A 12-Week Content Plan to Earn Brand Mentions in AI Answers

Start from prompts, not keywords

Keyword research tells you what people type into a search box. Buyers talk to ChatGPT, Perplexity and Gemini in full sentences with context: 'I run a 40-person logistics firm, which ERP integrates with our accounting tool?' A content plan that aims to earn brand mentions in AI answers needs a list of these prompts, grouped by intent, before a single brief is written.

Collect prompts from sales call notes, support tickets, onboarding questions and the questions prospects ask in demos. Then add the standard AI patterns: 'best X for Y', 'X vs Y', 'is X legit', 'alternatives to X' and 'how much does X cost'. For most B2B brands, 60 to 120 prompts cover the buying journey well. This prompt map becomes the backbone of the plan and, later, the panel you track.

Read the current answers before you write anything

Run each prompt on the engines your buyers use and record two things: which brands are named and which pages are cited. This step changes plans more than any other. You may find that answers for 'best CRM for property managers' lean on two review sites and one trade association list, which means your next piece of content is a placement on those sources, not another blog post.

Sort each prompt into one of three buckets. Owned gap: engines cite vendor pages, and yours is missing or weak. Third-party gap: engines cite reviews, media or directories that do not include you. Accuracy gap: you are mentioned, but with outdated or wrong facts. Each bucket gets a different type of content, which is what the formats below are for.

Fix accuracy gaps first. They are usually the cheapest to close, often a single page update or a corrected directory listing, and they protect deals already in motion. Then rank owned and third-party gaps by commercial intent: a missing mention on a 'Vendor A vs Vendor B' prompt costs more than one on a general explainer. Keep the ranked list in the same sheet as the prompt map so every brief in the calendar traces back to a specific prompt, a specific gap and the source an engine currently prefers. That traceability is what lets you prove later which pieces of content actually moved coverage.

Formats that engines reuse, by funnel stage

Engines quote content that answers a question in a self-contained block and backs it with specifics. Some formats do this naturally:

• Direct-answer guides for early questions: the answer in the first two sentences, then the reasoning.
• Comparison pages for consideration prompts: honest tables against named alternatives, including where a competitor is the better fit.
• Fact pages for decision prompts: pricing, limits, licences, integrations and service areas, each with a visible update date.
• FAQ blocks written in buyer phrasing, with answers of 40 to 80 words.
• Original data such as an annual survey or benchmark, which gives other sites a reason to cite you.

Format matters as much as topic. A pricing table rendered by JavaScript, or hidden behind a form, is invisible to many crawlers. Put the facts in plain HTML with structured data that matches the visible text.

Worked example: a 12-week plan for a forex broker

Consider a broker that wants to be named for 'best forex broker for beginners in Saudi Arabia' and 'which brokers offer Islamic accounts'. Weeks one and two produce the prompt map and baseline. Weeks three to five publish fact pages: account types, Islamic account terms, licence status with the holding entity, and fees in a static table. Weeks six to eight add a beginner's guide that answers the question directly and a comparison page against two well-known alternatives, written fairly.

Weeks nine to eleven move off-site: corrected listings on comparison sites, a contributed explainer to a regional finance publication, and an FAQ refresh based on what support heard that quarter. Week twelve is the review: which prompts gained coverage, which sources engines now cite, and what the next cycle should target. The compliance team signs off each page, since a mention that misstates a regulated fact is a liability.

How to know the plan is working

Judge the plan on the prompts it targeted. For each cycle, compare brand coverage (share of tracked runs that name you), citation share for the pages you published, and share of voice against the competitors named in those answers. Because answers vary from run to run, use repeated runs and trend lines, not single checks.

Then look downstream. AI referral sessions arrive tagged utm_source=chatgpt.com or with referrers like perplexity.ai; track their conversions separately. Add a 'how did you hear about us' field with an AI assistant option, because much AI influence never produces a click. A plan that lifts coverage but not pipeline is pointing at the wrong prompts.

Where Suggesting.ai fits in the plan

Suggesting.ai builds and runs this plan with your team. The free 48-hour audit delivers the prompt map, the baseline and the list of sources each engine cites, so the first cycle targets real gaps. Our organic GEO work covers the briefs, page structure, structured data and the digital PR that earns third-party placements.

Where your category is eligible, ChatGPT Ads can cover priority prompts while organic content matures; for forex brokers and other financial services outside the US, OpenAI's ad policy generally prohibits these ads, and we confirm eligibility during the audit. If ChatGPT is suggesting a shortlist to your buyer, the content plan is how you earn a place on it.