To map every keyword where AI skips your brand, run 15–25 buyer prompts in four AI assistants, log who gets named, then turn the top gaps into a sprint.
Short answer: keep the map small and repeat it. A focused list of 15–25 high-intent prompts, checked in ChatGPT, Gemini, Perplexity and Claude, gives you 60–100 answers – enough to see where competitors are named and you aren't. Sort those gaps by type and value, pick three to five, and close them in a two-week content sprint with a goal you can measure.
Why a repeatable process beats a one-time audit
AI answers aren't fixed. The same prompt can name different brands on different runs, and models are updated without notice. A huge audit of hundreds of keywords goes stale before you've acted on it. A small map you re-run every month shows you trends and keeps the team shipping.
What you need before you start
15–25 high-intent prompts. Product categories, key use cases, "[competitor] alternatives" and "best [category] for [use case]".
Access to the assistants. ChatGPT, Gemini, Perplexity and Claude. Free tiers work for a first pass.
A tracking sheet. A spreadsheet or a tracking tool. What matters is that you log the same fields every time.
Someone to write and publish. A sprint with no writer is just a report.
Step 1: Query the assistants and log the answers
Use the same prompt wording every time, so results can be compared month to month. Three templates cover most buyer intent:
"What are the best platforms for [keyword]?"
"Compare solutions for [use case]."
"How can I solve [problem] with [category] software?"
Run each in a fresh chat with memory turned off. Log these columns: date, keyword, assistant, prompt, brand mentioned (Y/N), competitors named, sources cited and notes. If you've never done this, the one-afternoon keyword-level audit walks through the setup.
Don't assume you know the result. Good search rankings don't guarantee a mention in AI answers, even for your own core category, so check every prompt rather than guessing.
Step 2: Sort the gaps and pick the sprint targets
Most gaps fall into one of three types:
Absence gaps. You're not mentioned at all while competitors are. Usually the highest priority.
Accuracy gaps. You're mentioned, but with old prices, missing features or negative points taken from outdated reviews. Often the fastest to fix, because the fix is on your own pages and profiles.
Competitive gaps. You're mentioned, but a competitor is consistently ranked first. Open the cited sources to see what they have that you don't – a comparison page, review coverage, a clearer pricing page.
Then score each gap for intent, competition and fit with your product. The AI recommendation gap scorecard gives you a 1–5 scale for each, so the sprint list comes from numbers rather than gut feel.
Step 3: Run a two-week content sprint
Set a goal you can measure
"Write five blog posts" measures output. "Get mentioned in ChatGPT and Perplexity answers for our top three commercial prompts" measures impact. Pick the second kind, and write down the baseline from Step 1.
Write briefs from the gap, not the keyword
Each brief names the exact prompt the page should answer and what the current answer is missing. For example: "This page must answer 'compare solutions for enterprise content workflows' better than the sources AI cites today. Those sources skip integrations and security compliance, which are our strengths, so lead with both." For why this works, see why your brand disappears when AI answers a question.
A simple sprint plan
Days | Work |
|---|---|
1–2 | Pick 3–5 gaps, read the cited sources, write one brief per gap |
3–8 | Draft the pages, then fact-check prices, features and dates |
9–10 | Review, publish, request indexing, update internal links to the new pages |
+2 to 4 weeks | Re-run the same prompts and compare against the baseline |
AI drafting can shorten days 3–8, but every page still needs a person who knows the product to check it. The one speed result we can stand behind is modest: a freelance marketer using blogawesome, Nathan, cut client articles from about 2 hours to 1.
Putting this into practice
Repeat, don't overbuild. A 20-prompt map re-run monthly beats a 200-keyword audit run once.
Prioritize by value. Fix the gaps closest to a buying decision first, not the easiest ones.
Measure the sprint by the prompts. Did the answers change? Not how many posts went out.
Expect noise. One run isn't proof either way. Look at the trend across checks.
If running the map by hand is what stops you repeating it, blogawesome checks ChatGPT, Gemini, Perplexity and Claude for your keywords, drafts the pages from your brand knowledge base and publishes after your review, from $49 a month. To see your starting point first, run the free AI visibility audit – no signup, about 30 seconds.