Thursday, 27 November 2025

AI Optimisation King Dan Jones Reveals How Google's Annotation Feature Transforms SEO Tracking

Why Annotations Change SEO Tracking

Have you ever stared at your traffic graph wondering what caused that sudden spike two weeks ago? Or worse, trying to figure out why visitors dropped off without any obvious explanation?

You know you made changes. You remember doing something important. But what exactly? And when?

This frustrating situation happens constantly in SEO. Until now.

Google rolled out annotations for Search Console and Dan Jones, the AI Optimisation King, believes this single feature will change how businesses track optimisation efforts. Here's everything you need to know about using annotations effectively.

The Tracking Problem Every SEO Faces

Most businesses juggle multiple systems for tracking changes.

Content updates go in spreadsheets. Technical improvements get logged in project management software. Server changes live in calendar notes. Strategy discussions hide in email threads or Slack messages.

Everything exists somewhere. Nothing exists in one place.

Then your traffic changes and the detective work begins. You open Google Analytics. You scan through old spreadsheets. You search your email for keywords like "schema" or "migration". You ask team members what they remember happening three months ago.

Sometimes you piece it together. Often you don't.

Dan Jones has managed SEO for countless businesses and this scattered tracking approach creates consistent problems. The disconnect between taking action and measuring impact slows down learning significantly. You can't identify winning strategies quickly. You waste time repeating failed experiments because you forgot you already tried them.

Client reporting becomes awkward. When someone asks why their traffic improved, "we probably changed something good around then" sounds unprofessional at best.

Annotations fix this completely.

How Annotations Change The Game

Imagine seeing your entire optimisation history in one place.

Traffic increases appear on your Search Console graph with notes explaining exactly what you implemented beforehand. Traffic decreases show up with context about what changed. Every spike, every drop, every fluctuation connects directly to specific actions you took.

No more detective work. No more guessing. Look at the graph, read the annotation and understand what happened.

Google should have built this years ago. Now that it exists, there's no reason to skip it.

Knowing When To Create Annotations

Create an annotation whenever you make changes that might influence traffic.

Content work: launching new pages, deleting outdated content, refreshing existing articles with current information.

Technical improvements: code updates, speed optimisation, Core Web Vitals corrections, structured data additions.

Structural changes: URL updates, category reorganisation, menu modifications, linking pattern adjustments.

Infrastructure updates: server downtime, hosting provider switches, content delivery network setup, SSL certificate changes.

The goal is documenting anything that could appear as traffic movement later. Small changes sometimes create big impacts, so err on the side of over documenting rather than under documenting.

Creating Your First Annotation

The actual process is simple once you understand the interface.

Open Search Console and select Performance from the left menu. Your traffic graph appears.

Find the specific date when you made your change. Right click directly on that date in the graph.

Select "Add annotation" from the dropdown menu. You get 120 characters for your note. Write something clear and specific enough that you'll understand it months later.

Strong examples:

"Implemented breadcrumb schema across entire site"

"Deleted 50 outdated blog posts from 2019"

"Switched to new hosting with better server response times"

"Published 6 comparison pages targeting bottom funnel keywords"

Click Add and your annotation appears on the graph immediately. Click any annotation later to view what you wrote.

Working Around The Interface Quirks

The annotation tool has some annoying behaviour you should know about.

Mouse sensitivity makes selecting precise dates harder than necessary. Additionally, you often cannot select today's date or yesterday's date using the standard clicking method.

This becomes problematic when you want immediate documentation. You finish implementing structured data, open Search Console to record it and discover the system blocks today's date selection.

There's a straightforward workaround.

Right click anywhere on your traffic graph and choose "Add annotation". Rather than clicking specific dates on the graph itself, use the date picker located at the top of the calendar that appears. Select your target date there.

For annotating today specifically (which normally gets blocked), click "More" followed by "Custom". Open the calendar for the end date and you'll find today's date available. Click OK, hit apply, then right click to create your annotation.

This method eliminates frustration when documenting changes immediately after implementing them. Dan Jones relies on this approach exclusively because it's faster and more dependable than the standard method.

