AI citation checker for food blogs
Recipes are among the most-cited content in AI answers — people ask “how long do I bake chicken thighs?” and the AI quotes a recipe directly. This audit checks your food post the way AI sees it, including three food-specific checks.
Free & unlimited · No signup · Includes the 24 core checks plus food checks
What AI looks for in a food blog post
Recipe schema. Recipe JSON-LD tells AI the ingredients, times, servings and steps in a format it can quote without guessing. Without it, your recipe is just paragraphs.
Proof you cooked it. “I made this three times” with a prep time, cook time and servings is a first-hand signal. AI cites tested recipes over copied ones — a rewritten recipe with no testing history is commodity.
Ingredients with amounts. A real ingredient list (200g flour, 3 eggs) is a list AI can lift verbatim into an answer. “Some flour and eggs” cannot be quoted.
Original photos. Your own photos with descriptive alt text (“golden-brown chocolate cake, sliced”) are another first-hand signal — stock photos are not.
Food checks in this audit
Recipe schema present Recipe actually tested Ingredient list present
These run on top of the 24 core checks: AI crawler access, question headings with direct answers, FAQ/Article schema, author and dates, depth, and first-hand experience.
Food blog FAQ
Do I really need Recipe schema?
Yes — it is the single biggest food-specific win. AI answers pull ingredients, times and servings from structured data first, and from prose only as a fallback.
What counts as “tested”?
Cooking the dish yourself and writing what happened: times, temperatures, what worked, what failed. “I made this three times — 25 minutes at 180°C gives a crisp top” is tested. “This cake is delicious” is not.
Can AI cite a recipe without photos?
Yes, but original photos with alt text add a first-hand signal that copied recipes lack — and they make the post look like a real kitchen, not a rewrite.