Changelog

September brought a new actions experience, a more capable agent, and new ways to balance your prompt set, track social channels, and share custom views.

The new actions experience

Actions turn your AI search data into a ranked list of opportunities, with the evidence behind each one. Site fixes come first, followed by owned actions on your own pages and earned actions such as getting listed, pitching editorial, and growing reviews. Fact-checking actions point you to source pages that contradict your brand facts, and you can write your own actions or have Peec draft one from a page or document. Work on an action yourself, with the agent, or in a connected tool. Nothing changes without your approval. Find them under Optimize in the sidebar.

Get help optimizing your existing pages

When an action points to a page you already have, the content optimizer opens it in a dedicated in-app editor with suggested changes. Accept, edit, reject, or revert each one on its own, or select a passage and describe how you want it reworked. It works on feature pages, articles, and listicles.

Keep work moving with your agent

The agent picked up these improvements in September.

Give it context

• Memory and context: On the Context page, add user context with notes that follow you into every project, project context, and company context with facts everyone at your company shares. The agent also saves and prunes personal memories on its own and proposes adding team facts to project or company context.

• Attach (almost) anything: Upload .pdf, .docx, .pptx, .xlsx, .csv, .txt, and .md files to give the agent context.

• Connect your stack: Browse 20+ MCP connectors, like Notion, Linear, and DataForSEO, from the redesigned Connectors page. Each connection uses your own login, and you choose which projects and tools it can reach.

Put it to work

• 30 built-in skills: A new model-gaps skill, a prompt auditor that flags prompts worded in favor of your own brand, competitor analysis that covers competitors you don't track, and a weekly check-in in next actions.

• Knows Peec inside out: The agent draws on Peec's product docs, GEO research, and how the app is built, so it can explain a metric, back up a recommendation, or show you where to find something.

• Improve your setup: Use skills to optimize your prompts, ask the agent to build custom views for you and your team, or have it create a new project, pitch projects included.

• Save and export charts: Export any chart from a chat as a CSV or an image, or save it to a view.

Control how it runs

• Pick an intelligence tier: Higher tiers reason more and use more agent usage.

• Find settings faster: AI settings is now four pages under Agent: Connectors, Context, Usage, and Behavior.

Balance your prompt coverage

Prompt discovery generates new prompts and spreads them evenly across your setup, so your tracking coverage stays balanced. Run it when you set up a new project, or on any existing project to fill the gaps in what you track.

See which social channels AI cites

Add your brand's and competitors' social channels under Brands, then Sources shows how each one performs in AI search, including YouTube, Reddit, LinkedIn, and TikTok. Track gains and losses in channel movers, filter URLs by who owns the channel, and find third-party channels worth working with.

Build and share custom views

Build views from 80 Peec widgets or from charts in your agent chats, then share them with your team or through a public link. Now each team in Peec can create a view relevant to their priorities.

Early access

Activate early access in your company settings to try My website with Google Search Console, which shows which queries and pages bring search traffic.

AI referrals connects Peec to Google Analytics, so you can measure what happens after someone clicks through from an AI assistant.

Compare traffic by assistant, landing page, country, and device. Then see which visits lead to engaged sessions, conversions, and revenue.

Find objections and incorrect claims

Brand perception now includes Objections and Fact-checking. Objections groups recurring arguments against your brand and shows the sources behind them. Fact-checking tests specific claims against the facts you define, so you can find outdated or incorrect information and correct it at the source.

See how your pages perform in AI search

My website brings crawling, citations, and traffic together at page level. See which pages AI bots crawl, which pages get cited, and which pages turn your AI search visibility into visits. The gaps show you where content gets discovered but not cited, or cited without sending traffic.

Set up your custom overview

The redesigned overview puts the metrics your team tracks in one place. Add, resize, and rearrange charts around your priorities, then use Peec Agent to investigate changes and decide what to do next.

Connect Peec to ChatGPT

Peec is now available in the ChatGPT Plugins directory. Connect your account through Peec's MCP integration to analyze visibility, competitors, prompts, sources, and sentiment directly in ChatGPT.

Better data from Google AI Overviews

Peec now captures more complete citations and richer product data from Google AI Overviews. Coverage now includes products, places, maps, and AI Mode citations, giving you a fuller view of the sources shaping Google's answers.

