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Internal linking that knows Denver from Austin — without an SEO analyst doing it by hand

Denver pages should link to Denver service pages, Denver neighborhood guides, and Denver condition content — not to Austin. The recommendations should run continuously without an analyst rebuilding them every quarter.

The problem

You have an 80-location brand with 14,000 pages — location pages, service pages, neighborhood guides, blog posts, condition pages. Ahrefs Site Audit, Semrush Site Audit, and Moz Pro tell you that you have 6,200 orphans and 12,000 internal-link opportunities, but they will not tell you which links to add per location. Yoast SEO, RankMath, Link Whisper, and Internal Link Juicer suggest links inside WordPress but do not know that Denver pages should link to Denver and Austin pages to Austin. Screaming Frog, Sitebulb, DeepCrawl, JetOctopus, and OnCrawl crawl the site and report what is there but do not recommend what should be added per location. The in-house version takes a senior SEO analyst at $90,000 to $160,000 a year, plus one to two days per market per quarter on manual link recommendations. Spreadsheet audits fall apart past 500 URLs. In regulated verticals (HIPAA dental, FDA medical-device, California consumer-data) the anchor-text rules add another layer of nuance the generic tools do not gate cleanly.

What success looks like

Every location's pages continuously get internal-link recommendations that respect the actual geography. Denver location pages link to Denver service pages, Denver neighborhood guides, and Denver condition content. Austin pages link to Austin. Cross-location links happen only where they should. Multi-banner operators see recommendations across banners with each banner's content kept separate. Compliance rules apply to anchor text where they should (HIPAA, FDA, California consumer-data). Every recommendation is preserved with the source page, target page, anchor text, and reason, so an audit can ask why a particular link was suggested and get a clean answer.

How most operators solve this today

Five categories touch internal linking. None of them know your geographic layout.

  • Enterprise SEO platforms (Ahrefs Site Audit, Semrush Site Audit, Moz Pro, Conductor Searchlight, BrightEdge, seoClarity, Botify)

    $99 per month to $200,000+ per year

    Brand-wide opportunity reports. No per-location recommendations.

  • SEO plugins (Yoast SEO, RankMath, All in One SEO, SEOPress, Link Whisper, Internal Link Juicer)

    Free plus $49 to $1,500 per year

    WordPress-flavored. They do not know Denver should link to Denver and Austin should link to Austin.

  • Technical SEO crawlers (Screaming Frog, Sitebulb, DeepCrawl, JetOctopus, OnCrawl)

    $35 per month to $200,000+ per year

    Strong crawlers and audit reports. Not recommendation engines.

  • In-house SEO analysts

    $90,000 to $160,000 per year per analyst, plus a day or two per market per quarter

    Manual link recommendations. Does not scale past five to ten markets.

  • Build it in-house

    Excel and sitemap exports

    Falls apart past 500 URLs.

What changes when this is an agent skill

Every location's pages get continuous internal-link recommendations that respect the geography. Denver pages link to Denver service pages, Denver neighborhood guides, and Denver condition content. Austin pages link to Austin. Cross-location links happen only where they should — for example, when a brand-wide guide is genuinely the right target for every location, or when a state-level page is the right hub for several units. The recommendations sit alongside the canonical-tag setup and the rest of the link-graph work, so what you ship is consistent. Multi-banner operators see recommendations across banners with each banner's content isolated. Anchor-text compliance rules apply where they should: HIPAA dental, FDA medical-device, and California consumer-data internal-link tracking each have their own treatment. Every recommendation is preserved with the source page, target page, anchor text, and the reason it was suggested, so when an audit or a vendor review asks why a particular link exists, the answer is on file. Ahrefs, Semrush, and Screaming Frog remain useful for general internal-link audits. Link Whisper remains useful for WordPress sites with simple link needs. This is the per-location recommendation layer multi-location operators have been missing.

Agents that include this skill

Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.

FAQ

How does it know Denver pages should link to Denver pages?
From your location data and your URL structure. Each page is tied to a location or to a brand-wide hub, so the recommendation engine has the geography to work with from the start.
How is this different from Ahrefs Site Audit or Semrush Site Audit?
Those report what is there. They tell you a page is orphan or that there are link opportunities, but they do not tell you which 80 location-aware links to add.
How is this different from Link Whisper or Internal Link Juicer?
Those are WordPress plugins. They suggest links based on keyword matches without knowing your location structure.
What about Screaming Frog or Sitebulb?
Excellent crawlers. They audit. They do not recommend per-location.
What about cross-location links?
They happen where they should — a brand-wide guide that is genuinely the right target for every location, or a state-level hub that is the right parent for several units. Otherwise, links stay inside the location.
How does it handle HIPAA, FDA, or California consumer-data rules?
Anchor-text compliance rules apply per regulation. HIPAA dental, FDA medical-device, and California consumer-data internal-link tracking each have their own treatment.
Does it work for multi-banner operators?
Yes. Each banner's content stays isolated. Cross-banner recommendations only happen where you have set them up intentionally.
What does the audit trail look like?
Every recommendation is preserved with the source page, the target page, the anchor text, the reason, and whether the recommendation was accepted or rejected. Searchable.

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