Are you a business owner who’s been burned before by yet another agency or a consultant, and wants to understand what good SEO actually looks like?
Have you been handed SEO as part of your broader marketing role and want strategic advice, not another list of “best practices”?
Are you an SEO early in your career, trying to cut through the noise and make confident decisions?
If you answered yes to any of those, this guide is for you!
I get it, there’s a lot of noise, a lot of opinions, a lot of talk about AI and how everything is “changing”. That’s all the fun, well at least for some of us 🙂
Since the launch of AI Overviews in 2024 and the rapid growth of AI Mode and LLM-driven search, results don’t look the way they used to. Some questions are answered instantly. Not every search ends in a click. And for beginners, that makes progress harder to measure and decisions harder to trust.
A study by Semrush shows that AI Overviews appear for close to 16% of keywords, with a growing share of searches, including commercial ones. At the same time, separate research shows that 69% of AI Mode sessions result in a click to a website, reinforcing that while AI is reshaping how results are presented, it’s not always removing the need for visibility, relevance, and strong SEO fundamentals.
Not to mention the fact that everyone’s journey is different, some users will start with Google, but others with the popular AI tools. Here are some results from my recent LinkedIn post:
The real challenge isn’t learning more tactics. It’s knowing what to focus on, what to ignore, and why. If you’ve ever wondered whether you’re doing the right thing, or felt paralysed by conflicting advice, this guide is for you. Read on and you will find:
- A clear way to think about SEO in an AI-driven landscape
- Confidence in your decisions (even when the data looks messy)
- A structured approach to solving SEO problems, not reacting to trends
What SEOs struggle with?
I’ve seen:
- technical fixes completed with no prioritisation or explanation
- clients burned by “SEO activity” that looks busy but delivers little value
- recommendations made without context, evidence, or ownership
- panic reactions to traffic drops, core updates, or AI changes
And here is why…
SEO is broad
SEO is a collection of related disciplines, which I’ve included below, that all influence visibility in search. When you’re starting out, that can feel disorientating because you’re rarely learning one thing at a time.
Technical foundations
Before worrying about tools, hacks, or AI features, understand the basics of how search engines operate – understand how search engines crawl, index, and interpret a website. This includes site structure, internal linking, page speed, mobile friendliness and indexing rules.
Here is a great resource from Google: How Search Works.
Quibble’s guide to internal linking: Internal Linking: Actionable Steps to Boost Your SEO
Quibble’s guide to website speed: How to Improve your Website’s Loading Speed & Performance
Top tip: When I was learning, spending time with Google’s own documentation helped cut through a lot of misinformation. It sets a baseline for how search is meant to work, which makes it easier to spot bad advice later on.
Content and intent
Knowing how to create content that matches what people are actually searching for, and more importantly, why they’re searching. This includes keyword research, search intent, content structure, and clarity. The important aspect here is not to rely on AI-generated content. Your content should be backed by real-life experience, expertise and proof – think reviews, case studies.
Free resource from Google: Creating Helpful Content
Smerush’s guide to keywords: What Are Keywords? Intro + How to Find and Use Them
Quibble’s guide to search intent: Search Intent for B2B – Why is it relevant for your business?
Quibble’s guide to content creation: A Content Gap Analysis Guide: How to Find the Gaps & Bridge Them
On-page optimisation
Titles, meta tags, headings, and page-level relevance. It’s all about optimising individual pages and making sure they work for people as well as search engines.
Search Engine’s Journal to On-Page SEO: The Complete Guide to On-Page SEO
Also Asked: “People Also Asked” data and intent clustering for content and headings
Answer the Public: Autocomplete data from search engines to generate valuable insights and optimise your content strategy.
Authority and trust signals
Understanding how links, mentions, brand signals, and EEAT (Experience, Expertise, Authority, Trust) influence visibility and conversions.
Google’s guide to EEAT: Search Quality Rater Guidelines
Quibble’s guide to reviews: How customer reviews can boost your SEO (and How to build a winning review strategy)
Quibble’s guide to building a strong online presence: A guide to off-page SEO
Measurement and analysis
Reading data in GA4 and Google Search Console, understanding what changed, trends, declines and deciding whether it matters.
Google Search Console documentation: Get started with Search Console
Quibble’s guide to GA4: An introduction to Google Analytics 4
UX
Learn more about how customers interact with your website, helping you understand the conversion journey and identify where users drop off.
Microsoft Clarity: a free user behaviour analytics tool that helps you understand how users are interacting with your website through session replays and heatmaps.
Language
SEO has a habit of shortening everything into acronyms and technical terms, which can make early conversations feel intimidating. AIO (Artificial Intelligence Optimisation), AEO (Artificial Engine Optimisation), LLM (Large Language Model), EEAT (Experience, Expertise, Authority, Trustworthiness) and the list goes on – these are only some of the latest ones!
Early on, that language can make conversations feel intimidating. I remember sitting in meetings years ago and being totally confused. I’d go home and Google everything, and quietly fill in the gaps, simply because I didn’t want to expose what I didn’t know yet.
