GEO vs SEO: A Step-by-Step Guide to Running Both in Parallel

Most marketing teams treat GEO vs SEO as an either/or debate. It is not. They target different discovery surfaces, search engine results pages versus AI-generated answers, and a brand that ignores either one is leaving real traffic on the table. This guide walks you through exactly how to audit where you stand today, close the gaps, and build a repeatable process that covers both channels.

Step 1: Understand What You Are Actually Optimizing For

Before touching a single page, get clear on the difference in intent.

SEO optimizes for ranked links on Google and Bing. The signal that matters is whether your page appears in the top results when someone searches a keyword. Success is measured in impressions, clicks, and position.

GEO (Generative Engine Optimization) optimizes for citation in AI-generated answers, the kind ChatGPT, Perplexity, Claude, and Gemini produce when a user asks a question rather than running a keyword query. The signal that matters is whether the AI mentions your brand, links to your page, or uses your content as a source.

Checkpoint: Write down three core keywords you care about. For each one, run a Google search and an identical query in ChatGPT or Perplexity. Are you appearing in both? Neither? Only one? That gap is your starting point.

Step 2: Audit Your Current Visibility on Both Channels

You cannot improve what you have not measured. Run both audits before making any changes.

SEO Audit (30 minutes)

• Pull your current rankings in Google Search Console or a rank tracker for your target keywords.
• Note position, CTR, and whether you rank in featured snippets or People Also Ask boxes, these already signal that Google considers your content authoritative enough to surface prominently.
• Flag any pages ranking on page 2 or lower for your priority terms.

GEO Audit (30 minutes)

• Open ChatGPT, Perplexity, Claude, and Gemini.
• For each of your target keywords, ask a natural-language question a real buyer would ask (e.g., "What is the best tool for tracking brand mentions in AI search?").
• Record whether your brand appears, and if so, how prominently. Note which competitors are cited instead.
• Do this across at least two or three models, AI citation patterns vary significantly between them.

If you want this to scale beyond a handful of keywords, a dedicated AI visibility checker makes the tracking systematic rather than manual.

Checkpoint: You now have a two-column snapshot, your SEO position and your GEO presence, for each keyword. Any keyword where you rank well on Google but are absent in AI answers is a high-priority GEO gap. Any keyword where AI answers cite you but you are buried in Google is a high-priority SEO gap.

Step 3: Fix the Foundation That Serves Both Channels

Several optimizations improve your standing in both SEO and GEO simultaneously. Start here because the work compounds.

Structured, authoritative content. Both Google and AI models reward content that clearly answers a specific question. Write with a single question per page or section, answer it directly in the first paragraph, then support it. Avoid preamble.

Schema markup. Structured data (FAQ, HowTo, Article) helps Google surface rich results and gives AI models clean, parseable signals about what your content covers. See the full schema markup for AI search guide for implementation details.

llms.txt. This is a GEO-specific file (analogous to robots.txt) that tells AI crawlers what your site covers and which pages are authoritative. It has no SEO impact, but it is one of the clearest GEO signals you can add. Takes under an hour to implement.

Third-party citations. AI models are trained on the web, they heavily weight content that is cited and linked to from other authoritative sources. PR, guest posts, and original research that gets picked up elsewhere serves both channels.

Checkpoint: After implementing schema and structured content, re-run your GEO audit from Step 2. You should see citation rates improve within a few weeks as AI models re-index.

Step 4: Tackle Channel-Specific Gaps

Once the foundation is in place, address the gaps that are unique to each channel.

SEO-specific fixes:

• Build internal links to pages stuck on page 2.
• Improve title tags and meta descriptions for pages with low CTR.
• Consolidate thin or duplicate pages that are splitting link equity.
• Pursue backlinks from topically relevant domains.

GEO-specific fixes:

• Write explicit answer paragraphs. AI models favor content structured as "Question → Direct Answer → Supporting Detail." If your page buries the answer in paragraph four, models will skip it.
• Add your brand to contexts where competitors are being cited. Find those contexts by reading the AI answers you collected in Step 2, what question is the model answering when it cites your competitor? Write a better answer to that exact question.
• Publish content on the entities the AI models associate with your topic. The how AI models choose which sources to cite guide covers this in depth.

The GEO vs SEO distinction matters most here: do not try to apply SEO link-building logic to GEO. AI citation is earned through relevance, clarity, and third-party validation, not anchor text distribution.

Checkpoint: For each keyword gap you identified in Step 2, you should now have at least one specific action queued (a page to rewrite, a schema block to add, a content piece to publish). Prioritize by potential traffic and current gap size.

Step 5: Build a Monitoring Cadence

Both channels are dynamic. Rankings shift. AI models update. Competitors publish new content. You need a recurring process, not a one-time audit.

Weekly:

• Check for significant ranking movements on your top 10 SEO keywords.
• Spot-check 2-3 AI queries manually or via a tracking tool.

Monthly:

• Run a full GEO audit across all tracked keywords and models.
• Review which competitors have appeared or disappeared from AI answers.
• Identify new keywords where AI answers are emerging (often ahead of Google trends).

Quarterly:

• Reassess your content strategy based on both data sets.
• Look for content gaps where AI models are synthesizing answers from generic sources, those gaps are opportunities to publish something more authoritative.

Tools like Bingly automate the GEO side of this monitoring, tracking your citation rate across ChatGPT, Perplexity, Claude, and Gemini on a schedule so you are not running manual spot-checks every week. For the SEO side, Search Console plus your rank tracker of choice handles it.

Checkpoint: At the end of this step, you have a documented cadence, who checks what, how often, and what the escalation threshold is for a significant drop.

Putting It Together

The practical reality of GEO vs SEO in 2025 is that the two disciplines share most of their foundations (clear, authoritative content; structured data; third-party validation) but diverge at the edges. SEO demands technical excellence and link acquisition. GEO demands answer-oriented content and direct entity relevance.

Running both does not require double the effort, it requires making sure your existing content is structured to serve both surfaces, and that you are measuring both. Teams that instrument GEO monitoring now are building an early lead while most competitors are still only watching Google rankings.

The step-by-step process above gives you a working starting point. Audit first, fix the shared foundation, address channel-specific gaps, then keep both channels monitored on a regular cadence.

Start tracking your AI visibility alongside your SEO rankings at Bingly, it takes about five minutes to set up keyword tracking across the major AI models and see exactly where your gaps are.