SEOMemory: Context-Aware GSC/GA4 Diagnostic Assistant with Historical Memory

AI agent for Google Search Console?

The problem is real, and the part that will make or break it is the diagnosis step, not the drafting. The obvious reading of GSC data is usually wrong in a specific way. Two failure modes we hit repeatedly running this on our own properties: **Low CTR is usually a position problem wearing a title problem's clothes.** A page sitting at average position 38 with 0.03% CTR does not have a snippet gap. Deep-position impressions do not click whatever the title says. If your agent sees "low CTR" and recommends a title rewrite, it will be confidently wrong across most of a large corpus, and the user burns a week rewriting meta tags and measures nothing. The rewrite-eligible set is roughly pages already at position 20 or better. Everything below that is a ranking question, not a copy question, and needs a different recommendation entirely. **"Not ranking" and "never fetched" look identical in a dashboard and need opposite fixes.** The number we found most actionable is the share of known URLs Google actually served in the window. If a site has 15,000 pages and a fraction of a percent got served, no amount of content rewriting matters, because the corpus was never in the running, and publishing more there actively makes it worse. That distinction is invisible if you only look at clicks, impressions and position. The third thing I would build early is per-site memory of which levers have already been tried and refuted. Without it every run re-recommends the same dead lever, because the threshold that triggered it is still true. A tool that says "you tried this in March and it moved nothing" is worth more than one that generates another fix list. For what it's worth I work on nexusbro.com, which does the audit side of this for non-technical founders, so treat me as biased. Happy to compare notes on the diagnosis logic either way. That part is genuinely hard and I don't think anyone has it solved.