Start with the decision facing an electronics shopper. The page needs to help answer: which device fits this use case, budget, compatibility requirement, and proof standard? Check whether that requirement is present on your site and consistent with the independent pages cited in the answers you test.
Keep the important product and policy details in visible text. Google’s guidance for AI features says established SEO requirements still apply; no special AI schema is required. This does not guarantee inclusion in any assistant’s answer.
What AI assistants need before they recommend you
The page has to answer the retrieval problem first: which device fits this use case, budget, compatibility requirement, and proof standard? If that answer is spread across ten thin pages, trapped in JavaScript, or hidden behind vague marketing language, inspect what the retrieval path actually exposes before commissioning more content.
- Product pages with clean specs, compatibility, warranty, availability, and use-case fit.
- Comparison pages that explain trade-offs rather than only listing specs.
- Buying guides by use case, budget, operating system, room type, or workflow.
- Review and test evidence that distinguishes first-party claims from third-party proof.
- Structured data for Product, Offer, Review where eligible, plus crawlable spec tables.
Prompts this page should be able to answer
These examples are generated hypotheses, not observed customer prompts or demand volumes. Check the actual questions with Google Search Console, Ahrefs or Semrush related keywords, and Aiso prompt data before you scale the cluster.
- best monitor for MacBook and photo editing under $500
- which noise cancelling headphones are best for calls?
- compare robot vacuums for pet hair and hardwood floors
- best portable projector for a small apartment
- which laptop should I buy for college engineering?
What usually gets missed
Check whether a visitor can understand the category, restrictions and evidence without already knowing the brand. The following gaps are audit candidates, not a measured failure rate for the industry.
- Spec tables rendered as images or hidden behind tabs.
- Compatibility details scattered across support PDFs.
- No direct comparison to the alternatives shoppers name.
- Availability and warranty information disconnected from product pages.
- Buying guides that rank products without explaining the decision rule.
The source pages to build first
Start with the existing page that answers the buyer decision. Add a separate page only when the requirement needs a genuinely different answer; do not create near-duplicates for every filter combination.
- Use-case buying guides by job-to-be-done: gaming, school, travel, work calls, creators, pets, small apartments.
- Comparison pages against named alternatives and older models.
- Compatibility pages for operating systems, accessories, apps, ports, and standards.
- Warranty, repair, return, and support pages written in plain language.
- Spec pages with crawlable tables and updated Product/Offer structured data.
A quick audit
Open your most important category or location page and ask five questions:
- Can an assistant say exactly what you are?
- Can it say where or when you are relevant?
- Can it compare you against alternatives?
- Can it cite a fact, number, review, or proof point?
- Can it verify the same claim somewhere besides your site?
If any answer is unclear, that is your first content brief.
Quick wins
- Make every key spec available as text, not an image.
- Add 'choose this if / skip it if' blocks to product and comparison pages.
- Create compatibility pages for the highest-friction buyer questions.
- Put warranty and support facts near the product decision, not only in a footer policy.
- Track AI prompts by use case plus constraint: budget, device, room, workflow, or compatibility.
How to measure it
Use a prompt set, not a screenshot. Prioritize questions your product can satisfy where competitors are named without you. Run the category prompts repeatedly across ChatGPT, Gemini, Claude, and Perplexity. Track whether your brand is mentioned, whether you are cited, which pages are used as sources, and which competitors appear beside you. Then inspect relevant gaps. A missing citation alone does not establish why a source was omitted.
Aiso is built for that workflow. It tracks the prompts buyers ask, measures visibility across AI engines, and shows which source pages or third-party mentions are missing. If you already have Google Search Console, Ahrefs, or Semrush exports, use them to seed the prompt list. Then let the AI-answer sampling tell you what actually gets recommended.
Measure the commercial result separately
Keep named recommendations, source citations and human referral sessions in separate columns. Bot fetches are not people or answer impressions. Record qualified enquiries and completed purchases separately, and do not call a before-and-after association incremental revenue without a credible comparison.
References
- Aiso / Search Engine Land: Bing rankings and ChatGPT visibility study.
- Princeton and IIT Delhi: Generative Engine Optimization research.
- Aiso guide: LLM ranking factors.