What AI search optimization means (without the buzzwords)
AI search optimization — sold elsewhere as AI SEO, GEO, or AEO — is making your company visible in AI-generated answers: ChatGPT, Gemini, Google's AI Overviews and AI Mode, Copilot, Perplexity. These systems don't rank ten results; they synthesize an answer and mention a handful of businesses. Getting mentioned is a function of what the underlying models and their live web lookups can find and verify about you.
That makes the work concrete, not mystical. AI systems trust businesses that look consistent and verifiable everywhere they check: your website, your Google Business Profile, review platforms, directories, and coverage by third parties. Most of what moves AI visibility is disciplined, checkable work on those assets — plus content structured so machines can lift accurate answers from it.
What AI search optimization work involves
AI visibility baseline — the 25-prompt audit
Before anything changes, establish where you stand: 25 fixed prompts covering five homeowner intents (hiring, emergency, comparison, reputation, and cost research), run across ChatGPT, Gemini, and AI Overviews, scored for mentions, accuracy, and sentiment — then re-run on the same prompts, so movement is real rather than cherry-picked. The methodology is published in full — run your own baseline before ever talking to a vendor, and hold whoever you hire to it.
Entity and data consistency
One canonical version of your business — name, services, service area, hours, licensing — enforced across your site, Google Business Profile, and the directory ecosystem. Structured data (schema.org markup) that states it machine-readably. Inconsistency is the quiet killer here: a model that finds three versions of your service area cites the company with one.
Citable content
AI answers about cost, process, and "who to call" pull from pages that answer plainly and can be attributed. That means pages built for your trade's real questions — the insurance-claim process for roofers, the repair-vs-replace decision for HVAC — with direct answers up top and specifics AI systems can quote. Not volume. Pages worth citing.
Review and reputation signals
Assistants asked "who's reputable?" lean hard on review platforms. The work here is a review generation cadence, a response discipline, and breadth across platforms — the record that makes the answer to that question you.
Re-measurement you can verify
The audit re-runs on the same prompts, the score moves (or the reasons it didn't are on the table), and the results read in plain numbers: prompts where you appeared, what the AI said, and the competitors named alongside you. AI visibility as a trend line, not a slogan.
What we won't promise
Nobody controls AI outputs. Answers vary by phrasing, user location, and model updates — anyone guaranteeing "#1 in ChatGPT" is selling something unfalsifiable. What's honest to promise: the verifiable signals AI systems rely on will be built, presence will be measured the same way every quarter, and you'll see the trend line. As of September 2026, that's the strongest claim anyone in this market can truthfully make.
Built for the five trades we know
Homeowner prompts differ by trade — "who should replace my roof" is a weeks-long research decision, "who fixes a burst pipe at 2 a.m." is won by different signals entirely. The audit prompts and content plan come pre-built per vertical: