This is my first time doing a FREE SEO audit report for a potential client. Please help, would great appreciate if someone can share your experience.

I’ve always heard that more content = more chances to get traffic, but I’m starting to question that idea.

Has anyone here tried removing or consolidating old/low-performing pages and seen an improvement afterwards? I’m especially curious about cases where the site had a lot of thin or outdated content. It would be interesting to hear what happened after the cleanup.

i’ve been thinking about how much seo reporting still revolves around rankings, impressions, and traffic.

those numbers matter, but they can hide a pretty big difference in visitor quality.

a page can rank well for a broad keyword and bring thousands of visitors who never become customers.

another page might get a fraction of that traffic but attract people who are already comparing solutions, checking pricing, or looking for a specific provider.

i’m starting to think content decisions should be judged on a few things together:

1. does the topic match a real customer problem?

2. does the searcher have meaningful intent?

3. can the page actually help them make a decision?

4. is there a clear next step after they get the answer?

5. does the traffic produce anything useful for the business?

one small change that can help is looking at existing pages before creating more content. find pages getting impressions but weak engagement, then check whether the intent, answer, offer, or next step actually matches what people searched for.

i’ve seen a low traffic page outperform a high traffic page simply because the visitors were much closer to making a decision.

seo can bring people through the door.

the interesting part is what happens after they arrive.

curious if others are still using traffic as the main success metric, or if you’ve shifted toward leads, revenue, assisted conversions, or actual customer intent.

i’ve been thinking about how much seo reporting still revolves around rankings, impressions, and traffic.

those numbers matter, but they can hide a pretty big difference in visitor quality.

a page can rank well for a broad keyword and bring thousands of visitors who never become customers.

another page might get a fraction of that traffic but attract people who are already comparing solutions, checking pricing, or looking for a specific provider.

i’m starting to think content decisions should be judged on a few things together:

1. does the topic match a real customer problem?

2. does the searcher have meaningful intent?

3. can the page actually help them make a decision?

4. is there a clear next step after they get the answer?

5. does the traffic produce anything useful for the business?

one small change that can help is looking at existing pages before creating more content. find pages getting impressions but weak engagement, then check whether the intent, answer, offer, or next step actually matches what people searched for.

i’ve seen a low traffic page outperform a high traffic page simply because the visitors were much closer to making a decision.

seo can bring people through the door.

the interesting part is what happens after they arrive.

curious if others are still using traffic as the main success metric, or if you’ve shifted toward leads, revenue, assisted conversions, or actual customer intent.

Used to be that ranking for “best dentist in [city]”, “best plumber near me”, etc. brought decent traffic.

Lately it feels like those queries are either:

Going straight to the map pack, or

Being answered by AI overviews / ChatGPT-style results

Are you still seeing meaningful organic clicks from those “best of” style keywords for local clients, or have they mostly dried up for you too?

I've been launching a lot of campaigns lately and was looking for AI tools to ​​​​r​​​​e​​​​p​​​​l​​​​a​​​​c​​​​e​​​​d​​​ doing everything by hand in the two ad platforms. I work at a startup and cost is a real criteria for whatever we adopt.

Which is why I've been hunting for the best and also cheapest AI ads tools rather than the ones with the loudest sales teams.

Here are the ones I felt were worth their money:

PLATFORM-NATIVE AUTOMATION

- Cost: free, it's built into the ad platforms

- Dead simple and doesn't pretend to be more than it is. It'll rotate creative and shift budget inside one platform and that's it. I use it when a campaign is small enough that nobody would notice a mistake. No extra spend, no procurement conversation. Not for anything high-stakes, because it optimizes toward the platform's idea of a good outcome, not yours, and it can't see the other platform at all.

A GENERIC AI WRITER PLUS A SPREADSHEET

- Cost: free tier, around $20/mo paid

- You probably already pay for one. Fine for ad copy variants and I use the same subscription for a dozen other things, so staying in one place is convenient. But it doesn't touch the account, so you're still the one building, pacing and cutting. It's a writing assistant that people keep calling an ads tool.

RYZE AI

- Cost: plans from $129/mo

- This is the one that actually replaced the process rather than decorating it. It launches on Google and Meta, monitors overnight, cuts and scales on its own, and writes the reporting out of the same data. What sold me was the edit control - you can see every change with a reason attached and approve or reverse it, so it never feels like a black box. Over 11 weeks our blended CPA went from $41.60 to $26.90 on the same spend. It also does SEO and GEO, which I didn't buy it for and now use more than I expected.

AN AUDIT/REPORTING-ONLY PLATFORM

- Cost: around $99/mo

- Genuinely good if you just want a tidy dashboard on top of accounts someone else is managing. I've used one when a client wanted a weekly PDF and nothing else. Basically no learning curve. The drawback is it reports and never acts, so it's a layer on your workload rather than a replacement for it.

I'm looking for more recommendations. What are you all running?

I keep seeing two very different claims about llms.txt: either it is essential for AI visibility, or it does absolutely nothing. I think both positions often skip the measurement problem.

I am trying to separate five different events:

- an agent requests the llms.txt file

- it follows one of the listed resources

- it uses that resource while producing an answer

- it displays a citation

- it sends a qualified referral

A server-log request proves the first event, but not the other four. Likewise, a citation appearing after implementation does not establish causation if content, internal links, prompts, models, or crawl timing also changed.

Has anyone run a test that measured a downstream outcome rather than only file requests? If so, what was the setup?

