This 90-day AI visibility content calendar turns recommendation gaps into a schedule: baseline in month 1, competitor gaps in month 2, review in month 3.
Short answer: track 15–25 buyer prompts across ChatGPT, Gemini, Perplexity and Claude, log every gap in one sheet, and give each gap a page, an owner and a publish date. Re-check each prompt two to four weeks after its page goes live. A small team can realistically ship 6–12 targeted pages in a quarter this way. The template columns and a filled-in row are below.
How does the 90-day framework work?
Month 1: Baseline and quick fixes. Run your prompt list in each assistant and record who is named. Fix accuracy gaps first – old prices, retired features, wrong category descriptions on your own site and profiles – because they're quick. Then publish the two or three pages your audit shows are missing entirely, such as a pricing page or a "[competitor] alternatives" page. Output: a baseline sheet and 2–4 pages live.
Month 2: Competitor gaps. For prompts where a competitor is named and you aren't, open the sources the answer cites and see what they cover that you don't. Here's how to run that analysis step by step. Schedule one page per high-value gap. Output: 3–5 pages live.
Month 3: Review and repeat. Re-check every prompt you worked on in months 1 and 2. Note which page types moved answers and which didn't, update the weak pages, and build next quarter's list from what you learned. Output: a before and after comparison and next quarter's calendar.
The AI visibility calendar template
Build this in a spreadsheet, one row per gap:
Column | What goes in it |
|---|---|
Prompt / keyword cluster | The buyer question, e.g. "best AI SEO tools for agencies" |
Engines checked | ChatGPT, Gemini, Perplexity, Claude (plus Google AI Mode if Google matters to you) |
Baseline | "Not mentioned", "mentioned 1 of 4 engines" or your position in the list, with the date |
Who is named and why | Competitors named and the sources cited for them |
Gap type | Absence, accuracy or competitive |
Page and angle | The page that will answer the prompt, e.g. "Comparison: us vs Competitor X for agencies, with prices" |
Owner and publish date | A named person and a date, not "Q2" |
Status | Planned, writing, in review, published |
Re-check result | The same prompt re-run 2–4 weeks after publishing, with the date |
To decide which rows make the calendar, score each gap with the AI recommendation gap scorecard. If you're starting from zero, the AI recommendation gap template covers the audit sheet that feeds this calendar.
A filled-in row (illustrative)
Here's one row for a made-up reputation-management software brand, to show the level of detail that works:
Prompt: "best AI tools for brand reputation monitoring"
Baseline (week 1): Not mentioned in ChatGPT, Gemini or Claude. Perplexity names Competitor X and cites a review roundup and Competitor X's own guide.
Gap type: Absence
Page and angle: A guide to AI reputation monitoring that covers the alert types and sentiment features the cited sources focus on, with our pricing and an honest comparison table
Owner and date: Content lead, week 3 of month 1
Re-check: Week 7, same prompt, same engines
The alternative many teams fall into is writing three quick feature posts in response to a competitor mention and hoping. Without reading the cited sources, those posts rarely answer the question the assistant was asked.
How should you adapt the calendar to your team?
Small teams: Track one or two keyword clusters, but still check all four assistants, since results differ between them. Plan 6–8 pages for the quarter and put most of month 1 into fixes and missing basics.
Agencies: Run one calendar per client. Keep each client's prompts, competitors and voice separate. blogawesome gives each brand its own workspace (5 brands on Starter, 15 on Standard).
Larger teams: Run parallel calendars per product line or market, with one owner per calendar and shared prompt wording so results stay comparable.
What to measure at the end of the quarter
How many tracked prompts now mention you, per engine, against the month-1 baseline.
Which page types (comparisons, pricing, how-tos) moved answers, and which didn't.
Accuracy: whether what AI says about your prices and features is now correct.
Keep the dates on every check. AI answers vary from run to run, so a trend across several checks means more than one result.
Doing the checks, drafts and publishing by hand is the bottleneck for most teams. blogawesome tracks ChatGPT, Gemini, Perplexity and Claude for your keywords, drafts pages from your brand knowledge base and publishes them on a content calendar, or holds them for review, from $49 a month. To fill in the baseline column today, run the free AI visibility audit: no signup, about 30 seconds.