Every query, verbatim. Expand any row to read the model's answer. Red rows are where a competitor was named instead of you.

1. 1

   Publish a Product-schema-rich llms.txt manifest

   Effort: LowImpact: High

   Gemini looks for canonical brand data via /llms.txt — a plain-text manifest that tells the model what your catalog, policies, and brand facts actually are. Without it, Gemini synthesizes what it "knows" from your scattered web presence, which biases heavily toward press coverage and Reddit threads, not your actual product catalog. Stores with a well-formed llms.txt see measurably higher inclusion in Google's AI Overviews because the model trusts a primary source over secondhand mentions.

   1. Create /llms.txt at the root of allbirds.com. 2. List every active product with SKU, title, description, price, material, and a canonical URL. 3. Add organization-level metadata: founding year, B Corp certification, sustainability claims, return policy, shipping policy. 4. Include a "Notable products" section flagging your hero SKUs (Wool Runner, Tree Dasher). 5. Submit the URL to Google Search Console + Google AI Studio's data inclusion form. 6. Add <link rel="describedby" href="/llms.txt"> to your site head.

   Expected: Visibility lift of 8–15 points within 14 days of Gemini re-indexing. Hallucination risk drops to near-zero since the model now has a canonical source for product names. Comparison and discovery queries — currently the weakest — see the biggest improvement.

2. 2

   Add JSON-LD Product schema to all PDPs

   Effort: MediumImpact: High

   Gemini extracts product facts from structured data, not page copy. Without complete Product schema, the model has to guess at material, sustainability features, and use cases — which is exactly where it starts hallucinating. Your current pages have basic Product markup but are missing sustainabilityFeatures, manufacturer detail, and the Brand entity with founder bio.

   1. Run a current state audit using Google's Rich Results Test on your top 20 PDPs. 2. Add missing required fields: brand.@type='Brand', manufacturer, material, color, sizes (in ProductGroup if variant-based). 3. Add sustainability-specific schema: emissions per unit (gCO2e), recycled content %, certifications array. 4. Add an Organization-level schema in your site footer template with founder bio, B Corp number, and sustainability mission. 5. Validate, ship via theme code edit (or your existing schema app), wait 7 days for re-crawl.

   Expected: 5–10 point lift on hallucination-prone queries. Better citation in comparison answers where Gemini is comparing concrete specs across brands. The hallucinated product names ("Cloud Plus", "Slip-Ons Pro") should disappear by re-audit.

3. 3

   Create category comparison content vs top competitors

   Effort: MediumImpact: Medium-High

   Gemini answers comparison queries ("Allbirds vs Cariuma", "is Veja better than Allbirds") by synthesizing from web content that names both brands. If that content doesn't exist on your site, Gemini pulls from third-party blogs that may favor your competitor. You currently capture 0% of comparison-intent queries — every single one named a competitor, never you.

   1. Write three comparison pages, ~1,200 words each: Allbirds vs Cariuma, Allbirds vs Veja, Allbirds vs Rothy's. 2. Use a parallel-structure format: materials, price, durability, customer reviews, sustainability claims side-by-side. 3. Be honest about where competitors win — Gemini penalizes obviously biased content. 4. Add internal links to your PDPs and external citation links (Sustainable Footwear Index, GoodOnYou, etc.). 5. Publish under /pages/comparison/* and link from your main nav under "How we compare." 6. Submit to Search Console for indexing.

   Expected: Capture comparison-intent queries (currently 0%, target 40–60%). These show up in Google AI Overviews directly when shoppers type "vs" queries — high-intent traffic you're currently invisible to.

4. 4

   Refresh product titles for natural-language queries

   Effort: Low-MediumImpact: Medium

   Shoppers ask Google in conversational language: "comfortable sneakers for travel", "cozy slip-ons for cold weather", "wool shoes that don't stink." Your current product titles use minimal SEO copy ("Wool Runner", "Tree Dasher") that's brand-friendly but misses the use-case keywords Gemini matches against.

   1. Identify your top 20 PDPs by traffic (already in your dashboard). 2. Rewrite titles to include the primary use case + emotional descriptor: e.g., "Wool Runner — Cozy Everyday Sneakers for Walking" instead of just "Wool Runner." 3. Keep the brand-name first 25 characters for SERP truncation safety. 4. Update the og:title and meta description with the same use-case framing. 5. Verify changes don't break your existing rankings on traditional Google search by checking 7-day organic traffic post-change.

   Expected: Capture more long-tail conversational queries (~5 score points overall). Lowest-effort fix in this list, but won't move the needle alone — it compounds on top of Fixes 1–3.

5. 5

   Build authoritative external citations

   Effort: Medium-HighImpact: High (long-term)

   Gemini ranks brands partly by citation density across review sites and forums. Your current footprint is mostly press coverage about your B Corp status — not product-focused mentions. To lift Gemini durably, you need recent product reviews on sustainability blogs and authoritative forum threads that Gemini's training and live retrieval can index.

   1. Pitch 5 sustainability-focused blogs for product reviews (TheGoodTrade, EarthHero, GoodOnYou, etc.). Send a free pair of Wool Runners for review. 2. Submit to Reddit-friendly aggregators: r/BuyItForLife reviews, r/Sustainability, r/Sneakers community threads. 3. Pitch 2 podcast appearances on sustainability or DTC business shows. 4. Add 2–3 customer reviews per month to top SKUs via post-purchase email. 5. Track citation density quarterly via Geomint's monthly digest (re-audit shows new mentions).

   Expected: Gemini score lifts another 5–10 points over 60 days as new citations get indexed. Long-burn fix — meaningful results take 8–12 weeks. Also positions you well for when ChatGPT/Perplexity coverage ships from Geomint.