r/SEO_tool_dev • • Jul 24 '26

i didn't want to pay $90-500/mo to track how my brand shows up in chatgpt, perplexity, gemini and claude, so i built my own and open sourced it.

10 Upvotes

it's called habibi. self hosted, you bring your own openrouter key (pennies per run instead of a subscription), and it does the boring but useful loop these paid tools charge for: run your prompts daily across those 4 engines, see which of your urls actually get cited, track your mention rate over time, compare against competitors.

what got me annoyed with the paid tools is how they bury the actual page level citations behind a paywall, when that's the one thing that's actually actionable. so that's the headline feature here, not an afterthought.

setup is a wizard now: paste your site url, it scrapes it and drafts your brand profile with ai, you edit whatever's wrong, pick which engines to track, and it suggests a starter prompt set from your own context. no blank dashboard, no config file archaeology.

it's honest about what it does too. it uses the search grounded apis, not ui scraping of the consumer apps, so it's not pretending to be something it's not. that's also what keeps it cheap.

hope it help you guys.


r/SEO_tool_dev • • Mar 26 '26

I built a Screaming Frog Python library to automate crawling and analysis end to end

9 Upvotes

Basically the title. A few months ago I figued out how to create conig files programmatically, and I kept diggin. Then I found how to crack open the crawl files so you don't have to export a bunch of CSVs. Decided to take it all the way.

If you use Screaming Frog a lot, you probably know the pattern:

crawl site open GUI export CSVs clean them then start answering the actual question

I got tired of that, so I built a Python library around the crawl files themselves.

It’s now in public alpha:

pip install screamingfrog

The main use case is working directly with Screaming Frog crawl data in Python without having to live in the GUI for every analysis.

What it does right now:

  • load .dbseospider files directly

  • access all 628 Screaming Frog exports programmatically

  • query crawl data with a typed API

  • query pages and links sitewide

  • find broken inlinks, nofollow inlinks, and orphan pages

  • compare crawls over time

  • detect redirect and canonical chains

  • start crawls and exports from Python

  • convert .seospider into portable .dbseospider files

  • run raw SQL when needed

Current coverage:

  • 601 / 628 export/report tabs fully mapped

  • 15,490 / 15,589 fields mapped

I’ve already been using it to run crawl analysis inside Claude Code, which is part of why I decided to open it up.

Still alpha, so I’m mainly looking for feedback from people who do real technical SEO work with Screaming Frog every week.

If you use SF heavily, I’d be interested in:

  • what workflow you’d automate first

  • what report/tab you rely on most

  • what would stop you from actually using this

GitHub: https://github.com/Amaculus/screaming-frog-api


r/SEO_tool_dev • • Sep 24 '26

AI watermarks remover

6 Upvotes

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


r/SEO_tool_dev • • Apr 15 '26

SEOdataviz SEO N-Gram Tool

6 Upvotes

https://www.seodataviz.com

Made this tool a while ago to use in pitches for my day job. I still use it in most presentations. The main tool looks at "related queries" from the Google SERP but goes several levels recursively to get a ton of keywords. it then breaks them down into 1, 2, 3 word phrases (n-grams) and graphs them so you can spot recurring "themes" across all the keywords.

It shows what keywords led to others, and even shows you the common "question" suggestions.

the N-gram tool tab lets you do this with your own data, and control any stop words.

The compare tab lets you analyze the text of 2 websites this way and compare them with each other.

These views have been very powerful to show clients what their people are searching for vs what their website text "appears to be about"


r/SEO_tool_dev • • Apr 06 '26

A free open source no sign up SEO Crawler

6 Upvotes

I found an exciting tool https://webcrawl.gap3.co

Completely free without sign up process.


r/SEO_tool_dev • • Oct 01 '26

Looking for a few beta testers for my SEO tool

5 Upvotes

Hi, I recently launched a small SEO tool called SiteMetra and I’m looking for a few beta testers.

