Top 10 Best Idea Generation Software of 2026

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AI In Industry

Top 10 Best Idea Generation Software of 2026

Compare the top Idea Generation Software tools and see ranked picks for faster brainstorming. Explore the best options now.

10 tools compared25 min readUpdated todayAI-verified · Expert reviewed
How we ranked these tools
01Feature Verification

Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.

02Multimedia Review Aggregation

Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.

03Synthetic User Modeling

AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.

04Human Editorial Review

Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.

Read our full methodology →

Score: Features 40% · Ease 30% · Value 30%

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Idea generation software shortens the path from rough thinking to testable plans by combining AI-assisted ideation with structured workflows for refinement, clustering, and prioritization. This ranked list compares top options so teams can match brainstorming style, collaboration needs, and governance for innovation pipelines to the right platform.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

ChatGPT

Iterative prompt-based refinement using context to converge on actionable concept variants

Built for fast brainstorming and concept drafting for products, content, and campaigns.

2

Microsoft Copilot

Editor pick

Microsoft 365 Copilot integration for ideation directly in Word, Excel, and PowerPoint

Built for teams using Microsoft 365 to turn notes into actionable ideas.

3

Google Gemini

Editor pick

Multimodal prompting that uses images plus text for ideation from visual references

Built for teams generating content and product ideas with Google-based collaboration.

Comparison Table

This comparison table evaluates idea generation software across ChatGPT, Microsoft Copilot, Google Gemini, Claude, Notion AI, and other popular assistants. It highlights how each tool generates prompts and concepts, supports different workflows, and fits specific use cases such as brainstorming, content ideation, and product planning. The goal is to help readers compare capabilities side by side so the right assistant matches the team’s process and outputs.

1
ChatGPTBest overall
AI ideation
9.2/10
Overall
2
AI assistant
8.9/10
Overall
3
AI ideation
8.5/10
Overall
4
AI ideation
8.2/10
Overall
5
workspace AI
7.9/10
Overall
6
collaborative ideation
7.5/10
Overall
7
collaborative ideation
7.2/10
Overall
8
idea management
6.9/10
Overall
9
innovation platform
6.6/10
Overall
10
enterprise ideation
6.2/10
Overall
#1

ChatGPT

AI ideation

Generates structured and unstructured idea outputs by prompting and iterating with AI across brainstorming, refinement, and concept clustering workflows.

9.2/10
Overall
Features9.5/10
Ease of Use8.9/10
Value9.1/10
Standout feature

Iterative prompt-based refinement using context to converge on actionable concept variants

ChatGPT stands out by turning plain prompts into multiple structured idea directions across business, writing, and product design. It generates brainstorming outputs like ideation lists, problem statements, value propositions, and differentiators using contextual instructions. It also supports iterative refinement through follow-up questions that narrow the brief, target audience, and constraints. The result is a fast workflow for exploring options, comparing angles, and drafting early concept language for next steps.

Pros
  • +Generates diverse idea clusters from a single prompt
  • +Refines concepts through iterative dialogue and constraint updates
  • +Produces reusable outputs like titles, outlines, and value propositions
  • +Adapts tone for audience, domain, and format requirements
Cons
  • Outputs can repeat patterns when prompts stay broad
  • Concept quality varies with input specificity and domain details
  • Needs human judgment for originality and real-world feasibility
  • Long ideation sessions can drift without explicit success criteria

Best for: Fast brainstorming and concept drafting for products, content, and campaigns

#2

Microsoft Copilot

AI assistant

Produces and expands ideas from prompts inside Microsoft experiences while supporting iterative workflows for brainstorming, outlining, and ideation.

8.9/10
Overall
Features8.8/10
Ease of Use9.0/10
Value8.9/10
Standout feature

Microsoft 365 Copilot integration for ideation directly in Word, Excel, and PowerPoint

Microsoft Copilot stands out by generating ideas inside Microsoft 365 workstreams like Word, Excel, PowerPoint, and Outlook. It can produce brainstorms, turn rough notes into structured concepts, and refine outputs through iterative prompts. Copilot also supports web and document-grounded responses via Microsoft services, which helps keep generated ideas aligned with provided context. It is strongest for teams that need repeatable ideation that plugs into existing enterprise content and collaboration.

