SEO and content

Spam and PBN link review with a draft disavow list

A keep / watch / disavow-candidate table of risky links, checked against organic traffic trends, plus a draft disavow file for manual upload.

When to use it

When you suspect spammy or PBN backlinks are hurting your site or your organic traffic has dropped and you want to know which links, if any, are worth disavowing.

What you get

A keep / watch / disavow-candidate table of risky referring domains checked against your traffic trend, plus a draft disavow file you upload yourself.

Does it change anything in my account?

No. The assistant only reads your data and reports back.

Works with

SEO Intelligence, Search Console

Fill in before sending

[my domain]

Review the backlinks of [my domain] for spam and link-network patterns. 1. Pull the individual backlink list and run a bulk spam score on all referring domains. 2. Check referring IPs and subnets. Flag any subnet hosting 3 or more of my referring domains. 3. Flag links that match any of these: spam score above 60, foreign-language sites unrelated to my service, sitewide footer or sidebar links, exact-match commercial anchors on low-quality sites. 4. Pull Search Console organic clicks by week for the last 6 months. Tell me whether any drop lines up with a spike in flagged domains. Deliver a table with columns: domain, spam score, subnet, flag reason, verdict (keep / watch / disavow candidate). Be conservative. Most low-quality links are simply ignored by Google, so mark a domain as a disavow candidate only when there is a clear pattern or a traffic drop that lines up with it. Then draft the disavow file text (domain: lines) for the candidates only. I will review it and upload it myself in Google's disavow tool.

Review the backlinks of [my domain] for spam and link-network patterns.

1. Pull the individual backlink list and run a bulk spam score on all referring domains.
2. Check referring IPs and subnets. Flag any subnet hosting 3 or more of my referring domains.
3. Flag links that match any of these: spam score above 60, foreign-language sites unrelated to my service, sitewide footer or sidebar links, exact-match commercial anchors on low-quality sites.
4. Pull Search Console organic clicks by week for the last 6 months. Tell me whether any drop lines up with a spike in flagged domains.

Deliver a table with columns: domain, spam score, subnet, flag reason, verdict (keep / watch / disavow candidate).

Be conservative. Most low-quality links are simply ignored by Google, so mark a domain as a disavow candidate only when there is a clear pattern or a traffic drop that lines up with it.

Then draft the disavow file text (domain: lines) for the candidates only. I will review it and upload it myself in Google's disavow tool.

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Build intent-based keyword clusters from a few seed keywords

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

Rank the clusters by volume and fit for a small business with a limited budget. Mark the top 3 to start with and explain why in one line each.

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Turn search terms that convert in ads into organic content clusters

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.

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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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Build a seasonal content and ad calendar from keyword demand

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.