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AnchorPlanned
Turn GSC data into risk-scored SEO anchor plans in minutes
Anchor text planning is the spreadsheet ritual every link builder secretly hates. 3-5 hours per site, every month, guessing ratios and praying nothing breaks. AnchorPlanned kills that. Connect your GSC — in about 10 minutes you get a month-by-month anchor plan where every entry is risk-scored, and every page is classified by intent—all from your real search data, not third-party estimates. From $9/mo. Free trial — try it before you pay a cent.
I've been doing SEO for 8+ years already, so link building has been a core part of my work for a really long time too. Planning anchor text across client sites eventually became second nature: which URLs get links, which anchors fit where, how to balance brand / exact / partial / generic against the profile you already have, and how to avoid over-optimization patterns.
After doing this at scale for enough sites, something became obvious: the decisions were systematizable. Experienced link builders aren't improvising — they're running a mental pipeline. Mine just happened to be running inside a spreadsheet.
So I rebuilt the pipeline in code.
AnchorPlanned is the result. What used to be 3–5 hours per site per month is now ~10 minutes.
What it does:
Connects to your Google Search Console — pulls real query data, no manual keyword input
Outputs a month-by-month plan with specific anchors, balanced across 6 anchor classes and 3 strategy modes (Safe / Moderate / Aggressive)
Exports to Google Sheets so your team can execute without touching the app
What it's not:
Not an "AI-powered anchor generator" that invents commercial terms. Engine is deterministic — same input → same output. 165 automated tests on the pipeline.
Not an all-in-one SEO suite. Single-purpose on purpose.
Not for beginners. It assumes you know what a partial commercial anchor is and why the ratio matters.
The build:
Vibe-coded with Claude + Cursor. ~40 hours over 3 weeks. Zero lines written by hand. Currently in use by link building agencies and multi-site SEO consultants in private beta.
If you plan anchors (or your agency does), I'd love for you to break it. I'm in the comments all day.
Especially curious about:
How you currently handle anchor planning
Edge cases you think would break the engine
What you'd want shipped next
Upvote if it resonates — and tear it apart in the comments. That's where the real feedback lives.
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About AnchorPlanned on Product Hunt
“Turn GSC data into risk-scored SEO anchor plans in minutes”
AnchorPlanned was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #53 on the daily leaderboard. Anchor text planning is the spreadsheet ritual every link builder secretly hates. 3-5 hours per site, every month, guessing ratios and praying nothing breaks. AnchorPlanned kills that. Connect your GSC — in about 10 minutes you get a month-by-month anchor plan where every entry is risk-scored, and every page is classified by intent—all from your real search data, not third-party estimates. From $9/mo. Free trial — try it before you pay a cent.
AnchorPlanned was featured in Marketing (463.2k followers), SEO (37.6k followers) and Growth Hacks (4.3k followers) on Product Hunt. Together, these topics include over 79.6k products, making this a competitive space to launch in.
Who hunted AnchorPlanned?
AnchorPlanned was hunted by Vladyslav Vivdenko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AnchorPlanned stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vladyslav Vivdenko
Hey Product Hunt 👋
Founder here.
I've been doing SEO for 8+ years already, so link building has been a core part of my work for a really long time too. Planning anchor text across client sites eventually became second nature: which URLs get links, which anchors fit where, how to balance brand / exact / partial / generic against the profile you already have, and how to avoid over-optimization patterns.
After doing this at scale for enough sites, something became obvious: the decisions were systematizable. Experienced link builders aren't improvising — they're running a mental pipeline. Mine just happened to be running inside a spreadsheet.
So I rebuilt the pipeline in code.
AnchorPlanned is the result. What used to be 3–5 hours per site per month is now ~10 minutes.
What it does:
Connects to your Google Search Console — pulls real query data, no manual keyword input
Runs a 7-stage deterministic engine: maturity scoring → brand tokens → URL classification → placement allocation → anchor assignment → text generation → safety validation
Outputs a month-by-month plan with specific anchors, balanced across 6 anchor classes and 3 strategy modes (Safe / Moderate / Aggressive)
Exports to Google Sheets so your team can execute without touching the app
What it's not:
Not an "AI-powered anchor generator" that invents commercial terms. Engine is deterministic — same input → same output. 165 automated tests on the pipeline.
Not an all-in-one SEO suite. Single-purpose on purpose.
Not for beginners. It assumes you know what a partial commercial anchor is and why the ratio matters.
The build:
Vibe-coded with Claude + Cursor. ~40 hours over 3 weeks. Zero lines written by hand. Currently in use by link building agencies and multi-site SEO consultants in private beta.
If you plan anchors (or your agency does), I'd love for you to break it. I'm in the comments all day.
Especially curious about:
How you currently handle anchor planning
Edge cases you think would break the engine
What you'd want shipped next
Upvote if it resonates — and tear it apart in the comments. That's where the real feedback lives.