Pros
  • +Generates structured idea lists and outlines from short prompts
  • +Refines concepts through iterative chat and targeted follow-up prompts
  • +Works directly within Microsoft 365 apps for faster concept drafting
  • +Can ground outputs using provided documents and collaboration context
Cons
  • Idea originality can plateau without strong, specific inputs
  • Long multi-step ideation can become verbose and hard to scan
  • Formatting and constraints sometimes require repeated prompt adjustments
  • Dependent on available data sources for the most accurate grounding

Best for: Teams using Microsoft 365 to turn notes into actionable ideas

#3

Google Gemini

AI ideation

Generates brainstorming options, variations, and structured concept drafts through prompt-driven AI conversations.

8.5/10
Overall
Features8.5/10
Ease of Use8.4/10
Value8.6/10
Standout feature

Multimodal prompting that uses images plus text for ideation from visual references

Google Gemini stands out with deep integration into Google’s ecosystem, which streamlines idea capture, drafting, and reuse inside shared workflows. It generates structured ideation output from prompts, including brainstorming lists, concept variations, and summaries that can be refined through follow-up questions. Multimodal understanding supports idea generation from images and text, which helps when ideating based on screenshots, sketches, or design references. Gemini also supports exporting drafted concepts into other Google tools for collaboration and iteration across teams.

Pros
  • +Strong prompt-following for converting rough ideas into multiple concrete options
  • +Multimodal input enables ideation from images, not just text
  • +Google Workspace integration speeds up collaboration and reuse
  • +Fast iterative refinement through conversational follow-ups
Cons
  • Ideation can become generic without tightly scoped prompts
  • Large brainstorming outputs require careful filtering and selection
  • Less suited for formal workflow stages like voting and approvals
  • Creative direction sometimes needs external constraints to stay focused

Best for: Teams generating content and product ideas with Google-based collaboration

#4

Claude

AI ideation

Creates idea sets and alternative drafts by transforming prompts into multiple concepts and refinement steps.

8.2/10
Overall
Features8.1/10
Ease of Use8.2/10
Value8.4/10
Standout feature

Iterative refinement with constraint control across brainstorming, rewriting, and task planning

Claude delivers idea generation with strong writing quality and structured brainstorming outputs for marketing, product, and research tasks. It can produce alternative concepts, refine drafts, and generate lists of options with clear rationale and next steps. The chat interface supports iterative exploration, letting users steer tone, constraints, and target audiences across multiple rounds.

Pros
  • +Generates diverse concept variations with coherent reasoning and readable structure
  • +Excellent at rewriting ideas into clear copy for pitches, ads, and briefs
  • +Iterative prompting quickly narrows toward usable options and next steps
Cons
  • Concept lists can over-expand without strict constraints
  • Less effective at enforcing rigid frameworks across long ideation sessions
  • Creative output may require manual filtering for novelty and feasibility

Best for: Writers and product teams iterating fast on marketing and product ideas

#5

Notion AI

workspace AI

Turns notes and briefs into brainstorms, outlines, and next-step plans inside a shared workspace that supports team ideation and iteration.

7.9/10
Overall
Features7.8/10
Ease of Use7.9/10
Value8.0/10
Standout feature

AI-assisted drafting within Notion pages and databases

Notion AI stands out by embedding idea generation directly into Notion pages, templates, and databases. It can draft outlines, expand rough notes, and rewrite ideas into structured text inside the same workspace where teams manage projects. Idea generation works best when prompts reference existing content in the page, such as goals, constraints, or prior research notes. The strongest workflow connects AI output to concrete records like tasks, brainstorm lists, and database entries.

Pros
  • +Idea drafts appear inside Notion pages and linked databases
  • +Outlines and rewrites convert messy notes into structured content
  • +Prompting can reuse context from the current page content
  • +Generated ideas can be organized into lists and database rows
Cons
  • Less specialized than dedicated ideation tools for brainstorming modes
  • Creative variety can feel limited without carefully crafted prompts
  • Tighter coupling to Notion means portability is weaker
  • Long outputs may require manual editing for clarity and fit

Best for: Teams turning raw thoughts into structured plans and database-backed tasks

#6

Miro AI

collaborative ideation

Supports AI-assisted brainstorming on collaborative whiteboards with templates for ideation, affinity mapping, and facilitation workflows.

