SEO and content

Measure my share of voice in AI answers against my competitors

A share-of-voice table showing how often you and your competitors are mentioned or cited in AI answers to the questions your customers actually ask.

When to use it

When you want to know how often AI assistants mention your business compared with your competitors.

What you get

A share-of-voice table across 10 customer questions showing who is mentioned and cited, plus your 3 weakest questions and the page types competitors win with.

Does it change anything in my account?

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

Works with

SEO Intelligence

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[my domain][service][city or region][3 competitor domains][city]

I want to know how visible my business is in AI answers compared with my competitors. My business is [my domain], and I offer [service] in [city or region]. My competitors are [3 competitor domains]. 1. Draft 10 questions a real customer would ask an AI assistant before buying. Cover four types: - "best [service] in [city]" - cost - comparison - how-to Show me the list and wait for my approval before running anything, because these checks use add-on credits. 2. Before running, check which of these queries were already run recently. Reuse any stored results instead of paying again. 3. After I approve the list, run the share-of-voice and citation checks for my domain and the three competitors. Deliver: - A table with these columns: question, which brands are mentioned, which domains are cited, my position in the answer (or "absent"). - A summary row with each domain's share of voice in %. - My 3 weakest questions, meaning the ones where competitors are cited and I am absent. For each, name the specific page type that gets cited, such as a pricing page, a guide or a directory listing. Do not make any changes.

I want to know how visible my business is in AI answers compared with my competitors.

My business is [my domain], and I offer [service] in [city or region]. My competitors are [3 competitor domains].

1. Draft 10 questions a real customer would ask an AI assistant before buying. Cover four types:
   - "best [service] in [city]"
   - cost
   - comparison
   - how-to

Show me the list and wait for my approval before running anything, because these checks use add-on credits.

2. Before running, check which of these queries were already run recently. Reuse any stored results instead of paying again.

3. After I approve the list, run the share-of-voice and citation checks for my domain and the three competitors.

Deliver:
- A table with these columns: question, which brands are mentioned, which domains are cited, my position in the answer (or "absent").
- A summary row with each domain's share of voice in %.
- My 3 weakest questions, meaning the ones where competitors are cited and I am absent. For each, name the specific page type that gets cited, such as a pricing page, a guide or a directory listing.

Do not make any changes.

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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

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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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.