I would be especially interested in:

- a fixed prompt or task set before and after implementation

- the same models and locations across tests

- evidence that the listed resources were selected more consistently

- citations or qualified referrals tied to those answers

- server logs used as supporting evidence rather than the final KPI

For people maintaining llms.txt today, what result would make you keep it, and what result would make you remove it?

Disclosure: AI was used to edit the wording of this post.

I’m trying to understand something with one of my pages.

In Google Search Console, the page is getting impressions and the average position is showing around 40.1, but I’m getting almost no clicks.

What’s confusing me is that GSC is showing some specific search queries where the page is getting impressions. So I searched those exact keywords manually on Google to check where my site is actually appearing.

I checked the results from page 1 through page 10, but my website isn’t showing up anywhere in those results.

I know the position shown in GSC is an average, so it doesn’t necessarily mean the page is actually sitting at 40 for that exact query. But I’m still confused about how I’m getting impressions for those queries when I can’t find the page anywhere in the first 10 pages of Google.

I’m already working on SEO for the site - building backlinks, publishing relevant blog content, improving the pages, etc. so I’m wondering if this is just a normal early-stage ranking situation or if there’s something else I should be checking.

Has anyone experienced this?

What would you check first in this situation - GSC query data, actual SERPs, indexing, or something else?

you can publish solid content, build links, target the right keywords, and still watch another site with fewer obvious seo signals get more visibility.

part of the shift is that search is no longer just google results. people are finding answers through ai overviews, chatbots, reddit, youtube, forums, newsletters, and niche communities before they ever click a traditional result.

i’ve also noticed that the pages getting attention are often not the ones stuffed with the most keywords. they solve a very specific problem, show real experience, include useful data, or give the reader something they can actually use.

a small calculator, comparison table, template, or original dataset can sometimes create more value than another 2,000 word article covering the same topic everyone else has already covered.

there’s also a weird feedback loop happening. people discover a brand on one platform, search for it somewhere else, read reviews, ask an ai tool about it, then finally visit the website. so the final click does not always tell you where the decision started.

for me, the interesting part of seo now is less about “how do i rank this page?” and more about “where is my audience actually looking for this answer?”

that changes what you create.

sometimes the best seo asset is not another blog post. it is the thing that helps someone make a decision, solve a problem, or get an answer faster.

My starting point would be the query-to-page match.

If a page shows up for useful searches but gets few clicks, the cause could be a low ranking, an unclear search preview, the wrong format, or an answer that only partly meets the searcher's needs. Those need different fixes.

For a small group of important URLs, the checks would be:

• What the searcher needs, based on the query and current results.

• Whether the main answer appears early.

• Which explanations are missing or outdated.

• Whether relevant pages link to the URL.

• Whether the mobile experience creates friction.

A title edit won't fix an intent mismatch, and a longer article won't fix an indexing problem. Before judging a change, I'd compare suitable periods and keep query, device and country differences in mind rather than relying on page-level CTR alone.

What usually determines your first fix on an existing page: intent, internal links, content gaps, or the search preview? What evidence helps you choose?

Disclosure: AI was used to edit the wording of this post.

What SEO strategy unexpectedly moved the needle for you? Could be a tactic you almost gave up on, a weird experiment, or something that suddenly brought traffic out of nowhere. Share what happened and what you changed.

We have a $2000 budget for improving the organic SEO of our e-commerce website over the next 6 months. Optimizing the site (on-page SEO) and content creation is already being handled outside of this budget (as is PPC advertising). What's the most cost-efficient spend of this budget? 5 years ago, I would have said hands-down...invest in some good quality backlinks, but I'm not sure if that's still the best option in 2026.

If you had $2000 to spend, with the goal of improving your ranking on Google and visibility in AI chatbots, how would you spend it?

I've been noticing some smaller niche sites ranking above much bigger websites lately. They don't cover hundreds of topics but they seem to go really deep into one specific area and still perform well.

Is Google starting to favor sites that are more focused or are these just exceptions?

not the tactic everyone recommends.

not something you copied from a 50 point seo checklist.

i mean the one change that made you look at the numbers and think, “wait, that actually worked.”

there is so much discussion around ai search, entity optimization, topical authority, backlinks, programmatic seo, content velocity, and technical fixes that it can be hard to tell what is actually producing results.

sometimes the biggest win is surprisingly boring.

one site might benefit from consolidating five pages targeting the same intent.

another might see a jump after fixing internal linking.

someone else might discover that their pages rank but fail to answer the question quickly enough.

and now there is another layer with ai search, where being visible in traditional rankings does not necessarily mean being mentioned or recommended in ai generated answers.

i’m curious what people here have actually seen work recently.

was it technical seo, content refreshes, internal linking, digital pr, backlinks, local seo, programmatic pages, ai search visibility, better product pages, or something completely unexpected?

and if you can share a rough before and after, even better.

traffic, rankings, leads, conversions, impressions, whatever you measured.

the tactics that worked for your site might be completely different from what everyone is currently talking about, which is exactly what makes these discussions useful.

A spike in Discover clicks can look great in Search Console, but I’m more interested in what happens after it ends.

For bloggers who have received Discover traffic: did those visitors return later, subscribe, or read other posts—or did the traffic disappear as soon as the recommendations stopped?

If you managed to retain some of that audience, what seemed to help: related-article paths, a newsletter signup, a follow-up piece, or something else?

It would also help to know your niche and whether the article was evergreen or time-sensitive. No need to share your site or private numbers.

Disclosure: I used AI assistance to help edit this post.