7.5/10
Overall
Features7.7/10
Ease of Use7.3/10
Value7.6/10
Standout feature

AI-assisted ideation that converts prompts and notes into organized whiteboard content

Miro AI stands out by embedding AI assistance directly into Miro’s collaborative whiteboard environment. Idea generation is supported through features like AI-assisted prompts, diagram and concept creation, and board-wide content structuring to turn rough thoughts into organized layouts. Teams can use templates, infinite canvas navigation, and real-time co-editing to keep brainstorming visual and shareable. The tool fits ideation workflows that require clustering, summarizing, and converting notes into working canvases.

Pros
  • +AI-generated board structure accelerates turning ideas into organized concepts
  • +Works inside live whiteboards for faster ideation with teammates
  • +Templates and AI content help standardize ideation outputs
  • +Supports clustering and reframing from messy notes into themes
  • +Visual outputs align with workshop facilitation and collaborative planning
Cons
  • AI outputs can require manual cleanup for domain-specific accuracy
  • Large boards can make AI-suggested edits harder to review
  • Effective prompts depend on user clarity and existing context
  • Summaries may oversimplify nuanced brainstorming discussions

Best for: Collaborative teams generating and structuring visual ideas on shared canvases

#7

FigJam

collaborative ideation

Facilitates real-time team brainstorming on whiteboard canvases with AI-powered creation and structured ideation templates.

7.2/10
Overall
Features7.3/10
Ease of Use7.2/10
Value7.1/10
Standout feature

Sticky-note ideation with templates and board collaboration in real time

FigJam stands out for turning brainstorming into an editable, shared canvas designed for visual collaboration. Sticky notes, frames, and templates speed up ideation and structure work during workshops. Real-time cursors, comments, and reactions support feedback loops without leaving the board. Whiteboard-style interaction plus Figma integration helps teams carry ideas into product design workflows.

Pros
  • +Real-time multi-user cursors for live brainstorming sessions
  • +Templates and frames organize sticky-note workflows quickly
  • +Comments and reactions keep feedback anchored to specific ideas
  • +Connects cleanly to Figma for handoff into design work
Cons
  • Large boards can slow down navigation and layout control
  • Advanced facilitation features for structured ideation are limited
  • Export options for complex boards can require manual cleanup
  • Voting and scoring workflows can feel less specialized than dedicated tools

Best for: Product teams running visual workshops and converting ideas into designs

#8

Ideanote

idea management

Collects and organizes business ideas with a structured workflow that includes voting, categorization, and idea management for teams.

6.9/10
Overall
Features6.9/10
Ease of Use6.7/10
Value7.1/10
Standout feature

Stage-based idea workflow with voting and comment-driven evaluation

Ideanote turns idea collection into a structured workflow with voting, feedback, and status tracking. Teams can capture ideas in centralized boards, discuss them through comments, and rank them by community interest. The tool focuses on turning early brainstorming into actionable candidates via configurable stages and review cycles.

Pros
  • +Structured idea boards keep submissions organized by stage and status
  • +Voting helps surface high-signal ideas quickly for reviewers
  • +Comment threads centralize feedback for each idea
  • +Configurable workflows support repeated review cycles
Cons
  • Best fit for idea pipelines rather than full product roadmaps
  • Deep custom analytics for ideation impact are limited
  • Complex processes may require careful workflow setup
  • Large boards can feel crowded without strong filtering

Best for: Teams prioritizing and refining ideas through voting and staged review workflows

#9

Spira

innovation platform

Enables ideation, voting, and prioritization for innovation programs with an innovation pipeline for capturing actionable ideas.

6.6/10
Overall
Features6.2/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Idea generation workflow that ties prompts, constraints, and review stages to each concept

Spira differentiates itself by turning idea generation into a structured workflow for capturing, shaping, and evaluating concepts. It supports converting rough inputs into multiple directions using guided prompts and configurable constraints. The tool helps teams align on next steps by organizing ideas into reviewable states and lightweight artifacts. Spira also focuses on reducing iteration churn by keeping concept context attached to each generated variation.

