SEO and content

Pass link equity from top-linked pages to service pages

Finds the pages that already earn backlinks, matches them to service pages stuck in positions 5 to 20, and proposes contextual internal links. Each edit is previewed and applied only after approval.

When to use it

When some pages on your site have strong backlinks while your service pages sit stuck on page two of Google and you want to pass that authority across.

What you get

A previewed list of contextual internal links (source page, target page, anchor, before/after sentence) that is applied to WordPress only after your approval and then verified.

Does it change anything in my account?

Only with your approval. The assistant first shows a preview of every change and waits for your go-ahead.

Works with

SEO Intelligence, Search Console, WordPress

Fill in before sending

[my domain]

Use the pages that already earn backlinks on [my domain] to push my service pages up. My service pages are: [list of service page URLs, or a URL pattern such as /services/]. Treat only these as targets. If I left this empty, propose a list based on URLs and page titles and wait for my confirmation before going on. 1. Check seo_history first. If a best-pages-by-links run for [my domain] is still reusable, use it so I do not pay twice. Otherwise pull my best pages by backlinks and keep the top 10 by referring domains. 2. From Search Console (use gsc_list_sites to pick the right property), pull page-level data for the last 90 days sorted by impressions. Keep the service pages with an average position between 5 and 20 and at least 200 impressions. These are the targets. 3. Find the WordPress post ID of every source and target page with wordpress_list_posts (search by slug or title). Show me the URL to ID mapping, and list any URL you could not match. 4. Read each top-linked source page in full with wordpress_get_post. Also run wordpress_page_design on it so we know whether it is built with Elementor, WPBakery, Gutenberg or the classic editor. For each source page, propose 1 or 2 contextual internal links to the most relevant target page. Show: source page, target page, anchor text (descriptive, not stuffed with keywords), and the exact sentence where the link goes, as before and after. Rules: - No more than 2 new links per source page. - Do not link from a page to a service it does not relate to. - Prefer existing sentences. Only add a new sentence if no natural spot exists. - Skip any source page that already links to that target, and say so. This is a preview. Do not update any page until I approve each edit. After approval: - On classic, Gutenberg or WPBakery pages, use wordpress_update_post with a find/replace on the exact sentence, never a full content overwrite. - On Elementor pages, use wordpress_edit_page_design on the right text element. - Then purge the page cache, re-read each edited page and run wordpress_search_content for each target URL to confirm the new link is in the stored content. Report every edit as confirmed or failed.

Use the pages that already earn backlinks on [my domain] to push my service pages up.

My service pages are: [list of service page URLs, or a URL pattern such as /services/]. Treat only these as targets. If I left this empty, propose a list based on URLs and page titles and wait for my confirmation before going on.

1. Check seo_history first. If a best-pages-by-links run for [my domain] is still reusable, use it so I do not pay twice. Otherwise pull my best pages by backlinks and keep the top 10 by referring domains.
2. From Search Console (use gsc_list_sites to pick the right property), pull page-level data for the last 90 days sorted by impressions. Keep the service pages with an average position between 5 and 20 and at least 200 impressions. These are the targets.
3. Find the WordPress post ID of every source and target page with wordpress_list_posts (search by slug or title). Show me the URL to ID mapping, and list any URL you could not match.
4. Read each top-linked source page in full with wordpress_get_post. Also run wordpress_page_design on it so we know whether it is built with Elementor, WPBakery, Gutenberg or the classic editor.

For each source page, propose 1 or 2 contextual internal links to the most relevant target page. Show: source page, target page, anchor text (descriptive, not stuffed with keywords), and the exact sentence where the link goes, as before and after.

Rules:
- No more than 2 new links per source page.
- Do not link from a page to a service it does not relate to.
- Prefer existing sentences. Only add a new sentence if no natural spot exists.
- Skip any source page that already links to that target, and say so.

This is a preview. Do not update any page until I approve each edit. After approval:
- On classic, Gutenberg or WPBakery pages, use wordpress_update_post with a find/replace on the exact sentence, never a full content overwrite.
- On Elementor pages, use wordpress_edit_page_design on the right text element.
- Then purge the page cache, re-read each edited page and run wordpress_search_content for each target URL to confirm the new link is in the stored content. Report every edit as confirmed or failed.

