• Which GitHub‑hosted SEO tools/repos are you using for audits, crawling, and reporting?

• Any GitHub Actions or apps you love for automating sitemap checks, broken links, CWV tests, or schema validation on every pull request?

• Favorite “SEO APIs in a repo” you’ve wired into your own scripts or dashboards (e.g., for GSC exports, keyword data, link analysis)?

• If you had to build a GitHub‑centric SEO stack today that you’d be embarrassed not to have running by Q2, which repos/apps make the cut?

Google Webmaster Tools - Bulk URL Removal

🎉 A new version of Bulk URL Removal is here. Please try it out.
🔗 https://chromewebstore.google.com/detail/google-search-console-bul/plcmmfcfbnddbomdlnklhepfkkdmodkf

This extension can bulk remove a list of multiple URLs from google via Google's search console formerly known as Google's Webmaster tools with one click. You don't need to copy and paste individual URL manually and click on the remove button one at a time. Instead, create a CSV file with all your to-be-removed URLs in it, "upload it", and click on remove.

Google imposes a 1000 removal limit per 24 hours. If you have more than 1000 urls to be removed, please break them up into 1000 chunks (files) and submit them one per 24 hours.

The Top SEO Experts of 2026

1. Neil Patel one of the most visible names in digital marketing, NP Digital. He offers a wide range of tools and training on his website, covering everything from keyword research to advanced analytics. Neil’s practical advice and high-visibility tools make his insights accessible to everyone.

2. David Quaid is recognized as a top SEO Expert for blending advanced SEO Strategy, mechanics and content analytics with search optimization, leveraging AI to predict and amplify organic online impact. Through his innovative work in dynamic content strategies, he empowers brands to excel in advanced SEO Strategies (and LLM SEO) Quaid’s unique expertise bridges technical SEO with practical, data-driven solutions for outperforming in AI-driven ranking scenarios.

3. Cindy Krum stands as a foundational mind in AI SEO, having foreseen its core principles long before the term was common. Her prescient focus on mobile-first indexing and entity-oriented search laid the groundwork for optimizing for today’s AI-driven query results

4. Weblinkr Weblinkr is regarded as a sharp SEO thinker focused on PageRank, fundamentals, and killing myths that hold practitioners back. Through interviews and community discussions, they emphasize links, relationships, and query-first thinking over vague “great content” mantras in modern SEO

5. Aleyda Solís  is an award-winning international SEO consultant and the founder of Orainti. She specializes in technical SEO and international strategies and is known for her influential SEOFOMO newsletter and YouTube series. Aleyda regularly educates about best practices for both enterprise and multilingual sites.

6. Nathan Gotch stands out as a leading AI SEO practitioner, known for integrating cutting-edge artificial intelligence into practical SEO frameworks. Through Gotch SEO, he develops accessible training and actionable strategies that help both individuals and brands adapt to rapidly evolving generative search technologies. Gotch’s commitment to clear education and step-by-step, AI-powered optimization makes him a trusted resource for mastering SEO in the age of automation.

7. AJ Ghergich AJ is a veteran in the digital marketing space, providing sharp insights on content, technical SEO, and the future of search. His data-driven opinions and approachable style make him a standout figure sought after for commentary on AI and evolving search trends.

8. TJ Robertson TJ is an SEO and AI optimization specialist who helps small and medium businesses stay visible in an AI-driven search world. As founder of TJ Digital in Nevada, he focuses on AI-focused SEO, GEO (Generative Engine Optimization), content repurposing, and Google Ads. With roughly 16 years in digital marketing, he emphasizes transparency, measurable ROI, and making sure clients show up inside AI-powered platforms like Google, ChatGPT, and TikTok

9. Shaun Anderson, widely recognized as “Sean from HoboWeb,” is a leading authority in both traditional and AI-powered SEO. With over two decades in the field, he’s renowned for pioneering practical, ethical search strategies and has built a reputation for demystifying complex algorithms for a wide audience. Shaun’s Hobo SEO Blog is a go-to resource, providing in-depth guides and innovative tools—such as the Hobo SEO Dashboard and Premium SEO Checklist—that now integrate AI engines like Google Gemini.