But it’s to ask questions. What also helps is seeing those terms applied in real scenarios. Once you understand what they do, not just what they’re called, they stop being a barrier.
Top tip: Don’t try to memorise everything.
Instead:
- Keep a running list of terms you come across
- Look them up when you need to
- Pay attention to how they’re used in context
Advice changes, and it’s not always clear
Search evolves. Updates roll out. Guidance shifts. And advice doesn’t always agree.
You’ll still see advice saying:
“Long-form content always performs better. ”
At the same time, you’ll see the opposite:
“Short, direct answers win in AI Overviews. Keep content concise.”
Then there is this research below stating that content needs 10,000+ words to be cited by AI.
So what is actually true? Well it depends… (btw SEOs say it depends a lot)
For informational queries that feed AI summaries, concise, well-structured answers often perform better. For complex topics, longer content still has a place. The conflict isn’t the advice but it’s applying it without context.
Part of becoming a confident SEO is learning to filter the noise, understanding which changes are genuinely relevant to your site and which are simply commentary. That judgment only comes with experience.
SEO rewards patience
Some changes can have an impact surprisingly quickly. We’ve seen ranking movement within a week after improving metadata. Those quick wins are real.
But a lot of SEO doesn’t work like that.
The frustration when meaningful changes are made, such as content improvements, structural fixes, internal linking updates, and the results don’t show up straight away, is real. Sometimes they don’t show up at all until the next Google core update rolls out.
An additional challenge comes in when you need to explain this to the client. They expect quick wins, but SEO simply doesn’t work like that.
That is disheartening, especially early in your career. You’ve done the work, followed best practice, and yet performance looks flat. It’s easy to start questioning whether you’ve done something wrong.
Not to mention when Google is clearly getting it wrong.
We’ve all seen it. In some cases, SERPs are more confusing than helpful. Pages that are ranking clearly don’t match the intent, businesses appear in the wrong context, or results that feel so off they’re almost amusing. Some of these examples are harmless, even funny. Others are more frustrating, especially when genuinely relevant sites are pushed aside in favour of results that simply don’t belong there.
SEO is tied to systems we don’t control. Core updates can take weeks or months to fully settle. Search results can behave inconsistently. And sometimes Google’s own bugs or reporting quirks take frustratingly long to resolve.
This is why context matters.
With experience, you learn to separate:
- changes that should move quickly
- changes that need time and validation
- and changes that are simply waiting for Google to catch up
Understanding that difference is a huge confidence boost. It stops you chasing fixes that aren’t needed and helps you stand behind good work even when results lag.
It’s also why we keep a close eye on core updates. Not to react to every fluctuation, but to understand when it makes sense to act, and when patience is the smarter call.
SEO doesn’t just reward effort. It rewards judgement, timing, and consistency and those are skills that only develop with experience.
AI changed everything
AI changed what success looks like, and that’s where beginners struggle.
People now search in full questions. AI often answers them instantly. Sometimes there’s no click, no visit, no obvious “win”. If you’re new to SEO, that makes it feel like your work isn’t working.
But the truth is that AI still relies on the same fundamentals:
- Clear search intent
- Useful, accurate content
- Trust, expertise, and consistency
- Clean technical foundations
What’s changed is that weak content gets filtered out faster. Over-optimised pages disappear. Thin pages don’t get surfaced. There’s less room for “good enough”.
That’s why beginners feel stuck, chasing rankings and traffic, while AI rewards clarity, depth, and usefulness.
Find out more about visibility in AI search here
Check out our SEO insights here
An SEO framework for diagnosing & solving SEO problems
When you’re starting out in SEO, the hardest part usually isn’t doing the work, it’s knowing where to start.
- You might have a site of your own.
- You might have just landed your first entry-level role and been handed “SEO” with very little direction.
Whatever the situation, everything can feel urgent, and everything can feel important.
That’s why we use a simple framework.
Situation → Evidence → Resources → Initiatives → Outcome
It sounds simple, but it changes everything.
Instead of jumping straight into tools or fixes, it forces a pause:
- What’s actually happening?
- What do we know versus what are we assuming?
- What constraints are we working within?
- What actions will genuinely move the needle?
- How will we know if it worked?
For newer SEOs, this removes the pressure to be “right” straight away. The focus shifts to clear thinking, not instant answers.
A real case study
“Traffic is down. What should we do?”
Without structure, this leads to panic audits, scattered fixes, and vague recommendations.
With mentorship and a framework, the conversation changes:
- Situation: Organic traffic drop
- Evidence: GA4 shows a 30% decrease in organic sessions compared to the previous period.
At this stage, we’re not fixing anything, we’re investigating. Key questions to answer:
- When did the drop start? Sudden or gradual?
- Is it sitewide or limited to specific pages and sections?
- Is it traffic volume, conversions, or both?