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A ranked list of keyword clusters with volume, difficulty and the right page type or ad group for each.

When to use itWhen you are starting keyword research for a business and only have a few seed keywords.

I sell [product or service] in [city or country]. Start from these seed keywords: [3 to 5 seed keywords].

First check seo_history so you reuse earlier results instead of paying for the same query twice. Then use Keyword Planner and SEO keyword research to collect ideas with average monthly searches, competition and keyword difficulty.

Clean the list:
- remove keywords under 30 monthly searches
- remove job, free, DIY, course and competitor-brand terms unless they clearly fit my business
- merge close variants and plurals

Cluster the rest by search intent, with one cluster per distinct need a searcher has. For each cluster give:
- cluster name and head keyword
- 5 to 10 supporting keywords
- combined monthly volume and average difficulty
- intent: informational, commercial or transactional
- best use: service page, blog post or a Google Ads ad group

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Uses 90 days of converting Google Ads and Microsoft Ads search terms to find topics where you pay for conversions but have weak or no organic visibility. Returns a prioritized content plan and a preview-only list of keyword additions.

When to use itWhen you pay for conversions on search terms but are unsure which topics deserve organic content so you can rely less on ads.

I want to use my ad data to decide what to write about. Use the last 90 days on every source.

1. Pull my Google Ads search terms for the last 90 days (days=90, or an explicit start and end date), sorted by conversions. Keep only terms with at least 1 conversion. If the response is truncated, page through until you have every converting term.
2. If Microsoft Ads is connected, find the default account and pull its search terms for the same 90 days. Keep only terms with at least 1 conversion and add them to the pool, marking which platform each term came from.
3. Group all converting terms into topic clusters by search intent. For each cluster show total cost, conversions and cost per conversion, split by platform where both are present.
4. Find my Search Console property (use [site property] if I named one) and pull organic data for the last 90 days with dimension query, plus a page,query pull so you can see which page ranks for each query. Use a high enough limit to cover the long tail.
5. Match each cluster to the Search Console queries that express the same intent. Use your judgement for close variants and wording differences, and say which queries you counted. Report organic clicks, impressions and average position per cluster, and the page that ranks best for it if there is one.

Classify each cluster:
- Content gap: converts in ads, organic average position worse than 10 or no organic impressions. I should build a page.
- Improve: converts in ads, organic position 4 to 10. Name the existing page that needs strengthening.
- Covered: organic position 1 to 3. Note it as a possible place to test lower ad spend later.

Deliver a table sorted by ad conversions, then the top 5 content-gap clusters with a suggested page title and URL slug for each.

Separately, list my Google Ads keywords (list_entities, entity keywords) and show converting Google search terms that are not yet keywords in the account. For Microsoft terms, just flag them; do not check or change Microsoft keywords. Do not add anything. If you think some Google terms should be added as exact match, tell me which ad group each one belongs in and run add_keywords with confirm=false so I see the exact preview. Wait for my approval before applying.

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Cluster the searches that find my Business Profile and fix my services

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When to use itWhen your Business Profile gets views but you suspect your services and categories do not match what people really search for on Google and Maps.

For my Business Profile location [location name], pull the search terms people used on Google Search and Maps to find the listing over the last 3 months.

Cluster the terms into:
- brand searches
- service searches, with one cluster per service
- "near me" and neighborhood or district searches
- problem-based searches, such as a symptom or an issue the customer has

For each cluster show total impressions and the top 5 terms.

Then read my listing details: primary and additional categories, and the services list. Compare them with the clusters and tell me:
- service clusters with real demand that are missing from my services list
- services I list that get almost no searches
- whether an additional category would match a strong cluster. Search the category names to confirm they exist.

Draft the new service entries, with a name and a description of up to 300 characters for each, written around the words people actually search.

Show me the exact changes as a preview first. Do not update the listing until I approve.

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A 12-month calendar showing when each keyword cluster peaks, when to publish content and when to raise or lower ad budgets.

When to use itWhen you want to time content and ad budgets around real seasonal demand instead of guessing when interest peaks.