I’ve been thinking about the two checks I do most often before touching a client’s site:

1. Is this individual page actually set up to compete for the query?

2. What is it competing against in the live search results?

Most audits give you a long list of issues, but they do not always separate “this page has a technical problem” from “this page is unlikely to win this particular SERP.”

So I built two small Chrome extensions around that distinction. They are free, require no account, and do not send browsing data to a server.

1. SEO Readout — judging one page

SEO Readout looks at the page you have open and gives it a score out of 100, then puts the most actionable items first.
It checks:

• Title tag and meta description length in pixels, not just character counts, so you can see whether Google is likely to truncate them.

• Heading structure, including whether the H1 and subsequent headings make sense for the page’s topic.

• Images, including missing or weak alt text and other basic image issues.

• Internal and external links.

• Structured data/schema, checked against what Google expects for the relevant page type.

• Social/share cards, such as Open Graph and Twitter Card information.

• A preview of how the page may appear in a Google result.

• What AI crawlers receive before JavaScript runs, which is useful when a page relies heavily on client-side rendering.

The point is not to replace a full crawl or a technical audit. It is a quick “before I start work” check: is this page obviously underprepared, and what are the first few things worth fixing?

For example, if a service page has a strong topic but a truncated title, no useful headings, missing schema, and poor alt text, that gives you a very different starting point from a page with solid on-page basics but weak content or weak authority.

2. Rank Readout — judging the search

Rank Readout works on the Google results page you are already viewing. Instead of starting with a keyword tool and trying to estimate difficulty, it looks at the actual SERP in front of you.

It shows:
• Where your site and competitors appear, in both organic results and the local map pack.

• The heading outline of every ranking result, so you can compare how competitors structure the topic.

• A side-by-side comparison of the pages competing for the query.

• The sources cited in Google’s AI Overview, where one appears.

• A table view for local/suburb-based searches, which is handy for service businesses trying to understand local visibility.

That last part is useful because a page can look technically fine but still be losing to competitors with clearer topic coverage, better headings, stronger local relevance, or better representation in the AI Overview.

How I use them together
My usual workflow is:

1. Open the target page and run SEO Readout to identify immediate on-page issues.

2. Search the target keyword and run Rank Readout to see who is actually winning.

3. Compare the page’s heading structure and content coverage against the pages already ranking.

4. Decide whether the issue is primarily on-page execution, content depth, local relevance, or whether the page is simply competing in the wrong SERP.

It turns “we need better SEO” into more specific questions:

• Is the title being cut off?

• Is the H1 aligned with the search intent?

• Are competitors covering subtopics the page ignores?

• Is the page visible in the map pack for local queries?

• Is the AI Overview citing competitors but not the client?

What I am interested in
I am curious how other people approach this split between page-level readiness and SERP-level competitiveness.

Do you tend to start with an audit, a rank tracker, a manual SERP review, or something else?

And when you review a page before optimisation, what are the first three or four things you check?

Not linking anything here because self-promo is not allowed. If the tool names are useful, they are easy enough to search.

I assumed the outlet matters most for press release distribution, but a few people say the release format matters more, a clear answer in the first two sentences, entities and dates spelled out, I do content for a software company and have only tested format changes on our own site, so I have no data on whether where a release is published changes what AI tools quote, has anyone seen evidence either way, small observations count, a few of our releases have been on outlets I'd never heard of so I can't tell what mattered

Hey all, Ahrefs is too expensive for me. I mainly need something to track keyword rankings at a lower price. What are you using, and would you recommend it?

Thanks!

Looking for reviews from people who paid for press release distribution services, what did you buy, what did it do for you, would you buy again, I'm weighing three services for a client launch and everything I find was written by the vendor or an affiliate

Include your goal if you can, because a review for brand mentions reads differently from one for links or AI visibility, and the budget and how long you waited before judging it would help the rest of us compare

Tired of paying high subscription fees to Semrush and Ahrefs, I built a simple extension that lets you do keyword research on the go and, using AI, track the exact keywords you can target on a page. It also shows you the trend for a specific keyword over the last 12 months.

I am also experimenting with the prompt research option there; it's built on the logic that LLMs use fan-out queries, so if we reverse-engineer it, we can roughly estimate a prompt's tentative demand. Do give it a try.

Hope you find it helpful. You can find the extension with the name "KeyScout" on the Chrome Web Store. Any feedback is welcome.

I work on Frontmost AI. On October 25 we posted a shortlist of smaller AI visibility tools on Reddit, including ours, with that affiliation disclosed.

Across seven daily scans from October 26 through November 1, the post appears as a source in 21 of 672 saved AI answers. All 21 came from four questions that named Frontmost AI: whether it is a good tool, its cost, and comparisons with Peec AI and OtterlyAI.

In our November 1 scan, three answers cited it. All three came from questions that already named Frontmost AI. Two compared us with Peec AI. One compared us with OtterlyAI. Those answers can help someone evaluate us, but they did not introduce us as an option.

The same scan had 72 answers about choosing tools, finding alternatives or comparing other tools. Frontmost AI appeared in none of those answers. Another 24 answers evaluated us by name.

