be on brand. be found.
code audit detects what's wrong. brand and reachraises the floor — nine tools that lift your project from “the AI made this” to “this looks and reads and ranks like a real product.” shipping post-Audit-Suite (Q3 2026+). this is the centre of gravity long-term — the place where Fizzgig moves from “your AI coded it, fizzgig checked it” to “your AI coded it, fizzgig fixed it.”
your AI shipped the page, then SEO audit told you what was wrong. fixing it by hand means re-prompting + re-checking, ten times.
a tool that takes the audit findings AND your content + writes the specific fix into the page — not "what to do", the actual rewritten title, the actual schema block, the actual internal-link insertion.
AI search engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews) cite a small set of pages for any given query. yours isn't in the set.
optimisation for generative engines specifically — citation-shaped formatting, FAQ schema patterns, entity definitions, the structural moves that show up in AI citation studies. detects what each engine actually rewards.
your design tokens are defined, but the AI uses arbitrary hex codes anyway. drift accumulates. one component breaks the palette every fifth commit.
reads your declared tokens, finds the drift, rewrites the component to use the token. token-aware lint that ships fixes, not warnings.
the AI writes prose that scans as AI — long sentences, every paragraph the same shape, hedge clichés stacked, em-dash density off the charts.
sentence-by-sentence rewrites that match a target voice (your existing copy, or a sourdough starter). preserves meaning, fixes rhythm. Flesch + sentence-variance + concrete-noun checks built in.
the landing page looks fine. the conversion funnel says otherwise. CTA buried, form has 8 fields where 3 would do, the social proof is below the fold.
CTA placement + copy diagnostics, form-friction audit (every required field is a tax), trust-signal positioning. names the specific change to ship next.
PSI tells you "improve LCP". it doesn't tell you that the 280kb hero image is the culprit, or that one third-party script is blocking render.
bundle-size + Core Web Vitals audit that points at the specific file, the specific dependency, the specific third-party script. with the patch.
empty states say "no results". error messages say "something went wrong". onboarding tooltips are placeholder lorem. these are the strings that decide whether the user trusts the product.
detects placeholder microcopy, suggests on-brand replacements that match your voice. the strings that matter, fixed at the source.
a11y_audit told you the alt text is missing. now you have to write 80 alt texts by hand, half of which the AI will generate as "image of a thing".
context-aware alt text generation (reads the surrounding content, the page intent, the image filename), label inference for form fields, ARIA fixes that actually validate. lifts the audit floor automatically.
PNGs shipped where WebP would do, every image full-resolution, no lazy-loading, dimensions missing so the layout jumps.
format conversion with quality preservation, lazy-load + intersection-observer wiring, dimensions inferred + injected, srcset for responsive serving. one command, every image fixed.