Keyword and traffic data exports that don't break

The complaint is blunt and recurring: 'I can't export the group of keywords to CSV or Excel,' 'exporting the CSV can often be difficult,' 'sometimes when downloading Excel files there are unnecessary/unreadable symbols present.' This isn't a formatting preference — it's a functional failure. The exported file is either missing, truncated, or corrupted. Users who work downstream with the data in Excel or Google Sheets are completely blocked.

This gap persists because large SEO and AI writing tools are optimizing for data breadth — more keywords, more metrics, more integrations. The export pipeline is treated as a utility, not a product. When the dataset grows large enough that the export silently truncates or introduces encoding errors, that's a backend infrastructure problem that's low-glamour to fix. The users who suffer most are analysts and in-house SEO teams who need to manipulate raw data — they're not the loudest customer voice compared to the agency owner asking for a new feature.

The specific failure modes mentioned are encoding errors (unreadable symbols, likely UTF-8/Windows-1252 mismatches), silent data truncation ('not all the data can be downloaded but can be viewed from the dashboard'), and missing export options for specific modules like keyword groups. These are solvable, known engineering problems — the reason they persist is prioritization, not difficulty.

A tool that sits between the SEO platform and the analyst's spreadsheet, reliably pulling the full dataset via API or scrape and delivering a clean, properly encoded file, solves a problem that recurs every time someone needs to run analysis. In-house SEO teams at mid-size companies run this workflow weekly. The cost of broken exports is either wasted analyst time debugging corrupted files or decisions made on incomplete data — both are real and recurring.

What to build

Build a web app that authenticates with SEO tool accounts via OAuth or API key, fetches complete keyword and report datasets in the background without UI truncation limits, and delivers clean UTF-8 encoded CSV or Excel files with proper column headers — either on demand or on a schedule — to the user's email or a connected Google Sheet.

Where to start

Start with Ahrefs keyword export specifically — it's the most-complained-about export failure in the dataset, has a public API, and has a dense community of power users who share workflow tools — and make the Ahrefs-to-Google-Sheets pipeline the entire first product.

The hard part

SEO tool API rate limits and data access tiers mean that for large accounts, a full keyword export could take minutes or hit paywalls — the product needs to handle async jobs and communicate progress clearly, or users will assume it's broken and churn.

How it makes money

Usage-based pricing per export job or per row exported, with a monthly cap option for heavy users — free tier for up to 1,000 rows per month to drive adoption.