Brand sentiment analysis for indexed web mentions

Provide a brand or topic keyword to get DataForSEO’s grouped sentiment counts for indexed web mentions. Available results include positive, negative and neutral citation counts, emotion groups and limited source context.

Your AI

Use with your AI

For tasks with several steps, continue in the AI you already use.

CodexClaude CodeCursorWindsurfCline

View instructions

Use Toolmu’s content-analysis-sentiment-analysis-dataforseo for the user’s brand or topic sentiment summary. Reuse the existing Toolmu connection; if setup is needed, follow https://toolmu.com/SKILL.md. Ask only for a missing target keyword, check current availability and price, and stay within existing authorization and budget. Supply the required request object with keyword and integer internal_list_limit=1; do not add date, filter, channel, language, location or text-upload controls. Toolmu accepts 1–256 characters for keyword; use 3–256 for supplier compatibility. The supplier lowercases it; preserve literal double quotes when the user requests an exact multiword phrase. Present the available polarity and emotion groups with their reported citation counts and limited context. The fixed limit applies to top_domains, text_categories, page_categories, countries and languages, not the number of sentiment groups or citations. Explain that share is a supplier emotion label, not social-share activity. Retain zero, null, missing and empty values distinctly. Do not add group totals, derive percentages or equate citations with unique people. Do not infer brand identity, current coverage or a reporting period that the result does not establish.

Task:
Check how webpages describe [logitech]. Show available counts for positive, negative, neutral and other tone labels. Explain these are automatic labels for page text, not customer opinions or percentages. Say when information is missing.

Paste into your connected AI's conversation.

Connection guide

Up to 0.11 credits / call

The final charge is based on confirmed usage. Unused reserved credits return to your available balance.

DataForSEO

Brand sentiment analysis for indexed web mentions

You receive

Get a sentiment summary for the keyword you supply. When available, it groups indexed web citations by positive, negative or neutral tone and by classified emotions. Each group can include citation counts and short breakdowns of sources, content categories or languages. Your Agent can arrange the reported groups in a table for you to inspect.

Start with your task

Check how webpages describe [logitech]. Show available counts for positive, negative, neutral and other tone labels. Explain these are automatic labels for page text, not customer opinions or percentages. Say when information is missing.

What to know

These are automated classifications of indexed citations, not verified opinions from unique customers or people. Groups can overlap, so their counts should not be added together or turned into population percentages. This Tool does not accept pasted text, choose a date window or provide ongoing mention alerts.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Sentiment summary request`request`	`object`	Required	Required object containing both keyword and internal_list_limit. Queries the supplier’s indexed citations, with no text-upload, date-window or channel controls. Required fields `keyword, internal_list_limit`
Brand name or topic keyword`request.keyword`	`string`	Required	Required nonempty UTF-8 string, 1–256 characters in Toolmu. Use at least 3 characters for supplier compatibility. The supplier lowercases it. Use literal double quotes for an exact multiword phrase; a keyword match does not verify the brand’s identity. Minimum length `1` Maximum length `256`
Maximum entries in each inner breakdown`request.internal_list_limit`	`integer`	Required	Required integer fixed to 1. Allows at most one entry in each source-domain, text-category, page-category, country and language breakdown. It does not cap the sentiment groups, citation counts or summary totals at one. Fixed value `1`

View raw JSON

{
  "type": "object",
  "required": [
    "request"
  ],
  "properties": {
    "request": {
      "type": "object",
      "required": [
        "keyword",
        "internal_list_limit"
      ],
      "properties": {
        "keyword": {
          "type": "string",
          "maxLength": 256,
          "minLength": 1
        },
        "internal_list_limit": {
          "type": "integer",
          "const": 1
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

Result schema

Output fields have not been documented yet.

Additional notes

See the DataForSEO Sentiment Analysis reference for the supplier’s category labels and grouped-count definitions.

Questions about this tool.

Inputs, results and details to know before running it.

Get connected

No. It searches indexed citations containing the supplied keyword, not a verified company or customer population. Same-named brands or unrelated uses may mix. For an exact multiword phrase, include literal double quotes in the keyword. This Tool cannot classify a document or feedback text that you paste.

Brand sentiment analysis for indexed web mentions

Brand sentiment analysis for indexed web mentions

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Enter a brand or topic

Understand the tone labels

Understand the counts

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Enter a brand or topic

Understand the tone labels

Understand the counts

Questions about this tool.

Does a brand name identify one company’s customers?

How do polarity and emotion groups differ?

Can I add the groups or calculate a positive-customer percentage?

Why is the source context so short?

What period does the summary cover, and will it keep monitoring?