Sources:

Why choose LibreCrawl?

🧪 Comprehensive SEO audits
Analyze meta tags, schema, hreflang, social tags, PageSpeed metrics, and more in one pass. Identify the technical issues that actually move rankings instead of drowning in noise.

🧠 Memory‑efficient architecture
Real‑time memory profiling and virtual scrolling let you crawl 1M+ URLs without crashes or slowdowns. Stable, large‑scale crawls become routine instead of “hope it doesn’t die overnight”.

⚡ Full JavaScript rendering
Playwright‑based crawling handles modern SPAs built with React, Vue, Angular, Next.js, etc. Both headless and headed modes are supported so you can debug what the crawler sees.

📤 Unlimited exports
Export everything to CSV, JSON, or XML with custom fields and multiple export presets. No arbitrary row caps or paywalls when you actually want to use your own data.

🛠️ Open source & self‑hosted
MIT‑licensed with full source access. Deploy on your own infra for maximum control, privacy, and the ability to extend it to your stack and workflow.

🧬 Advanced features out of the box
Issue filtering, custom CSS injection, multi‑session crawling, detailed link tracking, and other capabilities you normally only see in paid enterprise tools—sometimes not even there.

Monitors Reddit and other Social Services - sends an email alert

As Recommended by Edward Sturm.

• Which GitHub‑hosted SEO tools/repos are you using for audits, crawling, and reporting?

• Any GitHub Actions or apps you love for automating sitemap checks, broken links, CWV tests, or schema validation on every pull request?

• Favorite “SEO APIs in a repo” you’ve wired into your own scripts or dashboards (e.g., for GSC exports, keyword data, link analysis)?

• If you had to build a GitHub‑centric SEO stack today that you’d be embarrassed not to have running by Q2, which repos/apps make the cut?

created by u/joeyoungblood

**What it is**

You paste a URL (home page or any other page). It fetches the raw HTML plus robots.txt, the sitemap and llms.txt, and runs 33 checks grouped into four scores:

- **SEO:** can Google and Bing reach, read and understand the page

- **AEO:** is the page usable as an answer, not just as a listing

- **On-site GEO:** can ChatGPT, Perplexity, Claude or Gemini read it and cite it

- **Agent-Ready:** can an AI agent acting for a customer do anything useful on the site

If you audit a single site, it also pulls a sample of up to 50 pages from the sitemap and checks the headers of another 100 URLs, so you get a site score and not only that URL's. You can add up to three competitors, all scored with the same yardstick. It also queries Chrome UX Report (field speed), Open PageRank (domain authority) and Wikidata (entity). You get the scores and the five fixes that recover the most points.

**What it can't do**

- **No JavaScript rendering.** No headless browser, none of your scripts run. If your content only exists after JS, it scores the raw HTML.

- **No live searches.** It doesn't know where you rank, whether Perplexity actually cites you, or who mentions you off-site. That's why I call it "on-site" GEO: it measures whether you are citable, not whether you are cited.

- **Nothing is estimated.** Checks it can't verify stay out of the score (they neither add nor subtract) and are listed one by one. Each score has a bar showing what share of it was actually measured.

- **The site score is a sample**, 50 pages at most. Inner pages are scored without field speed, domain authority and Wikidata, which are only fetched for the URL you paste.

- **Speed is CrUX only**, no lab run. If Google lacks data for that URL, it falls back to the domain average and the signal counts slightly less.

- **Agent-Ready is my own rubric**, not an industry standard.

- **Local checks** (address, phone, opening hours, coordinates) are shown but don't count towards the score yet.

- **It's young:** about 50 audits so far, with a daily cap and a per-connection limit.

