Map which source types each AI engine cites for buyers
Write ten buyer-intent questions, run each through ChatGPT, Claude, Perplexity and Gemini with web search on, and record the URLs each engine cites. Then group those URLs by source type to see which engines favour Reddit, review sites, listicles or your own pages, so content effort goes where citations already come from.
Why this matters
Run 10 buyer questions through four AI engines and log the sources each one cites.
Before you start
- Access to ChatGPT, Claude, Perplexity and Gemini with web search enabled
- A list of your brand name and two or three competitors
How to apply it
Write ten buyer questions
Draft ten questions a buyer would ask before choosing a product like yours, using the tweet's three phrasings: "what's the best [category] for [type of company]", "[your brand] vs [competitor]", and "is [your brand] worth it for a team of [size]".
Check: Ten questions are written down, each matching one of the three phrasings and naming your category, brand or a competitor.
Collect cited sources in ChatGPT
Run each question in ChatGPT with web search enabled. Open the Sources button under the answer, or the three-dot menu and View sources if the button is absent, and copy every cited URL.
Check: For each question the Sources panel lists at least one URL copied into your notes.
Repeat the run on Claude, Perplexity and Gemini
Ask the same ten questions in each remaining engine with web search on and copy the cited URLs, keeping them separated by engine.
Check: The log has a row for every question-engine pair (40 rows) with at least one cited URL.
Record the citations in a log General best practice
Store the results in one table with columns for engine, question, cited URL and source type so later classification and re-runs are comparable.
Check: The log opens with the header row engine, question, cited_url, source_type, run_date.
Classify citations by engine and source type
Paste all cited URLs into Claude with the instruction to sort by engine and then by type (own site, competitor site, review site, Reddit, listicle, news or blog), and to state which types each engine cites most.
Check: The output names each engine separately and lists its most-cited source types.
Pick the source types to invest in
Use the per-engine ranking to choose the one or two source types you will pursue for the engines that matter most, for example Reddit threads if Perplexity dominates that list or review-site presence if Gemini does.
Check: A written shortlist names the chosen source types and the engine each is meant to influence.
This happens outside your codebase
Work through the steps above on the named site or dashboard, then record the result in your agent session. There is no repository edit for this tip.
Source: @denohawari on 2026-10-18 · original post · report an error