Find what you need faster

Filter menus now stay open while you make multiple selections, and your filters persist as you move between pages. You can also filter by key metrics and compare performance across time periods.

Visibility tells you whether AI mentions your brand. It does not tell you what the model actually says about you. When an engine is asked about your category it does not just list brands, it describes them, and those descriptions are what buyers act on.

Brand Perception is out of early access and available to everyone. It keeps two questions apart on purpose. What AI associates you with gives each attribute an association score. Where you hold ground against competitors gives every brand a market prominence score. Both run 0 to 100 and they are not comparable, which is exactly what makes the gap between them useful: you can be described as fast constantly and still lose "fast" to every competitor in your market. The summary names your top attribute, your strongest against competitors, and the biggest gap of the two. Find it under Brand in the sidebar.

A new Ads page

ChatGPT shows sponsored ads inside some answers, so paid placement can sit in the same response as your organic mention. The Ads page shows every ad we captured on your tracked prompts: who is advertising, what they are promoting, which pages they send people to, and how often they appear. You also get advertisers in market, who is bidding on your branded and comparison prompts, and your ad coverage. A Partner column separates platform-bought placements from ads a brand booked directly. ChatGPT only for now. The docs walk through the page.

Brand Perception in the API and the MCP

Brand Perception data is now queryable through the Customer API and the MCP server. An agent can pull your attribute scores, your competitive ranks, and the sources behind each attribute, then turn them into a content brief or a monthly report without you exporting anything. Ask Claude what your category associates you with and where you are losing ground, and it reads the same numbers the page shows. Setup docs.

Sources in AI Shopping

The Shopping overview and each product page now show the domains and URLs behind the answer, the same source view you get everywhere else in Peec. When your product turns up in a carousel, this is how you find out which retailer or review page is doing the work, which is usually where the off-site brief starts.

The command palette is now generally available

Command or Ctrl plus K opens the palette from any page at any time. It came out of early access this window and picked up real depth on the way: you can drill from a prompt into the domains and URLs it cites without leaving the palette, and every list now pages all the way through instead of stopping at the first twenty results.

Early Access is now self-serve

Activate Early Access in your company settings to turn these on yourself. Prompt Builder is a guided setup that generates a prompt set for your brand and shows you the branded, non-branded, intent and persona split before you accept anything. New navigation regroups the left nav around how you actually work, so Results, Prompts, Sources and Brand each have a home. Crawlability history tracks how your robots.txt changed over time and lets you replay an earlier snapshot to see which AI crawlers you were allowing or blocking then.

When an AI engine answers one of your prompts, it quietly runs its own web searches first, then writes the answer from what it finds. Until now those searches were invisible, so you were optimizing for the answer without knowing what the model actually looked for to build it.

Query Fanouts is a new page that shows you exactly those searches. See the number of distinct fanout queries, filter them by type (Search, Shopping, Synthetic), and group them by topic or prompt. It surfaces which brands the engines name most often inside their searches and the word sequences that come up again and again, so you know what the models look for before they write. Find it in the sidebar.

AI Shopping in the MCP

AI Shopping is now in the MCP and Customer API. Ask Claude how one of your products performs in ChatGPT shopping and to rewrite its product page to close the gaps, or pull product visibility, win rate, ratings, and competitors into your own scripts. Alongside that, the star rating ChatGPT shows next to each product is now visible in Peec, the products table filters by brand, and the product detail view shows the shopping and web searches that surfaced each product.

Filter every chat by what it used

The all-chats view now filters by what a chat actually did: Web Search, Shopping, Product Comparison, Ads, and Map, per chat or aggregated per prompt, so you can answer questions like "which of my prompts trigger Shopping." Chat brand filters also gained AND/OR logic, with a "no brand mentioned" option to surface the answers where nobody in your set came up.

Branding and intent tags

Every prompt is now classified automatically: branded vs non-branded, and by intent (informational, transactional, commercial). Both are available as filters, so slicing your visibility by buyer intent takes two clicks instead of a manual tagging pass.

Brand-mention filters on Sources

The Domains and URLs tables now filter by which brands are mentioned, with the same AND/OR logic as chats. It is the quickest way to find pages that talk about you and a competitor together, or pages citing a rival but not you.

A redesigned members view

Managing access is now one company-wide members page with role-based access, plus search and CSV export. If you run many seats across projects, seeing who has access to what is a lot easier.