The #1 organic result on an informational query used to be worth something. In 2023, that position delivered a 7.6% click-through rate. Today it's 3.9%. AI Overviews now appear on over 70% of informational searches, cutting clicks by up to 58%.
Only 14% of URLs and about 22% of domains show up in both AI search results and traditional organic rankings. The overlap is thin. Ranking well on Google doesn't guarantee visibility in ChatGPT, Perplexity, or Gemini.
Why This Matters for Your Pipeline Right Now
B2B buyers are creating shortlists in AI tools before engaging with sales. If your brand doesn't appear when a VP of Marketing asks Claude for "best demand gen platforms for mid-market SaaS," you're off the shortlist. Traditional attribution can't capture this.
The temptation is to flood the zone with AI-generated content targeting every prompt where competitors appear. This volume play backfires. Thin pages dilute topical authority, spread crawl budget across low-ranking URLs, and teach both Google and LLMs to treat your domain as noise. You weaken your presence in both channels.
The better approach is to treat AI visibility and SEO as an integrated system. Five strategies from Bodhium Labs show how to achieve this without undermining existing efforts.
Strategy 1: Audit How AI Describes You
You can't fix what you haven't measured. Ask the same buyer questions across ChatGPT, Gemini, Claude, and Perplexity. Log whether you appear, how you're framed, and which sources the model cites when competitors show up instead of you.
Peter Rota, an SEO consultant, emphasizes: "Companies often have a desired image, but conflicting information on their site or the web contradicts that." His advice: update your website first, resolve inconsistencies, then use an AI visibility tool to identify where competitors appear and you don't.
This turns vague anxiety into a scorecard. Your product page might be solid, but your Wikipedia entry could be outdated. A gap analysis reveals where effort pays off.
Strategy 2: Widen Your SEO Foundation
AI search hasn't killed SEO; it has broadened it. Major LLMs use search tools to retrieve pages and generate answers. Google isn't the only retrieval layer anymore; ChatGPT, Claude, and Perplexity run their own crawlers.
The basics still apply: ensure key pages are crawlable, keep product and category pages clear, and use plain headings. Also, check if your robots.txt blocks AI crawlers you want indexing your content. Avinash Kaushik, CSO at Human Made Machine, states: "Traditional SEO remains important and creates a strong foundation for AEO. We need to focus on doing more and be truly multi-model in our optimization."
Strategy 3: Test Before You Publish
A prompt audit might reveal hundreds of gaps. Publishing numerous posts to fill them is counterproductive. Thin pages dilute your strongest content and teach retrieval systems to overlook you.
Bodhium Labs uses AI interpretability techniques to determine why a brand is missing from AI answers and test which changes are likely to improve visibility before publication. Sometimes the fix is a new blog post; often, it’s updating a product page or enhancing a comparison page. Publish less, make every page count.
Strategy 4: Build Presence in Cited Sources
AI systems pull from review sites, Reddit, YouTube, analyst pages, and trade press. Your visibility depends on what others say about you. Levi Neuland, SVP of Digital Marketing at The Martin Group, notes: "The mentions that carry the most weight look more like earned press: third-party validation instead of owned content."
"X vs Y" comparison queries trigger AI Overviews at a 95.4% rate. If you're not on the comparison pages AI pulls from, you're invisible in those answers. Gemini cites YouTube heavily, while ChatGPT and Perplexity lean on review sites. Map these sources, then earn placement in them.
Strategy 5: Write for the Passage, Not the Page
Jared Starkey, Strategy Lead at Oomph, highlights the shift: "Two years ago, the target was the page. Today, the target is the passage. Retrieval systems extract content to answer questions directly, often without users visiting the page."
This means answer-first content. Lead with direct answers, use question-based headings, support claims with evidence, and name trade-offs. Original research, customer benchmarks, expert interviews, and pricing guidance are essential elements that AI can't generate from thin air.
AI queries are already three times longer than traditional searches, with some averaging over 20 words. Questions are becoming more specific. Generic 800-word posts won't survive that filter.
AI has made average content abundant. Judgment about what to publish, where to earn mentions, and which gaps to close with real expertise is now the only durable advantage. The 14% overlap number will likely grow. Brands that benefit will be those that built for both channels before convergence forced the issue.
