Services / AI Visibility
Get cited by the AI that's replacing search.
ChatGPT, Perplexity, Google AI Overviews, Claude — they answer your customers' questions now. We make sure they cite you, not your competitors. Generative engine optimization for the new search.
Scope AI visibility →Your buyers are asking ChatGPT, not Google.
For research, product comparisons, vendor shortlists, "best X for Y" questions — AI assistants are eating the front of the funnel. Google AI Overviews already covers most informational queries. Perplexity is a daily tool. ChatGPT search is mainstream.
If you're not cited in those answers, you don't exist. Traditional SEO doesn't fully solve this — the signals are different, the optimization is different, and most agencies are still selling 2018 playbooks.
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01
AI visibility baseline
We test how you appear across ChatGPT, Perplexity, Google AI Overviews, Claude, and Bing Copilot for the queries that matter. Where you're cited, where you're missing, where competitors are winning.
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02
Crawler accessibility
AI crawlers (GPTBot, PerplexityBot, ClaudeBot, Google-Extended) read sites differently than Googlebot. We make sure your content is fetchable, parseable, and well-structured for them.
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03
Passage-level optimization
LLMs cite specific passages, not whole pages. We rewrite key content into citable, quotable, fact-dense passages with clear claims and sources.
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04
Entity & brand signals
Knowledge graph presence, Wikipedia/Wikidata where relevant, consistent brand mentions across the web. The signals that tell AI "this entity is real and authoritative."
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05
llms.txt & structured data
Schema markup (Article, FAQ, HowTo, Product), llms.txt convention, JSON-LD done right. Machine-readable context that LLMs can grab and trust.
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06
Citation monitoring
Ongoing tracking of where you're being cited (and where you're being misquoted). Monthly report, alerts on changes, course corrections.
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Step 01
Query set
Define the 50–200 questions your buyers actually ask AI tools. These become the test set for everything that follows.
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Step 02
Baseline test
Run the queries across ChatGPT, Perplexity, AI Overviews, Claude, Copilot. Document who gets cited, in what context, with what framing.
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Step 03
Build & optimize
Crawler config, schema, llms.txt, passage rewrites, entity signals. The full stack of GEO work, shipped in priority order.
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Step 04
Re-test & monitor
Re-run the query set monthly. Citation lift is the metric. Iterate where signal is weak.
Is "AI SEO" a real thing or marketing fluff?
How is this different from regular SEO?
Can you guarantee ChatGPT will cite us?
What kinds of businesses benefit most?
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