How to Use Generative Engine Optimization Tools: A Step-by-Step Guide

AI-generated answers now sit at the top of the search experience for millions of queries. If your brand isn't cited in ChatGPT, Perplexity, Claude, or Gemini responses, you're invisible to a growing segment of your audience. Generative engine optimization tools close that gap, but only if you use them in the right order, with the right actions attached to the data.

This guide walks you through exactly how to build and execute a GEO workflow, from baseline auditing through ongoing tracking and iteration. Follow the steps in sequence and you'll have a repeatable system by the end.

Step 1: Establish Your AI Visibility Baseline

Before you can optimize anything, you need a clear snapshot of where you stand today.

What to do:

1. List your 10-20 highest-value keywords, the ones you already rank for in traditional search and the ones tied to your product's core value proposition.
2. Run each keyword through a generative engine optimization tool like Bingly across multiple AI models simultaneously (ChatGPT, Perplexity, Claude, Gemini). Don't rely on a single model, each has different training data, citation habits, and source preferences.
3. Record whether your domain appears in the response, what position or context it appears in, and which competitors are cited instead.
4. Export this data as your baseline scorecard. You'll compare everything against it going forward.

Checkpoint: You should have a spreadsheet or dashboard showing your citation rate per keyword per model. If you're appearing in fewer than 30% of relevant queries, you have significant GEO work ahead.

For a broader primer on the discipline, the GEO vs SEO breakdown is worth reviewing before you go further, it clarifies where these two practices overlap and where they diverge.

Step 2: Audit Your Content Against AI Citation Criteria

AI models don't cite pages arbitrarily. They favor sources that are authoritative, well-structured, factually dense, and clearly scoped to a topic. Your next job is to evaluate your existing content against these criteria.

What to do:

1. For each keyword in your baseline, identify the page on your site most likely to be cited. If no page clearly owns that topic, note the gap.
2. Run each page through an AI visibility checker to see how the model characterizes your content, what it thinks the page is about, what claims it would attribute to you, and what it's not picking up. See the AI Visibility Checker guide for how to interpret these outputs.
3. Flag pages where the model's characterization is wrong, incomplete, or too vague. These are your priority optimization targets.
4. Check technical factors: Does the page have clear entity definitions? Is the author or organization identified? Are claims supported by specific data points? Is the structure scannable (headers, short paragraphs, defined terms)?

Checkpoint: Each flagged page should have a documented gap, a specific reason the model isn't citing it. "Too vague," "no named entity," "buried lead," and "no supporting data" are common findings.

Step 3: Implement On-Page GEO Fixes

With your audit complete, you move into execution. The changes that move the needle most for AI citation are different from classic on-page SEO, they're about clarity, structure, and citability.

What to do:

1. Sharpen your lede. AI models parse the opening 200-300 words heavily. State exactly what the page covers, who it's for, and what the key claim is. Don't bury the answer.
2. Add structured definitions. For any term central to your topic, include a clear, quotable definition on the page. Models love to cite pages that define things unambiguously.
3. Include specific data and attributions. Vague claims ("many companies struggle with X") are rarely cited. Specific, attributed statistics are cited frequently. Update thin claims with real numbers.
4. Implement schema markup. Article, FAQ, HowTo, and Organization schema help AI systems understand page context and authorship. Follow the technical implementation steps in the Schema Markup for AI Search guide.
5. Add or update your llms.txt file. This signals to AI crawlers what your site covers and which pages to prioritize. The llms.txt guide covers this in detail.
6. Shorten paragraphs and add descriptive subheadings. Dense walls of text don't get cited. Well-segmented content with clear section headers does.

Checkpoint: Each priority page should have a documented list of changes made. Don't rely on memory, you need a record to correlate with the next tracking cycle.

Step 4: Track Changes and Measure Citation Lift

Generative engine optimization tools are only as useful as the tracking loop you build around them. One-time audits don't cut it, AI model behavior changes as training data is updated, and your competitors are moving too.

What to do:

1. Set a re-scan cadence. Weekly is ideal for competitive keywords; bi-weekly is acceptable for longer-tail queries.
2. After each content update, run a targeted re-scan for the affected keywords within 2-4 weeks. AI models don't update in real-time, but changes do propagate.
3. Track citation rate, position context, and competitor displacement as your three core metrics. A rising citation rate with no change in position context means you're appearing more but not as an authority source, a signal to deepen the content.
4. Use the trend data to prioritize your next round of fixes. Focus resources on keywords where you're close to breaking through (cited sometimes, but inconsistently) before tackling keywords where you have zero presence.

Checkpoint: You should have a weekly or bi-weekly report showing citation rate movement per keyword. Flat or declining numbers after optimization usually mean a structural content issue, not a tool or tracking problem.

Step 5: Build Community Intelligence Into Your GEO Strategy

The most underused input in a GEO workflow is community data, the actual language your buyers use when they talk about problems your product solves. AI models are trained on the web, and Reddit, Hacker News, and forums are a meaningful part of that corpus.

What to do:

1. Use a Reddit monitoring tool to identify threads where your target keywords appear alongside intent signals, comparisons, frustrations, buying questions, tool requests.
2. Extract the specific language people use. If buyers consistently describe a problem as "my content doesn't show up in AI answers," that phrase (not your internal terminology) should appear on your site.
3. Identify questions that appear repeatedly in community discussions but aren't answered well anywhere. These are content gaps you can own.
4. When you publish content that addresses these gaps, it's more likely to be cited because it matches the semantic patterns AI models have seen in training data.

This community research layer feeds directly into Step 3, the more precisely your content mirrors how real people describe their problems, the more citable it becomes.

Step 6: Monitor Competitors and Adjust

Your GEO strategy doesn't exist in a vacuum. Generative engine optimization tools let you track not just your own citations but the competitive landscape, which domains are consistently cited for your target keywords, and why.

What to do:

1. Run competitor domains through the same keyword set you use for your own tracking. Note which competitors appear most frequently and in which models.
2. Analyze their cited pages for the factors that likely drove the citation: structure, data density, entity clarity, recency.
3. Identify one or two tactics from high-performing competitor pages that you haven't implemented yet, and add them to your next optimization cycle.
4. Watch for newly appearing domains. A site that jumps from zero citations to frequent citations in a short window has likely made deliberate GEO changes worth studying.

Checkpoint: Your competitive analysis should update on the same cadence as your own tracking. Monthly competitive reviews are the minimum; weekly is better in fast-moving categories.

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The brands that will dominate AI-generated answers over the next two years are the ones building systematic GEO workflows now, not the ones making ad hoc updates and hoping for the best. This process works, but only if you follow through on every step and treat tracking as non-negotiable.

Start tracking your AI visibility across ChatGPT, Perplexity, Claude, and Gemini at Bingly, get your baseline scorecard in minutes and see exactly where you stand before your competitors do.