Managing Existing Annotations

Need to modify or delete an annotation? Quick process.

For deletion, click the annotation in your graph. A rubbish bin icon appears at the top. Click it and the annotation disappears.

For editing, delete the existing annotation and create a fresh one with corrected information. Google didn't include a direct editing feature but the workaround takes minimal time.

Maintain annotation accuracy religiously. If you discover incorrect dates or inaccurate descriptions, fix them straight away. Six months from now when you're analysing traffic patterns, accurate annotations make all the difference.

One critical thing about annotations that most SEOs don't realise: Google can see everything you write. This means certain types of changes should never be documented in annotations. We've got a complete breakdown of what to include and what to keep private on our site. Check our full annotation guide to avoid making costly documentation mistakes.

Beginning Your Annotation Practice Today

Most SEO tools promise to make your life easier. Most fail to deliver.

Annotations actually work because they solve a real problem that every single person doing SEO faces daily. You make changes. Time passes, then results appear. You can't remember what caused them.

That cycle wastes money, destroys credibility with clients and keeps you repeating the same mistakes because you forgot you already tried something six months ago.

Annotations cost nothing to implement. They take seconds to add, and they save hours of frustration every single month.

The businesses that start documenting changes now will have months or years of data showing exactly what works and what doesn't. The businesses that ignore this feature will still be guessing why their traffic moves.

Which one sounds like a better position to be in?


Friday, 21 November 2025

How to Guide AI Search Engines According to AI Optimisation King Dan Jones

How to Guide AI Search Engines According to AI Optimisation King Dan Jones
Have you noticed how people are finding businesses differently these days? Instead of scrolling through pages of Google results, they're having conversations with AI. They open ChatGPT and ask "I need a better website with a budget of five thousand pounds. Do you know a local company who are the best in this industry?" or they ask Perplexity "My ecommerce site is losing customers at checkout. Can you recommend a UX specialist who can fix this?"

The AI doesn't give them ten options to compare. It gives them one name. Maybe two. Sometimes three at most.

Here's the problem: if that's not your business, you've just lost a potential customer who was ready to buy.

Dan Jones, known as the AI Optimisation King, has spent years working out how these AI systems decide which businesses to recommend. His strategies help companies show up when it matters most. This guide breaks down his framework so you can start appearing in AI recommendations.

Understanding How AI Assistants Make Recommendations

AI assistants verify before they recommend.

When someone asks "I need to improve my website's conversion rate. It's getting traffic but no sales. Can you recommend someone in the UK who specialises in this?", the AI searches for proof that a company actually provides that service, operates in that location and has the credibility worth mentioning.

How AI verifies businesses

Here's the verification process:

The AI searches indexes. ChatGPT relies on Bing. Google's AI Overviews use Google's index. Perplexity pulls from multiple sources including Reddit, YouTube and news sites.

It needs structured information. When your website clearly states what you do, AI can verify quickly. Vague marketing copy makes verification difficult.

It looks for external validation. The AI checks industry directories, third party reviews, trade publication features and listicle appearances. These sources confirm you exist and operate legitimately.

It prefers clear identity signals. Consistent name, address and description across platforms, mentions on authoritative sites and sufficient digital footprint all matter.

Think of it this way: AI wants accuracy. It won't recommend businesses it can't verify. More evidence equals more recommendations.

Why AI Search Matters for Your Business

Traditional Google search shows you alongside nine competitors. Even ranking first means customers see multiple options.

AI recommendations work differently.

When ChatGPT mentions your company in response to a query, there's often no competitor list. The person gets a direct answer. They might contact you immediately.

This changes customer acquisition entirely.

AI users have high purchase intent. They're not researching what conversion rate optimisation means. They're asking who can solve their specific problem. They want solutions now.

No competitor screen drives higher conversion rates. On Google, potential customers see your ad, three competitor ads, a local pack with more competitors and organic results with even more options. On ChatGPT, they might only see you.

