What's the most important report in Peec or Profound?

The source/domain gap report — the third-party sites citing your competitors but not you. Because AI engines cite off-domain sources far more often than your own site, that report is effectively your action roadmap: it names the reviews sites, community threads, editorial roundups and reference pages the engines already trust for your category, with the ones citing competitors but not you flagged.

My visibility score went up but I'm getting no traffic — why?

AI-search value is mostly in the mention inside the answer, not the click; click-through from AI summaries is low by design. Judge progress by share of voice on buying-intent prompts and by inbound that references being mentioned in ChatGPT or Perplexity, not by raw sessions. A rising visibility score with flat traffic is normal and isn't a failure — it means you're being seen inside answers.

What does "retrieved but not cited" mean and how do I fix it?

It means the engine found your page but couldn't confidently extract an attributable answer from it — an extraction problem, not an authority problem, and the cheapest fix on the board. Fix it with content shape: answer-first sections that lead with a one-sentence answer, atomic paragraphs, comparison tables, FAQs, and making sure the content is in the raw HTML rather than rendered only by JavaScript, because most AI crawlers don't execute scripts.

How often should I act on my Peec or Profound data?

Continuously. Re-run the gap reports on a regular cadence — monthly is common — because answers, competitors and cited sources shift week to week, and citations decay as content ages. Treat AI-search optimisation as a recurring programme that compounds, not a one-off campaign that flattens out.

Can I act on Peec or Profound data myself, or do I need help?

You can, if you have the content and off-site capacity to sustain it. Most teams find the recurring volume — rewrites, new pages, review profiles, community participation and editorial outreach across dozens of priority prompts every month — is the bottleneck, which is where a done-for-you execution layer like Schmitdy comes in: it works the dashboard's gap list for you, human-reviewed.

AI Search Peec Profound AI Citations Citation Share Gap Report AEO GEO Share of Voice Schmitdy

From Peec or Profound Data to AI Citations: A 5-Step Playbook (2026)

Marco Lobo

6 June 2026·7 min read

TL;DR

Your Peec or Profound dashboard tells you where you're invisible in AI answers. Turning that into citations is a five-step job: read the gap reports (not the vanity score), turn cited sources into a target list, fix pages that are retrieved but not cited, build the off-site footprint the data points to, then re-measure on a cadence.

The single highest-leverage move is the source/domain gap report — the third-party sites citing your competitors but not you. That's your roadmap.

Most of the work lands off your own domain and has to recur. If you have the data but not the hands, that's the gap to close.

The bottom line

A visibility dashboard is a map, not a journey. The value is in working the gap reports — especially the source/domain report — into shipped, citable work on the third-party surfaces the engines already trust, then re-measuring and going again. Start with the source gap. Then move the answer.

Frequently Asked Questions

AI Search Peec Profound AI Citations Citation Share Gap Report AEO GEO Share of Voice Schmitdy

Marco Lobo

Founder, Schmitdy

Marco builds AI search growth systems that turn prompts, sources, content, and agents into pipeline for B2B teams.

LinkedIn X / Twitter

Handdrawn editorial illustration on a cream background split into three panels: on the left, a dashboard with a gauge and bar chart labelled tool; in the middle, three people standing together labelled agency; on the right, a friendly robot wearing a headset talking with a person labelled agent — the three layers of improving AI search visibility

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AI Search Tool vs Agency vs Agent: Which Do You Actually Need in 2026?

There are three ways to improve your AI search visibility, and they're layers of the same stack, not rivals: a tool (Peec, Profound) measures where you stand; an agency executes the optimisation work with people; an agent — an AI-search agent — does the recurring volume under human review. A tool changes your understanding, not the answer. An agency changes the answer but costs the most and moves at human speed. An agent does the volume at mid-market cost with humans owning quality and strategy. In 2026 most teams keep a tool and add one execution layer — the real decision is which one.

Marco Lobo·6 Jun 2026·7 min read

Handdrawn editorial illustration on a cream background showing the Peec MCP agent pipeline: a dashboard of charts on the left connected by an MCP USB-C cable to a friendly robot agent in the centre, which passes through a human-approval clipboard with a checkmark to shipped outputs on the right — a content document and a JSON-LD schema block

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How to Build AI Agents on the Peec AI MCP for AEO and GEO (2026)

In late 2025 Peec AI shipped an official MCP server, which makes its entire AI-search measurement layer — projects, prompts, per-engine brand visibility, full AI answer transcripts, the source/citation graph and scored Actions — directly callable by an LLM agent. That means you can wire a Claude or GPT agent straight to the ground truth of how ChatGPT, Perplexity, Gemini and AI Overviews answer your category, and have it reason over the data and draft the work to close the gaps. The defensible build pattern is a read-only, five-stage loop with a human ship gate: the agent triages and drafts; a person verifies and ships.

Marco Lobo·6 Jun 2026·9 min read

Handdrawn editorial illustration on a cream background splitting two worlds: on the left, a stack of classic search result pages with a search bar and ten blue ranked links labelled SEO; on the right, an AI answer speech bubble with a small robot, lines of generated text, and three cited-source chips labelled AEO / GEO, the shift from ranking links to being cited inside the AI answer

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AEO vs GEO vs SEO: The Difference, and Which One You Need in 2026

SEO ranks links in classic search. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) optimise to be cited inside the AI-generated answer in ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot. AEO and GEO are near-synonyms for the same goal; SEO is a separate, still-necessary discipline that feeds the retrieval pool. The practical answer in 2026 is that you do all three, but you measure AEO/GEO on citation share, not blue-link position, and the winning levers (off-site footprint, entity authority, content shape, freshness) sit mostly off your own site.

Marco Lobo·6 Jun 2026·9 min read

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