Coderra vs Peec AI for AI search optimisation (2026)

Choose Peec AI if you want strong analytics on how AI engines mention your brand and you will publish the fixes elsewhere. Choose Coderra AISO if you want that tracking and the publishing work (Ask AISO, Content Hub, Social Studio) in one product. For the wider market map, see our buyer's guide.

Snapshot comparison

Peec facts below come from peec.ai/pricing and Peec docs as of mid-July 2026. Re-check Peec's pricing page before you buy (it is region-aware and may show USD or EUR). Coderra prices are AUD from /pricing.

Dimension	Coderra AISO	Peec AI
Positioning	AI Search Optimisation: measure, then generate and publish	AI search analytics for marketing teams and agencies
Core metrics	Visibility scores, citations, gap-led recommendations	Visibility, position, sentiment, share of voice, citation sources
Engines on self-serve	ChatGPT, Gemini, Claude, Perplexity (product messaging also covers Copilot)	Choose 3 from ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini (Enterprise unlocks more)
Entry paid plan	Growth A$99/month (Free plan available)	Starter US$95/month (50 prompts, 3 models, 1 project)
Mid / upper self-serve	Scale A$399 / Advanced A$999	Pro US$245 / Advanced US$495 per month
Content + social execution	Content Hub + Social Studio in-product	Analytics and "what to do" insights; execution is largely outside Peec
Data access	In-app Ask AISO + analytics	Official MCP server, Looker/Data Studio connector, API (higher tiers / Enterprise)
Best fit	Teams that need monitor + act in one loop	Teams and agencies that need deep monitoring, exports, and agent-readable data

What Peec AI does well

Peec is genuinely strong at the analytics job. Their own docs describe the product as the AI search analytics tool for marketing teams and agencies, measuring visibility, position, and sentiment, plus competitor and source analysis (intro).

Concrete strengths worth respecting:

• Clean measurement model. Visibility / position / sentiment is easy to explain to a stakeholder, and their docs go deep on sources, chats, and crawl insights.
• Agency-friendly packaging. Public pricing emphasises unlimited seats on paid plans, multi-project tiers, and agency docs (credits, pitch workspaces). That matters if you run multiple clients.
• MCP on paid plans. Peec documents an official MCP server so tools like Claude or Cursor can query live visibility data (MCP intro). Few mid-market tools ship that this openly.
• Looker / Data Studio and API paths. Useful when AI visibility must land in an existing BI stack (Looker docs).
• Transparent plan ladder. Starter, Pro, Advanced, and Enterprise are named on peec.ai/pricing, with model pick-lists (ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini) and clear project/country scaling.

If your bottleneck is instrumentation (and you already have writers, a CMS, and a social calendar), Peec is a fair choice.

Where Coderra is the stronger fit

Peec's own framing is analytics-first: show where you stand and what influences answers. Closing the gap still requires content and distribution. That is the monitoring vs execution split, and it is where AISO is deliberately built.

Ask AISO

Ask AISO sits on your report: ask which prompts you lose, why a competitor is cited, or what to publish next. Peec's MCP layer is excellent for pulling analytics into an external agent; Ask AISO is the in-product assistant aimed at deciding and then doing the next fix without leaving the workspace.

Content Hub

Content Hub generates the pages, FAQs, and schema-shaped drafts matched to missing prompts. Peec helps you spot citation opportunities and content gaps; Coderra is built to produce the citeable artefact in the same product.

Social Studio

Social Studio creates and schedules posts (including media) across connected channels. Peec does not market a comparable social publishing layer. If closing visibility gaps means publishing on social as well as your website, this is a structural difference, not a feature checkbox.

AISO Report and analytics

AISO still does the monitoring job: multi-engine reports, analytics over time, competitor context. Peec wins on MCP/Looker depth for data teams; Coderra wins when the KPI is "we shipped the fix."

Pricing, carefully

Coderra (AUD, GST inclusive): Free, Growth A$99/month, Scale A$399/month (Ask AISO + Social Studio), Advanced A$999/month, Enterprise custom. Details: /pricing.

Peec AI (USD, from peec.ai/pricing, verified mid-July 2026):

Plan	Monthly price	Prompts	Models	Projects	Notable adds
Starter	US$95	50	3 of 6	1	Unlimited users, daily tracking
Pro	US$245	150	3 of 6	2	Same core limits, more volume
Advanced	US$495	350	3 of 6	5	Multi-country, Looker Studio connector
Enterprise	Custom (annual)	Custom	Up to 11	Unlimited	API access, SSO, custom prompt setup

Self-serve tiers let you pick 3 models from ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, and Gemini. Enterprise unlocks additional models (including Claude Sonnet 4, GPT-5 Search, Deepseek, Qwen, and Mistral on Peec's public pricing page). All self-serve plans list unlimited users and daily tracking frequency.

Apples-to-apples: Coderra Free + Growth is cheaper to start in AUD terms for light use; Peec Starter is competitive for analytics-only seats. Once you need Social Studio and Ask AISO, compare Coderra Scale (A$399) to what you would spend on Peec plus separate content/social tools.

Who should choose which

Pick Peec AI if you need best-in-class AI search analytics, agency multi-client monitoring, MCP/Looker/API access, and you are happy executing content and social in other tools.

Pick Coderra if the pain is not "we lack another dashboard," it is "we keep rediscovering the same gaps without shipping fixes." Ask AISO + Content Hub + Social Studio is built for that monitor-and-act loop.

Also see Coderra vs Searchable, the buyer's guide, and what AISO is.