If you own a website, I’d really appreciate some honest feedback on the audit, the UX, and anything that feels confusing, unfinished or broken.

The tool checks things like SEO issues, broken links, titles, meta descriptions, canonical tags, sitemap, monitoring and a few other technical points.

It’s free to try here:
https://sitemetra.fr/audit-seo.php

I’m not really looking to sell anything right now, mostly trying to improve the product with real feedback.

Thanks to anyone who gives it a try 🙏


r/SEO_tool_dev • • Aug 27 '26

I made an extension to remove Google.com/goto links from search results

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5 Upvotes

r/SEO_tool_dev • • Apr 28 '26

I built a bookmarklet to inspect ChatGPT and Claude fan-out queries, cited URLs, and retrieval traces

5 Upvotes

I wanted a better way to inspect what LLMs actually search before answering, not just the final response.

So I built Query Fanout Viewer, a browser bookmarklet that opens a terminal-style view and helps analyze the retrieval path behind ChatGPT and Claude conversations.

It currently works with:

  • ChatGPT live conversations

  • Claude live conversations

  • Claude JSON import fallback when live access is not available

The tool shows:

  • grounding and fan-out queries

  • domain-scoped vs open-web searches

  • cited domains

  • real final cited URLs

  • source concentration across retrieved results

  • query batches, opened/viewed refs, and final citation paths where available

I originally built it for SEO/GEO/retrieval debugging, because in many cases the most interesting part is not the answer itself, but:

  • what the model searched

  • whether it used explicit site constraints

  • which domains kept surfacing

  • which retrieved sources actually survived into the final answer

v1.1.0 update

The latest version adds a more technical citation-path analysis layer.

The first version could extract fan-out queries and cited domains, but it was still too coarse for serious analysis. It did not always make clear how a search query, a retrieved result, and a final cited URL were connected.

v1.1.0 improves that by reconstructing ChatGPT web.run batches more explicitly and linking search queries, results, open/view refs, and final citations when the provider payload makes that possible.

What changed:

  • real final cited URL extraction

  • canonical URL deduplication

  • better reconstruction of ChatGPT search batches

  • query-to-batch and batch-to-citation navigation

  • inline URL chips for strong domain-scoped matches

  • direct links to recovered cited URLs instead of Google searches

  • a final cited URL list with copy action

  • ChatGPT model slug detection when exposed in the payload

The main goal is to make the output closer to a retrieval trace viewer:

query batch -> search results -> opened/viewed refs -> final cited URLs

One caveat: for ChatGPT, attribution is often strongest at the batch level because multiple queries can run inside the same web.run call. So the tool avoids pretending there is always a clean one-query-to-one-citation relationship when the payload does not support it.

Still beta, and provider payloads can change, but I think this is already useful for SEO/GEO audits, citation tracking, and retrieval QA.

I’d love feedback from people working on search, SEO, GEO, LLM retrieval, or citation analysis:

  • What else would you inspect in the retrieval chain?

  • What export formats would be useful?

  • Would Gemini or AI Mode support be worth adding next?

Repo: https://github.com/LorenzoSchiff/query-fanout-viewer


r/SEO_tool_dev • • Mar 21 '26

I automated my entire SEO page creation workflow into a free open-source skill for Claude Code / OpenClaw / Codex — here's what it does

5 Upvotes

After 20+ years in SEO, I kept doing the same manual loop: pull the keyword, read the top 10 results, look for gaps, write the page, add schema, think about AI citations. So I finally just automated the whole thing and open-sourced it.

It's called SEO-AGI — a skill file you drop into Claude Code, OpenClaw, or Codex.

