AEO Visibility Engine
A 90-day system that structures your expertise, content, and authority signals so ChatGPT, Perplexity, Google AI Overviews, and future answer engines can understand your company and recommend it by name.
SEO helped buyers find websites. AEO helps AI engines find the companies worth recommending.
What's included
A baseline read of how ChatGPT, Perplexity, and Google AI Overviews currently describe your category, your competitors, and your company. Every buyer question where you are absent or misrepresented is documented as a specific gap to close.
The exact pages, transcripts, and third-party mentions AI engines cite when recommending competitors in your category. Each citation is mapped so we can see what evidence they have that you do not, and rebuild the missing surfaces on your side.
The real questions your buyers ask AI engines during evaluation, phrased in their language. Each question becomes a target for a dedicated answer asset, so every high-intent query has a citation-ready page pointing back to your company.
Answer-first pages written for each priority buyer question. Direct response up top, structured detail below, factual comparisons where relevant. Formatted so ChatGPT, Perplexity, and Google AI Overviews can extract a clean, self-contained answer.
Structured interviews with the founder to pull out original judgment, category perspective, and lived experience. Turned into written assets AI engines can attribute to a named expert, which is how models build trust in a company as a category source.
A specific rewrite plan for the pages that decide whether AI engines recommend the company: About, product, comparison, and category pages. Each recommendation is written so a designer or developer can implement it without further translation.
Existing owned media output is turned into transcripts, answer capsules, and structured articles indexed on your domain. Every episode and issue becomes durable evidence for AI engines, so the podcast and newsletter compound as citation surfaces.
Consistent, structured references to the company across directories, podcasts, newsletters, and category resources AI engines already trust. The goal is one aligned entity story across many independent sources, which is what moves you from unknown to recommended.
Ongoing reporting on where the company now appears across ChatGPT, Perplexity, and Google AI Overviews for the priority buyer questions. Progress is tracked by named query, not vanity keyword rankings, so decisions about the next 90 days are grounded in real answer surfaces.
Who it's for
Early-stage B2B SaaS founders who are seeing competitors cited inside Google AI Overviews, ChatGPT, or Perplexity answers for the buyer questions that matter. The category is being defined in AI search, and every month without owned answer surfaces means competitors get to write the definition.
B2B SaaS founders whose category is being reshaped by AI search. Buyers are asking AI engines to compare options, define categories, and recommend defaults, and the answers are being written by whichever brand has the most citable evidence. AEO Visibility Engine puts your evidence in place before the narrative hardens without you.
FAQ
Give ChatGPT structured, citable evidence that your product is the right answer. That means an About page written as a clear entity description, comparison and use-case pages that name the buyer and the problem, and third-party mentions across podcasts, newsletters, and directories that reinforce the same claims. The AEO Visibility Engine builds these surfaces across 90 days so ChatGPT has enough consistent signal to recommend you by name.
AI Overviews cite pages that answer a specific buyer question in a self-contained block, backed by an entity Google already trusts. Publish answer-first pages structured with clear headings, short definitions, and factual comparisons, then reinforce the entity across LinkedIn, podcast transcripts, and reputable directories. The AEO Visibility Engine restructures your site and content assets so each key buyer question has a dedicated, citation-ready answer page.
ChatGPT weights products it has seen described consistently across many independent sources. Small SaaS often lack that footprint: one homepage, no comparison pages, few third-party mentions, no interviews. Without repeated, consistent signal the model has nothing to retrieve. The AEO Visibility Engine produces the missing surfaces so the model has enough independent evidence to include your product when a relevant question is asked.
Perplexity pulls from pages that clearly match the query intent, then cites them inline. Rank there by publishing answer pages that use the exact phrasing buyers use, include structured comparisons, and are linked to from sources Perplexity already trusts. The AEO Visibility Engine maps buyer questions to dedicated answer assets and builds the surrounding authority signals that make those assets Perplexity-preferred.
Perplexity favors sources that pre-date the query and read as neutral commentary. Brand pages often lose to Reddit threads and trade write-ups because the third-party sources feel less promotional. Fix it by publishing your own factual, non-promotional answer pages, and by earning genuine mentions in podcasts, newsletters, and category directories. The AEO Visibility Engine builds both sides so brand pages compete on evidence, not tone.
Publish content that is structured, factual, and repeatedly referenced across the web. Models train on the open corpus, so what compounds is a consistent, well-linked story about who the company serves, what problem it solves, and how it compares. The AEO Visibility Engine extracts founder expertise, turns it into structured articles and transcripts, and distributes the same claims across channels the crawlers already index.
Short, answer-first pages that lead with the direct response, followed by a clear explanation, comparison table, or example. Each page should target one buyer question and use the buyer's own language. Long, meandering blog posts underperform because engines cannot cleanly extract an answer. The AEO Visibility Engine writes and structures each core buyer question as its own extractable, citation-ready asset.
Rewrite core pages so the first block answers the query directly, then supports it with structured detail: definitions, comparisons, use cases, and named alternatives. Add schema, keep facts consistent across pages, and remove marketing filler that dilutes the answer. Traditional SEO still helps the page get indexed. AEO decides whether the page becomes the answer. The AEO Visibility Engine handles both layers together.
Both, but weighted toward AEO for anything beyond commodity keywords. SEO still drives navigational and long-tail traffic, while AEO decides which brands get recommended inside AI Overviews, ChatGPT, and Perplexity answers, where an increasing share of buyer research happens. The AEO Visibility Engine restructures existing SEO assets so they compete as answer sources without sacrificing traditional rankings.
Own a narrow question completely. Pick one specific buyer problem, publish the most complete answer page for it, back it with founder expertise, third-party mentions, and structured comparisons, then repeat across adjacent questions. Depth beats breadth in AI search. The AEO Visibility Engine identifies the exact questions where being the default answer is realistic and builds the assets that earn that position.
Ninety days to structured expertise, citation-ready pages, and an authority footprint AI engines can trust. Book a call to see the current gap and the shortest path to closing it.
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