u/ThatAd9969

For years, SEO reporting was pretty straightforward:

Rankings go up → traffic goes up → SEO is working.

But I’m not sure that tells the full story anymore.

With AI Overviews, featured snippets, zero-click searches, branded searches, and users getting answers directly on the SERP, a page can gain more visibility without necessarily getting a huge increase in clicks.

That makes me wonder whether some of the SEO metrics we’ve relied on for years are becoming less useful on their own.

For example, instead of only tracking organic sessions and rankings, should we be paying more attention to things like:

• Search impressions and share of visibility
• Branded search growth
• Conversions from organic traffic
• Visibility across AI-generated answers
• Assisted conversions
• Returning visitors
• Leads/revenue per organic visitor

Traffic obviously still matters. But 10,000 visitors who never convert may be less valuable than 2,000 highly relevant visitors who actually become customers.

Curious how everyone here is handling this.

What is the #1 SEO metric you care about in 2026?

And is there any SEO metric you’ve stopped taking as seriously as you used to?

I’ve been thinking about an SEO problem that seems harder to diagnose now:

A page can keep roughly the same rankings and impressions, while clicks slowly decline.

A few years ago, I would immediately look at the title tag, meta description, competitors, or search intent.

Now there seem to be more possibilities:

• AI answers taking attention before the organic results
• Featured snippets answering the query directly
• More video, Reddit, shopping, or other SERP features
• Competitors using much stronger titles
• Search intent gradually changing
• The keyword still having impressions but becoming more “zero-click”
• Users getting the information they need without visiting a website

Because of this, I’m starting to think rankings alone are becoming a weaker way to judge SEO performance.

If you see stable rankings + declining clicks, what do you check first?

Do you try to improve CTR, change the content angle, target different queries, or accept that some SERPs simply have less click potential now?

Would be interested to hear how other SEOs are diagnosing this.

One small change that improved my AI results a lot:

Instead of asking: “What should I do?”

I ask: “Give me 5 different approaches, explain the trade-offs of each, and tell me when each option makes sense.”

This works especially well for:

• Content strategy
• SEO decisions
• Business ideas
• Coding approaches
• Marketing campaigns
• Productivity workflows

AI often gives one confident answer even when there are several reasonable choices.

Asking for multiple options first makes the response less narrow and helps you compare before deciding.

My usual follow-up is: "Now rank these options from best to worst for my situation and explain your reasoning.”

It turns AI from an answer machine into more of a decision-support tool.

What’s one task where you always ask AI for multiple options instead of a single answer?

When people start SEO, backlinks usually get most of the attention.

But before chasing more external links, it’s worth checking how well your own pages are connected.

Here’s a simple internal linking audit you can do:

1. Find important pages with very few internal links

Look at your main service pages, product pages, guides, or articles you actually want to rank.

Then check how many relevant pages on your site link to them.

2. Look for natural linking opportunities

Search your existing content for topics related to the page you want to improve.

For example:

If you have a guide about technical SEO, an article about SEO audits could naturally link to it.

3. Avoid useless anchor text

Instead of:

“Click here”

Try something descriptive like:

“technical SEO checklist”

The reader should have an idea of what they’ll find before clicking.

4. Don’t force links everywhere

Five relevant internal links are better than adding 20 links just because you can.

Only add a link when it genuinely helps someone continue exploring the topic.

5. Check your older content

This is the step I think gets overlooked most.

Every time you publish a new article, there may be 5–10 older posts that could link to it.

Updating those pages can immediately give the new content a stronger place within your site structure.

Internal linking probably isn’t the most exciting SEO tactic, but it’s one of the easiest things you can improve without waiting for another website to link to you.

How often do you audit internal links, when publishing content, monthly, or basically never?

A lot of SEO advice focuses on big strategies like link building, content clusters, and technical audits.

But sometimes, the smallest changes create the biggest improvements.

For example:

• Updating outdated titles and meta descriptions
• Adding internal links to important pages
• Improving content that ranks between positions 5 and 20
• Fixing keyword cannibalization
• Removing unnecessary pages from the index
• Improving page speed and mobile usability
• Rewriting introductions to match search intent faster

I’ve noticed that improving existing pages can often deliver results faster than publishing new content every week.

What is one simple SEO task that gave you better results than you expected?

It would be helpful if you could share what you changed and how it affected rankings, traffic, or conversions.

AI is changing how people create content, research keywords, and find information online.

But I do not think it has removed the need for SEO or link building. It has simply changed what works.

AI can now help with:

• Finding relevant link-building prospects
• Personalizing outreach emails
• Identifying content gaps
• Creating topic clusters
• Analyzing competitor backlinks
• Updating outdated content faster

However, AI also creates a new problem: the internet is filling up with generic content that looks and sounds the same.

That means quality signals may become even more important.

For SEO, websites still need useful content, strong technical foundations, clear expertise, and a good user experience.

For link building, relevance and trust matter more than ever. A backlink from a respected website in your niche is likely to be far more valuable than hundreds of automated links from low-quality sites.

I think the best approach is to use AI as an assistant, not as a complete replacement for human judgment.

AI can speed up research and outreach, but humans still need to:

• Check whether a website is genuinely relevant
• Build real relationships
• Add original experience and insights
• Review content for accuracy
• Avoid spammy automation

The future of SEO may not be humans versus AI. It may be skilled marketers using AI better than everyone else.

How are you currently using AI for SEO or link building? Has it improved your results, or created more low-quality work?

I’ve noticed that many SEO issues don’t always need a full content rewrite. Sometimes, small cleanups can make a page much stronger.

Here are 5 quick SEO fixes that are easy to miss:

1. Rewrite weak title tags Make sure the main keyword is clear, but also give people a reason to click.
2. Improve the first 100 words Your intro should quickly explain what the page is about and match the search intent.
3. Add helpful internal links Link to related pages naturally so users and search engines can understand your site structure better.
4. Update old examples or stats Outdated content can make a page feel less trustworthy, even if the topic is still useful.
5. Answer the main question clearly Before adding extra details, make sure the page gives a direct answer to what the searcher wants.

Small SEO improvements can add up over time, especially on pages that are already getting impressions but not enough clicks.

What’s one simple SEO fix that has worked well for you?

I’ve tested a bunch of AI tools over the last few months, and most of them are… meh in real workflows.

But these 3 actually stuck for me:

1. Content briefs in minutes Instead of spending 1–2 hours researching, I use AI to:

• cluster keywords
• suggest headings
• map search intent

Then I refine it manually.

1. Outreach personalization at scale Not generic “Hi [Name]” stuff - but:

• summarizing a website
• identifying relevance
• generating a custom hook

Cuts outreach prep time by ~70%.

1. Content gap analysis Drop in competitor URLs → get:

• missing topics
• weak sections
• internal linking ideas

Still needs human judgment, but huge time saver.

Curious, what AI workflows are actually sticking for you long-term?

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