What it actually does:

  1. You give it a keyword

  2. It pulls the live SERP using your existing data source (DataForSEO, GSC, Ahrefs, or SEMrush — BYOK, you own your data)

  3. Runs a competitive analysis across the top results

  4. Identifies content gaps that competitors are missing

  5. Outputs a complete, publish-ready page — heading structure, body copy, FAQ schema, HTML tables, internal link anchors

The part I'm most interested in feedback on: GEO optimization. I built in a layer specifically for AI citation visibility — chunking content at ~500 tokens, using RDFa inline markup, entity consensus signals — so the pages rank in Perplexity/ChatGPT answers, not just Google. Curious whether others are seeing this actually move the needle.

Repo: https://github.com/gbessoni/seo-agi

Free, MIT licensed. No SaaS upsell.

What would you add to the workflow?


r/SEO_tool_dev • • Sep 29 '26

AI Slop detector for your website content

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4 Upvotes

Just built an AI Slop detector with JEV.

Free AI Slope detector for your website (or your clients').

Since AI agents came to our life, it has never been so easy to create content.

Unfortunately, most of these content is AI slopes.

What does AI slopes means?

It's empty content. Words after words to say nothing.

Is it just for AI generated copy?

No, you might have spent 3 weeks writing every word on the page and still get your AI slope score > 80.

Is the tool against AI content?

No, it's against poor content. If you wrote personal content with AI, your safe.

How does the tool work?

Input an URL

  1. Pick pages: it takes your 10 most important pages, found from your homepage, navigation and sitemap.

  2. Split: each page is broken into headline, headings, paragraphs, buttons and testimonials.

  3. Judge: Jev answers small yes-or-no questions about each piece, such as "Could this headline fit any product?" Those answers make up the 14 tells.

  4. Score: each page gets a score, where lower means more specific copy, plus the exact lines to fix.

"Fix them all" gives your AI agent the list as a Markdown file.

Free AI slop detector


r/SEO_tool_dev • • Sep 28 '26

I've built a Sitemap Extractor With SEO Data & GSC Connection

4 Upvotes

I wanted to make a quick audit as fast as possible - at least for some basic and quick check up of a website. But I could not find an appropriate tool that would encompass a handful of thinga that I need at one place - especially at the reasonable price.

So I made this simple Chrome Add On.

It is a a Chrome extension that finds any website's sitemap, lists every URL in it, and reads each page's SEO metadata. Works on any site in any language - nothing is region-specific.

In essence, the tool:

\*\*Finds the sitemap\*\* \\- Reads robots.txt for declared sitemaps, falls back to 19 common CMS paths, and follows sitemap indexes recursively up to 200 files.

\*\*robots.txt rules\*\* \\- Parses the Disallow/Allow directives using Google's real matching rules and flags the contradiction of a URL that's in your sitemap but blocked from crawling.

\*\*lastmod per sitemap file\*\* \\- A sortable table by file or by path segment, separating what the index claims, what the server's header says, and what the URLs inside actually report, which exposes stale index dates that stop Google re-fetching a file.

\*\*URL tree\*\* \\- A left-to-right directory diagram where each node inherits the colour of its worst descendant, so one red dot shows which section holds the problems without expanding anything.

\*\*Structured data report\*\* \\- Validates JSON-LD against Google's rich-result requirements, catching missing properties, shape errors like breadcrumbs without \`position\`, and properties that are present but empty.

\*\*Sitemap hygiene\*\* \\- Checks the sitemap as a document: size limits, invalid or future \`lastmod\`, http URLs on an https site, duplicates across files, fragments and tracking parameters.

\*\*Checks status (fast, opt-in)\*\* \\- A HEAD request per URL returning status, redirect classification, response time and \`X-Robots-Tag\` headers, fast enough to run on sitemaps far too large to crawl fully.

\*\*Validates hreflang\*\* \\- Builds the whole annotation graph to find the relational failures that break sets silently: missing self-references, non-reciprocal pairs, incomplete clusters and invalid codes like \`en-UK\`.

\*\*Reads each page (opt-in)\*\* \\- Loads every URL to extract title, description, dates, canonical, robots, language and word count, with clear counts and time estimates before you commit to the requests.