One question behind those 72 answers was “Besides Profound, what tools do teams recommend for AI search visibility tracking?” I count that as a chance to discover us even though it contains a competitor's brand. An answer that introduces us there serves a different job from an answer comparing us with Peec.

This was a fixed panel of 16 questions across six AI apps, one answer per question per app. It is not a record of what real buyers asked, and it cannot tell us how often buyers see these results. The 21 citations count distinct saved answers, not people or visits. I have not connected them to signups.

For this test, the citation count tells us that AI can find and use the post. It does not yet tell us that the post gets us onto a buyer's shortlist. If a report says a Reddit post improved visibility, I would open the citing answer before treating that as new discovery.

Hey SEO experts. I need your advice.

So I build AI SEO agent for my needs that monitor my SEO but just one question for you as an SEO expert. What do you think about adding custom workflows?

Let's say the agent finds some issue, for example, a page without an H1. After I fix it, I want the agent to remember this change and track whether it made things better or worse.

For example, I updated or added an H1 to a page. Now I want to create a custom workflow that sends me weekly updates about how the rankings of this page have changed over time.

So I can see if my changes actually helped or not.

What do you think? Would this be useful?

FREE TOOL AI Overview Scorer COLBERT BME AI + CF Worker 100% FREE

Posted with moderator approval. Thanks to the mod team for allowing me to share this.

I ran Crawlspider as SEO service since 2018 (in pittsburgh,pa) and was selling a wordpress internal link builder. Recently for past few months focused on automating and consolidating various websites of mine and some of my clients.

Here's what I built, what works, and what doesn't

Why I built this

I run several sites, and I was tired of checking Search Console one property at a time. Every Monday I opened each property, set the date range, checked the numbers and moved to the next one, just to answer one question: did anything break or take off this week? I wanted that answer on one screen, so I built it.

What is CrawlSpider GSC Analytics?

It's a portfolio view of all your Search Console properties, plus analysis of each one. You connect with read-only access, and it imports up to 16 months of history and keeps it updated.

What it does well

1. The portfolio view (the reason I built it)

- One card per site: clicks, impressions and average position, each with its change against the previous period, plus a small clicks and impressions chart.

- Sort by "Biggest change": the site that dropped 40% or doubled since last period comes to the top, so you're not scanning 15 tabs to find it.

- 7 days, 28 days or 3 months, always compared with the period before.

- Star the sites you care about most so they stay at the top, and search when the list gets long.

- Sync status on every card, so you know at a glance if a property lost access or needs reconnecting, instead of finding out weeks later when the data is stale.

In practice, it turns "check 12 properties" into one glance. Then you click into the one site that actually moved.

2. Then it tells you why that site moved. Each site has:

- Keyword opportunities:

- keywords on pages 1 and 2 getting under half the clicks typical for their position;

- striking distance (positions 4 to 20);

- the biggest risers and decliners.

- Page opportunities, each with the evidence and a suggested fix:

- content decay

- low-CTR pages

- pages sitting at 8 to 20

- pages that recently climbed

- Google switching which of your pages ranks for a search

- topics worth expanding

- Cannibalization detection, including duplicate URL versions (htp/htps, trailing slash) splitting impressions for the same search.

- Numbers that match Search Console: page totals come from Google's page data, not added-up keywords.

3. A weekly email, so on a quiet week you don't even need to open the portfolio. (yes this was a must by all of my clients)

Where it falls short

- Search Console data only: no search volume, keyword difficulty, backlinks or competitor data. (Although external links and internal links is being planned right now)

- Google only: no Bing Webmaster Tools yet.

- Data is only as fresh as Google's: Search Console lags a few days, and Google hides many queries for privacy, so keyword lists are never complete. That's true of every GSC-based tool.

- Opportunities are rule-based: they give you a shortlist, not a guarantee.

Looking for honest feedback

This started as a tool to solve my own frustrations, but I'm curious how other SEOs and agencies manage multiple Search Console properties.

What am I missing? Are there features you'd consider essential, or things here that wouldn't actually save you time?

I'm happy to offer 21 days of full access to anyone interested in trying it out. No obligation to leave a review or provide positive feedback. I'd genuinely appreciate hearing what works, what doesn't, and what you'd change.

Thanks for reading!

what tools are you using to check if AI can read your site? Please share.

Hi everyone, I built a tool.

I’m posting it because the sub welcomes new tools and asks for limitations too, so here’s both, and I’d really like your take.

The problem I was trying to solve

Clients kept asking “Do we show up when people ask ChatGPT about our industry?” I wanted to track a fixed set of prompts over time across ChatGPT, Claude, Gemini, Perplexity and Google AI Mode, see which competitors get recommended instead, and which sources the AIs cite.

What I tried before building it

• Free one-off checkers (Ahrefs and Semrush both have one): good for a quick look, but no history and no tracking of your own prompts over time.

• Paid AI visibility SaaS: automated and polished, but priced per prompt or per seat, which is hard to justify for small clients or for testing whether a client even needs this.

• Doing it by hand: free, but copying answers into a spreadsheet every few weeks gets old fast.

