The Strategy Behind Getting Your Brand Recommended by ChatGPT

Strategy vs tactics: what's actually different

Before diving into pillars, it is worth being blunt about the failure mode this section is meant to prevent: teams that treat GEO as a content-volume game, publishing broadly and hoping something sticks, consistently underperform teams that pick a short list of prompts and defend them relentlessly. A tactic is publishing an FAQ page. A strategy is deciding which five to ten comparison questions define whether your category's buyers pick you or a competitor, and building a coordinated plan — content, technical access, paid — to own the answer to each one. Most brands that feel like GEO "isn't working" have executed tactics without a strategy: scattered content with no prioritization of which prompts actually move revenue.

This gap shows up most clearly when a marketing team reports “we published twenty GEO pages this quarter” as if volume were the point. Twenty pages against the wrong prompts move nothing; three pages against the right ones can shift a category. The strategy is the sorting mechanism that decides which three matter before anyone starts writing.

The three pillars of the strategy

First, own the comparison — identify the handful of prompts where your buyer is actively choosing between you and named competitors, and make sure your page states the comparison directly rather than hoping the AI infers it favorably. This is the pillar most brands underinvest in, since directly naming a competitor on your own site can feel uncomfortable, even though it is exactly the specificity that makes a page more citable. Second, build a verifiable fact base: licenses, certifications, pricing, coverage areas stated plainly and kept current, because AI models re-cite sources that have proven reliable over time and drop ones that go stale or get contradicted elsewhere. This pillar is the slowest to build and the hardest to fake, which is also why it is the most durable competitive advantage once established. Third, use paid placement strategically on prompts where the organic fight is still open, rather than spreading ad spend evenly.

• Prioritize prompts by revenue impact, not volume
• Keep the fact base current — stale facts get dropped from citation pools
• Target ChatGPT Ads at contested prompts, not already-won ones

How to evaluate whether a strategy is sound

A sound strategy names its priority prompts explicitly and can show you a rationale for each — usually tied to deal volume or average contract value, not just search interest. If a proposed strategy is a generic content calendar with no prompt prioritization behind it, it's a content plan wearing a strategy's name.

The rationale matters because resources are always finite — a strategy that can't explain why prompt A outranks prompt B in priority hasn't actually made a decision, it's deferred the decision to whoever writes content fastest that quarter.

A good test is to ask the strategy's author to name the top three prompts and explain, specifically, why each one was chosen over alternatives. An answer grounded in deal data or client interviews signals a real strategy; an answer that defaults to popular search terms signals a keyword list dressed up as one.

The real estate example

A commercial real estate brokerage competes for prompts like "which brokerage handles logistics warehouse leasing in [region]" and "best developer for mixed-use projects near [transit hub]." These are exactly the specific, comparison-driven prompts buyers now put to AI before calling anyone. A strategy here means building region- and asset-class-specific pages stating track record and coverage directly, rather than one general "about us" page trying to cover every prompt at once.

Commercial real estate also illustrates why paid and organic need to be sequenced deliberately: a brokerage bidding on ChatGPT Ads for a region it has no real track record in will convert poorly even if the ad performs, because the underlying credibility claim doesn't hold up once a prospect asks a follow-up question. Paid spend works best reinforcing a genuine strength, not covering for the absence of one.

What Suggesting.ai builds for you

We start with the free 48-hour audit to identify which prompts you're already winning, losing, or absent from, then build the prompt-prioritized strategy around your specific buyers rather than a generic template. That includes the GEO content plan, the technical crawler and structured-data work, and management of ChatGPT Ads and other LLM ad platforms as they roll out market by market — coordinated as one plan, reported as one number: are you the suggestion or the also-ran.

Reporting the strategy, not just the tactics

Report against the prioritized prompt list monthly, not a generic traffic dashboard. Show movement on the five to ten prompts that matter, with named competitor comparisons — that's the only report that tells you whether the strategy, not just the content volume, is working.

It's also worth revisiting the priority list itself every quarter, not just the results against it. Buyer language shifts, new competitors enter a category, and a prompt that mattered six months ago can become secondary to a new one. A strategy that never re-evaluates its own priority list eventually optimizes for yesterday's buyer behavior instead of today's.

Finally, share the report with sales, not just marketing. A shift in which competitor is winning a key prompt is often the earliest signal of a competitive move worth knowing about before it shows up in lost deals.