Pros
  • +Guided idea prompting that converts vague inputs into structured concepts quickly
  • +Constraint-based variations to steer ideation toward specific goals and audiences
  • +Idea organization supports review states for clearer handoffs between team members
  • +Context stays attached to iterations to reduce rework during refinement
Cons
  • Generated outputs can require additional refinement to reach execution-ready quality
  • Workflow structure may feel rigid for fully open-ended brainstorming sessions
  • Depth of strategic frameworks can be limited for complex product planning
  • Collaboration features depend heavily on disciplined tagging and idea hygiene

Best for: Teams turning scattered inputs into reviewable, constraint-driven concept pipelines

#10

Brightidea

enterprise ideation

Runs enterprise ideation and innovation contests with structured submission, collaboration, and evaluation workflows.

6.2/10
Overall
Features6.2/10
Ease of Use6.0/10
Value6.4/10
Standout feature

Configurable innovation workflow pipeline that routes ideas through review, evaluation, and decisions

Brightidea stands out with structured idea workflows that turn submissions into review-ready candidates using configurable stages and decision steps. The platform supports collaboration around each idea with comments, attachments, and voting, plus controls for anonymous or identity-aware participation. Administration tools manage intake, eligibility, and permissions so organizations can run multiple programs with consistent governance. Brightidea also provides reporting to track ideation volume, participation, and outcomes across stages.

Pros
  • +Configurable idea workflow stages with review steps and approvals
  • +Collaboration on ideas with comments, files, and activity history
  • +Voting and moderation tools to surface higher-impact proposals
  • +Program-level administration for intake rules and permissions
  • +Analytics that track ideas through pipeline stages
Cons
  • Setup effort is high for teams needing simple, open ideation
  • Customization can require process design discipline from administrators
  • Complex programs may feel heavy for small participation groups
  • Less suited for rapid brainstorming without structured review stages

Best for: Enterprises running governed innovation programs with multi-stage idea workflows

How to Choose the Right Idea Generation Software

This buyer's guide explains how to pick Idea Generation Software using concrete capabilities from ChatGPT, Microsoft Copilot, Google Gemini, and Claude, plus Notion AI, Miro AI, FigJam, Ideanote, Spira, and Brightidea. It focuses on deciding between fast AI brainstorming, in-workspace ideation, visual workshop capture, and stage-based evaluation pipelines. It also maps common failure modes like generic output and workflow setup friction to specific tools that handle those issues better.

What Is Idea Generation Software?

Idea Generation Software helps teams convert a vague prompt or rough notes into organized ideas, concepts, and next steps. The strongest tools support iterative refinement, structured outputs, and follow-up narrowing to make brainstorming usable. Many teams also require idea governance through voting, comments, statuses, or review stages as concepts move toward evaluation. Tools like ChatGPT and Microsoft Copilot show how AI can produce structured idea lists and refined drafts directly from short inputs.

Key Features to Look For

These capabilities determine whether idea generation stays exploratory or becomes actionable deliverables and review-ready pipeline artifacts.

  • Iterative prompt-based refinement with context

    ChatGPT and Claude converge on usable concept variants through iterative dialogue that narrows the brief, constraints, and target audience. Microsoft Copilot also refines ideas through targeted follow-up prompts inside Microsoft 365 workstreams.

  • Workspace-native ideation inside Microsoft 365 or shared docs

    Microsoft Copilot generates and expands ideas inside Word, Excel, PowerPoint, and Outlook so ideation stays near drafting and collaboration. ChatGPT can also produce reusable titles, outlines, and value propositions that fit directly into writing workflows.

  • Multimodal idea generation from images and screenshots

    Google Gemini supports multimodal prompting that uses images plus text to drive brainstorming from visual references. This reduces the need to translate screenshots or sketches into long text descriptions before ideation starts.

  • AI-assisted drafting inside a structured workspace like Notion

    Notion AI turns notes and briefs into outlines, structured text, and database-ready content inside Notion pages. This is designed for teams that manage goals, constraints, and research notes in the same place ideas are created.