We then validate this with Google Search Console:
- Changes in impressions vs clicks
- Queries or pages most affected
- Any correlation with known Google updates
This step alone often removes panic. The data usually tells a much clearer story than assumptions.
- Resources: Before diving in, it’s important to be realistic about what we have to work with.
Tools:
- GA4 for behavioural trends and conversion impact
- Google Search Console for visibility and query-level changes
- Semrush (or similar) for ranking movement and competitor comparison
Time:
- X hours allocated for investigation (enough to be thorough, not endless)
People:
- Access to internal stakeholders (sales, customer support, content) to understand lead quality, seasonality, or business changes that might not show up in tools
- Initiatives: With evidence and resources defined, the investigation becomes structured.
Typical actions at this stage:
- Segment GA4 data to identify which pages, templates, or content types lost traffic
- Analyse Search Console for query intent shifts (informational vs commercial)
- Review ranking changes in Semrush to spot patterns, not individual keywords
- Check for technical red flags (indexing, crawl anomalies, template changes)
- Sense-check findings with the business (changes in product offering, pricing, demand)
- Outcome: The goal isn’t to “fix SEO” immediately but to reach clarity.
A good outcome looks like:
- A clear explanation of why traffic dropped
- A prioritised list of contributing factors (not a long checklist)
- A recommended course of action tied to business impact
- Agreement on what success looks like
This is real…
From an agency perspective, we’ve seen organic traffic dips, particularly on highly informational queries. At first glance, that can feel alarming. But when we dig deeper, a different picture usually emerges.
Many queries now end in no click. The answer is surfaced directly in an AI Overview or in the AI Mode as an example, so users don’t need to visit the site.
The key question we always ask is:
Did these queries ever meaningfully contribute to conversions in the first place?
Sometimes the answer is no.
In those cases, losing that traffic doesn’t hurt performance; it just removes noise. It allows us to reframe success around what actually matters: qualified visits, engagement, and revenue-driving pages.
Other times, the answer is yes.
Those informational queries did support the journey, they introduced the brand, built trust, or assisted conversion later on.
That’s when the response changes.
Depending on the situation, we might:
- Improve how informational content leads into commercial pages
- Rework content to add depth and encourage a click
- Shift focus toward mid-funnel or decision-stage queries where clicks still matter
The important part is this: AI doesn’t remove strategy, it demands better judgement.
Instead of chasing every lost session, we look at:
- What role a page played in the wider journey
- Whether it influenced conversions, even indirectly
- How success should be measured going forward
For a developing SEO, this is a powerful moment. You’ve owned the analysis and led the conversation. That’s the shift from reacting to thinking strategically.
Moving from tasks to strategy
Early in an SEO career, it’s easy to feel like your value is tied to output – audits completed and reports delivered.
With the above strategy, instead of asking “What task should I do next?”, the question becomes:
“What’s the most important problem to solve right now?”
That’s a strategic leap — and it’s one that needs support.
I often encourage SEOs to pause before action and answer a few simple questions:
- What’s the business goal behind this request?
- What’s the risk of doing nothing?
- What’s the smallest change that could have the biggest impact?
Building confidence through communication
Confidence in SEO isn’t just internal. It shows up in how you communicate.
One of the biggest breakthroughs for developing SEOs is learning how to tell the story, not just share the data.
This can be achieved with a simple narrative structure:
- What’s happening
- Why it matters
- What we recommend
- What success looks like
This works for client calls, internal updates, and written reports.
It turns technical insight into something others can understand and trust — which, in turn, reinforces the SEO’s own confidence in their thinking.
Here is an example for our scenario:
What’s happening
We’ve identified that the organic traffic drop is concentrated on commercial landing pages, particularly those targeting high-intent queries related to core services.
Why it matters
The traffic decline aligns with a noticeable drop in form submissions from organic search, meaning this change has a real business impact, not just a reporting one.
Left unaddressed, this would continue to affect pipeline and performance.
What we recommend
- Review page content to ensure it fully matches current search intent, including clarity of offering, differentiation, and supporting information.
- Check for indexing, crawling, or template-level issues that could be limiting visibility across commercial pages.
- Strengthen EEAT signals through clearer authorship, and supporting content that reinforces expertise.
What success looks like
- Recovery of impressions and rankings on priority commercial queries
- Improved quality and volume of organic leads
Once you see the same concepts applied again and again, in audits, reports, and real scenarios, the language stops feeling intimidating and starts feeling familiar.
That shift happens faster than you think.
Final thoughts
SEO doesn’t get easier because you learn every tactic or tool. It gets easier because you learn how to think and problem solve.
AI will keep evolving. Search results will continue to change. New terminology, new features, and new “best practices” will keep appearing. That part isn’t going away.
What does stay consistent is the value of clear thinking, solid fundamentals, and good judgement.
If you want experienced guidance, clearer strategy, and SEO decisions you can actually stand behind, we can help.
We work with in-house teams and business owners who want to do SEO properly with clarity, structure, and long-term thinking. Get in touch today.