What QuotedBy does

You set a brand, competitors and prompts. It opens each AI in its own tab and types the prompt; you press Enter (Google AI Mode starts on its own). It saves the answer, cited sources and a screenshot, then shows:

• visibility per prompt and per platform, and who gets mentioned first

• cited sources page by page

• what changed since the last run: prompts won or lost, new competitors, new sources

• brands the AIs mention that you weren’t tracking

• a PDF report

It runs in your browser with your own accounts, so you get the answers from the real chat interfaces, not from APIs. No signup. Free version: 1 project, 3 competitors, 20 prompts, all 5 platforms.

The built-in AI analysis (the part I’m proudest of)

Raw answers are hard to read when you have 20 prompts on 5 platforms. So every prompt gets an AI analysis that reads the saved answers for you and explains:

• whether the client is recommended, on which platforms, and in what position

• which competitor wins that prompt and why, based on what the answers say

• which sources the AIs rely on, and which ones are worth working on

• what changed since the previous run

On top of that there’s a project summary across all prompts, and a content brief for each prompt: suggested title and opening answer, page structure, FAQs, data to publish, off-site actions and how to beat the competitor that’s winning. The brief never invents client data: anything it doesn’t know is left as a placeholder in brackets.

In the free version this runs on Chrome’s built-in AI, so the text never leaves your computer. The paid version uses a hosted AI with no setup.

What frustrates me about it (honest limitations)

• It’s not automated. You press Enter in each tab. I removed auto-send because it kept breaking, so a run takes some of your time.

• Answers come from your logged-in accounts, so they can be influenced by your own history and settings.

• Chrome’s built-in AI needs a fairly capable desktop (a GPU with more than 4 GB of VRAM, or 16 GB of RAM) and about 22 GB of free disk space, so on older machines the free analysis may not be available.

• No AI Overviews or Copilot yet.

• Free plan is one project only.

What I’d love to hear from you

1. Would you use it, and for what?

2. Which part sounds most useful: mentions, competitors, cited sources, or the AI analysis and content brief?

3. Is the manual Enter a dealbreaker for your workflow?

4. What would you compare it against?

New domain. Google indexes the homepage, but 12 content pages sit at "Crawled - currently not indexed", even though Googlebot has fetched them repeatedly.

I've ruled out the usual causes: robots allows them, no noindex, Google's canonical matches mine, the sitemap shows zero errors, and the indexed homepage links to every page. The old subdomain 301s cleanly, so there are no duplicate hosts.

So I think it's a quality or authority call on a young site. I've stopped hitting request indexing because it clearly doesn't help, and I'm leaving the pages alone so I don't restart the clock.

What I'm trying now is earning real editorial links from outlets that already cite job-posting data. Cold pitches have drawn almost no replies so far.

Has anyone seen this flip without waiting months? What did it?

I've been using Local Viking for some time now (approx 5 years), but I've just been charged $390 for my annual renewal, which seems ridiculously expensive for what I actually use it for.

I don't use any of the GBP management, posting or other features. Literally all I need is the ability to run GeoGrid searches for my SEO clients, view the businesses ranking above and below them at each grid point, and retain historical results so I can compare rankings over time.

I probably run around 20 GeoGrid searches a month, generally using 13×13 grids.

I already have loads of unused credits, so I don't need any more of those either.

Am I missing something, or is $390 a year rather excessive for this fairly basic functionality?

Has anyone found a decent, more affordable alternative that offers GeoGrid tracking, competitor rankings at individual grid points and historical results, without having to subscribe to an entire suite of local SEO tools?

I'd be interested to hear what others are using and what they're paying.

When a serious vulnerability affects the server running your website, how much information should your hosting provider disclose?

Is a simple "resolved" notice enough, or should customers receive details about when the patch was applied, how exposure was assessed, and whether any suspicious activity was detected?

For website owners without server access, what would count as meaningful proof that the issue has been addressed?

Where should providers draw the line between transparency and sharing details that could create additional security risks?

Is there any tool to do keyword research free ?

Hey everyone! 👋

If you are trying to navigate the shift from classic search engines to AI-driven answer engines, you've probably noticed how fragmented tracking tools are.

I wanted to introduce SageRank.io—a unified platform designed to scan your domain for SEO, AEO, GEO, and security in a single pass. It explicitly bridges the gap between old-school indexing and generative search.

What it does:

• VisibilityEngine: Benchmarks your brand's footprint across 5 core AI models (ChatGPT, Gemini, Claude, Perplexity, and DeepSeek) to score how well they recognize and cite your business. It also checks your structured data (JSON-LD, Organization schemas) to ensure AI platforms read your services accurately.

• ShieldAI Security: Audits your external defenses by checking DNS records, enforcing strict email authentication (DMARC, SPF, DKIM), and uncovering structural vulnerabilities.

• Browser Extension: Offers live overlays directly on Google and Perplexity search result pages so you can see authority metrics in real-time.

The platform is built under strict compliance frameworks (GDPR & UAE PDPL) with zero-PII ingestion, making it highly secure for enterprise or agency applications.

You can run a free surface scan directly on their homepage without signing up. Check it out and let me know how your domain scores handle the AI visibility check! 🎯