  • Visual ideation with clustering on collaborative canvases

    Miro AI converts prompts and notes into organized whiteboard content with templates for ideation and clustering. FigJam accelerates sticky-note brainstorming with real-time multi-user cursors, comments, and reactions tied to specific ideas.

  • Stage-based idea workflows with voting and review routing

    Ideanote provides a stage-based idea workflow with voting and comment-driven evaluation that keeps submissions organized by status. Spira and Brightidea extend this concept with constraint-driven generation tied to review stages and enterprise governance with approvals and reporting.

How to Choose the Right Idea Generation Software

The right fit comes from matching the ideation workflow stage needed today to the tool capabilities that produce deliverables the fastest and keep them structured.

  • Start by defining the output format and target workflow stage

    If the immediate need is rapid concept drafting like titles, outlines, and value propositions, ChatGPT is built for structured and unstructured brainstorming from prompts. If the need is to turn rough notes into concepts inside existing documents and slides, Microsoft Copilot generates ideas directly in Word, Excel, and PowerPoint.

  • Choose refinement control based on how narrow the brief must be

    When the brief needs tightening through repeated narrowing of constraints and audiences, ChatGPT and Claude support iterative refinement that pushes outputs toward actionable variants. If outputs must stay aligned with provided context, Microsoft Copilot can ground outputs using documents and collaboration context inside Microsoft 365.

  • Account for visual inputs and workshop-style capture

    If ideation starts from sketches, screenshots, or visual references, Google Gemini supports multimodal prompting using images plus text. For live group workshops, FigJam and Miro AI support real-time collaborative canvases with templates, clustering, comments, and reactions anchored to ideas.

  • Map evaluation requirements to voting and review workflow depth

    If the priority is prioritization and ranking, Ideanote adds voting and comment threads with stage and status organization for each idea. If the pipeline must include constraint-driven generation tied to review stages, Spira connects prompts, constraints, and concept states to reduce rework.

  • Select governance level based on program administration needs

    If ideation must run as an enterprise program with governance, Brightidea provides configurable stages, decision steps, and administration tools for intake rules and permissions. If teams instead need ideation integrated into project execution records, Notion AI drafts outlines and plans directly inside Notion pages and databases.

Who Needs Idea Generation Software?

Idea Generation Software fits teams that must generate options, shape concepts into usable drafts, and organize those concepts into reviewable next steps.

  • Product, content, and campaign teams doing fast brainstorming and concept drafting

    ChatGPT excels at producing multiple structured idea directions from a single prompt and converging on usable variants through iterative refinement. Claude also supports readable concept sets and strong rewriting for marketing and product pitches when ideas need to become copy-ready.

  • Microsoft 365 teams turning notes into actionable ideas inside documents

    Microsoft Copilot is designed to generate brainstorms, outlines, and refined concepts directly in Word, Excel, PowerPoint, and Outlook. This supports repeatable ideation that plugs into enterprise collaboration without switching tools.

  • Teams ideating from visual references like screenshots and sketches

    Google Gemini supports multimodal prompting using images plus text so teams can start ideation from visuals without long transcription. It also supports structured concept drafts that can be refined through follow-up questions.

  • Teams running structured innovation pipelines with voting, stages, and approvals

    Ideanote focuses on staged workflows with voting and comment-driven evaluation that keep submissions organized by stage and status. Spira adds constraint-based generation tied to review stages, and Brightidea supports enterprise programs with administration controls and reporting.

Common Mistakes to Avoid

Common buying errors come from mismatching the tool to the ideation stage, under-specifying constraints, and expecting workflow outcomes that the tool is not built to deliver.

  • Keeping prompts too broad and getting repetitive idea patterns

    ChatGPT can repeat patterns when prompts stay broad, so defining audience, constraints, and success criteria improves diversity and relevance. Claude and Google Gemini also produce more useful options when prompts include tighter direction to avoid generic output.

  • Using a whiteboard tool for governance when evaluation stages are required

    FigJam and Miro AI excel at collaborative visual capture and organization, but they do not provide stage-based voting and routing workflows like Ideanote and Spira. Brightidea is better suited when administrators need configurable stages, review steps, and approvals for governed programs.

