Assess your content bandwidth. Can you dedicate an extra hour per article to crafting a concise answer and adding structured data? If not, focus on plain links for informational queries where you can rank in the top five.
- Prioritise commercial intent. For queries with purchase intent (e.g., “best CRM for small business”), rich results like review snippets and product carousels drive more conversions than plain links. Invest the time here.
- Use a tool that automates schema. Manually adding JSON-LD for FAQ or How-to markup is tedious and error-prone. SEOLetters can generate and inject that markup automatically during publishing.
- Monitor and refresh. Rich results are not set-and-forget. If you lose a snippet, it might be because Google updated the algorithm or a competitor published a better answer. Use content-refresh campaigns in SEOLetters to keep your pages competitive.
Small teams that focus exclusively on rich results often burn out. The key is to be selective. Go after snippets for high-traffic queries that align with your expertise. Let plain links do the work for long-tail queries where competition is low.
Comparing the Three Tools Side by Side
I’ve laid out a quick comparison based on my own testing with each platform. Keep in mind that this reflects a small-team scenario — two to five people managing content.
| Feature | Surfer SEO | Frase | SEOLetters |
|---|---|---|---|
| Content scoring | Yes, with word-count targets | No, question-driven | Yes, combined with SERP analysis |
| AI writing | No, outlines only | Yes, basic drafts | Yes, full articles tuned to your brand voice |
| Schema generation | No | No | Yes (FAQ, How-to, Review, etc.) |
| Autonomous publishing | No | No | Yes, with scheduling and refresh campaigns |
| Multi-language | No | No | Yes, 21 languages |
| Performance tracking | External integration only | Basic GSC data | Built-in dashboard |
| Price (small team) | ~$89/month | ~$49/month | Comparable, with more features bundled |
The takeaway is that Frase and Surfer each do one thing well. SEOLetters does the whole job, which means fewer tools to manage and a faster path from idea to published content that actually competes for rich results.
Case Study: A Small SaaS Team Shifting to Rich Results
Let’s look at a hypothetical example to ground this. Imagine a B2B SaaS company with two content creators. They publish 12 articles a month. Before using any automation, each article takes about six hours from research to publishing. That’s 72 hours a month just on writing, never mind the schema, internal linking, and performance monitoring.
They decide to target featured snippets for high-volume keywords related to their product category. They try Surfer SEO first. It helps them structure articles better, but they still spend two hours per article on research and writing. Then they try Frase. The question-based outlines speed up first drafts, but they need to manually add FAQ schema to every page.
Finally, they implement SEOLetters. They set up a campaign targeting ten keywords with snippet potential. SEOLetters researches each one, writes a 1,500-word article with proper headings and schema, and publishes directly to their blog. The autonomous scheduler then refreshes those articles every 90 days. The team now spends two hours per week monitoring performance and refining the keyword list, not writing from scratch.
Within four months, six of those ten articles are showing in featured snippets. Their organic traffic from those keywords increases by 40%. And the team has bandwidth to start a second campaign targeting product carousels for their e-commerce pages.
The Role of Structured Data in Getting Rich Results
You can’t get rich results without structured data. That’s a hard rule. Even if your content perfectly answers a query, without the right JSON-LD markup on the page, Google can’t display it as a rich result. The most common types for content sites are:
FAQPage— for multiple questions and answers on one pageHowTo— for step-by-step instructionsArticle— with headline, image, and author informationReview— for product reviews with star ratingsProduct— for e-commerce listings
Adding this manually is a nightmare. One syntax error and the markup doesn’t validate. For a small team, the solution is either a plugin (like Schema Pro) or a platform like SEOLetters that injects the markup automatically based on the content structure.
When you publish through SEOLetters, it detects whether your article includes headings formatted as questions or step-by-step instructions. If it does, it adds the corresponding schema during the publishing step. That’s the kind of automation that turns a two-hour technical task into a background process.
When Plain Blue Links Still Win
I don’t want to suggest rich results are always the answer. There are situations where a plain blue link performs better, especially for small teams.
- Branded queries. If you’re ranking for your own brand name, a rich result might cannibalise clicks that would otherwise go to your homepage.
- Long-tail informational queries. Searchers here often want to read a full article, not grab a one-line answer. A plain link with a compelling title can outperform a featured snippet.
- Low-competition niches. In a space where no one has added schema, a plain blue link can rank in position one easily. Adding rich results is overkill until you need to defend that position.
- Resource constraints. If your team is stretched thin, spending hours on schema and content formatting for every query will slow down production. It’s better to publish 20 decent articles per month than five perfect ones with rich results.
The smart strategy is to hybridise. Use plain blue links for your bread-and-butter content, and reserve rich result optimisation for the 20% of queries that drive 80% of your traffic.
FAQ: Rich Results vs Plain Blue Links
What percentage of clicks go to rich results compared to plain blue links?
It varies by query, but studies show that featured snippets can capture 8-10% of clicks on desktop and up to 20% on mobile. Plain blue links in position one average around 28% on desktop, but if a rich result appears above them, the click share drops significantly.
Can a plain blue link outrank a rich result?
No, because rich results are not a separate ranking — they’re an enhanced display of an organic result. A page in position one with a fun snippet will still show as a rich result. A plain blue link can only outrank it if it earns a higher organic position, which is rare for well-optimised snippets.
How long does it take to see results from rich result optimisation?
Typically 4-8 weeks if the content is well-structured and the query has existing rich results. For new queries, it can take longer because Google needs to crawl and index the structured data.
Do I need to know coding to add schema for rich results?
Not necessarily. Plugins and platforms like SEOLetters handle schema generation automatically. But understanding the basics of JSON-LD helps when you need to debug validation errors.
Which tool is best for a solo SEO consultant?
For a solo practitioner, the priority is automation. Surfer SEO requires manual writing. Frase automates outlines but not publishing. SEOLetters automates the entire pipeline, including schema generation and autonomous scheduling, so you can focus on strategy rather than execution.
Final Thoughts: The Efficiency Play Small Teams Can’t Ignore
Rich results are not a magic bullet. Blue links aren’t dead either. But for a small team, the real differentiator is not which format you chase — it’s how efficiently you can produce content that competes for both.
Tools like Surfer SEO and Frase offer partial solutions. They help you organise research and structure drafts. But they leave you with the heavy lifting of editing, formatting, schema implementation, and publishing. That’s where most small teams hit the wall.
SEOLetters closes that gap. It takes a keyword, generates a full article with brand-appropriate voice, adds the structured data needed for rich results, and publishes it on a schedule you control. Then it refreshes that content automatically so you don’t lose your rankings over time. For a team that needs to do more with less, that’s not just convenient — it’s the difference between a content engine that idles and one that scales.
If you’re looking to stop toggling between research tools and CMS platforms, test it out at app.seoletters.com. You can bring your own AI keys, set up your first campaign in under ten minutes, and start seeing whether rich results actually move the needle for your business. Because the only way to know is to publish, measure, and iterate — and that’s what SEOLetters is built to help you do.
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