90466908a8
<!-- Clearly explain the need for these changes: -->
we met some reality when merging into the docs site but this fixes it
### Changes 🏗️
updates paths, adds some guides
<!-- Concisely describe all of the changes made in this pull request:
-->
update to match reality
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] deploy it and validate
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Aligns block integrations documentation with GitBook.
>
> - Changes generator default output to
`docs/integrations/block-integrations` and writes overview `README.md`
and `SUMMARY.md` at `docs/integrations/`
> - Adds GitBook frontmatter and hint syntax to overview; prefixes block
links with `block-integrations/`
> - Introduces `generate_summary_md` to build GitBook navigation
(including optional `guides/`)
> - Preserves per-block manual sections and adds optional `extras` +
file-level `additional_content`
> - Updates sync checker to validate parent `README.md` and `SUMMARY.md`
> - Rewrites `docs/integrations/README.md` with GitBook frontmatter and
updated links; adds `docs/integrations/SUMMARY.md`
> - Adds new guides: `guides/llm-providers.md`,
`guides/voice-providers.md`
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
fdb7ff8111. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: bobby.gaffin <bobby.gaffin@agpt.co>
3.8 KiB
Dataforseo Related Keywords
Blocks for finding semantically related keywords using the DataForSEO Labs API.
Data For Seo Related Keywords
What it is
Get related keywords from DataForSEO Labs Google API
How it works
This block uses the DataForSEO Labs Google Related Keywords API to find semantically related keywords based on a seed keyword. It returns keywords that share similar search intent or topic relevance.
The depth parameter controls the breadth of the search, with higher values returning exponentially more related keywords. Results include search metrics, competition data, and optional SERP/clickstream information.
Inputs
| Input | Description | Type | Required |
|---|---|---|---|
| keyword | Seed keyword to find related keywords for | str | Yes |
| location_code | Location code for targeting (e.g., 2840 for USA) | int | No |
| language_code | Language code (e.g., 'en' for English) | str | No |
| include_seed_keyword | Include the seed keyword in results | bool | No |
| include_serp_info | Include SERP information | bool | No |
| include_clickstream_data | Include clickstream metrics | bool | No |
| limit | Maximum number of results (up to 3000) | int | No |
| depth | Keyword search depth (0-4). Controls the number of returned keywords: 0=1 keyword, 1=~8 keywords, 2=~72 keywords, 3=~584 keywords, 4=~4680 keywords | int | No |
Outputs
| Output | Description | Type |
|---|---|---|
| error | Error message if the operation failed | str |
| related_keywords | List of related keywords with metrics | List[RelatedKeyword] |
| related_keyword | A related keyword with metrics | RelatedKeyword |
| total_count | Total number of related keywords returned | int |
| seed_keyword | The seed keyword used for the query | str |
Possible use case
Topic Clustering: Group related keywords to build comprehensive content clusters around a topic.
Semantic SEO: Discover LSI (latent semantic indexing) keywords to improve content relevance.
Keyword Expansion: Expand targeting beyond exact match to capture related search traffic.
Related Keyword Extractor
What it is
Extract individual fields from a RelatedKeyword object
How it works
This block extracts individual fields from a RelatedKeyword object returned by the Related Keywords block. It separates the compound object into distinct outputs for workflow integration.
Outputs include the keyword text, search volume, competition score, CPC, keyword difficulty, and any SERP or clickstream data that was requested in the original search.
Inputs
| Input | Description | Type | Required |
|---|---|---|---|
| related_keyword | The related keyword object to extract fields from | RelatedKeyword | Yes |
Outputs
| Output | Description | Type |
|---|---|---|
| error | Error message if the operation failed | str |
| keyword | The related keyword | str |
| search_volume | Monthly search volume | int |
| competition | Competition level (0-1) | float |
| cpc | Cost per click in USD | float |
| keyword_difficulty | Keyword difficulty score | int |
| serp_info | SERP data for the keyword | Dict[str, Any] |
| clickstream_data | Clickstream data metrics | Dict[str, Any] |
Possible use case
Keyword Prioritization: Extract metrics to rank related keywords by opportunity score.
Content Optimization: Access keyword difficulty and search volume for content planning decisions.
Competitive Analysis: Pull competition and CPC data to assess keyword viability.