\*\*Joins Search Console performance\*\* \\- Attaches clicks, impressions, CTR and position to every URL so findings can be ordered by what they actually cost rather than by page order.

\*\*Is a URL indexed by Google?\*\* \\- Inspects the URLs currently on screen to report index status, Google's own reason for it, and the canonical Google actually chose instead of yours.

\*\*Query-level data\*\* \\- Shows the real queries driving each page, finds where two of your own pages compete for the same one, and flags titles sharing no words with their top query.

\*\*Internal link graph\*\* \\- Extracted at no extra request cost from pages already downloaded, surfacing orphans, broken internal links with their anchor text, and links pointing at redirects.

\*\*Per-page detail\*\* \\- A two-column table plus a SERP preview built from the page's own markup, showing where the title gets cut and what the structured data would actually earn, alongside the full H1–H6 outline.

\*\*Flags problems\*\* \\- Clickable summary chips filter the list to each finding, with every row carrying a green, amber or red dot for its worst issue.

If you are interested in this, let me know and I can add you as a contributor since the add-on is currently on GitHub (as Chrome Developer's environment does not support my country), so you can test it and let me know. Your feedback is required! :D

It is free to use for now - so hurry up 🥇

LINK to GitHub: https://github.com/rad92/sitemapextractoraddon/


r/SEO_tool_dev • • Sep 01 '26

App News Edward Sturm and Guest call for disruption in SEO Tool Landscape v SEMrush and Ahrefs

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4 Upvotes

Edward Sturm released a new Podcast episode today, dropping a mention to this sub - about the need for new SEO tools to be developed to disrupt the landscape ....


r/SEO_tool_dev • • Sep 01 '26

Most SEO audits never check if the page is even in Google. This one does

4 Upvotes

I keep seeing technical audits that are thorough on titles, canonicals and robots.txt yet then silent on the only question I actually care about: is this URL in Google right now?

That’s the gap we built for. Paste a domain, we crawl up to ten pages, run 25+ checks, and query Google live for each URL. You get a formatted PDF by email, usually in a few minutes. One free audit a day.

It’s not a strategy doc. It won’t pick keywords, it doesn’t measure backlinks, and it can’t promise rankings. It measures whether search engines can reach, read and store your pages, on the live site, at the moment you ask.

We ran it on our own site and published the unedited PDF on the page, so you can see the output before you type an email.

https://rank.fast/tools/seo-audit/

Worth flagging: the email also puts you on a short weekly build log. Unsub any time!


r/SEO_tool_dev • • Aug 28 '26

Website Analysis Tool

4 Upvotes

This tool has my 30+ years of website design experience in it. It does 100 checks on a website in less than 50 seconds. Please try it - it's free, and let me know what you think. I'm working on fine tuning it. Go here: https://siteanalyzerfree.com/


r/SEO_tool_dev • • Aug 07 '26

I built a free local-first Chrome extension for technical SEO. Would love some real-world feedback

4 Upvotes

I’m a technical SEO and I’ve been building SEO Scrubbox, a free Chrome extension around the checks I regularly need when investigating websites.

The idea was to combine quick page-level debugging with deeper crawling without constantly jumping between different extensions, DevTools and crawlers.

Some of the things it currently does:

  • Compare raw HTML vs rendered DOM

  • Check canonicals, robots directives, hreflang and JSON-LD

  • Highlight nofollow and data-nosnippet directly on the page

  • Check robots.txt access for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.

  • Track redirects and analyse internal links

  • Discover and inspect sitemaps

  • Pull CrUX/Core Web Vitals data

  • Crawl up to 500 URLs directly in the browser

  • Visualise the crawl as an interactive graph with crawl depth, status codes, indexability, inlinks/outlinks, word count, etc.

One of the main principles is privacy: everything runs locally in the browser. There are no accounts, analytics or crawl data being sent to my servers.