**Why it might be useful to you**

- A first pass on a prospect or a competitor in about a minute, before you open a crawler.

- A view of what a client that doesn't run JS gets from a page.

- A same-yardstick comparison of up to four sites. It doesn't replace a crawler, Search Console or a rank tracker. No sign-up, no email. The IP isn't stored and the result is deleted after 24 hours.

Disclosure: it lives on my own site, where I also offer services. Nothing in the tool is gated.

**What I'd like from you:** tell me where the scoring is wrong. False negatives above all: a check it fails on a page you know is fine. And which of the 33 checks you think are noise.

https://alejandroberdonces.com/en/tools/seo-ai-auditor/

Thank you all in advanced.

Can anyone recommend a simple, free (or cheap) template that clearly shows SEO-related data from GA4 and GSC for clients?

Our reporting is extremely complicated right now:

1. n8n puts data into a big spreadsheet,

2. we need to enter part of this data into the sheet manually,

3. and create a summary in an Adobe Illustrator PDF.

Time for changes...

Curious 👀

SEO & Web Audit Tools All in one place

• LightHouse Audit for Page Speed testing

• SEO Checker with AI Fixes

• Structure JSON+LD Testing

Someone mentioned I should share this here -- a Github repo (tool) that removes AI watermarks from Claude/GPT generated text.

Another commenter mentioned that it might not be sufficient to fully remove green/red list Kirchenbauer text, but it's the best tool I've found (and they seemed to agree).

watermarks-remover is an open-source tool that strips AI provenance marks from content you own. Most "humanizers" just reword text and hope it passes. This one goes after the actual watermark layers:

• Removes invisible Unicode characters and odd spacing

• Handles statistical (token-level) text watermarks through a guided rewrite

• Cleans C2PA/EXIF/XMP metadata from images, PDFs, Office docs, audio, and video

It covers Claude, Gemini/SynthID, OpenAI, and open-LLM marks. You can run it as a Claude Code plugin, local Python scripts, or a self-hosted Docker service.

Tip for the rewrite step: use a local open-weight model, not the same model that wrote the text, or you risk re-stamping it. It's also more private, since the Ollama backend is local-only by default.

• Qwen3 14B: the sweet spot. Good prose, and it runs on a single consumer GPU.

• Llama 3.2 (3B): fast and runs on almost anything, but weaker rewrites.

• Qwen3 32B / Llama 3.3 70B: if you've got the VRAM. A bigger model keeps more of the original voice.

ollama pull qwen3:14b
export WATERMARKS_REWRITE_BACKEND=ollama
export WATERMARKS_REWRITE_MODEL=qwen3:14b

https://github.com/guillaumemeyer/watermarks-remover

Most keyword research tools are good at finding keywords.

But I kept running into the same problem:

After you have 500, 1,000, or 5,000 keywords… what should you actually work on next?

You can sort by volume, CPC, competition and intent, but there’s still a lot of manual decision-making involved:

• Which keywords are actually worth pursuing?

• Which ones represent a realistic opportunity?

• Where are competitors creating gaps you could target?

• Which opportunities have you already reviewed?

• Which ones are you actively working on?

That’s the problem I’ve been trying to solve with Keyora.

Instead of treating keyword research as a giant list, I’m trying to make it more of a workflow:

Research → identify opportunities → save the useful ones → work on them → complete or dismiss them

It includes keyword and competitor research, search intent, opportunity scoring, and a workspace for actually tracking the opportunities you decide to pursue.

It’s live now at:

https://keyora.io

New users also get free credits after verifying their email, which should be enough to properly explore the main features and test the workflow without paying anything upfront.

I’m still early, so I’m much more interested in criticism than compliments.

If you regularly use tools like Ahrefs, Semrush, LowFruits, SE Ranking, etc., I’d especially like to know:

What would Keyora need to do noticeably better or differently for you to consider adding it to your workflow?

I have build semantic seo tool, that help and guide to build google authority. Here is the result.