  • Expecting perfect novelty or feasibility without human judgment

    ChatGPT and Claude generate concepts quickly, but both require human filtering because originality and real-world feasibility still depend on the provided constraints. Miro AI and FigJam similarly require manual cleanup for domain-specific accuracy when AI edits need validation.

  • Assuming long ideation sessions will stay focused without success criteria

    ChatGPT and Claude can drift during long ideation unless success criteria and constraints are made explicit. Ideanote and Spira reduce drift by structuring ideas into stages and review states that keep evaluation moving forward.

How We Selected and Ranked These Tools

We evaluated every tool on three sub-dimensions that map to buying needs: features with weight 0.4, ease of use with weight 0.3, and value with weight 0.3. The overall rating is the weighted average of those three using overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. ChatGPT separated itself by combining strong iterative prompt-based refinement with high feature coverage for generating structured idea clusters and reusable concept language, which directly supports both speed and usability for drafting.

Frequently Asked Questions About Idea Generation Software

What tool best accelerates early brainstorming into structured idea directions?
ChatGPT turns plain prompts into multiple structured idea directions with outputs like ideation lists, problem statements, and value propositions. Claude complements that workflow with constraint-driven alternatives and cleaner writing-oriented drafts for marketing and product concepts.
Which idea generation software fits teams that already work inside Microsoft 365?
Microsoft Copilot generates ideas inside Word, Excel, PowerPoint, and Outlook so teams can draft concepts without switching apps. That workflow pairs repeatable ideation with document-grounded context already stored in Microsoft workstreams.
Which option is best for capturing and generating ideas from visual references like screenshots or sketches?
Google Gemini supports multimodal prompting, so ideas can be generated from images plus text in the same session. Miro AI also supports visual ideation on a shared whiteboard where rough concepts can be structured into diagrams and clusters.
What tool is most effective when ideation must stay inside a project management workspace?
Notion AI generates and refines idea text directly within Notion pages, templates, and databases so brainstorms map to goals and constraints already stored in the workspace. It is most effective when prompts reference existing notes so AI output becomes structured records like outlines, plans, and database-backed task entries.
Which platform is built for running workshops that convert sticky-note brainstorming into actionable designs?
FigJam supports sticky-note ideation with frames, templates, and real-time collaboration features like comments and reactions. It is commonly paired with Figma-based product design handoff so workshop concepts can move from board structure into design workflows.
Which tools are designed for voting and staged review instead of one-off idea generation?
Ideanote focuses on centralized idea boards with voting, comments, and status tracking across configurable stages. Brightidea also routes submissions through review-ready stages and decision steps with reporting so ideation volume and outcomes can be tracked across programs.
How do idea generation workflows differ between IdeaNote, Spira, and Brightidea?
Ideanote emphasizes community-style evaluation through voting and comment-driven ranking attached to idea boards. Spira turns scattered inputs into a constraint-driven pipeline that keeps context attached to each generated variation and routes concepts into reviewable states. Brightidea adds governance controls like anonymous or identity-aware participation plus admin tools for intake and permissions.
Which software helps prevent lost context when iterating on multiple concept variations?
Spira keeps prompt context, constraints, and review states attached to each generated variation, which reduces churn during repeated refinements. ChatGPT and Claude help at the drafting stage by supporting iterative follow-up questions that narrow audience and constraints into converging variants.
What is the most reliable way to turn generated ideas into artifacts a team can share and collaborate on immediately?
Miro AI turns prompt outputs into structured whiteboard content through AI-assisted prompts, diagram creation, and board-wide organization. FigJam provides editable shared canvases with templates, while Microsoft Copilot places drafts directly into team documents like Word and PowerPoint for immediate collaboration.
What common problem occurs when ideation output is too broad, and how can tools address it?
Broad ideation often happens when prompts lack constraints like target audience, success criteria, or limitations. ChatGPT and Claude reduce scope through iterative refinement using contextual instructions and constraint control, while Spira uses guided prompts and configurable constraints to produce reviewable concept candidates.

Conclusion

After evaluating 10 ai in industry, ChatGPT stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
ChatGPT

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

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