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Vera

SEO & GEO Visibility Agent

Vera tracks how ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews answer the questions your buyers ask, builds the positioning, cornerstone content and placements that move those answers, and measures again.

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Marketing · department
VeraSEO & GEO Visibility AgentLive

Handles

  • Your recommendation rate across five AI assistants
  • Repeated sampling, scored as a distribution, not a one-off test
  • Cornerstone content written for the questions buyers ask
  • A placement shortlist that a person approves before any spend

Where it breaks

Buyers ask AI assistants what to use. You don't know what they hear.

Search is moving into AI answers. Rank tracking doesn't tell you whether ChatGPT or Perplexity recommends you, and a single prompt test gives a different answer every time you run it.

The fix

Vera asks the same questions again and again across the major assistants, scores how often you are recommended and whether you fit, and works through a plan to change it - with a person approving anything that costs money.

Vera · Before / after4 changes
  1. Rank tracking onlyRecommendation rate across five AI assistants
  2. One-off prompt testsRepeated sampling, scored as a distribution
  3. Content written without a targetCornerstone and supporting pieces for chosen prompts
  4. Missing from the places AI agents readA submission queue for llms.txt, MCP registries and lists

What we build

An agent is a stack.

Vera is 6 capabilities working as one, each built around how your team already works.

Vera · capabilities6 parts
Keyword and prompt radarFinds the phrases and questions worth winning.
  • Category phrases and prompt clusters ranked by volume, intent and competition
  • Related questions found by fanning out from each query
  • A shortlist of the prompts that matter for your category
AI visibility trackerMeasures what the assistants actually say about you.
  • Repeated prompts across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews
  • Scores whether you are recommended, and whether you fit
  • Results read as a distribution, not a single run
  • Change tracked over time
Positioning blockOne statement the whole web can quote.
  • A 150-250 word master statement
  • A credibility stack where every claim can be checked
  • Nothing invented
Cornerstone contentLong-form content built for the prompts you chose.
  • A 3,000+ word cornerstone article
  • 5-10 supporting pieces
  • Copies for LinkedIn, Medium, dev.to, Reddit and YouTube, linked back to the original
Placement scoutEarned and paid placements, vetted first.
  • A vetted guest-post shortlist with a budget
  • A person approves every purchase
  • The agent never spends money on its own
Agent-native distributionPresent where AI agents look, not only where people search.
  • Audits llms.txt, AGENTS.md, MCP registries and curated lists
  • A submission queue for a person to work through

How it works

From day one to running.

  1. Step 01Find the questionsThe phrases and prompts your buyers use.
  2. Step 02Measure the answersRepeated prompts across five assistants, scored.
  3. Step 03Build and placePositioning, cornerstone content and approved placements.
  4. Step 04Measure againThe same prompts, re-scored, so you see what changed.

Use cases

Where teams put it to work.

  1. Product marketerCategory launchKnow whether assistants recommend you in your category, and move it
  2. Head of marketingAI search auditA measured baseline across five assistants before you spend on content
  3. Content leadContent programA cornerstone piece and its supporting pieces aimed at the prompts that matter

Under the hood

Plugs into your stack.

Vera works inside the tools your team already uses, on infrastructure you own.

Vera · Integrations5 connected
  • SEO data (SE Ranking, Ahrefs, or your tool)
  • AI assistants (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews)
  • Placements (Collaborator or your marketplace)
  • GitHub
  • Runtime & Orchestration (Trinity by Ability AI)

Questions

Before you ask.

What is GEO?

Generative engine optimization: making sure AI assistants such as ChatGPT, Perplexity and Gemini know about you and recommend you when buyers ask. It sits next to classic SEO, not instead of it.

How do you measure AI recommendations?

By asking the same questions many times across the major assistants and scoring each answer. Assistants vary from run to run, so Vera reads the results as a distribution rather than trusting a single test.

Will Vera buy placements for us?

No. She builds a vetted shortlist with a budget; a person approves and buys. The agent never spends money on its own.

Is Vera a real agent?

Yes. Vera runs our search and AI-search visibility at Ability AI today, on Trinity, alongside the rest of our agents. We build the same agent for your company, on your stack and your infrastructure.

Next step

Put Vera to work.

Start hereBring one workflowA 30-minute working call. We’ll map your workflow to Vera and tell you honestly whether it’s worth building.
Book a call to implementProvide it to my clients
In productionSee agents at work in real companiesWhat we built inside our clients’ operations, and what changed for them.

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