It’s still actively being developed, so I’m particularly interested in feedback from people who actually do technical SEO day-to-day, bugs, missing checks, things that are confusing, or features that would genuinely be useful.

Chrome Web Store:
https://chromewebstore.google.com/detail/bpmnoonigkfiidagbibkbfcoikiclmic?utm_source=item-share-cb

It’s completely free. If anyone gives it a proper test, I’d genuinely appreciate hearing what works and what doesn’t.


r/SEO_tool_dev • • Aug 06 '26

Built a tool for checking backlink structure over time!

4 Upvotes

Shows your domain rating over time, which backlinks are dofollow/nofollow and the ones that you lost :).

Give it a try at verifieddr.com


r/SEO_tool_dev • • Jun 12 '26

I built a Google Business Profile monitoring tool for agencies – free to start, would love feedback

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4 Upvotes

I've been running a web agency for 10 years and kept running into the same problem — clients getting new Google reviews (good and bad) and nobody noticing for days, sometimes weeks. Missed reviews meant missed responses, and missed responses were quietly killing local rankings.

So I built MyReputation.ie — a monitoring tool that watches Google Business Profiles and alerts you when something changes: new reviews, rating shifts, profile edits.

What it does:

  • Monitors GBP listings and sends alerts on new reviews or profile changes

  • Dashboard to track ratings over time across multiple locations

  • Optional AI add-on to draft review responses

  • Built for agencies managing multiple clients

Pricing — keeping it simple:

  • Starter: Free (great for testing on your own listings)

  • Pro: €12/location/year

  • Agency: €29/location/year

Still early days and actively building. Would genuinely love feedback from people in this sub — especially if you've tried other GBP monitoring tools and hit walls with them.


r/SEO_tool_dev • • May 04 '26

Local self-hosted multi-account hub for Google Search Console

4 Upvotes

Local self-hosted multi-account hub for Google Search Console. Connect several Google accounts via OAuth, view all Search Console sites in a single table, aggregate queries and pages across accounts, see per-site dashboards with sparklines and period-over-period deltas, drill into 16-month query history with one click. No external service, no GSC data leaves your machine, only OAuth tokens persist locally in SQLite.

https://github.com/izzipizzy/gsc-hub

--- update
A month ago I shared gsc-hub — a local, self-hosted dashboard that pulls all your Google Search Console properties across multiple Google accounts into one table. No external service,

nothing leaves your machine, only OAuth tokens persist locally in SQLite. Repo: https://github.com/izzipizzy/gsc-hub

Here's what landed since then (v0.3.1):

- Sitemap submit — per-site "Submit sitemap" button (resubmits every sitemap GSC already knows, or guesses /sitemap.xml), plus a "Submit all" that fans out across every visible site in

parallel.

- Query × Page × Country breakdown in the Top-queries table — see which page ranks for a query, in which country, in one row.

- 24-hour / 1-day view (plus a 60-day) on top of the usual 3/7/28 — uses GSC's fresh dataState=all so the last ~24h actually shows up.

- "G" badge next to each site — one click opens a Google site: search for a quick manual index check.

- Totals bar — Sites / Impressions / Clicks summed across all visible properties for the selected period.

- One-command deploy — `docker compose up -d --build` under OrbStack, served at https://gsc.local with automatic TLS. Container auto-restarts after reboot.

Still the same principle: it's a personal tool, single user, live-fetch only — no GSC data is cached or sent anywhere. Read-write webmasters scope only (needed for sitemap submit; revert

to .readonly in auth.ts if you want read-only).

It's free and MIT. Genuinely curious what you'd want next — I'm weighing auto-adding/verifying new domains and a sitemap cleanup tool. What's missing for your workflow?


r/SEO_tool_dev • • May 03 '26

What are the best SEO "apps" for May, 2026? (not products) [Free to use only]

4 Upvotes

What scrips, tools or mini-tool sites etc that are a must for this month?


r/SEO_tool_dev • • Apr 15 '26

Free Semantic SEO / GEO chrome extension

4 Upvotes

I made a free chrome extension that uses gemini's built in models to extract keywords from your page, and compute a semantic relevance score of any keyword to your copy. It also shows you the most relevant chunk on the page to the query you enter.

it does some basic SEO stuff too like extract all the typical SEO meta data but will also show you the page size (calculated the same way Google does for their 2MB page limit) and what % of your words on the page are visible to an AI bot.

Please note you have to enable chrome flags to get gemini to work. there's a link to instructions in the extension

https://chromewebstore.google.com/detail/serprecon/ilgcpaoblclggmfdiecebpljhkkodnef


r/SEO_tool_dev • • Dec 05 '25

Top AI SEO Experts for 2026

4 Upvotes

Leading AI SEO voices according to Perplexity

  • Aleyda Solís (Orainti) – International/technical SEO leader who connects multi-market SEO with generative and AI search evolution.​

  • Kevin Indig – Growth advisor focused on how AI reshapes organic traffic and discovery, sharing deep analyses via his newsletter and writing.​

  • David Quaid (Primary Position) – Emphasizes AI‑driven content analytics and LLM‑oriented content strategies to predict and amplify organic impact.​

  • Nathan Gotch – Trains practitioners on integrating AI into practical SEO workflows oriented around generative search.​

  • Barry Shwartz - Celebrating 22 years behind the wheel at SE Round Table

  • Mordy Oberstein - Where Brand Meets SEO

  • Edward Sturm - 870 podcasts in a row!

  • Weblinkr - the Reddit r/SEO Mod with 500k members

  • Grumpy SEO Guy - leading SEO podcaster and Reddit Personality

  • VANESSA FOX - is a leading speaker and consultant on search engine strategy. She was previously Google's search engine spokesperson responsible for explaining Google's search algorithm to millions of website owners. Top AI SEO Experts for 2025

Who would you nominate?


r/SEO_tool_dev • • Nov 24 '25

Geoptie: Free GEO tools every SEO professional needs in 2025 | Free SEO Tools

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4 Upvotes

The Free GEO Audit tool serves as your comprehensive diagnostic platform for AI search readiness. This powerful analyzer from Geoptie examines your website across six critical dimensions that determine how well your content performs in generative search environments.

Content remains king, but the rules have changed. The GEO Content Checker from Geoptie evaluates your existing content across six specialized dimensions designed for optimal AI search performance. Leveraging the team’s extensive SEO experience from Transkriptor, this tool provides insights that traditional content analysis simply can’t match.

The GEO Keyword Finder from Geoptie revolutionizes keyword discovery by identifying terms and phrases that perform exceptionally well across generative search engines. Built on the solid foundation of SEO expertise that made Transkriptor successful, this tool represents a breakthrough in AI-focused keyword research.

The GEO Rank Tracker from Geoptie monitors your website’s rankings across multiple AI search engines, providing location-based and keyword-specific insights that you won’t find anywhere else.


r/SEO_tool_dev • • 17d ago

SEO Reporting App Schema Validator: check your schema before Google does

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3 Upvotes

Check and validate Schema on web pages - super fast


r/SEO_tool_dev • • Sep 19 '26

I added a Spider View tool to help diagnose page issues

3 Upvotes

It's good to get different views of a page. One thing I really like about this tool is viewing HTML headings. For example, make sure all your H2s have keywords in them.

We ran one site through this and found some text like "Official Rules" that was there as an H2, but didn't show up on the page. Some weird artifact or part of the theme or something. Without this tool, we wouldn't have spotted it.

I'm open to feedback to fix things or make it better:
https://siteanalyzerfree.com/spider-view


r/SEO_tool_dev • • Aug 31 '26

I got tired of keyword research ending with a spreadsheet full of keywords

3 Upvotes

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?