Triple 888 SEO, London (2026)

26/05/2026

Most technical SEO audits don’t need to start with expensive enterprise tools.

They can start with Screaming Frog.

Here’s a simple workflow I use when auditing a site:

Crawl the site

Start with the homepage or XML sitemap, then let Screaming Frog collect URLs, status codes, titles, meta descriptions, canonicals, headings, directives, and internal links.

Check indexability

Filter for URLs blocked by robots.txt, marked noindex, canonicalised elsewhere, or returning non-200 status codes. This quickly shows what search engines may be unable to access or index.

Review status codes

Look for 3xx redirect chains, 4xx errors, 5xx errors, and internal links pointing to broken pages. These are often quick wins.

Audit titles and meta descriptions

Use the tabs for missing, duplicate, too long, or too short metadata. This helps identify template issues at scale.

Analyse canonicals

Check whether canonical tags are self-referencing, missing, duplicated, or pointing to unexpected URLs.

Find thin or duplicate content

Review word count, duplicate page titles, duplicate H1s, and near-duplicate pages. This is especially useful on ecommerce, directory, and programmatic SEO sites.

Inspect internal linking

Use inlinks, outlinks, crawl depth, and orphan URL checks to understand how authority flows through the site.

Connect GA4, Search Console, and PageSpeed Insights

This turns a basic crawl into a much richer audit by combining crawl data with traffic, impressions, clicks, and performance metrics.

Export and prioritise

The crawl gives you data. The value comes from turning that data into actions:

what is broken
what is blocking indexation
what affects crawl efficiency
what impacts rankings
what can be fixed fastest

Screaming Frog won’t “do” the audit for you.

But it gives you the technical evidence you need to make better SEO decisions.

A good audit isn’t just a list of errors.

It’s a prioritised roadmap for improving crawlability, indexation, performance, and organic growth.

19/05/2026

AI will not replace SEO content workflows.

But it will expose the weak ones.

The biggest mistake I see people make with ChatGPT and AI tools is treating them like a “write me an article” button.

That usually leads to generic content, weak positioning, and copy that sounds like every other result on page one.

The better approach is to use AI as a workflow accelerator, not a strategy replacement.

Here’s where it can genuinely help in SEO content:

1. Research and brief creation
Use AI to analyse SERP patterns, identify common subtopics, suggest search intent, and turn keyword data into structured briefs.

2. Content gap analysis
Feed it competitor outlines, your existing page, and the target query. Ask what is missing, over-covered, unclear, or not aligned with intent.

3. Outline development
AI is great for turning messy research into a logical structure. But the final outline should still reflect your expertise, product knowledge, and what your audience actually needs.

4. Draft support
Use it to create rough sections, examples, introductions, FAQs, meta descriptions, or alternative angles. Do not publish the first output.

5. Editing and optimisation
Ask AI to improve clarity, remove repetition, simplify language, tighten headings, or check whether the piece answers the core query quickly enough.

6. Repurposing
A strong SEO article can become LinkedIn posts, newsletter sections, sales enablement snippets, short-form video scripts, or FAQ content.

The key is this:

AI should make your content team faster at thinking, not lazier at publishing.

The best results still come from subject matter expertise, original examples, clear positioning, and a real understanding of the customer.

AI can help with the workflow.

It cannot replace the judgement.

How are you using AI in your SEO content process right now?

12/05/2026

Technical SEO audits can get messy fast.

The right tool stack makes it much easier to spot crawl issues, indexation problems, performance gaps, broken links, schema errors and internal linking opportunities.

Here are some of the best tools I’d recommend:

Free tools

Google Search Console
Still the first place to look for indexing, crawl, Core Web Vitals, sitemap and structured data issues.

Bing Webmaster Tools
Underrated. Great for additional crawl insights, keyword data and SEO reports.

Screaming Frog SEO Spider
Free up to 500 URLs. Perfect for smaller sites or quick checks.

PageSpeed Insights
Useful for Core Web Vitals, lab data and field data.

Chrome DevTools
Great for debugging rendering, JavaScript, performance and mobile issues.

Rich Results Test
A must-have for checking structured data eligibility.

Sitebulb Free Trial
Worth using when you want a more visual audit experience.

Paid tools

Screaming Frog SEO Spider
One of the best-value paid SEO tools around. Essential for serious crawling and technical audits.

Sitebulb
Excellent for visualising technical issues and explaining them clearly to clients or stakeholders.

Ahrefs Site Audit
Strong for ongoing monitoring, backlink context and prioritising site health issues.

Semrush Site Audit
Good all-rounder for technical audits, reporting and competitive research.

Lumar
Powerful for enterprise-scale crawling, monitoring and technical SEO governance.

Botify
Best suited to large websites where crawl budget, log files and indexation strategy really matter.

Oncrawl
Great for combining crawl data, log files and SEO performance data.

ContentKing / Conductor Website Monitoring
Useful for real-time SEO monitoring and catching changes before they become bigger problems.

My take:

For most sites, start with Google Search Console, Screaming Frog, PageSpeed Insights and Rich Results Test.

For larger or more complex websites, add Sitebulb, Ahrefs/Semrush, and a log file or enterprise crawler like Lumar, Botify or Oncrawl.

The best tool is not always the most expensive one.

It’s the one that helps you find the issue, understand the impact, and explain the fix clearly.

What’s your go-to tool for technical SEO audits?

28/04/2026

The 10 most common technical SEO issues I see again and again — and how to fix them:

1. Pages blocked by robots.txt
Fix: Check important URLs in robots.txt and Google Search Console. Don’t block pages you want indexed.

2. Noindex tags on valuable pages
Fix: Audit indexation directives regularly, especially after site migrations or staging releases.

3. Broken internal links
Fix: Crawl your site, fix 404 links, and redirect removed pages to the most relevant live alternative.

4. Slow page speed
Fix: Compress images, reduce unused JavaScript, use caching, and improve Core Web Vitals.

5. Duplicate title tags and meta descriptions
Fix: Create unique, descriptive metadata for every important page.

6. Poor canonical implementation
Fix: Make canonicals self-referencing where appropriate, and point duplicates to the correct primary URL.

7. Missing or messy XML sitemaps
Fix: Submit clean sitemaps that only include canonical, indexable, 200-status URLs.

8. Redirect chains
Fix: Update links so they point directly to the final destination URL.

9. Weak internal linking
Fix: Link important pages from relevant, crawlable pages using clear anchor text.

10. Mobile usability issues
Fix: Test templates on mobile, make content readable, avoid intrusive elements, and ensure buttons are easy to tap.

Technical SEO is rarely about one huge mistake.

Most of the time, it’s a collection of small issues that slowly reduce crawlability, indexation, and performance.

Fix the fundamentals first. They compound.

What technical SEO issue do you see most often?

20/04/2026

International SEO is more than translation.

If you want to grow organic traffic across markets, three things matter a lot:

1. Hreflang
It helps search engines show the right language or regional version to the right user.
Done well, it reduces cannibalization and improves relevance.
Done badly, it creates confusion fast.

2. ccTLDs
Country-code domains can build strong local trust and geo-targeting signals.
But they also increase complexity across authority, maintenance, and reporting.
They are powerful, but not always the right first move.

3. Global strategy
The real question is not “Which setup is best?”
It is “Which setup fits our markets, resources, and growth model?”

A strong international SEO strategy balances:

technical implementation
content localization
site architecture
internal linking
market prioritization
long-term scalability

There is no universal template.
What works for one global brand can be the wrong decision for another.

International SEO works best when technical choices support business strategy, not when they lead it.

What has been the biggest international SEO challenge in your experience: hreflang, domain structure, or localization at scale?

14/04/2026

How to get your business found in AI search?

Most businesses are still trying to rank in Google.

Smart ones are learning how to get cited in AI search.

When someone asks ChatGPT, Copilot, or Google AI Mode a question, these platforms often don’t just show a list of links. They generate an answer and cite the sources they trust. Google says its AI search experiences reward unique, helpful, people-first content, and Microsoft now has an AI Performance report in Bing Webmaster Tools so site owners can see when their pages are cited in AI-generated answers. ChatGPT search also pulls from the web and includes links to sources in responses.

So, how do you get your business found?

Answer real customer questions clearly
Create pages that solve specific problems in plain English.
Publish original insight
AI tools are more likely to use content that adds something useful, not generic recycled advice.
Show expertise and trust
Use real examples, data, author names, case studies, testimonials, and proof.
Structure content well
Clear headings, concise answers, FAQs, and strong page organization make content easier to interpret.
Build a strong web presence beyond your website
Reviews, mentions, citations, and authority signals across the web matter.
Make your site easy to crawl
If your content can’t be indexed properly, it won’t get surfaced or cited consistently.

