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AI-Visual Branding Package

Three vendors, one engagement.

Marketing directors hire a photographer for the team headshots. An SEO consultant for the on-page work. An AI strategist for the retrieval-bot setup. Three different scopes, three different invoices, three different accountability surfaces. One of them goes to ground and the project stalls. We run all three as one engagement. The shoot day produces the assets. The same week, those assets get rebuilt into multi-modal pages with FAQ schema, answer-first leads, and AI-crawler-aware robots.txt. AI accelerates discoverability. The lens still does the work.

Custom quote + quarterly retainer

Ideal for: Marketing directors who want their brand cited by ChatGPT, Perplexity, and Google AI Overviews

What the Package Actually Delivers

Line items, not adjectives.

Shoot day: 80-150 photographs and 3-4 short videos
Service pages rebuilt as multi-modal (text, photos, video, schema)
FAQ schema and answer-first lead paragraphs for AI retrieval
robots.txt and llms.txt configured for ChatGPT, Perplexity, Claude, Google
Structured data and sitemap submission to Google, Bing, IndexNow
AI-augmented post-production (Descript transcripts, AI denoise, AI roto)
Quarterly AI-citation tracking report across major AI platforms

The Visibility Problem

What marketing directors are seeing right now.

Marketing directors are losing visibility as buyers move from Google to ChatGPT and Perplexity for vendor research.

Hiring a photographer, an SEO consultant, and an AI strategist as separate vendors triples the coordination cost and one of the three almost always misses the deadline.

Team pages built around stock photography get skipped by AI retrieval systems that prefer original, named, structured imagery.

Competitors are getting cited by AI engines because their sites are structured for retrieval, not just for humans.

Concrete Deliverables, Not Abstractions

Every item ships as a file you can put to work.

A shoot day that delivers 80-150 photographs and 3-4 short videos of real people on real premises.
Service pages rebuilt as multi-modal documents with text, photos, video, and FAQ schema in the same view.
robots.txt and llms.txt configured so ChatGPT, Perplexity, Claude, and Google AI Overviews can read and cite your pages.
A quarterly report showing which AI platforms surfaced your brand and which queries triggered the citation.

From First Call to Final Delivery

The same sequence runs on every engagement.

1

Discovery

One call to map your buyers, your competitors, and the queries you want AI engines to answer with your brand.

2

Asset Audit

We review every public service page, headshot, and video for AI retrievability and flag what to keep, rebuild, or replace.

3

Shoot Day

On-site corporate photography and short-form video. Real people, real premises, no stock substitutes.

4

AI Search Setup

Service pages rebuilt with FAQ schema, answer-first paragraphs, robots.txt, llms.txt, sitemap submission to Google, Bing, and IndexNow.

5

Quarterly Tracking

A recurring report showing which AI platforms cited your brand and which prompts triggered the citation.

This is the same playbook I run on my own site. In February 2026, AI Central Substack cited my work as a reference example for AI search visibility in photography.

Questions Buyers Ask About This Package

Scope, scheduling, and delivery for the AI-Visual Branding Package package.

Does this replace SEO?
No. Traditional SEO still drives Google search traffic. AI-Visual Branding adds a second retrieval layer so ChatGPT, Perplexity, Claude, and Google AI Overviews can also surface your brand. The two layers complement each other.
Will the photographs look different from a standard corporate shoot?
The shoot day itself is real corporate photography, the same standard we deliver to every client. The difference is in how the deliverables get published: paired with FAQ schema, answer-first copy, and robots.txt rules so AI engines can actually read and cite the page.
What is llms.txt and do we need it?
llms.txt is a plain-text file at the root of your site that tells large language models which content you want them to use. It is not yet a formal standard, but several AI crawlers honor it today and adoption is growing. Adding it costs nothing and signals intent to AI engines.
How do you measure citation tracking?
Each quarter we run a defined set of buyer-intent prompts against ChatGPT, Perplexity, Claude, and Google AI Overviews, then record which answers cite your brand and which competitors get surfaced instead. The report shows the trend across quarters, not a single snapshot.
What proof do you have that this approach works?
We run the same playbook on this site. In February 2026, AI Central Substack cited Henry David Photography as a reference example for AI search visibility in the photography industry.
Can I add this to a project I already booked?
Yes. The AI search setup and citation tracking layer can be added on top of an existing shoot or retainer. The package is the cleanest path because the shoot day, asset audit, and AI search setup are coordinated in one engagement.

Onboarding us as a vendor? See how we work with enterprise procurement teams.

One Call Sets the Scope

Tell us what you need produced, and we will map the AI-Visual Branding Package package to it.