Early adopters gain advantage. Most businesses focus entirely on Google rankings. They haven't adapted to AI search yet. Businesses optimising for AI visibility now establish themselves as default recommendations before competitors catch on.

Research analysing millions of AI citations reveals interesting patterns. Reddit appears in nearly half of ChatGPT citations. YouTube dominates Google's AI Overviews. Wikipedia features prominently across all platforms.

Businesses mentioned on these platforms have significant advantage.

Dan Jones's Framework for AI Search Optimisation

The AI Optimisation King has developed a systematic framework for influencing AI recommendations. Here's his approach.

Technical Signals AI Tools Need

AI crawlers require permission to access your website. Verify you're allowing OAI-SearchBot, bingbot and Google-Extended in your robots.txt file. Blocked crawlers can't index your content. Nothing else works if AI can't read your site.

Submit your sitemap to Bing Webmaster Tools. ChatGPT relies heavily on Bing's index. Most businesses focus on Google Search Console and completely forget Bing.

Implement structured data markup. This machine readable code tells AI exactly what your business does.

Essential schema types include:

  • Organisation schema with business name, logo and contact details

  • LocalBusiness schema for geographic service areas

  • Service schema describing each service

  • FAQPage schema for frequently asked questions

  • Review schema for testimonials

Structured data eliminates ambiguity. When AI asks "Does this company specialise in improving website conversion rates for ecommerce businesses?", schema provides clear answers rather than forcing AI to interpret marketing copy.

Build logical internal linking. Link services pages to relevant case studies. Connect location pages to services in those areas. This helps AI understand what you offer where.

Content Matching Natural AI Queries

People ask ChatGPT questions. They don't type keywords.

Your content should reflect this.

Create pages answering actual questions. "My website bounce rate is too high. How do I fix this?" "I need someone to redesign my outdated website. Who's the best in Manchester?" "My site loads slowly and I'm losing customers. Can you recommend a specialist?"

Question based pages give AI tools exactly what they need.

Structure content for easy extraction. Use short paragraphs. Place definitions near the start. Write clear statements that work standalone. Use bullet points for lists.

AI tools prefer content resembling their own output. If your answer reads like something ChatGPT would write, it recognises it as quality material.

Include FAQs on key service pages. Real customer questions with concise answers become prime material for AI tools.

Demonstrate expertise in your content. Don't just list services. Explain the thinking behind them. Share considerations for choosing between options. This positions you as the knowledgeable source AI can trust.

External Validation AI Requires

AI tools exercise caution. They seek third party validation before recommending you.

Here's what works:

  • Get listed on industry directories Trade association member directories, industry specific listings and local chamber of commerce sites confirm legitimacy.
  • Publish case studies on client websites or industry publications When your company name appears on authoritative third party sites, it signals credibility.
  • Feature in trade publications Industry magazines, sector specific news sites and professional association newsletters carry more weight than social media posts.
  • Appear in listicles "Top 10 web design agencies in the UK for conversion optimisation" style articles are exactly what AI tools reference. Appearing in these rankings on authoritative sites gives AI easy sources to cite.
  • Issue press releases New service launches, company milestones and industry awards create additional reference points.
  • Build presence on heavily cited platforms Reddit discussions in relevant subreddits, YouTube content demonstrating expertise and Quora answers to industry questions all matter.

Research shows these community driven platforms account for massive percentages of AI citations. Reddit ranks in the top three for every major AI platform.

Every external mention on credible platforms provides another piece of evidence AI can use to verify your business.

Working with On Top Marketing

Most marketing agencies focus exclusively on traditional SEO. Rankings, click through rates and keyword positions.

These still matter. They're not the complete picture anymore.

On Top Marketing specialises in AI search visibility. We help businesses appear more often in ChatGPT and Perplexity answers.

Dan Jones has developed a framework specifically for influencing AI recommendations. This involves auditing current AI visibility, identifying gaps in technical setup, content structure and external presence, then systematically addressing each element.

The goal isn't tricking AI tools. It's making your business so clearly verifiable that when someone asks an AI about your type of service, it has no reason not to mention you.


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