The shift is simple:

Old SEO: “How do I rank?”
New AI search strategy: “How do I become the source AI chooses to reference?”

Businesses that win in the next 12 months won’t just chase clicks.
They’ll become the most useful answer.

07/04/2026

SEO and content velocity: How much is too much?

Everyone wants to publish more.

More blog posts.
More landing pages.
More updates.
More “fresh content.”

But in SEO, content velocity without strategy can do more harm than good.

Publishing at scale only works when you can maintain 3 things:

1. Quality
If speed lowers depth, originality, or usefulness, rankings usually won’t follow.

2. Relevance
More content is not better if it targets overlapping intent or creates keyword cannibalization.

3. Consistency
It’s better to publish 4 strong pieces a month for 12 months than 20 in one month and disappear for the next three.

The real question isn’t:
“How much content should we publish?”

It’s:
“How much high-quality, differentiated content can we realistically sustain?”

A good rule:
Increase content velocity only when you have:

a clear topical map
strong editorial standards
distribution in place
the ability to update and prune underperforming content

Because SEO isn’t just about publishing faster.
It’s about building topical authority without creating content debt.

Sometimes, more content grows traffic.
Sometimes, it just grows your backlog.

Content velocity matters. But content discipline matters more.

31/03/2026

Using Ahrefs or Semrush to identify SEO opportunities is one of the fastest ways to move from guessing to making data-backed decisions.

Instead of asking, “What should we write about next?” you can use these tools to find:

• keywords your site is already ranking for but not yet in the top 3
• competitor keywords you’re missing
• pages with declining traffic that need a refresh
• low-difficulty, high-intent keywords with realistic ranking potential
• backlink gaps that could strengthen your authority

The real value is not just in the data. It is in knowing how to turn that data into action.

A simple workflow:

Audit your current rankings
Find keywords sitting in positions 4–20
Compare against competitors
Prioritize opportunities by traffic potential + business relevance
Update existing pages or create new content around those gaps

SEO opportunities are everywhere, but without the right tools, they are hard to spot.

Ahrefs and Semrush help you see where the wins are hiding.

24/03/2026

Organic traffic reporting got a lot more interesting with GA4.

If you’re still looking at organic search as just “sessions from Google,” you’re missing the bigger picture.

GA4 gives marketers a better way to understand what organic traffic is actually doing after the click:
• Which landing pages attract high-intent visitors
• How users move through the site
• Which content drives engagement, conversions, and revenue
• Where drop-offs happen in the journey

The real value of GA4 for organic traffic analysis is in connecting acquisition to outcomes.

Instead of asking:
“How much organic traffic did we get?”

You can ask:
“Which organic landing pages drive engaged sessions?”
“Which blog posts assist conversions?”
“Which search-driven users are most likely to become customers?”
“Where are we losing qualified visitors before conversion?”

A few GA4 reports and techniques I keep coming back to:

Landing page + organic session analysis
Engagement rate and average engagement time by content type
Conversion paths from organic entry points
Exploration reports for segmenting branded vs. non-branded behavior
Event tracking tied to SEO goals, not just pageviews

The takeaway: SEO performance is no longer just about rankings and clicks. It’s about understanding user behavior and business impact.

GA4 isn’t always the simplest platform, but when set up properly, it helps turn organic traffic analysis from surface-level reporting into actionable insight.

How are you using GA4 to measure the real impact of organic search?

17/03/2026

Automating SEO tasks with Python is one of the easiest ways to save time and make your workflow more scalable.

Instead of manually checking title tags, meta descriptions, broken links, redirects, sitemap issues, or keyword data, Python can handle repetitive SEO tasks in minutes. What used to take hours can often be turned into a simple script that runs whenever you need it.

A few practical use cases:
• Crawling pages to audit metadata
• Finding broken internal links
• Extracting headings and structured data
• Monitoring ranking or keyword changes
• Cleaning and analyzing large SEO datasets
• Generating reports automatically

The biggest benefit is not just speed. It is consistency.

Automation reduces human error, helps you spot issues faster, and gives you more time to focus on strategy instead of repetitive manual work.

You do not need to be a full-time developer to get started. Even basic Python skills can go a long way for technical SEO and reporting.

SEO + automation is a powerful combination, and Python is one of the best tools to make it happen.

Triple 888 SEO

26/05/2026

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12/05/2026

28/04/2026

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